Bridge finite element model updating based on improved steady state genetic algorithm

QIN Shiqiang; ZHANG Yazhou; KAGN Juntao

doi:10.13471/j.cnki.acta.snus.2019.06.20.2019B062

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Bridge finite element model updating based on improved steady state genetic algorithm

Research articles | 更新时间：2023-11-01

- Bridge finite element model updating based on improved steady state genetic algorithm
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 59, Issue 4, Pages: 79-88(2020)
- 作者机构：
  
  武汉理工大学土木工程与建筑学院，湖北武汉 430070
- 作者简介：
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.2019.06.20.2019B062
  CLC： U448.22
- Published：20 July 2020，
  
  Received：20 June 2019，
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秦世强,张亚州,康俊涛.基于改进稳态遗传算法的桥梁有限元模型修正[J].中山大学学报(自然科学版),2020,59(04):79-88.

QIN Shiqiang,ZHANG Yazhou,KAGN Juntao.Bridge finite element model updating based on improved steady state genetic algorithm[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(04):79-88.
秦世强,张亚州,康俊涛.基于改进稳态遗传算法的桥梁有限元模型修正[J].中山大学学报(自然科学版),2020,59(04):79-88. DOI： 10.13471/j.cnki.acta.snus.2019.06.20.2019B062.

QIN Shiqiang,ZHANG Yazhou,KAGN Juntao.Bridge finite element model updating based on improved steady state genetic algorithm[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(04):79-88. DOI： 10.13471/j.cnki.acta.snus.2019.06.20.2019B062.

摘要

由于测试误差和结构参数的不确定性，有限元模型修正的局部最优解和全局最优解均有可能是真实解。为了同时获取模型修正的局部最优解和全局最优解，文章提出一种改进的稳态遗传算法（ISSGA）。该算法通过一种双角度算子来判定目标函数的可行解，并通过定义可行解的伴侣解不断优化解的位置，实现目标函数局部最优和全局最优解的寻找。通过两个测试函数和一座混凝土箱梁桥模型修正案例，验证了ISSGA算法的精度、稳定性和计算效率，并明确了算法中各个参数的取值依据。结果表明：ISSGA可同时获得目标函数的局部和全局最优解；双角度算子可有效避免局部最优解的遗漏；ISSGA算法为获得模型修正合理解提供了可能。

Abstract

Due to the test errors and the uncertainties of structural parameters

the best local and global solutions are all possible to be the true solution of finite element model updating. To simultaneously obtain the local and global best solutions in model updating

an improved steady state genetic algorithm (ISSGA) is proposed. The proposed ISSGA utilizes a double angle operator to select alternative solutions of the objective function. The solutions are iteratively optimized by defining the solutions pairs

and the global and local best solutions are eventually obtained. Two benchmark functions and model updating of a concrete box girder bridge are employed to validate ISSGA regarding the accuracy

stability and calculation efficiency. In addition

the principle to determine the algorithm parameters is clarified. The results show that the ISSGA can obtain the global and the best local of the objective function at same time. The double angle operator can avoid the omission of the best local. ISSGA provides a possibility to obtain the solution of model updating wi the best justification.

关键词

桥梁工程模型修正稳态遗传算法优化问题多解问题

Keywords

bridge engineeringmodel updatingsteady state genetic algorithmoptimizationmultiple solutions problem

references

战家旺, 王冬冬, 高胜星, 等. 一种基于冲击响应的装配式板梁桥铰接缝病害动力评估方法[J]. 土木工程学报, 2018, 51(6): 103-110.

ZHAN J W, WANG D D, GAO S X, et al. A dynamic damage evaluation method for hinged joints in fabricated slab-girder bridges [J]. China Civil Engineering Journal, 2018, 51(6): 103-110.

李晰, 张德义, 闫维明, 等. 基于环境激励的钢管混凝土拱桥工作模态识别及修正[J]. 工程力学, 2013, 30(9): 81-88.

LI X, ZHANG D Y, YAN W M, et al. Work mode recognition and correction of steel tube concrete arch bridge based on environmental incentives [J]. Engineering Mechanics, 2013, 30(9): 81-88.

万华平, 任伟新, 黄天立. 基于贝叶斯推理的随机模型修正方法[J]. 中国公路学报, 2016, 29(4): 67-76.

WAN H P, REN W X, HUANG T L. Stochastic model updating approach by using bayesian inference [J]. China Journal of Highway and Transport, 2016, 29(4): 67-76.

