Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are n...

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Published inAdvances in structural engineering Vol. 23; no. 13; pp. 2850 - 2865
Main Authors Ghannadi, Parsa, Kourehli, Seyed Sina, Noori, Mohammad, Altabey, Wael A
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.10.2020
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Abstract Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are not very sensitive to damage in large structures. However, objective functions based on both mode shapes and frequencies are very effective. In real measurement condition, the number of installed sensors is limited, and there are no economic reasons for measuring the mode shapes at all degrees of freedom. In this kind of circumstances, mode expansion methods are used to address the incompleteness of mode shapes. In this article, the system equivalent reduction and expansion process is applied to determine the unmeasured mode shapes. Two experimental examples including a cantilever beam and a truss tower are investigated to show system equivalent reduction and expansion process’ efficiency in estimating unmeasured mode shapes. The results show that the technique used for expansion is influential. Damage identification is formulated as an optimization problem, and the residual force vector based on expanded mode shapes is considered as an objective function. In order to minimize the objective function, grey wolf optimization and Harris hawks optimization are used. Numerical studies on a 56-bar dome space truss and experimental validation on a steel frame are performed to demonstrate the efficiency of the developed approach. Both numerical and experimental results indicate that the combination of the grey wolf optimization and expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris hawks optimization.
AbstractList Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are not very sensitive to damage in large structures. However, objective functions based on both mode shapes and frequencies are very effective. In real measurement condition, the number of installed sensors is limited, and there are no economic reasons for measuring the mode shapes at all degrees of freedom. In this kind of circumstances, mode expansion methods are used to address the incompleteness of mode shapes. In this article, the system equivalent reduction and expansion process is applied to determine the unmeasured mode shapes. Two experimental examples including a cantilever beam and a truss tower are investigated to show system equivalent reduction and expansion process’ efficiency in estimating unmeasured mode shapes. The results show that the technique used for expansion is influential. Damage identification is formulated as an optimization problem, and the residual force vector based on expanded mode shapes is considered as an objective function. In order to minimize the objective function, grey wolf optimization and Harris hawks optimization are used. Numerical studies on a 56-bar dome space truss and experimental validation on a steel frame are performed to demonstrate the efficiency of the developed approach. Both numerical and experimental results indicate that the combination of the grey wolf optimization and expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris hawks optimization.
Author Kourehli, Seyed Sina
Noori, Mohammad
Ghannadi, Parsa
Altabey, Wael A
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Cites_doi 10.1016/j.crme.2017.11.008
10.1177/0954406214542966
10.1016/j.engstruct.2016.11.035
10.1080/0305215X.2017.1318872
10.1016/j.oceaneng.2012.05.015
10.1016/j.advengsoft.2013.12.007
10.1007/s40799-018-00300-0
10.1016/j.advengsoft.2007.03.003
10.1177/1475921716639587
10.1007/s00521-017-3272-5
10.1007/s11340-008-9124-6
10.1177/1077546312438428
10.1016/j.jcsr.2017.08.006
10.1016/j.oceaneng.2013.01.030
