Damage identification of thin plates using multi-stage PSOGSA and incomplete modal data

References

• Friswell MI. Damage identification using inverse methods. Philos Trans R Soc A Math Phys Eng Sci. 2007;365:393–410.
   PubMed Web of Science ®Google Scholar
• Liu H, Li Z. An improved generalized flexibility matrix approach for structural damage detection. Inverse Probl Sci Eng. 2020;28:877–893.
   Web of Science ®Google Scholar
• Dahak M, Touat N, Kharoubi M. Damage detection in beam through change in measured frequency and undamaged curvature mode shape. Inverse Probl Sci Eng. 2019;27:89–114.
   Web of Science ®Google Scholar
• Pedram M, Esfandiari A, Khedmati MR. Frequency domain damage detection of plate and shell structures by finite element model updating. Inverse Probl Sci Eng. 2018;26:100–132.
   Web of Science ®Google Scholar
• Perera R, Torres R. Structural damage detection via modal data with genetic algorithms. J Struct Eng. 2006;132:1491–1501.
   Web of Science ®Google Scholar
• Alexandrino PdS, Gomes GF, Cunha SS. A robust optimization for damage detection using multiobjective genetic algorithm, neural network and fuzzy decision making. Inverse Probl Sci Eng. 2020;28:21–46.
   Web of Science ®Google Scholar
• Mohan SC, Maiti DK, Maity D. Structural damage assessment using FRF employing particle swarm optimization. Appl Math Comput. 2013;219:10387–10400.
   Web of Science ®Google Scholar
• Wei Z, Liu J, Lu Z. Structural damage detection using improved particle swarm optimization. Inverse Probl Sci Eng. 2018;26:792–810.
   Web of Science ®Google Scholar
• Majumdar A, Maiti DK, Maity D. Damage assessment of truss structures from changes in natural frequencies using ant colony optimization. Appl Math Comput. 2012;218:9759–9772.
   Web of Science ®Google Scholar
• Miguel LFF, Miguel LFF, João K, et al. Damage detection under ambient vibration by harmony search algorithm. Expert Syst Appl. 2012;39:9704–9714.
   Web of Science ®Google Scholar
• Krishnanunni CG, Raj RS, Nandan D, et al. Sensitivity-based damage detection algorithm for structures using vibration data. J Civ Struct Heal Monit. 2019;9:137–151.
   Web of Science ®Google Scholar
• Kaveh A, Maniat M. Damage detection based on MCSS and PSO using modal data. Smart Struct Syst. 2015;15:1253–1270.
   Web of Science ®Google Scholar
• Kaveh A, Zolghadr A. An improved CSS for damage detection of truss structures using changes in natural frequencies and mode shapes. Adv Eng Softw. 2015;80:93–100.
   Web of Science ®Google Scholar
• Ding ZH, Huang M, Lu ZR. Structural damage detection using artificial bee colony algorithm with hybrid search strategy. Swarm Evol Comput. 2016;28: 1–13.
   Web of Science ®Google Scholar
• Ding Z, Yao R, Li J, et al. Structural damage identification based on modified artificial bee colony algorithm using modal data. Inverse Probl Sci Eng. 2018;26:422–442.
   Web of Science ®Google Scholar
• Liu JK, Wei ZT, Lu ZR, et al. Structural damage identification using gravitational search algorithm. Struct Eng Mech. 2016;60:729–747.
   Web of Science ®Google Scholar
• Nobahari M, Ghasemi MR, Shabakhty N. A novel heuristic search algorithm for optimization with application to structural damage identification. Smart Struct Syst. 2017;19:449–461.
   Web of Science ®Google Scholar
• Kaveh A, Zolghadr A. Cyclical parthenogenesis algorithm for guided modal strain energy based structural damage detection. Appl Soft Comput J. 2017;57:250–264.
   Web of Science ®Google Scholar
• Huang JL, Lu ZR. BB-BC optimization algorithm for structural damage detection using measured acceleration responses. Struct Eng Mech. 2017;3:353–360.
   Google Scholar
• Kaveh A, Zolghadr A. Guided modal strain energy-based approach for structural damage identification using tug-of-war optimization algorithm. J Comput Civ Eng. 2017;31:1–12.
   Web of Science ®Google Scholar
• Fallahian S, Joghataie A, Kazemi MT. Structural damage detection using time domain responses and teaching-learning-based optimization (TLBO) algorithm. Sci Iran. 2018;25:3088–3100.
   Web of Science ®Google Scholar
• Ghannadi P, Kourehli SS. Structural damage detection based on MAC flexibility and frequency using moth – flame algorithm. Struct Eng Mech. 2019;6:649–659.
   Google Scholar
• Ghannadi P, Kourehli SS, Noori M, et al. Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes. Adv Struct Eng. 2020;23:2850–2865.
