3-D Fracture Network Modelling in Hydropower Engineering Based on Optimal Monte Carlo Simulation  

作　　者：Pan Yue Denghua Zhong Fugen Yan Han Wu Yichi Zhang 

机构地区：[1]State Key Laboratory of Hydraulic Engineering Simulation and Safety,School of Civil Engineering,Tianjin University [2]Changjiang Institute of Survey,Planning,Design and Research

出　　处：《Transactions of Tianjin University》2017年第4期351-359,共9页天津大学学报（英文版）

基　　金：supported by the National Basic Research Program of China (973 Program, No. 2013CB035904);the Innovative Research Groups of the National Natural Science Foundation of China (No. 51321065);the National Natural Science Foundation of China (No. 51439005)

摘　　要：Effectively and accurately modelling the spatial relation of fracture surfaces is crucial in the design and construction of large hydropower dams having a complex underlying geology. However, fracture surfaces are randomly formed and vary greatly with respect to their spatial distribution, which makes the construction of accurate 3-D models challenging. In this study, we use an optimal Monte Carlo simulation and dynamic conditioning to construct a fracture network model. We found the optimal Monte Carlo simulation to effectively reduce the error associated with the Monte Carlo method and use dynamic conditioning to ensure the consistency of the model with the actual distribution of fractures on the excavation faces and outcrops. We applied this novel approach to a hydropower station on the Jinshajiang River, China. The simulation results matched the real sampled values well, confirming that the model is capable of effectively and accurately simulating the spatial relations in a fracture network. © 2017, Tianjin University and Springer-Verlag Berlin Heidelberg.Effectively and accurately modelling the spatial relation of fracture surfaces is crucial in the design and construction of large hydropower dams having a complex underlying geology. However, fracture surfaces are randomly formed and vary greatly with respect to their spatial distribution, which makes the construction of accurate 3-D models challenging. In this study, we use an optimal Monte Carlo simulation and dynamic conditioning to construct a fracture network model. We found the optimal Monte Carlo simulation to effectively reduce the error associated with the Monte Carlo method and use dynamic conditioning to ensure the consistency of the model with the actual distribution of fractures on the excavation faces and outcrops. We applied this novel approach to a hydropower station on the Jinshajiang River, China. The simulation results matched the real sampled values well, confirming that the model is capable of effectively and accurately simulating the spatial relations in a fracture network.

关 键 词：FRACTURE Hydroelectric power Hydroelectric power plants Intelligent systems Underground structures 

分 类 号：TV221.2[水利工程—水工结构工程]