Structural Model Updating Based on Modal Parameters and Modified Firefly Algorithm

被引：0

作者：

Fegn Z. ^{[1
,2
]}

Wang W. ^{[1
,2
]}

Hua X. ^{[1
,2
]}

Chen Z. ^{[1
,2
]}

机构：

[1] College of Civil Engineering, Hunan University, Changsha

[2] Key Laboratory for Wind and Bridge Engineering of Hunan Province, Hunan University, Changsha

来源：

Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2022年 / 49卷 / 11期

基金：

中国国家自然科学基金;

关键词：

damage detection; firefly algorithm; modal parameter; model updating; structural health monitoring;

D O I：

10.16339/j.cnki.hdxbzkb.2022136

中图分类号：

学科分类号：

摘要：

In order to improve the accuracy and effectiveness of structural model updating, a finite element model updating method based on modal parameters and a modified firefly algorithm is proposed, in which an objec⁃ tive function based on modal parameters is formulated and solved by the modified firefly algorithm. The modified fire⁃ fly algorithm is compared to be accurate and superior to the original firefly algorithm, genetic algorithm, and particle swarm optimization in solving a numerical simulation example of a truss model. And it shows that the optimal solution obtained by the modified firefly algorithm is closer to the actual value, and the scatteredness is low, which proves the accuracy and effectiveness of the modified algorithm. Finally, the accuracy and effectiveness of this method in struc⁃ tural finite element model updating are verified by a damage identification test of a 6-DOF shear frame experimental model. © 2022 Hunan University. All rights reserved.

引用

页码：252 / 259

页数：7

共 29 条

[1]

Dealing with uncer⁃ tainty in model updating for damage assessment：a review［J］．Me⁃ chanical Systems and Signal Processing, 56, 57, pp. 123-149, (2015)

[2]

CHEN Z Q, ZHANG J F，, NIU H W, Optimization and devia⁃ tion analysis of structural shock absorption parameters based on MTVMD［J］, Journal of Hunan University（Natural Sciences）, 47, 9, pp. 1-9, (2020)

[3]

SALIM M S, AHMED A I．, A family of quasi-newton methods for unconstrained optimization problems［J］, Optimization, 67, 10, pp. 1717-1727, (2018)

[4]

WANG J, WANG Y, A novel meta-heuristic al⁃ gorithm for construction site facilities layout optimization［J］, Journal of Hunan University（Natural Sciences）, 47, 9, pp. 128-136, (2020)

[5]

FENG Z Q, YE Z T, WANG W Z, Structural model identifi⁃ cation using a modified electromagnetism-like mechanism algo⁃ rithm［J］, Sensors, 20, 17, (2020)

[6]

YANG X S，, HE X S．, Why the firefly algorithm works？［M］// Nature-inspired algorithms and applied optimization, pp. 245-259, (2017)

[7]

YU S H, Self-adaptive step firefly algorithm, Journal of Applied Mathematics, 2013, (2013)

[8]

Modified firefly algorithm using quaternion representation［J］．Expert Systems With Appli⁃ cations, 40, 18, pp. 7220-7230, (2013)

[9]

KAVOUSI-FARD A, MARZBANI F., A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting［J］, Expert Systems With Ap⁃ plications, 41, 13, pp. 6047-6056, (2014)

[10]

ZHANG L N, LIU L Q，, YANG X S，, Et al., A novel hybrid firefly al⁃ gorithm for global optimization［J］, PLoS One, 11, 9, (2016)

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