10.1080/0305215X.2017.1367392
10.1007/s13349-016-0205-4
10.1016/j.jsv.2016.10.043
10.1016/j.jsv.2009.10.027
10.1007/s00366-018-0636-0
10.1080/10589759.2018.1518445
10.4028/www.scientific.net/AMM.110-116.5336
10.1006/jsvi.2002.5116
10.1061/(ASCE)ST.1943-541X.0000105
10.1016/j.compstruct.2017.12.058
10.1080/17415977.2017.1347168
10.1177/1475921718820015
10.1109/ICMT.2011.6002963
10.1007/s12205-016-1078-0
10.1016/j.jsv.2016.06.037
10.3390/app8122564
10.1007/s13296-018-0152-5
10.12989/sss.2012.10.4_5.485
10.1080/17415977.2016.1212026
10.1080/17415977.2016.1169277
10.1155/2010/203891
10.1177/1475921706067738
10.1080/17415977.2018.1503259
10.1080/17415977.2018.1505884
10.1016/j.future.2019.02.028
10.1080/17415977.2018.1430145
10.1016/j.asoc.2018.02.028
10.1016/j.jsv.2019.02.017
10.1016/j.apor.2016.01.010
10.1080/17415977.2016.1160393
10.1016/j.tafmec.2019.102240
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Keywords system equivalent reduction and expansion process
mode shape expansion
vibration-based
space truss
residual force vector
cantilever beam
grey wolf optimization
Harris hawks optimization
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References Faris, Aljarah, Al-Betar 2018; 30
Chen, Tee, Ni 2012; 10
Chen, Logan, Avitabile 2019; 43
Hosseinlou, Mojtahedi 2016; 56
Kourehli 2017; 25
Miguel, de Menezes, Miguel 2006; 25
Khatir, Dekemele, Loccufier 2018; 346
Kaveh, Dadras 2018; 50
Cavalieri, Imbimbo, Betti 2012; 6
Ghiasi, Fathnejat, Torkzadeh 2019; 35
Ghannadi, Kourehli 2019; 70
Hosseinzadeh, Seyed Razzaghi, Ghodrati Amiri 2019; 27
Liu, Li 2012; 51
Mirjalili, Mirjalili, Lewis 2014; 69
Ghiasi, Torkzadeh, Noori 2016; 15
Wei, Liu, Lu 2018; 26
Abdeljaber, Avci, Kiranyaz 2017; 388
Altunışık, Okur, Karaca 2019; 34
Kourehli, Amiri, Ghafory-Ashtiany 2013; 19
Altunışık, Okur, Kahya 2017; 138
Dinh-Cong, Vo-Duy, Nguyen-Thoi 2018; 66
Hosseinzadeh, Amiri, Razzaghi 2016; 381
Ghadimi, Kourehli 2018; 26
Kelesoglu 2007; 38
Ghadimi, Kourehli 2017; 25
Ghannadi, Kourehli 2019; 17
Ghadimi, Kourehli 2017; 21
Hosseini, Khoshnoudian, Esfandiari 2017; 7
Chen 2010; 329
Khatir, Brahim, Capozucca 2018; 187
Cancelli, Laflamme, Alipour 2019; 19
Ghannadi, Kourehli 2018; 5
Weber, Paultre 2009; 136
Abdalla, Al-Khawaldeh 2012; 110–116
Altunışık, Okur, Kahya 2019; 19
Seyedpoor, Ahmadi, Pahnabi 2019; 27
Au, Cheng, Tham 2003; 259
Yin, Jiang, Yuen 2017; 132
Humar, Bagchi, Xu 2006; 5
Khatir, Wahab, Boutchicha 2019; 448
Hosseinzadeh, Ghodrati Amiri, Seyed Razzaghi 2017; 25
Ettefagh, Akbari, Asadi 2015; 229
Zhao, Noori, Altabey 2018; 8
Dinh-Cong, Vinh, Trung 2018; 50
Liu, Li 2013; 63
Fraraccio, Brügger, Betti 2010; 17
Khatir, Wahab 2019; 103
Fraraccio, Brügger, Betti 2008; 48
Heidari, Mirjalili, Faris 2019; 97
bibr3-1369433220921000
bibr33-1369433220921000
bibr41-1369433220921000
bibr17-1369433220921000
bibr32-1369433220921000
bibr34-1369433220921000
bibr2-1369433220921000
bibr51-1369433220921000
bibr15-1369433220921000
Qu Z-Q (bibr48-1369433220921000) 2013
bibr42-1369433220921000
bibr16-1369433220921000
bibr50-1369433220921000
bibr44-1369433220921000
Chen H-P (bibr10-1369433220921000) 2008
bibr5-1369433220921000
bibr36-1369433220921000
bibr49-1369433220921000
bibr26-1369433220921000
Ghannadi P (bibr23-1369433220921000) 2018; 5
bibr39-1369433220921000
bibr13-1369433220921000
Chatzi EN (bibr9-1369433220921000) 2011
O’Callahan J (bibr47-1369433220921000) 1994
bibr18-1369433220921000
bibr31-1369433220921000
bibr46-1369433220921000
bibr38-1369433220921000
bibr54-1369433220921000
bibr12-1369433220921000
bibr55-1369433220921000
bibr21-1369433220921000
bibr7-1369433220921000
bibr28-1369433220921000
bibr11-1369433220921000
bibr29-1369433220921000
bibr37-1369433220921000
bibr20-1369433220921000
Ghannadi P (bibr25-1369433220921000) 2019; 70
bibr14-1369433220921000
bibr19-1369433220921000
bibr6-1369433220921000
bibr27-1369433220921000
bibr30-1369433220921000
bibr1-1369433220921000
bibr43-1369433220921000
