Damage detection in structures using Particle Swarm Optimization combined with Artificial Neural Network |
Nguyen-Ngoc, L.
(Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications)
Tran-Ngoc, H. (Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications) Bui-Tien, T. (Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications) Mai-Duc, A. (Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications) Abdel Wahab, M. (Institute of Research and Development, Duy Tan University) Nguyen, Huan X. (London Digital Twin Research Centre, Faculty of Science and Technology, Middlesex University) De Roeck, G. (Department of Civil Engineering, KU Leuven) |
1 | Tran, N.H. and Bui, T.T. (2019), "Damage detection in a steel beam structure using particle swarm optimization and experimentally measured results", Sci. J. Transport., (9), 3-9. |
2 | Ho, V.L., Tran, N.H., De Roeck, G., Bui, T.T. and Wahab, M.A., (2018), "System identification based on vibration testing of a steel I-beam", Proceedings of International Conference on Numerical Modelling in Engineering (pp. 254-268), Springer, Singapore. https://doi.org/10.1007/978-981-13-2405-5_21 DOI |
3 | Khatir, S., Belaidi, I., Khatir, T., Hamrani, A., Zhou, Y.L. and Wahab, M.A. (2017), "Multiple damage detection in composite beams using Particle Swarm Optimization and Genetic Algorithm", Mechanics, 23(4), 514-521. https://doi.org/10.5755/j01.mech.23.4.15254 DOI |
4 | Dang, H.V., Tran-Ngoc, H., Nguyen, T.V., Bui-Tien, T., De Roeck, G. and Nguyen, H.X. (2020), "Data-driven structural health monitoring using feature fusion and hybrid deep learning", IEEE Transact. Automat. Sci. Eng. https://doi.org/10.1109/TASE.2020.3034401 DOI |
5 | Francois, S., Schevenels, M., Dooms, D., Jansen, M., Wambacq, J., Lombaert, G., Degrande, G. and De Roeck, G. (2021), "Stabil: An educational Matlab toolbox for static and dynamic structural analysis", Comput. Applicat. Eng. Edu. https://doi.org/10.1002/cae.22391 DOI |
6 | Ghadimi, S. and Kourehli, S.S. (2017), "Multiple crack identification in Euler beams using extreme learning machine", KSCE J. Civil Eng., 21(1), 389-396. https://doi.org/10.1007/s12205-016-1078-0 DOI |
7 | Ghannadi, P. and Kourehli, S.S. (2019a), "Data-driven method of damage detection using sparse sensors installation by SEREPa", J. Civil Struct. Health Monitor., 9(4), 459-475. https://doi.org/10.1007/s13349-019-00345-8 DOI |
8 | Ghannadi, P. and Kourehli, S.S. (2019b), "Model updating and damage detection in multi-story shear frames using Salp Swarm Algorithm", Earthq. Struct., Int. J., 17(1), 63-73. https://doi.org/10.12989/eas.2019.17.1.063 DOI |
9 | Ghannadi, P. and Kourehli, S.S. (2019c), "Structural damage detection based on MAC flexibility and frequency using moth-flame algorithm", Struct. Eng. Mech., Int. J., 70(6), 649-659. https://doi.org/10.12989/sem.2019.70.6.649 DOI |
10 | Hakim, S.J.S. and Razak, H.A. (2013), "Structural damage detection of steel bridge girder using artificial neural networks and finite element models", Steel Compos. Struct., Int. J., 14(4), 367-377. https://doi.org/10.12989/scs.2013.14.4.367 DOI |
11 | Chou, J.H. and Ghaboussi, J. (2001), "Genetic algorithm in structural damage detection", Comput. Struct., 79(14), 1335-1353. https://doi.org/10.1016/S0045-7949(01)00027-X DOI |
12 | Cuong, N.H. and Quang, N.D. (2020), "Experimental study on flexural behavior of prestressed and non-prestressed textile reinforced concrete plates". https://doi.org/10.25073/tcsj.71.1.5 |
13 | Dang, H.V., Raza, M., Tran-Ngoc, H., Bui-Tien, T. and Nguyen, H.X. (2021), "Connection stiffness reduction analysis in steel bridge via deep CNN and modal experimental data", Struct. Eng. Mech., Int. J., 77(4), 495-508. https://doi.org/10.12989/sem.2021.77.4.495 DOI |
14 | Hien, T.D. (2020), "A static analysis of nonuniform column by stochastic finite-element method using weighted integration approach", Transp. Commun. Sci. J., 70. |
15 | Khatir, S. and Wahab, M.A. (2019b), "A computational approach for crack identification in plate structures using XFEM, XIGA, PSO and Jaya algorithm", Theor. Appl. Fract. Mech., 103, 102240. https://doi.org/10.1016/j.tafmec.2019.102240 DOI |
