作者机构：
[Hamza, Mohammed F.; Hamza, MF] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;[Khalafalla, Mahmoud S.; Hamza, Mohammed F.; Hamza, MF] Nucl Mat Author, POB 530, Cairo 4710030, Egypt.;[Swelim, Mahmoud A.; Abdel-Rahman, AAH; Abdel-Rahman, Adel A. -H.; El-Habibi, Gehan A.] Menoufia Univ, Fac Sci, Chem Dept, Shibin Al Kawm, Egypt.;[Amer, Hamada H.] Taif Univ, Turabah Univ Coll, Dept Chem, Taif 21944, Saudi Arabia.;[Fouda, Amr] Al Azhar Univ, Fac Sci, Bot & Microbiol Dept, Cairo 11884, Egypt.
通讯机构：
[Abdel-Rahman, AAH ; Salem, WM ] M;[Hamza, MF ] U;Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;Nucl Mat Author, POB 530, Cairo 4710030, Egypt.;Menoufia Univ, Fac Sci, Chem Dept, Shibin Al Kawm, Egypt.
关键词：
sulfur-functionalized chitosan composite;silver sorption;enhancing selectivity;spent film
摘要：
A functionalized chitosan thiourea composite (CH-TU) was successfully synthesized using formaldehyde as a crosslinking agent for enhancing silver recovery from different aqueous solutions. Comparison sorption studies with a non-functionalized composite (CH-F) as a reference material were conducted. Grafting led to an improvement in the sorption performances, i.e., 0.763 mmol Ag g−1 for CH-F vs. 2.125 mmol Ag g−1 for CH-TU. The pseudo-first-order rate equation (PFORE) was fitted to the sorption kinetics at saturation times of 40 and 30 min for CH-F and CH-TU, respectively, while the sorption isotherms were fitted with Langmuir and Sips equations for both sorbents. Fourier transform infrared (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray analysis (EDX), nitrogen sorption–desorption isotherms (BET-surface area), elemental analysis, thermogravimetric analysis (TGA) and pH of the zero charge (pHpzc) were used to characterize and investigate the sorption mechanism. Sorption was performed three times to check the reproducibility, while the sorption performances were stable over 20 cycles, with a limited decrease in performance (5 and 3% for CH-F and CH-TU, respectively). Nitric acid solution (0.3 M) was efficient for desorbing the adsorbed metal ions. The grafted sorbent with thiourea is considered as a promising tool for recovering Ag(I) from acidic waste leachate derived from waste spent films.
作者机构：
[Wei, Yuezhou; Hamza, Mohammed F.] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;[Zaki, Doaa I.; Hamza, Mohammed F.; Abdellah, Walid M.] Nucl Mat Author, El Maadi, Cairo 11728, Egypt.;[Wei, Yuezhou] Shanghai Jiao Tong Univ, Sch Nucl Sci & Engn, Shanghai 200240, Peoples R China.;[Althumayri, Khalid] Taibah Univ, Coll Sci, Dept Chem, Al Madinah Al Munawarah 30002, Saudi Arabia.;[Brostow, Witold; Hamad, Nora A.] Univ North Texas, Dept Mat Sci & Engn, Lab Adv Polymers & Optimized Mat LAPOM, 3940 North Elm St, Denton, TX 76207 USA.
