Inversion of rock mass mechanical parameter in underground powerhouse of Baishan pumped storage station

TIAN Ze-run; LI Shou-ju; YU Shen

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Inversion of rock mass mechanical parameter in underground powerhouse of Baishan pumped storage station

更新时间：2026-06-25

- Inversion of rock mass mechanical parameter in underground powerhouse of Baishan pumped storage station
- Vol. 35, Issue S2, (2014)
- 作者机构：
  
  大连理工大学工业装备结构分析国家重点实验室,辽宁,大连,116204
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU452
- Online First：12 November 2014，
  
  Published：2014
- 稿件说明：
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TIAN Ze-run, LI Shou-ju, YU Shen. Inversion of rock mass mechanical parameter in underground powerhouse of Baishan pumped storage station[J]. 2014, 35(S2).
DOI：

TIAN Ze-run, LI Shou-ju, YU Shen. Inversion of rock mass mechanical parameter in underground powerhouse of Baishan pumped storage station[J]. 2014, 35(S2). DOI：

摘要

根据白山抽水蓄能泵站地下厂房开挖过程中的变形观测数据，提出了一种基于响应面法的岩体力学参数反演方法。该方法利用响应面函数建立了岩体力学参数与围岩变形之间的非线性关系。通过有限元数值模拟确立了响应面函数中的系数。定义参数反演的目标函数，将参数反演问题转化为优化问题。分别采用拟牛顿优化算法和遗传算法求解参数反演的目标函数，得到了地下厂房的岩体力学参数。根据反演确定的岩体力学参数，对地下厂房围岩的开挖变形进行了数值模拟，研究表明，有限元模拟的地下厂房与现场观测值基本一致，验证了反演方法的有效性。

Abstract

According to observed deformation data in underground powerhouse excavation of Baishan pumped storage station

a parameter inversion method based on the response surface methodology is put forward. Using the response surface methodology

the nonlinear relationship between unknown rock mass mechanical parameter and surrounding rock deformation is proposed. Applying the finite element method

coefficients of response surface function are identified. Defining the objective function of parameter inversion

the problem of parameter inversion is changed into optimization. Quasi-Newton optimization algorithm and genetic algorithm are adopted to solve the objective function and get rock mechanical parameters. Based on rock mechanical parameters which are identified by parameter inversion

excavation deformation of surrounding rock is simulated. The study indicates that deformation of surrounding rock simulated by finite element method give a good agreement with in-situ observed data in underground powerhouse.

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