康俊涛，张学强，张亚州，等. 基于小生境鱼群算法的有限元模型修正多解问题研究[J]. 中山大学学报（自然科学版）， 2020, 59(2): 60- 68.

KANG J T, ZHANG X Q, ZHANG Y Z, et al. Research on finite element model updating multi-alternatives problem based on niche fish swarm algorithm [J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2020, 59(2): 60-68.

战家旺, 闫宇智, 强伟亮, 等. 一种基于频响函数相似性的铁路桥墩损伤识别方法[J]. 中国铁道科学, 2018, 39(2): 37-43.

ZHAN J W, YAN Y Z, QIANG W L, et al. Damage identification method for railway pier based on frequency response function similarity [J]. China Railway Science, 2018, 39(2): 37-43.

SHAN D S, LI Q, KHAN I, et al. A novel finite element model updating method based on substructure and response surface model[J]. Engineering Structures, 2015, 103: 147-156.

ZÁRATE B A, CAICEDO J M. Finite element model updating: multiple alternatives[J]. Engineering Structures, 2008, 30(12): 3724-3730.

CAICEDO J M , YUN G. A novel evolutionary algorithm for identifying multiple alternative solutions in model updating[J]. Structural Health Monitoring, 2010, 10(5): 491-501.

ŽIVANOVIĆ S, PAVIC A, REYNOLDS P. Finite element modelling and updating of a lively footbridge: the complete process[J]. Journal of Sound and Vibration, 2007, 301(1): 126-145.

BROWNJOHN J M W, XIA P I, HAO H, et al. Civil structure condition assessment by FE model updating: methodology and case studies[J]. Finite Elements in Analysis and Design, 2001, 37(10): 761-775.

TEUGHELS A, ROECK G D, SUYKENS J A K. Global optimization by coupled local minimizers and its application to Fe model updating[J]. Computers and Structures, 2003, 81(24): 2337-2351.

SHABBIR F, OMENZETTER P. Model updating using genetic algorithms with sequential niche technique[J]. Engineering Structures, 2016, 120: 166-182.

SHABBIR F, OMENZETTER P. Particle swarm optimization with sequential niche technique for dynamic finite element model updating[J]. Computer-Aided Civil and Infrastructure Engineering, 2015, 30(5): 359-375.

梁鹏, 李斌, 王秀兰, 等. 基于桥梁健康监测的有限元模型修正研究现状与发展趋势[J]. 长安大学学报(自然科学版), 2014, 34(4): 52- 61.

LIANG P, LI B, WANG X L, et al. Present research status and development trend of finite element model updating based bridge health monitoring[J]. Journal of Chang’an University (Natural Science Edition), 2014, 34(4): 52-61.

POHLHEIM D I H. Genetic and evolutionary algorithm toolbox for matlab[M].Berlin Heidelberg:Evolutionäre Algorithmen， Springer , 2000: 157-170.

CHEN Z J, CAO H Y, YE K, et al. Improved particle swarm optimization-based form-finding method for suspension bridge installation analysis[J]. Journal of Computing in Civil Engineering, 2015, 29(3): 4014047.

谢伟平, 曹晓宇, 肖伯强, 等. 基于模态测试的宽幅钢箱梁桥有限元模型建立、修正与分析[J]. 振动与冲击, 2018, 37(1): 98-105.

XIE W P, CAO X Y, XIAO B Q, et al. Finite element modelling, modification and analysis for wide steel box-girder bridges based on modal tests [J]. Journal of Vibration and Shock, 2018, 37(1): 98-105.

梁岗, 袁武水, 王瑞丽, 等. 基于贝叶斯信息融合的岸桥有限元模型修正研究[J]. 力学季刊, 2018, 39(2): 413-423.

LIANG G, YUAN W S, WANG R L, et al. Finite element model updating of quaside container crane based on bayesian and information fusion theory [J]. Chinese Quarterly of Mechanics, 2018, 39(2): 413-423.

宗周红, 夏樟华. 联合模态柔度和静力位移的桥梁有限元模型修正方法[J]. 中国公路学报, 2008, 21(6): 43-49.

ZONG Z H, XIA Z H. Finite element model updating method of bridge combined modal flexibility and static displacement [J]. Chinese Journal of Highway and Transport, 2008, 21(6): 43-49.

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Related Institution

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