通讯机构：
[Mohammed F. Hamza; Yuezhou Wei] A;Authors to whom correspondence should be addressed.<&wdkj&>Nuclear Materials Authority, El-Maadi, Cairo 11728, Egypt<&wdkj&>School of Nuclear Science and Technology, University of South China, Hengyang 421001, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China<&wdkj&>School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
关键词：
biopolymer;phosphorylated sorbent;uptake kinetics;sorption isotherms;rare earth elements
摘要：
<jats:p>Phosphonic acid functionalization of gellan gum and chitosan biopolymers was successfully performed. In the first step, the sorption was investigated using La(III) ions before testing for the recovery of rare earth elements (REEs) from pretreated industrial acidic leachate. The sorbent was characterized by Fourier-transform infrared (FTIR), scanning electron microscopy with energy dispersive X-ray analysis (SEM-EDX), thermogravimetric analysis (TGA), Brunauer–Emmett–Teller (BET), and pH of zero charge (pHPZC) determination. FTIR and EDX results show efficient grafting of phosphoryl groups. The sorption was determined for the crude materials before functionalization (PGEG) and after phosphorylation (TBP-PGEG). More efficient sorption was seen for phosphorylated sorbent than for the crude composite. The sorption capacity is 0.226 mmol La g−1 for the PGEG while the value is 0.78 mmol La g−1 for the TBP-PGEG. We infer that phosphonate groups participate in the sorption. The most effective sorption is at pH = 4. The kinetic behavior was described using pseudo first-order equations (PFORE), pseudo second-order equations (PSORE), and resistance to intraparticle diffusion (RIDE). The sorption isotherms can be better represented by Langmuir and Sips equations than by the Freundlich equation. The sorbent shows high stability performance during reuse cycles with a limit on the decrease in the sorption performances and stability in the desorption performances. We have thus developed a good tool for the recovery of REEs with a selectivity higher than that of the non-functionalized components.</jats:p>
作者机构：
[Su, Lingling; Chen, Zhenping; Yang, Chao; Lei, Jichong; Huang, Gan; Yu, Tao] Univ South China, Sch Nucl Sci & Technol, Hengyang 421000, Peoples R China.;[Chen, Zhenping; Yang, Chao; Lei, Jichong; Huang, Gan; Yu, Tao] Univ South China, Res Ctr Digital Nucl Reactor Engn & Technol Hunan, Hengyang 421000, Peoples R China.
通讯机构：
[Zhenping Chen; Tao Yu] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Nuclear Science and Technology, University of South China, Hengyang 421000, China<&wdkj&>Research Center for Digital Nuclear Reactor Engineering and Technology of Hunan Province, University of South China, Hengyang 421000, China
关键词：
long burning cycle;reactivity loss;breeding performance;physical properties;lead-based reactors
摘要：
The choice of an appropriate fuel can effectively prolong the refueling cycle of a reactor core. The Th-U cycle and U-Pu cycle are commonly used fuel breeding cycles. Oxide fuels, nitride fuels, and metal fuels are the primary candidate fuels for lead-based reactors. For fuel selection, a core model of a 60 MWt reactor was established. The results show that the breeding performance of the breeding fuel Th-232 is better than that of U-238, and the driving performance of the driving fuel Pu-239 is better than that of U-235. Therefore, PuO2-ThO2, PuN-ThN, and Pu-Th-Zr fuels may have good performance. By comparing the reactivity loss of three types of fuel, it was found that the reactivity loss of PuN-ThN fuel is the smallest. Hence, using PuN-ThN fuel as a core fuel can result in a longer refueling cycle. On this basis, PuN-ThN fuel was used in the preliminary design of the 120 MWt core physical model. It can be seen that when PuN-ThN fuel is used as the core fuel, a smaller reactivity swing (1408 pcm), smaller power peak factor, and super long refueling cycle (more than 30 years) can be obtained.
期刊：
Journal of Cleaner Production,2020年258:120945 ISSN：0959-6526
通讯作者：
Wang, Hanqing
作者机构：
[Ding, Rui; Sui, Yang; Wang, Hanqing] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;[Sui, Yang] Fujian Fuqing Nucl Power Co Ltd, Fuqing 350300, Peoples R China.
通讯机构：
[Wang, Hanqing] U;Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
关键词：
Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access View all citing articles on Scopus Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access View all citing articles on Scopus Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Citation Excerpt : Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access 2020;IEEE Access
摘要：
Nuclear Power Plant (NPP) construction project is a mega one with high level of occupational health and safety and environment (OHSE) risks, and it is necessary to propose an approach for the OHSE risk assessment so as to prevent the OHSE accidents or reduce their outcomes. However, there has not been such an approach due to the high uncertainty and complexity of NPP construction project. Therefore, this paper proposed a novel approach for the OHSE risk assessment which includes systematically identifying the OHSE risks by using brainstorming method, establishing an OHSE risk assessment index system by using Delphi method, and formulating a mathematical model by combining set pair analysis (SPA), trapezoidal fuzzy number (TPFN), and set-valued statistics (SVS) methods for determining the overall OHSE risk level for NPP construction project. The approach was used to assess the OHSE risks for the NPP construction project in East China, and its overall OHSE risk level was assessed at level 2 (low OHSE risk level). In addition, the problems in the OHSE risk management were found, and the corresponding OHSE risk treatments for these problems were implemented. The results showed that the approach helped reduce the OHSE risk level and protect the workers' occupational health and safety and the environment while the NPP construction project was under construction.