16 | Hoa, T.N., Khatir, S., De Roeck, G., Long, N.N., Thanh, B.T. and Wahab, M.A. (2020), "An efficient approach for model updating of a large-scale cable-stayed bridge using ambient vibration measurements combined with a hybrid metaheuristic search algorithm", Smart Struct. Syst., Int. J., 25(4), 487-499. https://doi.org/10.12989/sss.2020.25.4.487 DOI |
17 | Hwang, H. and Kim, C. (2004), "Damage detection in structures using a few frequency response measurements", J. Sound Vib., 270(1-2), 1-14. https://doi.org/10.1016/S0022-460X(03)00190-1 DOI |
18 | Janssens, O., Slavkovikj, V., Vervisch, B., Stockman, K., Loccufier, M., Verstockt, S., Van de Walle, R. and Van Hoecke, S. (2016), "Convolutional neural network based fault detection for rotating machinery", J. Sound Vib., 377, 331-345. https://doi.org/10.1016/j.jsv.2016.05.027 DOI |
19 | Khatir, S. and Wahab, M.A. (2019a), "Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm", Eng. Fract. Mech., 205, 285-300. https://doi.org/10.1016/j.engfracmech.2018.09.032 DOI |
20 | Khatir, S., Tiachacht, S., Thanh, C.L., Bui, T.Q. and Wahab, M.A. (2019), "Damage assessment in composite laminates using ANN-PSO-IGA and Cornwell indicator", Compos. Struct., 230, 111509. https://doi.org/10.1016/j.tafmec.2019.102240 DOI |
21 | Khatir, S., Boutchicha, D., Le Thanh, C., Tran-Ngoc, H., Nguyen, T.N. and Abdel-Wahab, M. (2020a), "Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis", Theor. Appl. Fract. Mech., 107, 102554. https://doi.org/10.1016/j.tafmec.2020.102554 DOI |
22 | Kourehli, S.S. (2018), "Prediction of unmeasured mode shapes and structural damage detection using least squares support vector machine", Struct. Monitor. Maint., Int. J., 5(3), 379-390. https://doi.org/10.12989/smm.2018.5.3.379 DOI |
23 | Mai, B.T.T., Cuong, N.H., Quang, N.D. and Tai, D.H. (2020), "Experimental study on flexural and shear behaviour of sandwich panels using glass textile reinforced concrete and autoclaved aerated concrete", Transp. Commun. Sci. J., 71(1), 18-26. DOI |
24 | Tran-Ngoc, H., Khatir, S., De Roeck, G., Bui-Tien, T., Nguyen-Ngoc, L. and Abdel Wahab, M. (2018), "Model updating for Nam O bridge using particle swarm optimization algorithm and genetic algorithm", Sensors, 18(12), 4131. https://doi.org/10.3390/s18124131 DOI |
25 | DjuriC, P.M. (1996), "A model selection rule for sinusoids in white Gaussian noise", IEEE Transact. Signal Process., 44(7), 1744-1751. https://doi.org/10.1109/78.510621 DOI |
26 | Eberhart, R. and Kennedy, J. (1995), "A new optimizer using particle swarm theory", Proceedings of the 6th International Symposium on Micro Machine and Human Science, Nagoya, Japan. October. https://doi.org/10.1109/MHS.1995.494215 DOI |
27 | Tran-Ngoc, H., Khatir, S., De Roeck, G., Bui-Tien, T. and Wahab, M.A. (2020b), "Damage assessment in beam-like structures using cuckoo search algorithm and experimentally measured data", Proceedings of the 13th International Conference on Damage Assessment of Structures, pp. 380-385. https://doi.org/10.1007/978-981-13-8331-1_27 DOI |
28 | Mares, C. and Surace, C. (1996), "An application of genetic algorithms to identify damage in elastic structures", Journal of Sound and Vibration, 195(2), 195-215. https://doi.org/10.1006/jsvi.1996.0416 DOI |
29 | Miguel, L.F.F., Lopez, R.H. and Miguel, L.F.F. (2013), "A hybrid approach for damage detection of structures under operational conditions", J. Sound Vib., 332(18), 4241-4260. https://doi.org/10.1016/j.jsv.2013.03.017 DOI |
30 | Samir, K., Brahim, B., Capozucca, R. and Wahab, M.A. (2018), "Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm", Compos. Struct., 187, 344-353. https://doi.org/10.1016/j.compstruct.2017.12.058 DOI |
31 | Tran-Ngoc, H., Khatir, S., De Roeck, G., Bui-Tien, T., Nguyen-Ngoc, L. and Wahab, M.A. (2019b), "Stiffness identification of truss joints of the nam o bridge based on vibration measurements and model updating", Proceedings of International Conference on Arch Bridges, pp. 264-272. |
32 | Tran-Ngoc, H., He, L., Reynders, E., Khatir, S., Le-Xuan, T., De Roeck, G., Bui-Tien, T. and Wahab, M.A. (2020a), "An efficient approach to model updating for a multispan railway bridge using orthogonal diagonalization combined with improved particle swarm optimization", J. Sound Vib., 476, 115315. https://doi.org/10.1016/j.jsv.2020.115315 DOI |
