Parameter identification procedure of initial stress field parameters in rock masses based on genetic algorithm

被引：0

作者：

Li, SJ ^{[1
]}

Liu, YX ^{[1
]}

Wang, DG ^{[1
]}

He, X ^{[1
]}

机构：

[1] Dalian Univ Technol, State Key Lab Struct Anal Ind Equip, Dalian, Peoples R China

来源：

FRONTIERS OF ROCK MECHANICS AND SUSTAINABLE DEVELOPMENT IN THE 21ST CENTURY | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Genetic algorithm is an adaptive procedure that finds solutions to the inverse problem by an evolutionary process based on the natural selection. The application of genetic algorithm for solving the non-linear inversion of the initial stress fields is discussed. The inversion algorithm was built to identify the initial stress fields according to the observing data of deformation convergence during the tunnel excavation. The numerical calculations testify that the genetic algorithm for solving the inverse problem is robust, global and generally simpler to apply.

引用

页码：467 / 469

页数：3

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