Miguel LF (bibr45-1369433220921000) 2006; 25
Ghannadi P (bibr24-1369433220921000) 2019; 17
bibr4-1369433220921000
bibr53-1369433220921000
Wilde K (bibr52-1369433220921000) 2008
bibr40-1369433220921000
Cavalieri F (bibr8-1369433220921000) 2012; 6
bibr22-1369433220921000
bibr35-1369433220921000
References_xml – volume: 10
  start-page: 485
  year: 2012
  end-page: 499
  article-title: Mode shape expansion with consideration of analytical modelling errors and modal measurement uncertainty
  publication-title: Smart Structures and Systems
– volume: 110–116
  start-page: 5336
  year: 2012
  end-page: 5341
  article-title: Optimal damage detection sensor placement using PSO
  publication-title: Applied Mechanics and Materials
– volume: 30
  start-page: 413
  year: 2018
  end-page: 435
  article-title: Grey wolf optimizer: a review of recent variants and applications
  publication-title: Neural Computing and Applications
– volume: 63
  start-page: 26
  year: 2013
  end-page: 34
  article-title: A two-step mode shape expansion method for offshore jacket structures with physical meaningful modelling errors
  publication-title: Ocean Engineering
– volume: 259
  start-page: 1081
  year: 2003
  end-page: 1094
  article-title: Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data
  publication-title: Journal of Sound and Vibration
– volume: 6
  start-page: 280
  year: 2012
  end-page: 299
  article-title: An application of damage detection methods to a real world structure subjected to ground motion excitation
  publication-title: Journal of Civil Engineering and Architecture
– volume: 17
  start-page: 63
  year: 2019
  end-page: 73
  article-title: Model updating and damage detection in multi-story shear frames using Salp Swarm Algorithm
  publication-title: Earthquakes and Structures
– volume: 38
  start-page: 717
  year: 2007
  end-page: 721
  article-title: Fuzzy multiobjective optimization of truss-structures using genetic algorithm
  publication-title: Advances in Engineering Software
– volume: 25
  start-page: 239
  year: 2017
  end-page: 259
  article-title: Model-based identification of damage from sparse sensor measurements using Neumann series expansion
  publication-title: Inverse Problems in Science and Engineering
– volume: 50
  start-page: 1233
  year: 2018
  end-page: 1251
  article-title: Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function
  publication-title: Engineering Optimization
– volume: 26
  start-page: 1728
  year: 2018
  end-page: 1748
  article-title: Multi cracks detection in Euler-Bernoulli beam subjected to a moving mass based on acceleration responses
  publication-title: Inverse Problems in Science and Engineering
– volume: 15
  start-page: 302
  year: 2016
  end-page: 316
  article-title: A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function
  publication-title: Structural Health Monitoring
– volume: 51
  start-page: 119
  year: 2012
  end-page: 128
  article-title: Rapid direct-mode shape expansion for offshore jacket structures using a hybrid vector
  publication-title: Ocean Engineering
– volume: 26
  start-page: 792
  year: 2018
  end-page: 810
  article-title: Structural damage detection using improved particle swarm optimization
  publication-title: Inverse Problems in Science and Engineering
– volume: 388
  start-page: 154
  year: 2017
  end-page: 170
  article-title: Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
  publication-title: Journal of Sound and Vibration
– volume: 97
  start-page: 849
  year: 2019
  end-page: 872
  article-title: Harris hawks optimization: algorithm and applications
  publication-title: Future Generation Computer Systems
– volume: 187
  start-page: 344
  year: 2018
  end-page: 353
  article-title: Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm
  publication-title: Composite Structures
– volume: 19
  start-page: 821
  year: 2013
  end-page: 833
