[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/sss.2015.15.5.1253

Damage detection based on MCSS and PSO using modal data

Kaveh, Ali (Centre of Excellence for Fundamental Studies in Structural Engineering, Department of Civil Engineering, Iran University of Science and Technology)
Maniat, Mohsen (Centre of Excellence for Fundamental Studies in Structural Engineering, Department of Civil Engineering, Iran University of Science and Technology)

Publication Information

Smart Structures and Systems / v.15, no.5, 2015 , pp. 1253-1270 More about this Journal

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.

Keywords

damage detection; natural frequencies; mode shapes; beams; trusses; magnetic charged system search; particle swarm optimization;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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