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基于敏感性分析的裂隙岩体渗流与应力静态全耦合参数反演
引用本文:王媛,刘杰.基于敏感性分析的裂隙岩体渗流与应力静态全耦合参数反演[J].岩土力学,2009,30(2):311-317.
作者姓名:王媛  刘杰
作者单位:1. 河海大学 岩土力学与堤坝工程教育部重点实验室,南京 210098;2. 河海大学 岩土工程科学研究所,南京 210098; 3. 广州市建设委员会,广州 510032
基金项目:国家自然科学基金雅砻江联合开发基金,科技部科技支撑计划 
摘    要:基于求解稳定渗流场与弹性位移场耦合问题的全耦合分析方法,应用提出的混合遗传算法作为优化算法,同时利用水头、位移等多类型量测资料,提出了裂隙岩体渗流与应力静态全耦合的参数反演方法。在目标函数建立中考虑了实测水头对渗流参数的敏感性,在待反演力学未知参数的选取中,依据提出的相对灵敏度概念,考虑了实测位移对力学参数的敏感性。针对某裂隙岸坡算例,研究了水库蓄水过程中位移场对力学参数敏感性,据此实现位移测点的优化布置,并以渗流场与位移场全耦合正分析计算结果作为假想实测值,进行该岩坡的全耦合参数反演分析,从而验证了所提出理论与研制程序的正确性和可行性。

关 键 词:裂隙岩体  静态耦合分析  参数反问题  混合遗传算法  敏感性分析  
收稿时间:2007-04-17

Parameter inversion for fully coupled problem of steady fluid flow and stress in fractured rock masses based on sensitivity analysis
WANG Yuan,LIU Jie.Parameter inversion for fully coupled problem of steady fluid flow and stress in fractured rock masses based on sensitivity analysis[J].Rock and Soil Mechanics,2009,30(2):311-317.
Authors:WANG Yuan  LIU Jie
Institution:1. Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing 210098, China; 2. Research Institute of Geotechnical Engineering, Hohai University, Nanjing 21098, China; 3. Construction Committee of Guangzhou City, Guangzhou 510032, China
Abstract:A parameter inversion method is presented for fully coupled analysis of steady water flow and stress in fissured rock masses based on forward coupling analysis and new hybrid genetic optimization algorithms, as well as different types in-situ measured data of both water head and displacement. The sensitivity of in-situ water head measured data to seepage parameters is considered in constructing the objective function and the sensitivity of in-situ displacement measured data to mechanical parameters is considered in choosing unknown parameters for inversion based on the concept of relative sensitivity. The validity and rationality of the method are studied for a fissured bank rock slope problem. According to sensitivity analysis of displacement to mechanical parameters, the best optimized location of points for displacement measuring is suggested. The fully coupled inversion of parameters for the slope is carried out as wall as forward analysis results are assumed to be the measured data.
Keywords:fissured rock mass  static coupled analysis  parameter inverse problem  hybrid genetic algorithms  sensitivity analysis
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