  article-title: Structural damage detection based on incomplete modal data using pattern search algorithm
  publication-title: Journal of Vibration and Control
– volume: 5
  start-page: 417
  year: 2018
  end-page: 428
  article-title: Investigation of the accuracy of different finite element model reduction techniques
  publication-title: Structural Monitoring and Maintenance
– volume: 229
  start-page: 1041
  year: 2015
  end-page: 1059
  article-title: New structural damage-identification method using modal updating and model reduction
  publication-title: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
– volume: 7
  start-page: 15
  year: 2017
  end-page: 27
  article-title: Improved data expansion method used in damage detection method
  publication-title: Journal of Civil Structural Health Monitoring
– volume: 27
  start-page: 669
  year: 2019
  end-page: 688
  article-title: Structural damage detection using time domain responses and an optimization method
  publication-title: Inverse Problems in Science and Engineering
– volume: 43
  start-page: 521
  year: 2019
  end-page: 543
  article-title: Non-model based expansion from limited points to an augmented set of points using Chebyshev polynomials
  publication-title: Experimental Techniques
– volume: 56
  start-page: 107
  year: 2016
  end-page: 118
  article-title: Developing a robust simplified method for structural integrity monitoring of offshore jacket-type platform using recorded dynamic responses
  publication-title: Applied Ocean Research
– volume: 25
  start-page: 1593
  year: 2006
  end-page: 1602
  article-title: Mode shape expansion from data-based system identification procedures
  publication-title: Mecanica Computacional
– volume: 66
  start-page: 264
  year: 2018
  end-page: 277
  article-title: Damage assessment in truss structures with limited sensors using a two-stage method and model reduction
  publication-title: Applied Soft Computing
– volume: 138
  start-page: 499
  year: 2017
  end-page: 512
  article-title: Automated model updating of multiple cracked cantilever beams for damage detection
  publication-title: Journal of Constructional Steel Research
– volume: 136
  start-page: 307
  year: 2009
  end-page: 316
  article-title: Damage identification in a truss tower by regularized model updating
  publication-title: Journal of Structural Engineering
– volume: 69
  start-page: 46
  year: 2014
  end-page: 61
  article-title: Grey wolf optimizer
  publication-title: Advances in Engineering Software
– volume: 27
  start-page: 1145
  year: 2019
  end-page: 1169
  article-title: An iterated IRS technique for cross-sectional damage modelling and identification in beams using limited sensors measurement
  publication-title: Inverse Problems in Science and Engineering
– volume: 50
  start-page: 430
  year: 2018
  end-page: 451
  article-title: Structural damage identification using an enhanced thermal exchange optimization algorithm
  publication-title: Engineering Optimization
– volume: 448
  start-page: 230
  year: 2019
  end-page: 246
  article-title: Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis
  publication-title: Journal of Sound and Vibration
– volume: 132
  start-page: 260
  year: 2017
  end-page: 277
  article-title: Vibration-based damage detection for structural connections using incomplete modal data by Bayesian approach and model reduction technique
  publication-title: Engineering Structures
– volume: 17
  start-page: 697
  year: 2010
  end-page: 721
  article-title: Experimental studies on damage detection in frame structures using vibration measurements
  publication-title: Shock and Vibration
– volume: 19
  start-page: 635
  year: 2019
  end-page: 649
  article-title: Vibrations of a box-sectional cantilever Timoshenko beam with multiple cracks
  publication-title: International Journal of Steel Structures
– volume: 329
  start-page: 1177
  year: 2010
