期刊论文

Feng, SY

英文

Journal of Environmental Radioactivity

0265-931X

2025

289

107782

10.1016/j.jenvrad.2025.107782

CRediT authorship contribution statement Wenhao Wang: Writing – review & editing, Writing – original draft, Visualization, Software, Methodology. Shengyang Feng: Writing – review & editing, Supervision, Software, Methodology, acquisition, Conceptualization. Xiaodong Wang: Writing – review & editing, Supervision, Project administration. Yong Liu: Writing – review & editing, Supervision, acquisition. Shili Han: Writing – review & editing, Supervision. Guoqiang Zeng: Writing – review & editing, Supervision.

本校为第一且通讯机构

In geological and engineering practices, determining fracture intensity of rock masses is critical for the exploitation of resources such as oil, natural gas, uranium, and geothermal energy. Due to the lack of technological means to directly measure the distribution of rock fractures, it is very difficult to obtain the rock fracture intensity. This paper proposes an integrated approach to predicting rock fracture intensity based on artificial neural network (ANN) and radon tracing. Firstly, a radon migration model was established to numerically simulate radon exhalation rate of fractured rock ...