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基于改进蜣螂优化算法的本构模型多参数标定方法及应用

卢玭 于洋 刘松林 王天龙 徐子涵

防灾减灾工程学报2025,Vol.45Issue(5):1014-1023,10.
防灾减灾工程学报2025,Vol.45Issue(5):1014-1023,10.DOI:10.13409/j.cnki.jdpme.20250224001

基于改进蜣螂优化算法的本构模型多参数标定方法及应用

Multi-parameter Calibration Method and Application of Constitutive Model Based on Improved Dung Beetle Optimization Algorithm

卢玭 1于洋 2刘松林 1王天龙 3徐子涵1

作者信息

  • 1. 浙江大学海洋学院,浙江 舟山 316000
  • 2. 浙江大学海洋学院,浙江 舟山 316000||浙江大学海南研究院,海南 三亚 572025
  • 3. 浙江大学海洋学院,浙江 舟山 316000||南洋理工大学土木与环境工程学院,新加坡 618798
  • 折叠

摘要

Abstract

The calibration of multi-parameter constitutive models is both the key and the challenge for accurately characterizing the complex stress-strain relationships of geotechnical materials.To address the issues of numerous parameters and difficult calibration in complex constitutive models,this study improved the dung beetle optimization algorithm by integrating dynamic range adjustment mecha-nisms,T-distribution variation strategies,Levy flight global search,and multi-strategy population up-date mechanisms.By optimizing typical benchmark functions and comparing the optimization results with those of the dung beetle optimization(DBO),gray wolf optimization(GWO),sparrow search al-gorithm(SSA),whale optimization algorithm(WOA),and northern goshawk optimization(NGO),the improved dung beetle optimization algorithm was verified to achieve significant improvements in both global optimization capability and parameter calibration efficiency.Based on a three-dimensional multi-mechanism bounding surface model,a bidirectional data interaction mechanism program be-tween the optimization algorithm and the constitutive model was established.Parameter calibration was performed using triaxial test data of sandy soil.The comparison of the parameter calibration re-sults between the improved dung beetle algorithm and the traditional dung beetle algorithm demon-strated that the optimal fitness value of the improved algorithm was significantly reduced,and the aver-age invalid operation rate decreased from 8.75%to 4.17%,effectively overcoming premature conver-gence.The stress-strain curve obtained after parameter calibration showed good agreement with the experimental data in key aspects such as peak deviatoric stress,residual stress,and overall trends,providing methodological support for the multi-parameter calibration of complex constitutive models.

关键词

本构模型/参数标定/优化算法/间断级配砂土

Key words

constitutive model/parameter calibration/optimization algorithm/gap-graded sandy soil

分类

建筑与水利

引用本文复制引用

卢玭,于洋,刘松林,王天龙,徐子涵..基于改进蜣螂优化算法的本构模型多参数标定方法及应用[J].防灾减灾工程学报,2025,45(5):1014-1023,10.

基金项目

国家自然科学基金项目(42277129)、浙江省杰出青年科学基金项目(LR24E080004)、中央高校基本科研业务费专项资金(226-2024-00197)资助 (42277129)

防灾减灾工程学报

OA北大核心

1672-2132

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