   Web of Science ®Google Scholar
• Ghannadi P, Kourehli SS. Model updating and damage detection in multi-story shear frames using salp swarm algorithm. Earthquakes Struct. 2019;17:63–73.
   Web of Science ®Google Scholar
• Ghannadi P, Kourehli SS. Multiverse optimizer for structural damage detection: numerical study and experimental validation. Struct Des Tall Spec Build. 2020;29:1–27.
   Web of Science ®Google Scholar
• Talbi EG. A taxonomy of hybrid metaheuristics. J Heuristics. 2002;8:541–564.
   Web of Science ®Google Scholar
• Begambre O, Laier JE. A hybrid particle swarm optimization – simplex algorithm (PSOS) for structural damage identification. Adv Eng Softw J. 2009;40:883–891.
   Web of Science ®Google Scholar
• Sandesh S, Shankar K. Application of a hybrid of particle swarm and genetic algorithm for structural damage detection. Inverse Probl Sci Eng. 2010;18:997–1021.
   Web of Science ®Google Scholar
• Baghmisheh MTV, Peimani M, Homayoun M. A hybrid particle swarm – Nelder–Mead optimization method for crack detection in cantilever beams. Appl Soft Comput J. 2012;12:2217–2226.
   Web of Science ®Google Scholar
• Qian X, Cao M, Su Z, et al. A hybrid particle swarm optimization (PSO)-simplex algorithm for damage identification of delaminated beams. Math Probl Eng. 2012;2012:1–12.
   Web of Science ®Google Scholar
• Pan C-D, Yu L, Chen Z-P, et al. A hybrid self-adaptive firefly-nelder-mead algorithm for structural damage detection. Smart Struct Syst. 2016;17:957–980.
   Web of Science ®Google Scholar
• Vaez SRH, Fallah N. Damage detection of thin plates using GA-PSO algorithm based on modal data. Arab J Sci Eng. 2017;42:1251–1263.
   Web of Science ®Google Scholar
• Kaveh A, Dadras A. Structural damage identification using an enhanced thermal exchange optimization algorithm. Eng Optim. 2018;50:430–451.
   Web of Science ®Google Scholar
• Moezi SA, Zakeri E, Zare A. Structural single and multiple crack detection in cantilever beams using a hybrid cuckoo-nelder-mead optimization method. Mech Syst Signal Process. 2018;99:805–831.
   Web of Science ®Google Scholar
• Shahrouzi M, Sabzi AH. Damage detection of truss structures by hybrid immune system and teaching–learning-based optimization. Asian J Civ Eng. 2018;19:811–825.
   Google Scholar
• Huang M, Lei Y, Cheng S. Damage identification of bridge structure considering temperature variations based on particle swarm optimization – cuckoo search algorithm. Adv Struct Eng. 2019;22:3262–3276.
   Web of Science ®Google Scholar
• Chen C, Yu L. A hybrid ant lion optimizer with improved Nelder–Mead algorithm for structural damage detection by improving weighted trace lasso regularization. Adv Struct Eng. 2020;23:468–484.
   Web of Science ®Google Scholar
• Mirjalili S, Zaiton S, Hashim M. A new hybrid PSOGSA algorithm for function optimization. IEEE Int Conf Comput Inf Appl (ICCIA 2010). 2010: 374–377. IEEE.
   Google Scholar
• Chutani S, Singh J. Use of modified hybrid PSOGSA for optimum design of RC frame. J Chinese Inst Eng. 2018;41(4):342–352.
   Web of Science ®Google Scholar
• Jayaprakasam S, Rahim SKA, Leow CY. PSOGSA-Explore: a new hybrid metaheuristic approach for beampattern optimization in collaborative beamforming. Appl Soft Comput J. 2015;30:229–237.
   Web of Science ®Google Scholar
• Jiang S, Ji Z, Shen Y. A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints. Int J Electr Power Energy Syst. 2014;55:628–644.
   Web of Science ®Google Scholar
• Seyedpoor SM. Structural damage detection using a multi-stage particle swarm optimization. Adv Struct Eng. 2011;14:533–549.
   Web of Science ®Google Scholar
• Shirazi MRN, Mollamahmoudi H, Seyedpoor SM. Structural damage identification using an adaptive multi-stage optimization method based on a modified particle swarm algorithm. J Optim Theory Appl. 2014;160:1009–1019.
   Web of Science ®Google Scholar
• Dinh-Cong D, Vo-Duy T, Ho-Huu V, et al. An efficient multi-stage optimization approach for damage detection in plate structures. Adv Eng Softw. 2017;112:76–87.
   Web of Science ®Google Scholar
• Das S, Dhang N. Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization. Smart Struct Syst. 2020;25:345–368.
   Web of Science ®Google Scholar
• Cawley P, Adams RD. The location of defects in structures from measurements of natural frequencies. J Strain Anal Eng Des. 1979;14:49–57.
