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基于子模型法的初始地应力场精细模拟研究 被引量:15

Refined simulation of initial geostress field based on sub-model method
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摘要 基于子模型方法的思想,给出了一种有效推求初始地应力场的方法。首先建立大范围的整体模型,主要考虑工程附近主要地形、地势的影响,采用神经网络方法初步反演地应力场。然后考虑局部范围内的主要地质构造,建立小范围精细子模型,通过插值获得位移边界条件,进行有限元迭代计算,得到该区域更准确的初始地应力场。最后将该方法应用于溪洛渡左岸坝区初始地应力场反演分析中,结果表明:该方法化整为零,降低了问题的复杂性,能高效获取更为准确的初始地应力场,为工程设计与施工奠定了良好基础。 An effective approach for formulating the initial geostress field was presented based on the ideas of sub-model method. Firstly, considering mainly the topographical influences of the nearby engineering projects, a large-scale monolithic model was created, and the geostress field was back analyzed initially with the neural network method. Then, considering influences of some main geological structures, the refined sub-model was created, and the more precise initial geostress field of the sub-model was obtained by finite element analysis iteration with interpolated displacement boundary conditions. Finally, the back analysis on the initial geostress filed of the left bank region for Xiluodu Hydropower Project was adopted to verify the described method. It was shown that the complication of problems was reduced by this approach and the more accurate initial geostress field could be obtained efficiently as a foundation for the engineering design and construction.
出处 《岩土工程学报》 EI CAS CSCD 北大核心 2008年第6期930-934,共5页 Chinese Journal of Geotechnical Engineering
基金 国家自然科学基金资助项目(50379039) 长沙理工大学创新团队计划(2007-005) 长沙理工大学人才引进基金资助项目
关键词 初始地应力场 有限单元法 反演分析 神经网络 子模型法 initial geostress field finite element method back analysis neural network sub-model method
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