滑坡弹性模量位移反分析及其应用
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摘要
岩土体的弹性模量是岩土工程设计和施工中的重要参数,一般不易通过实验获取。以三峡库区某滑坡为例,结合实地调查资料,分析了滑坡变形特点,得出滑坡后缘主要为沉降变形,而中部、前缘主要以纵向变形为主的结论。基于正交设计和神经网络的位移反分析方法,既能科学地选取多介质滑坡反演参数,又能较好地模拟边坡岩体位移与力学参数之间的非线性关系,为弹性模量的反算和滑坡空间位移计算提供了一定依据。
The elastic modulus of landslide is an important parameter in design and construction of geotechnical engineering,which is not easily obtained by experiment.Taking Zhao Shuling landslide in the Three Gorges reservoir as an example,based on the principle of orthogonal design,the back analysis parameters and levels are selected and the three-dimensional explicit difference method FLAC is used to do back analysis of inelastic displacement.The artificial neural network is trained by the calculation results of orthogonal design,then the best parameter is obtained by back analysis.Finally,the spatial displacement under the condition of reservoir water level decreaseing from 175m to 145m accumulatively 30 days' rainfall is calculated.Combining with the field survey data,the deformation features of Zhao Shuling are analyzed.And it is concluded that the back edge of landslide is influenced by settlement,the middle part and front edge are influenced by longitudinal deformation.The back analysis of deformation based orthogonal design and BP neural network not only could select parameters of multiple medium landslide scientifically,but also will simulate the nonlinear relation between displacement and mechanical parameters well,which provide basis for back analysis of elastic modulus and calculation of spatial displacement.
The elastic modulus of landslide is an important parameter in design and construction of geotechnical engineering,which is not easily obtained by experiment.Taking Zhao Shuling landslide in the Three Gorges reservoir as an example,based on the principle of orthogonal design,the back analysis parameters and levels are selected and the three-dimensional explicit difference method FLAC is used to do back analysis of inelastic displacement.The artificial neural network is trained by the calculation results of orthogonal design,then the best parameter is obtained by back analysis.Finally,the spatial displacement under the condition of reservoir water level decreaseing from 175m to 145m accumulatively 30 days' rainfall is calculated.Combining with the field survey data,the deformation features of Zhao Shuling are analyzed.And it is concluded that the back edge of landslide is influenced by settlement,the middle part and front edge are influenced by longitudinal deformation.The back analysis of deformation based orthogonal design and BP neural network not only could select parameters of multiple medium landslide scientifically,but also will simulate the nonlinear relation between displacement and mechanical parameters well,which provide basis for back analysis of elastic modulus and calculation of spatial displacement.
引文
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[2]邓建辉,丰定祥,葛修润,等.多介质边坡弹性模量位移反分析模型与优化算法[J].岩土工程学报,1997,19(3).
[3]杨志法,熊顺成,王存玉,等.关于位移反分析的某些考虑[J].岩石力学与工程学报,1995,14(1).
[4]刘维倩,黄光远,穆永科,等.岩土工程中的位移反分析法[J].计算结构力学及其应用,1995,12(1).
[5]邓建辉,丰定祥,葛修润.边坡弹性模量位移反分析及其工程应用[J].水利学报,1998(1).
[6]李立新,石程云.岩土工程位移反分析方法综述[J].沈阳建筑工程学院学报,1996,12(3).
[7]杨志法.岩土工程反分析原理及应用[M].北京:地震出版社,2002.
[8]杨林德.岩土工程问题的反演理论与工程实践[M].北京:科学出版社,1996.
[9]褚航,龚晓南.利用有限元法进行参数反分析的研究[J].桥梁与结构,2004(4).
[10]梅松华,李文秀,盛谦.FLAC在岩土工程参数反演中的应用[J].矿冶工程,2000,20(4).
[11]石安池,徐卫亚,周家文,等.边坡弹性模量反分析的模拟退火BP网络方法[J].河海大学学报(自然科学版),2006,34(1).
[12]冯夏庭.智能岩石力学导论[M].北京:科学出版社,2000.
[13]中国地质大学工程学院.三峡工程库区巴东县新城区地质灾害实验场地的建立及综合治理示范研究报告[R].2001.
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