33 | Tran-Ngoc, H., Khatir, S., De Roeck, G., Bui-Tien, T. and Wahab, M.A. (2019a), "An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm", Eng. Struct., 199, 109637. https://doi.org/10.1016/j.engstruct.2019.109637 DOI |
34 | Kourehli, S.S. (2017a), "Application of extreme learning machine to damage detection of plate-like structures", Int. J. Struct. Stabil. Dyn., 17(07), 1750068. https://doi.org/10.1142/S0219455417500687 DOI |
35 | Kaveh, A. and Maniat, M. (2015), "Damage detection based on MCSS and PSO using modal data", Smart Struct. Syst., Int. J., 15(5), 1253-1270. http://doi.org/10.12989/sss.2015.15.5.1253 DOI |
36 | Nguyen, D.H., Tran-Ngoc, H., Bui-Tien, T., De Roeck, G. and Wahab, M.A. (2020), "Damage detection in truss bridges using transmissibility and machine learning algorithm: Application to Nam O bridge", Smart Struct. Syst., Int. J., 26(1), 35-47. https://doi.org/10.12989/sss.2020.26.1.035 DOI |
37 | Abdeljaber, O., Avci, O., Kiranyaz, S., Gabbouj, M. and Inman, D.J. (2017), "Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks", J. Sound Vib., 388, 154-170. https://doi.org/10.1016/j.jsv.2016.10.043 DOI |
38 | Tran-Ngoc, H., Khatir, S., Ho-Khac, H., De Roeck, G., Bui-Tien, T. and Wahab, M.A. (2021a), "Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structures", Compos. Struct., 262, 113339. https://doi.org/10.1016/j.compstruct.2020.113339 DOI |
39 | Tran-Ngoc, H., Khatir, S., Le-Xuan, T., De Roeck, G., Bui-Tien, T. and Wahab, M.A. (2021b), "Finite element model updating of a multispan bridge with a hybrid metaheuristic search algorithm using experimental data from wireless triaxial sensors", Eng. Comput., 1-19. https://doi.org/10.1007/s00366-021-01307-9 DOI |
40 | Zenzen, R., Belaidi, I., Khatir, S. and Wahab, M.A. (2018), "A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm", Comptes Rendus Mecanique, 346(12), 1253-1266. https://doi.org/10.1016/j.crme.2018.09.003 DOI |
41 | Hou, G., Xu, Z., Liu, X. and Jin, C. (2019), "Improved particle swarm optimization for selection of shield tunneling parameter values", Comput. Model. Eng. Sci., 118(2), 317-337. https://doi.org/10.31614/cmes.2019.04693 DOI |
42 | Khatir, S., Khatir, T., Boutchicha, D., Le Thanh, C., Tran-Ngoc, H., Bui, T.Q., Capozucca, R. and Abdel-Wahab, M. (2020b), "An efficient hybrid TLBO-PSO-ANN for fast damage identification in steel beam structures using IGA", Smart Struct. Syst., Int. J., 25(5), 605-617. https://doi.org/10.12989/sss.2020.25.5.605 DOI |
43 | Tran-Ngoc, H., Khatir, S., Le-Xuan, T., De Roeck, G., Bui-Tien, T. and Wahab, M.A. (2020c), "A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures", Int. J. Eng. Sci., 157, 103376. https://doi.org/10.1016/j.ijengsci.2020.103376 DOI |
44 | Tiachacht, S., Bouazzouni, A., Khatir, S., Wahab, M.A., Behtani, A. and Capozucca, R. (2018), "Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm", Eng. Struct., 177, 421-430. https://doi.org/10.1016/j.engstruct.2018.09.070 DOI |
45 | Xu, H.J., Ding, Z.H., Lu, Z.R. and Liu, J.K. (2016), "Structural damage detection using a modified artificial bee colony algorithm", CMES-Comput. Model. Eng. Sci., 111, 335-355. |
46 | Yazdanmehr, M., Anijdan, S.M. and Bahrami, A. (2009), "Using GA-ANN algorithm to optimize soft magnetic properties of nanocrystalline mechanically alloyed Fe-Si powders", Computat. Mater. Sci., 44(4), 1218-1221. https://doi.org/10.1016/j.commatsci.2008.08.003 DOI |
47 | Zhou, Y.L. and Wahab, M.A. (2017), "Damage detection using vibration data and dynamic transmissibility ensemble with auto-associative neural network", Mechanics, 23(5), 688-695. http://dx.doi.org/10.5755/j01.mech.23.5.15339 DOI |
48 | Na, C., Kim, S.P. and Kwak, H.G. (2011), "Structural damage evaluation using genetic algorithm", J. Sound Vib., 330(12), 2772-2783. https://doi.org/10.1016/j.jsv.2011.01.007 DOI |
49 | Kourehli, S.S. (2017b), "Structural damage diagnosis using incomplete static responses and LS-SVM", Inverse Problems Sci. Eng., 25(3), 418-433. https://doi.org/10.1080/17415977.2016.1169277 DOI |
50 | Maity, D. and Tripathy, R.R. (2005), "Damage assessment of structures from changes in natural frequencies using genetic algorithm", Struct. Eng. Mech., Int. J., 19(1), 21-42. https://doi.org/10.12989/sem.2005.19.1.021 DOI |