A new back-analysis method based on ν-SVR and improved PSO algorithm and its application

XING Wan-bo; ZHOU Zhong; TANG Zhong-min; SUN Gang

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A new back-analysis method based on ν-SVR and improved PSO algorithm and its application

更新时间：2026-06-25

- A new back-analysis method based on ν-SVR and improved PSO algorithm and its application
- Vol. 30, Issue S2, (2009)
- 作者机构：
  
  1. 中国水电顾问集团成都勘测设计研究院,成都,610072
  2. 四川省水利水电勘测设计研究院,成都,610072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU443
- Online First：21 June 2011，
  
  Published：2009
- 稿件说明：
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XING Wan-bo, ZHOU Zhong, TANG Zhong-min, et al. A new back-analysis method based on ν-SVR and improved PSO algorithm and its application[J]. 2009, 30(S2).
DOI：

XING Wan-bo, ZHOU Zhong, TANG Zhong-min, et al. A new back-analysis method based on ν-SVR and improved PSO algorithm and its application[J]. 2009, 30(S2). DOI：

摘要

岩土工程反分析面临着多元化、复杂化和精确化的挑战，反分析方法要求能在少而精的正分析基础上结合监测数据快速反馈出数值计算参数。充分发挥支持向量回归机ν-SVR和改进的变邻域PSO算法的优势，建立起岩土工程反分析的流程和方法。同时，将其应用于锦屏左岸边坡的反分析问题，选择稳定问题非常突出的II1-II1剖面作为分析对象，根据监测资料反馈设计关键岩体的力学参数，并与监测数据比对，反演成果合理准确，进一步验证了该方法的的正确性和有效性

Abstract

Challenged by diversity

complexity and precision in geotechnical engineering practices

back-analysis methods are required to quickly obtain feedback parameters for numerical simulations on the basis of monitoring data with fewer but more elaborate forward numerical simulations. Thanks to the specialties of support vector regression machine(ν-SVR) and improved partical swarm optimization (PSO) algorithm with variable neighborhood

a method and process for geotechnical back-analysis is set up. And to prove the correctness and validity of the proposed method

a case study of back-analysis of the left slope of Jinping-Ⅰ hydropower station is carried out. According to the monitoring data of troublesome profile II1-II1 in project site

critical deformation parameters for forward numerical simulations are fed back with the proposed method

and the results of further simulation with the feedback parameters match the monitoring data fairly well.

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