   Web of Science ®Google Scholar
• Nicknam A, Hosseini MH. Structural damage localization and evaluation based on modal data via a new evolutionary algorithm. Arch Appl Mech. 2012;82:191–203.
   Web of Science ®Google Scholar
• Guedria NB. An accelerated differential evolution algorithm with new operators for multi-damage detection in plate-like structures. Appl Math Model. 2020;80:366–383.
   Web of Science ®Google Scholar
• West ML, Milman M, Kissil A. Mode shape expansion techniques for prediction: experimental evaluation marie. Exp Eval AIAA J. 1996;34:821–829.
   Web of Science ®Google Scholar
• Ghannadi P, Kourehli SS. Data-driven method of damage detection using sparse sensors installation by SEREPa. J Civ Struct Heal Monit. 2019;9:459–475.
   Web of Science ®Google Scholar
• Ghannadi P, Kourehli SS. An effective method for damage assessment based on limited measured locations in skeletal structures. Adv Struct Eng. 2021;24:183–195.
   Web of Science ®Google Scholar
• Kourehli SS. Prediction of unmeasured mode shapes and structural damage detection using least squares support vector machine. Struct Monit Maint. 2018;5:379–390.
   Google Scholar
• Dinh-cong D, Vo-duy T, Nguyen-thoi T. Damage assessment in truss structures with limited sensors using a two-stage method and model reduction. Appl Soft Comput J. 2018;66:264–277.
   Web of Science ®Google Scholar
• Kourehli SS, Amiri GG, Ghafory-Ashtiany M, et al. Structural damage detection based on incomplete modal data using pattern search algorithm. JVC/Journal Vib Control. 2013;19:821–833.
   Web of Science ®Google Scholar
• Ghannadi P, Kourehli SS. Investigation of the accuracy of different finite element model reduction techniques. Struct Monit Maint. 2018;5:417–428.
   Google Scholar
• Das S, Dhang N. Damage identification of structures using incomplete mode shape and improved TLBO-PSO with self-controlled multi-stage strategy. Structures. 2022;35:1101–1124.
   Web of Science ®Google Scholar
• Nanda B, Maity D, Maiti DK. Vibration based structural damage detection technique using particle swarm optimization with incremental swarm size. Int J Aeronaut Sp Sci. 2012;13:323–331.
   Web of Science ®Google Scholar
• Das S, Mondal S, Guchhait S. Particle swarm optimization-based characterization technique of nonproportional viscous damping parameter of a cantilever beam. J Vib Control. 2021: 10775463211010526.
   Web of Science ®Google Scholar
• Marwala T. Finite-element -model updating using computional intelligence techniques. London: Springer; 2010.
   Google Scholar
• Friswell MI, Garvey SD, Penny JET. Model reduction using dynamic and iterated irs techniques. J Sound Vib. 1995;186:311–323.
   Web of Science ®Google Scholar
• Guyan RJ. Reduction of stiffness and mass matrices. AIAA J. 1965;3:380–380.
   Google Scholar
• Friswell MI, Garvey S, Penny JE. The convergence of the iterated IRS. J Sound Vib. 1998;211:123–132.
   Web of Science ®Google Scholar
• Sastry CVS, Mahapatra DR, Gopalakrishnan S, et al. An iterative system equivalent reduction expansion process for extraction of high frequency response from reduced order finite element model q. Comput Methods Appl Mech Eng. 2003;192:1821–1840.
   Web of Science ®Google Scholar
• Pastor M, Binda M, Harčarik T. Modal assurance criterion. Procedia Eng. 2012;48:543–548.
   Google Scholar
• Harrison C, Butler R. Locating delaminations in composite beams using introduction. AIAA J. 2001;39:1383–1389.
   Google Scholar
• Rashedi E, Nezamabadi-pour H, Saryazdi S. GSA : a gravitational search algorithm. Inf Sci. 2009;179(13):2232–2248.
   Web of Science ®Google Scholar
• Kennedy J, Eberhart R. Particle swarm optimization. Proc IEEE Int Conf Neural Netw. 1995;4:1942–1948.
   Google Scholar
• Mishra M, Barman SK, Maity D, et al. Performance studies of 10 metaheuristic techniques in determination of damages for large-scale spatial trusses from changes in vibration responses. J Comput Civ Eng. 2020;34:04019052.
   Web of Science ®Google Scholar
• Yang QW. Model reduction by Neumann series expansion. Appl Math Model . 2009;33:4431–4434.
   Web of Science ®Google Scholar
• Kourehli SS. Damage identification of structures using second-order approximation of neumann series expansion. J Rehabil Civ Eng. 2020;8:81–91.
   Google Scholar
• O’callahan JC. A procedure for an improved reduced system (IRS) model. Proc 7th IMAC; Las Vegas, NV, 1989. 17–21.
   Google Scholar