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Smart Structures and Systems Volume 15, Number 5, May 2015 , pages 1253-1270 DOI: https://doi.org/10.12989/sss.2015.15.5.1253 |
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Damage detection based on MCSS and PSO using modal data |
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Ali Kaveh and Mohsen Maniat
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Abstract | ||
In this paper Magnetic Charged System Search (MCSS) and Particle Swarm Optimization (PSO) are applied to the problem of damage detection using frequencies and mode shapes of the structures. The objective is to identify the location and extent of multi-damage in structures. Both natural frequencies and mode shapes are used to form the required objective function. To moderate the effect of noise on measured data, a penalty approach is applied. A variety of numerical examples including two beams and two trusses are considered. A comparison between the PSO and MCSS is conducted to show the efficiency of the MCSS in finding the global optimum. The results show that the present methodology can reliably identify damage scenarios using noisy measurements and incomplete data. | ||
Key Words | ||
damage detection; natural frequencies; mode shapes; beams; trusses; magnetic charged system search; particle swarm optimization | ||
Address | ||
Ali Kaveh and Mohsen Maniat: Centre of Excellence for Fundamental Studies in Structural Engineering, Department of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran-16, Iran | ||