  end-page: 1190
  article-title: Mode shape expansion using perturbed force approach
  publication-title: Journal of Sound and Vibration
– volume: 35
  start-page: 857
  issue: 3
  year: 2019
  end-page: 874
  article-title: A three-stage damage detection method for large-scale space structures using forward substructuring approach and enhanced bat optimization algorithm
  publication-title: Engineering with Computers
– volume: 381
  start-page: 65
  year: 2016
  end-page: 82
  article-title: Structural damage detection using sparse sensors installation by optimization procedure based on the modal flexibility matrix
  publication-title: Journal of Sound and Vibration
– volume: 25
  start-page: 418
  year: 2017
  end-page: 433
  article-title: Structural damage diagnosis using incomplete static responses and LS-SVM
  publication-title: Inverse Problems in Science and Engineering
– volume: 70
  start-page: 649
  year: 2019
  end-page: 659
  article-title: Structural damage detection based on MAC flexibility and frequency using moth-flame algorithm
  publication-title: Structural Engineering and Mechanics
– volume: 5
  start-page: 215
  year: 2006
  end-page: 241
  article-title: Performance of vibration-based techniques for the identification of structural damage
  publication-title: Structural Health Monitoring
– volume: 19
  start-page: 587
  year: 2019
  end-page: 605
  article-title: Vibration-based damage localization and quantification in a pretensioned concrete girder using stochastic subspace identification and particle swarm model updating
  publication-title: Structural Health Monitoring
– volume: 48
  start-page: 521
  year: 2008
  end-page: 528
  article-title: Identification and damage detection in structures subjected to base excitation
  publication-title: Experimental Mechanics
– volume: 103
  start-page: 102240
  year: 2019
  article-title: A computational approach for crack identification in plate structures using XFEM, XIGA, PSO and Jaya algorithm
  publication-title: Theoretical and Applied Fracture Mechanics
– volume: 34
  start-page: 33
  year: 2019
  end-page: 53
  article-title: Vibration-based damage detection in beam structures with multiple cracks: modal curvature vs. modal flexibility methods
  publication-title: Nondestructive Testing and Evaluation
– volume: 8
  start-page: 2564
  issue: 12
  year: 2018
  article-title: Deep learning-based damage, load and support identification for a composite pipeline by extracting modal macro strains from dynamic excitations
  publication-title: Applied Sciences
– volume: 25
  start-page: 995
  year: 2017
  end-page: 1013
  article-title: Crack detection of structures using modified extreme learning machine (MELM)
  publication-title: Inverse Problems in Science and Engineering
– volume: 21
  start-page: 389
  year: 2017
  end-page: 396
  article-title: Multiple crack identification in Euler beams using extreme learning machine
  publication-title: KSCE Journal of Civil Engineering
– volume: 346
  start-page: 110
  year: 2018
  end-page: 120
  article-title: Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization
  publication-title: Comptes Rendus Mécanique
– ident: bibr39-1369433220921000
  doi: 10.1016/j.crme.2017.11.008
– ident: bibr16-1369433220921000
  doi: 10.1177/0954406214542966
– ident: bibr53-1369433220921000
  doi: 10.1016/j.engstruct.2016.11.035
– ident: bibr35-1369433220921000
  doi: 10.1080/0305215X.2017.1318872
– ident: bibr43-1369433220921000
  doi: 10.1016/j.oceaneng.2012.05.015
– volume: 6
  start-page: 280
  year: 2012
  ident: bibr8-1369433220921000
  publication-title: Journal of Civil Engineering and Architecture
– ident: bibr46-1369433220921000
  doi: 10.1016/j.advengsoft.2013.12.007
– ident: bibr13-1369433220921000
  doi: 10.1007/s40799-018-00300-0
– ident: bibr36-1369433220921000
  doi: 10.1016/j.advengsoft.2007.03.003
– ident: bibr27-1369433220921000