Nuclear Power Plant (NPP) construction project is a mega one with high level of occupational health and safety and environment (OHSE) risks, and it is necessary to propose an approach for the OHSE risk assessment so as to prevent the OHSE accidents or reduce their outcomes. However, there has not been such an approach due to the high uncertainty and complexity of NPP construction project. Therefore, this paper proposed a novel approach for the OHSE risk assessment which includes systematically identifying the OHSE risks by using brainstorming method, establishing an OHSE risk assessment index system by using Delphi method, and formulating a mathematical model by combining set pair analysis (SPA), trapezoidal fuzzy number (TPFN), and set-valued statistics (SVS) methods for determining the overall OHSE risk level for NPP construction project. The approach was used to assess the OHSE risks for the NPP construction project in East China, and its overall OHSE risk level was assessed at level 2 (low OHSE risk level). In addition, the problems in the OHSE risk management were found, and the corresponding OHSE risk treatments for these problems were implemented. The results showed that the approach helped reduce the OHSE risk level and protect the workers' occupational health and safety and the environment while the NPP construction project was under construction.
作者机构：
[Li, Pengcheng; Zhang, Li; Li, Xiaofang; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Pengcheng] Univ N Carolina, Syst Engn & Engn Management, Charlotte, NC 28223 USA.;[Li, Pengcheng] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Dai, Licao] U;Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
关键词：
Model validation;Simulation experiment;SA reliability;Fuzzy logic-AHP;Digital nuclear power plants
摘要：
Situation awareness (SA) reliability of operators is an important component of human reliability analysis (HRA) in digital nuclear power plants (NPPs). Therefore, how to identify effectively and reliably the risk of SA errors is of great significance for SA error prevention and risk reduction. SA reliability assessment model or method based on fuzzy logic and analytic hierarchy process (AHP) is forwarded in the first paper. In order to prove its effectiveness and reliability, sensitivity analysis and simulator experiments are applied to testify our model in this paper. The results show that the proposed assessment model of SA reliability has a certain degree of sensitivity as well as an accuracy of prediction, and there are a strong correlation and consistency between the predicted value from fuzzy inference system and the real value (or observed value) from simulator experiments. Although there are some differences between the predicted value and the real value based on the perspective of HRA, the model can be used to predict SA error probability or SA reliability within the range of 10 error factors as well as provide data and theoretical support for SA reliability assessment.
作者机构：
[Li, Pengcheng; Zhang, Li; Li, Xiaofang; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Pengcheng] Univ N Carolina, Syst Engn & Engn Management, Charlotte, NC 28223 USA.;[Li, Pengcheng] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Zou, Yanhua] Hunan Inst Technol, Inst Human Factor & Safety Management, Hengyang 421002, Hunan, Peoples R China.
通讯机构：
[Li, Pengcheng] U;Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
关键词：
Situation awareness reliability;Fuzzy logic;Analytic hierarchy process;Digital nuclear power plants
摘要：
In digital control rooms, situation awareness (SA) reliability has become an important element affecting operator's reliability. In order to establish a more reasonable assessment method of SA reliability under the condition of very lack of data, based on the established influential factor model of SA reliability considering the causality relationship of performance shaping factors (PSFs) in this paper, a fuzzy logic and analytic hierarchy process (AHP)-based method is established to more objectively assess SA reliability. The weight of PSFs is identified using AHP, and a fuzzy logic method is used to simulate the fuzzy assessment and reasoning process of operator's SA reliability, and a standardized method is built to determine the fuzzy rule base of fuzzy reasoning system for SA reliability assessment for reducing the subjectivity and uncertainty of expert judgment. Finally, an example is provided to illustrate the specific application of the proposed method. The results show that the established method takes account of the weight of PSFs and their causal influencing relationship, and the fuzzy logic method used to assess SA reliability can overcome the subjectivity and uncertainty of expert judgment, which makes the assessment results more objective and realistic. Furthermore, the method can be used to get more SA error data and have a wide range of application value.
