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水力发电学报 ›› 2025, Vol. 44 ›› Issue (6): 143-154.doi: 10.11660/slfdxb.20250614

• • 上一篇    

通过PSO-XGB方法对调压室隧洞围岩参数反演

  

  • 出版日期:2025-06-25 发布日期:2025-06-25

Parameter inversion for surrounding rock of surge chamber tunnel based on PSO-XGB

  • Online:2025-06-25 Published:2025-06-25

摘要: 在岩石工程领域,力学参数的精确反演始终是一个核心难题,其精确程度对确保工程设计与施工的安全可靠性起着至关重要的作用。传统的岩土物理力学测量方式常常会因为岩土的干扰、设备和工作人员的操作而产生偏差,因此得出的结果通常是不连续的。针对这类问题,本文采用PSO-XGB方法对调压室隧洞围岩弹性模量、内摩擦角以及黏聚力等参数进行反演分析,借助于生物启发式算法——粒子群优化(PSO)对极端梯度提升(XGBoost)模型进行调优,并进行多模型对比。结果显示,本文所采用的PSO-XGB算法展现出更高的效率和精确度。该算法计算所得的位移值与实际监测的位移值之间的偏差小于5%,与实测数据高度一致。本文采用的PSO-XGB围岩力学参数反演方法具有合理性和可行性,为今后确定和校核所需的岩石力学参数并进行设计和施工提供了模型支持。

关键词: PSO-XGB, 调压室隧洞, 参数反演, 数值模拟, 模型对比

Abstract: In rock engineering, the inversion of mechanical parameters has always been a key issue, and its accuracy is an essential factor in the design reliability and construction safety of a project. Traditional geomechanics physico-mechanical measurements are often biased by geomechanics interference, equipment and staff operation, so the results obtained are usually discontinuous. Aimed at such issues, this paper adopts a new method or PSO-XGB to invert and examine rock parameters-elastic modulus, internal friction angle, and cohesion of the surrounding rock of the regulating chamber tunnel. We tune the Extreme Gradient Boosting (XGBoost) model with the help of a bio-heuristic algorithm or Particle Swarm Optimization (PSO), and make a multi-model comparison. The findings indicate the PSO-XGB method is superior in efficiency and accuracy. The difference between the calculated and in-situ observed rock displacements is less than 5%, indicating a good agreement. This parameter inversion method is verified to be practically applicable and accurate, thus it is a new useful tool to determine and calibrate the rock mechanical parameters required for future design and construction.

Key words: PSO-XGB, surge chamber tunnel, parameter inversion, numerical simulation, model comparison

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