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基于差异进化算法的土层多参数动态反分析 被引量:3

Study on Multi-parametric Back Analysis of Soils Based on Difference Evolutionary Algorithm
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摘要 为得到更加真实准确的深基坑施工过程各土层参数值,确保深基坑工程质量和安全稳定性,以大连某地铁车站深基坑工程为研究背景,根据现场地下连续墙水平位移实测数据,采用正交设计法对各土层参数进行敏感性分析,然后,基于差异进化多参数反分析方法,对深基坑各土层参数进行静态和动态位移优化,最后,根据地下连续墙体水平位移现场监测数据,对数值模拟结果进行辅助验证。研究结果表明:动态反分析的土层参数值更接近土层真实值,利用动态反分析得到的土层参数进行数值模拟分析,其结果比静态反分析模拟结果更接近实际监测数据,从而验证了该方法的合理性和正确性,为后续深基坑稳定性研究和变形预测提供技术支持。 In order to get more accurate and real value of the parameter of each soil layer in deep foundation pit,to ensure the stability of the quality and safety of deep foundation pit engineering,the difference evolutionary algorithm was used to study the soil parameters. Taking a deep foundation pit project of one railway station in Dalian city as engineering background,according to the measured displacement data of continuous wall from actual monitoring,the orthogonal design method was taken to analyze the sensitivity of each soil parameter. Then,based on difference evolutionary multi parameter inverse analysis method the static and dynamic displacements are optimized for various soil parameters of deep foundation pit,finally using the field monitoring data of horizontal displacement of diaphragm wall the calculation results are verified. The simulation results show that the soil parameters obtained from dynamic back analysis are more close to the true values. When the soil parameters calculated based on the dynamic back analysis are used for numerical simulation analysis,the simulation results are closer to the actual monitoring data than those from static inverse analysis. It proves that the method is reasonable and correct,which offers a technical support for the study on stability and deformation forecast of deep foundation pit
出处 《地下空间与工程学报》 CSCD 北大核心 2016年第2期464-470,共7页 Chinese Journal of Underground Space and Engineering
基金 国家自然科学基金(U1261121/E0422) 辽宁省自然科学基金(2014004027)
关键词 土层参数 位移优化反分析 差异进化算法 正交设计法 敏感性分析 soil parameters back analysis of measured displacements difference evolutionary algorithm orthogonal design sensitivity analysis
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