Special Issue: Advances in Structural Identification, Damage Detection and Condition Assessment; Guest Editors: Prof. Ying Lei, Prof. Hoon Sohn and Dr. Ting-Hua YiNo Access

Two-Stage Damage Identification Based on Modal Strain Energy and Revised Particle Swarm Optimization

Sheng-Lan Ma

College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China

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Shao-Fei Jiang

College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China

Corresponding author.

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, and

Liu-Qing Weng

College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China

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https://doi.org/10.1142/S0219455414400057Cited by:10 (Source: Crossref)

Abstract

This paper presents a novel two-stage damage detection method by integrating modal strain energy and revised particle swarm optimization (RPSO). In the first stage, the modal strain energy change ratio (MSECR) is used to roughly identify the locations of damaged elements via an appropriate MSECR threshold which is determined through parameter estimation. In the second stage, RPSO that integrates evolutionary theory with general PSO is used to precisely locate and quantify the damage with the gravity position of the selected excellent particles in the current entire population taken into consideration. Two numerical simulations and a seven-story steel frame experiment in laboratory conditions are performed to validate the proposed method, and a comparison is made between the proposed approach and existing methods. The results show that: (1) the proposed method can not only effectively locate damage, but also accurately evaluate the extent of damage. Meanwhile, it also enjoys good noise-tolerance and adaptability; (2) the damage threshold of the MSECR presented in this paper can be determined by the parameter estimation and reliability index, and then used to reduce the number of elements to be analyzed and to improve the computation efficiency in the second stage; and (3) compared with general PSO algorithm, RPSO is more efficient and robust for damage detection with a better noise-tolerance. This study shows that the proposed method can provide a reliable and fast tool to accurately identify, locate and quantify single- and multi-damage of complex engineering structures.

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References

S. M. Seyedpoor, Int. J. Non-Linear Mech. 47(1), 1 (2012), DOI: 10.1016/j.ijnonlinmec.2011.07.011. Web of Science, Google Scholar
H. Monajemi, H. A. Razak and Z. Ismail, Measurement 46(9), 3541 (2013), DOI: 10.1016/j.measurement.2013.07.002. Web of Science, Google Scholar
Y. Lei, Y. Q. Jiang and Z. Q. Xu, Mech. Syst. Signal Process. 28, 229 (2012), DOI: 10.1016/j.ymssp.2011.07.026. Web of Science, Google Scholar
N. Roveri and A. Carcaterra, Mech. Syst. Signal Process. 28, 128 (2012), DOI: 10.1016/j.ymssp.2011.06.018. Web of Science, Google Scholar
H. Hao and Y. Xia, J. Comput. Civil Eng.-ASCE 16(3), 222 (2002), DOI: 10.1061/(ASCE)0887-3801(2002)16:3(222). Web of Science, Google Scholar
B. Sahoo and D. Maity, Appl. Soft Comput. 7(1), 89 (2007), DOI: 10.1016/j.asoc.2005.04.001. Web of Science, Google Scholar
R. S. He and S. F. Hwang, Comput. Struct. 84(32), 2231 (2006), DOI: 10.1016/j.compstruc.2006.08.031. Web of Science, Google Scholar
S. Kokot and Z. Zembaty, Soil Dynam. Earthquake Eng. 29(2), 311 (2009), DOI: 10.1016/j.soildyn.2008.03.001. Web of Science, Google Scholar
K. H. Lee, S. W. Baek and K. W. Kim, Int. J. Heat Mass Transfer 51(12), 2772 (2008), DOI: 10.1016/j.ijheatmasstransfer.2007.09.037. Web of Science, Google Scholar
S. Panda and N. P. Padhy, Appl. Soft Comput. 8(4), 1418 (2008), DOI: 10.1016/j.asoc.2007.10.009. Web of Science, Google Scholar
E. Elbeltagi, T. Hegazy and D. Grierson, Adv. Eng. Inform. 19(1), 43 (2005), DOI: 10.1016/j.aei.2005.01.004. Web of Science, Google Scholar
M. J. Abdi and D. Giveki, Eng. Appl. Artif. Intell. 26(1), 603 (2013), DOI: 10.1016/j.engappai.2012.01.017. Web of Science, Google Scholar
R. Ugolottiet al., Appl. Soft Comput. 13(6), 3092 (2013), DOI: 10.1016/j.asoc.2012.11.027. Web of Science, Google Scholar
F. Kang, J. J. Li and Q. Xu, Appl. Soft Comput. 12(8), 2329 (2012), DOI: 10.1016/j.asoc.2012.03.050. Web of Science, Google Scholar
S. Baskar and P. N. Suganthan, A novel concurrent particle swarm optimization, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Press, Piscataway, 2004) pp. 792–796. Google Scholar
F. Bergh, An Analysis of Particle Swarm Optimizers. Department of Computer Science, University of Pretoria South Africa (2002) . Google Scholar
B. H. Koh and S. J. Dyke, Comput. Struct. 85(4), 117 (2007), DOI: 10.1016/j.compstruc.2006.09.005. Web of Science, Google Scholar
Y. Zou, L. Tong and G. P. Steven, J. Sound Vibr. 230(2), 357 (2000), DOI: 10.1006/jsvi.1999.2624. Web of Science, Google Scholar
H. W. Hu and C. B. Wu, Mech. Syst. Signal Process. 23(2), 274 (2009), DOI: 10.1016/j.ymssp.2008.05.001. Web of Science, Google Scholar
S. F. Jiang, S. Y. Wu and L. Q. Dong, A time-domain structural damage detection method based on improved multi-particle swarm coevolution optimization algorithm. Mathematical Problems in Engineering 2014, Article ID 232763 (2014) 1–11 . Google Scholar
H. W. Shih, D. P. Thambiratnam and T. H. Chan, J. Sound Vibr. 323(3), 645 (2009), DOI: 10.1016/j.jsv.2009.01.019. Web of Science, Google Scholar
W. T. Thomson and M. D. Dahleh , Theory of Vibration with Applications ( Tsinghua University Press , Beijing , 2005 ) . Google Scholar
S. F. Jiang, C. Fu and C. M. Zhang, Adv. Eng. Software 42(6), 368 (2011), DOI: 10.1016/j.advengsoft.2011.03.002. Web of Science, Google Scholar
Z. Y. Shi, S. S. Law and L. M. Zhang, J. Sound Vibr. 218(5), 825 (1998), DOI: 10.1006/jsvi.1998.1878. Web of Science, Google Scholar
C. G. Koh and M. J. Perry , Structural Identification and Damage Detection using Genetic Algorithms ( CRC/Balkema, Taylor and Francis Group , 2010 ) . Google Scholar
Y. Y. Li, Mech. Syst. Signal Process. 24(3), 653 (2010), DOI: 10.1016/j.ymssp.2009.11.002. Web of Science, Google Scholar
N. Stubbs and J. T. Kim, AIAA J. 34(8), 1644 (1996), DOI: 10.2514/3.13284. Google Scholar
P. Cornerll, S. W. Doebling and C. R. Farrar, J. Sound Vibr. 224(2), 359 (1999). Web of Science, Google Scholar
K. Xu and D. Liu, Comput. Eng. Appl. 45(3), 51 (2009). Web of Science, Google Scholar