  doi: 10.1177/1475921716639587
– ident: bibr17-1369433220921000
  doi: 10.1007/s00521-017-3272-5
– ident: bibr18-1369433220921000
  doi: 10.1007/s11340-008-9124-6
– ident: bibr42-1369433220921000
  doi: 10.1177/1077546312438428
– ident: bibr3-1369433220921000
  doi: 10.1016/j.jcsr.2017.08.006
– volume: 70
  start-page: 649
  year: 2019
  ident: bibr25-1369433220921000
  publication-title: Structural Engineering and Mechanics
– ident: bibr44-1369433220921000
  doi: 10.1016/j.oceaneng.2013.01.030
– ident: bibr14-1369433220921000
  doi: 10.1080/0305215X.2017.1367392
– ident: bibr29-1369433220921000
  doi: 10.1007/s13349-016-0205-4
– ident: bibr2-1369433220921000
  doi: 10.1016/j.jsv.2016.10.043
– volume: 25
  start-page: 1593
  year: 2006
  ident: bibr45-1369433220921000
  publication-title: Mecanica Computacional
– ident: bibr11-1369433220921000
  doi: 10.1016/j.jsv.2009.10.027
– ident: bibr26-1369433220921000
  doi: 10.1007/s00366-018-0636-0
– volume-title: Model Order Reduction Techniques with Applications in Finite Element Analysis
  year: 2013
  ident: bibr48-1369433220921000
– ident: bibr5-1369433220921000
  doi: 10.1080/10589759.2018.1518445
– ident: bibr1-1369433220921000
  doi: 10.4028/www.scientific.net/AMM.110-116.5336
– ident: bibr6-1369433220921000
  doi: 10.1006/jsvi.2002.5116
– ident: bibr50-1369433220921000
  doi: 10.1061/(ASCE)ST.1943-541X.0000105
– ident: bibr38-1369433220921000
  doi: 10.1016/j.compstruct.2017.12.058
– ident: bibr51-1369433220921000
  doi: 10.1080/17415977.2017.1347168
– ident: bibr7-1369433220921000
  doi: 10.1177/1475921718820015
– ident: bibr54-1369433220921000
  doi: 10.1109/ICMT.2011.6002963
– ident: bibr21-1369433220921000
  doi: 10.1007/s12205-016-1078-0
– ident: bibr31-1369433220921000
  doi: 10.1016/j.jsv.2016.06.037
– ident: bibr55-1369433220921000
  doi: 10.3390/app8122564
– volume-title: Modal Diagnostics of Civil Engineering Structures
  year: 2008
  ident: bibr52-1369433220921000
– ident: bibr4-1369433220921000
  doi: 10.1007/s13296-018-0152-5
– ident: bibr12-1369433220921000
  doi: 10.12989/sss.2012.10.4_5.485
– ident: bibr20-1369433220921000
  doi: 10.1080/17415977.2016.1212026
– ident: bibr41-1369433220921000
  doi: 10.1080/17415977.2016.1169277
– ident: bibr19-1369433220921000
  doi: 10.1155/2010/203891
– start-page: 2507
  volume-title: Proceedings of the 8th international conference on structural dynamics, EURODYN 2011
  year: 2011
  ident: bibr9-1369433220921000
– volume-title: Proceedings of the 12th international modal analysis
  year: 1994
  ident: bibr47-1369433220921000
– ident: bibr34-1369433220921000
  doi: 10.1177/1475921706067738
– ident: bibr33-1369433220921000
  doi: 10.1080/17415977.2018.1503259
– ident: bibr49-1369433220921000
  doi: 10.1080/17415977.2018.1505884
– volume: 5
  start-page: 417
  year: 2018
  ident: bibr23-1369433220921000
  publication-title: Structural Monitoring and Maintenance
– ident: bibr28-1369433220921000
  doi: 10.1016/j.future.2019.02.028
– ident: bibr22-1369433220921000
  doi: 10.1080/17415977.2018.1430145
– ident: bibr15-1369433220921000
  doi: 10.1016/j.asoc.2018.02.028
– ident: bibr40-1369433220921000
  doi: 10.1016/j.jsv.2019.02.017
– volume: 17
  start-page: 63
  year: 2019
  ident: bibr24-1369433220921000
  publication-title: Earthquakes and Structures
– volume-title: Proceedings of 16th UK conference on computational mechanics (ACME-UK)
  year: 2008
  ident: bibr10-1369433220921000
– ident: bibr30-1369433220921000
  doi: 10.1016/j.apor.2016.01.010
– ident: bibr32-1369433220921000
  doi: 10.1080/17415977.2016.1160393
– ident: bibr37-1369433220921000
  doi: 10.1016/j.tafmec.2019.102240
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Snippet Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic...
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Title Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes
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