Optimal Damage Detection Sensor Placement Using PSO

Author:

Abdalla M. O.1,Al-Khawaldeh E.1

Affiliation:

1. University of Jordan

Abstract

An optimal damage detection sensor placement methodology is presented. The techniques utilize a Particle Swarm Optimization (PSO) algorithm. The proposed method is iterative in nature and it permits the use of incomplete measurements. Also, it allows diversity of damage detection algorithms to be used to generate the PSO required fitness function. However, in this work Linear Matrix Inequalities are used as the damage detection schemes. Computer simulations of a cantilevered beam will be used to demonstrate the effectiveness of the methodology.

Publisher

Trans Tech Publications, Ltd.

Reference15 articles.

1. C.R. Farrar, F.M. Hemez, D.D. Shunk, D.W. Stinemates and B.R. Nadler: A Review of Structural Health Monitoring Literature: 1996–2001. (Report LA-13976-MS, Los Alamos National Laboratory, Los Alamos 2003).

2. M.O. Abdalla K.M. Grigoriadis and D.C. Zimmerman: Structural Damage Detection Using Linear Matrix Inequality Methods. Journal of Vibration and Acoustics 122(4), pp.448-455.

3. M. Kaoukand D.C. Zimmerman: Structural Damage Assessment Using A Generalized Minimum Rank Perturbation Theory. AIAA Journal 32(4), pp.836-842.

4. M.O. Abdalla: Particle Swarm Optimization (PSO) for Structural Damage Detection. (Proceedings of the 3rd International Conference on Applied Mathematics, Simulation, Modelling, Circuits, Systems and Signals, Greece 2009).

5. G. Heo, M.L. Wnag and D. Stapathi: Optimal Transducer Placement for Health Monitoring for a Long Span Bridge. Soil Dynamics and Earthquake Engineering (16), pp.495-502.

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