In-situ stress field analysis based on multi-source information integration

被引:0
|
作者
Yin, Jianmin [1 ]
Li, Yongsong [1 ,2 ]
Chen, Jianping [2 ]
Ai, Kai [1 ]
Mao, Ning [1 ]
机构
[1] Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan, Hubei 430010, China
[2] Faculty of Engineering, China University of Geosciences, Wuhan, Hubei 430074, China
关键词
Simulated annealing - Information retrieval - Stress concentration - Data integration - Open pit mining - Integration - Rocks - Particle swarm optimization (PSO);
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中图分类号
学科分类号
摘要
Based on data mining and feature extracting of the source data of the in-situ stress field's characters, and combined with the technology of multi-source information integration, the analytical method of multi-source information integration for in-situ stress field is proposed. And the method is organized by three gradational steps: the first time of multi-source information integration for the source data of the in-situ stress field's characters→calculation of multi-source information integration→the second time of integration, feedback information integration. The calculation of multi-source information integrationis is carried out combining with uniform design and hybrid algorithm of simulated annealing and particle swarm optimization. This method is applied to simulate the in-situ stress field of Baihetan hydropower station, and the calculated results are consentaneous with the testing results. Meanwhile, the rock-core disking phenomenon when drilling and spalling phenomenon in the testing tunnel during excavation is compared with calculated results. It is shown that the proposed analytical method of multi-source information integration for in-situ stress field from the two sides of stress's magnitude and azimuth, is reasonable and practicable.
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页码:3950 / 3958
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