Numerical simulation of rock deformation during the mineralization of the Xiangshan uranium deposit, Jiangxi province, south China
Numerical simulation of rock deformation during the mineralization of the Xiangshan uranium deposit, Jiangxi province, south China作者机构:Beijing General Research Institute of Mining & Metallurgy Beijing 100044 China State Key Laboratory of Geological Process and Mineral Resources China University of Geosciences Beijing 100083 China Key Laboratory of Marginal Sea Geology Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou 510640 China
出 版 物:《Journal of China University of Mining and Technology》 (中国矿业大学学报(英文版))
年 卷 期:2008年第18卷第3期
页 面:342-346页
核心收录:
学科分类:081901[工学-采矿工程] 0819[工学-矿业工程] 08[工学]
基 金:Project GPMR0547 supported by the State Key Laboratory of Geological Process and Mineral Resources China University of Geosciences
主 题:numerical simulation Xiangshan rock deformation volumetric strain shear strain pore pressure
摘 要:The Xiangshan uranium deposit in Jiangxi province is one of the most important uranium deposits in China. The aim of our study is to obtain a better understanding of rock deformation and dilation associated with mineralization, to predict the most favorable locations of mineralization, and to assist with future mineral exploration in this deposit. On the basis of geological and structural data from previous studies, we have constructed a coupled deformation and fluid flow numerical model and simulated the faulting deformation and major mechanical factors controlling mineralization in the deposit. Particular attention has been paid to variations in regional stress, distributions of shear strain, volumetric strain and pore pressure. The relationship between the struc-tural/faulting movement and mineralization is obtained through analyzing the deformation state of fault zones. The results suggest that the mineralization is related to volumetric strain, shear strain and pore pressures. The locations displaying all these factors rep-resent the most favorable sites for mineralization. These model results are important for guiding the exploration of new uranium deposits in Xiangshan.