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http://dx.doi.org/10.12989/sem.2018.68.6.735

An improved Big Bang-Big Crunch algorithm for structural damage detection  

Yin, Zhiyi (Department of Applied Mechanics and Engineering, School of Aeronautics and Astronautics, Sun Yat-sen University)
Liu, Jike (Department of Applied Mechanics and Engineering, School of Aeronautics and Astronautics, Sun Yat-sen University)
Luo, Weili (School of Civil Engineering, Guangzhou University)
Lu, Zhongrong (Department of Applied Mechanics and Engineering, School of Aeronautics and Astronautics, Sun Yat-sen University)
Publication Information
Structural Engineering and Mechanics / v.68, no.6, 2018 , pp. 735-745 More about this Journal
Abstract
The Big Bang-Big Crunch (BB-BC) algorithm is an effective global optimization technique of swarm intelligence with drawbacks of being easily trapped in local optimal results and of converging slowly. To overcome these shortages, an improved BB-BC algorithm (IBB-BC) is proposed in this paper with taking some measures, such as altering the reduced form of exploding radius and generating multiple mass centers. The accuracy and efficiency of IBB-BC is examined by different types of benchmark test functions. The IBB-BC is utilized for damage detection of a simply supported beam and the European Space Agency structure with an objective function established by structural frequency and modal data. Two damage scenarios are considered: damage only existed in stiffness and damage existed in both stiffness and mass. IBB-BC is also validated by an existing experimental study. Results demonstrated that IBB-BC is not trapped into local optimal results and is able to detect structural damages precisely even under measurement noise.
Keywords
swarm intelligence; BB-BC algorithm; benchmark test function; damage detection; frequency domain;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Ni, P. and Law, S. (2016), "Hybrid computational strategy for structural damage detection with short-term monitoring data", Mech. Syst. Sign. Proc., 70, 650-663.
2 Ni, P., Xia, Y., Li, J. and Hao, H. (2018), "Improved decentralized structural identification with output-only measurements", Measure., 122, 597-610.
3 Osman, K.E. and Ibrahim, E. (2006), "A new optimization method: Big Bang-Big Crunch", Adv. Eng. Softw., 37(2), 106-111.   DOI
4 Prayogoa, D., Cheng, M.Y., Wu, Y.W., Herdany, A.A. and Prayogo, H. (2018), "Differential Big Bang-Big Crunch algorithm for construction-engineering design optimization", Automat. Constr., 85, 290-304.   DOI
5 Rezaee Jordehi, A. (2014), "A chaotic-based big bang-big crunch algorithm for solving global optimization problems", Netur. Comput. Appl., 25(6), 1329-1335.   DOI
6 Shan, M.P. (2001). "Incomplete dynamic measurement in structural damage assessment", M.Sc. Dissertation, Hong Kong Polytechnic University, Hong Kong.
7 Tabrizian, Z., Afshari, E., Amiri, G.G., Beigy, A., Hossein, M. and Nejad, S.M.P. (2013), "A new damage detection method: Big Bang-Big Crunch (BB-BC) algorithm", Shock Vibr., 20(4), 633-648.   DOI
8 Tao, Y., Zhu, H.P. and Yu, L. (2006), "Application study of an improved genetic algorithm for frame structure damage detection", J. Vibr. Eng., 19(4), 525-531.   DOI
9 Yuan, X., Dai, X., Zhao, J. and He, Q. (2014), "On a novel multiswarm fruit fly optimization algorithm and its application", Appl. Math. Comput., 233, 260-271.
10 Zhang, W., Li, J., Hao, H. and Ma, H.W. (2017), "Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements", Mech. Syst. Sign. Proc., 87, 410-425.   DOI
11 Guo, H.Y. and Li, Z.L. (2014), "Structural damage identification based on evidence fusion and improved particle swarm optimization", J. Vibr. Contr., 20(9), 1279-1292.   DOI
12 Zheng, T., Liu, J., Luo, W. and Lu, Z. (2018), "Structural damage identification using cloud model based fruit fly optimization algorithm", Struct. Eng. Mech., 67(3), 245-254.   DOI
13 Begambrea, O. and Laier, J.E. (2009), "A hybrid particleswarm optimization-simplex algorithm (PSOS) for structural damage identification", Adv. Eng. Softw., 40(9), 883-891   DOI
14 Charles, V.C. (2007), "Design of space trusses using Big Bang-Big Crunch optimization", J. Struct. Eng., 133(7), 999-1008.   DOI
15 Chou, J.H. and Ghaboussi, J. (2001), "Genetic algorithm in structural damage detection", Comput. Struct., 79(14), 1335-1353.   DOI
16 Fan, W. and Qiao, P. (2011), "Vibration-based damage identification method: A review and comparative study", Struct. Health Monitor., 13(4), 430-444.   DOI
17 Hjelmstad, K.D. and Shin, S. (1996), "Crack identification in a cantilever beam from modal response", J. Sound Vibr., 198(5), 527-545.   DOI
18 Kang, F., Li, J. and Xu, Q. (2012), "Damage detection based on improved particle swarm optimization using vibration data", Appl. Soft Comput., 12(8), 2329-2335.   DOI
19 Huang, J.L. and Zhong, R.L. (2017), "BB-BC optimization algorithm for structural damage detection using measured acceleration responses", Struct. Eng. Mech., 64(3), 353-360.   DOI
20 Huang, M.S., Wu, L. and Zhu, H.P. (2012), "Structural damage identification based on improved damage identification factor and genetic algorithm under noise", J. Vibr. Shock, 31(21), 168-174.
21 Kaveh, A. and Talatahari, S. (2009), "Size optimization of space trusses using Big Bang-Big Crunch algorithm", Comput. Struct., 87(17-18), 1129-1140.   DOI
22 Li, S. and Lu, Z.R. (2015), "Multi-swarm fruit fly optimization algorithm for structural damage identification", Struct. Eng. Mech., 56(3), 409-422.   DOI
23 Kaveh, A. and Zolghadr, A. (2012), "Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability", Comput. Struct., 102, 14-27.
24 Kaveh, A. and Zolghadr, A. (2015), "An improved CSS for damage detection of truss structures using changes in natural frequencies and mode shapes", Adv. Eng. Softw., 80, 93-100.   DOI
25 Li, J., Hao, H. and Chen, Z.W. (2017), "Damage identification and optimal sensor placement for structures under unknown traffic-induced vibrations", J. Aerosp. Eng., 30(2), B4015001.   DOI
26 Majumdar, A., Nanda, B., Malti, D.K. and Maity, D. (2014), "Structural damage detection based on modal parameters using continuous ant colony optimization", Adv. Civil Eng., 1-14.
27 Mares, C. and Surace, C. (1996), "An application of genetic algorithm to identify damage in elastic structures", J. Sound Vibr., 195(2), 195-215.   DOI