Abstract
Modal strain energy has been reported by researchers as one of the sensitive physical measures that can be used as a damage index in structural health monitoring. Inverse problem-solving based approaches using single-objective optimization algorithms are also one of the promising damage identification methods. However, integration of these potential methods is currently limited with partial success in the detection of structural damages due to errors and noises. In this study, a novel damage detection approach using hybrid multi-objective optimization algorithms is proposed to detect multiple damages in a 3-dimensional steel structure. This study developed an approach to overcome the shortcomings of the single-objective genetic algorithm based approaches using multi-objective formulations for minimizing errors of damage indices between actual damaged structures and simulated damages. The performance of the proposed hybrid multi-objective genetic algorithm is compared to that of traditional single-objective optimizations based approaches. This study accurately detects the location and extent of induced multiple minor damages of the laboratory 3-dimensional steel structure.
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References
Petro SH, Chen SE, GangaRao HVS, Venkatappa S (1997) Damage detection using vibration measurements. In: IMAC XV – 15th international modal analysis conference 1997
Carrasco CJ, Osegueda RA, Ferregut CM, Grygier M (1997) Damage localization in a space truss model using modal strain energy. In: Proceedings-SPIE the international society for optical engineering, pp 1786–1792
Shi ZY, Law SS, Zhang LM (2000) Structural damage detection from modal strain energy change. J Eng Mech 126(12):1216–1223
Yan WJ, Huang TL, Ren WX (2010) Damage detection method based on element modal strain energy sensitivity. Adv Struct Eng 13(6):1075–1088
Friswell MI, Penny JET, Garvey SD (1998) A combined genetic and eigensensitivity algorithm for the location of damage in structures. Comput Struct 69(5):547–556
Au FTK, Cheng YS, Tham LG, Bai ZZ (2003) Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data. J Sound Vib 259(5):1081–1094
Raich AM, Liszkai TR (2007) Improving the performance of structural damage detection methods using advanced genetic algorithms. J Struct Eng 133(3):449–461
Wang FL, Chan TH, Thambiratnam DP, Tan AC, Cowled CJ (2012) Correlation-based damage detection for complicated truss bridges using multi-layer genetic algorithm. Adv Struct Eng 15(5):693–706
Sazonov E, Klinkhachorn P (2005) Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes. J Sound Vib 285(4):783–801
Raich AM, Ghaboussi J (2000) Evolving structural design solutions using an implicit redundant genetic algorithm. Struct Multidiscip Optim 20(3):222–231
Cha Y-J, Agrawal AK, Kim Y, Raich AM (2012) Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures. Expert Syst Appl 39(9):7822–7833
Cha Y-J, Raich AM, Barroso LR, Agrawal AK (2013) Optimal placement of active control devices and sensors in frame structures using multi‐objective genetic algorithms. Struct Control Health Monit 20(1):16–44
Cha Y-J, Kim Y, Raich AM, Agrawal AK (2013) Multi-objective formulation for actuator and sensor layouts of actively controlled 3-D buildings. J Vib Control 19(6):942–960
Deb K, Pratap A, Agarwal S, Meyarivan TAMT (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197
Acknowledgement
The authors acknowledge the support provided by Royal Dutch Shell through the MIT Energy Initiative, and thank chief scientists Dr. Dirk Smit, Dr. Sergio Kapusta, project manager Dr. Yile Li, and Shell-MIT liaison Dr. Jonathan Kane for their oversight of this work. Thanks are also due to James Long for his help with finalizing this paper.
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© 2014 The Society for Experimental Mechanics, Inc.
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Cha, YJ., Buyukozturk, O. (2014). Modal Strain Energy Based Damage Detection Using Multi-Objective Optimization. In: Wicks, A. (eds) Structural Health Monitoring, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-04570-2_14
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DOI: https://doi.org/10.1007/978-3-319-04570-2_14
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