| 浅埋地下洞室围岩岩体力学参数反分析研究 |
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| 引用本文： | 戴薇,石崇,张金龙.浅埋地下洞室围岩岩体力学参数反分析研究[J].河北工程大学学报,2019,36(1):59-63. |
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| 作者姓名： | 戴薇 石崇 张金龙 |
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| 作者单位： | 河海大学岩土力学与堤坝重点实验室;河海大学岩土工程研究所;中国电建集团中南勘测设计研究院有限公司 |
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| 基金项目： | 国家自然科学基金面上资助项目（51679071，41831278）；国家重点基础研究发展计划（973计划）（2015CB057903）；江苏省自然科学基金资助项目（BK20171434） |
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| 摘 要： | 基于随机权重粒子群和最小二乘支持向量机方法建立地下洞室力学参数位移反分析模型,利用正交试验和3DEC模型确定各水平参数的学习样本,对地下洞室岩体的力学参数进行位移反分析。结果表明:利用支持向量机方法的非线性映射可以实现力学参数的反分析;反演得到主厂房围岩方向的侧压力系数Kx,Ky为0.453、0.644;三类岩体的弹性模量E3,E4,E5分别为10.15、8.20、2.62 GPa;将反演分析的参数带入3DEC模型得到的位移与实测位移相对误差较小,验证了反演参数的合理性。
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| 关 键 词： | 参数反演 粒子群方法 支持向量机方法 块体离散元 |
| 收稿时间： | 2018/9/12 0:00:00 |
Study on Inverse Analysis of Mechanical Parameters ofSurrounding Rock Mass in Shallow Underground Cavern |
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| Authors: | DAI Wei SHI Chong and ZHANG Jinlong |
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| Affiliation: | Key Laboratory of Geomechanics and Embankment, Hohai University, Nanjing, Jiangsu 210098, China;Institute of Geotechnical Research, Hohai University, Nanjing, Jiangsu 210098, China,Key Laboratory of Geomechanics and Embankment, Hohai University, Nanjing, Jiangsu 210098, China;Institute of Geotechnical Research, Hohai University, Nanjing, Jiangsu 210098, China and PowerChina, Zhongnan Engineering Corporation Limited, Changsha, Hunan 410014, China |
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| Abstract: | Based on random weight particle swarm optimization and least square support vector machine, the displacement inverse analysis model of mechanical parameters of underground cavern was established. The learning samples were determined by orthogonal test and 3DEC model. Using this model, the inverse analysis was carried out. The results show that the inverse analysis of mechanical parameters can be realized by using the nonlinear mapping of support vector machine method. The two lateral pressure coefficients are 0.453 and 0.644, and the elastic modulus of three kinds of rock masses are 10.15, 8.20 and 2.62 GPa. The deviation between the displacement obtained from inverse analysis and on-site measurement is small, which verifies the rationality of the inversion parameters. |
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| Keywords: | parameter inversion particle swarm optimization support vector machine block discrete element |
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