Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79228
Title: Structural damage detection-oriented multi-type sensor placement with multi-objective optimization
Authors: Lin, JF 
Xu, YL 
Law, SS
Keywords: Multi-type sensor placement
Multi-objective optimization
Pareto-optimal solution
Response covariance sensitivity
Response independence
Damage detection
Issue Date: 2018
Publisher: Academic Press
Source: Journal of sound and vibration, 26 May 2018, v. 422, p. 568-589 How to cite?
Journal: Journal of sound and vibration 
Abstract: A structural damage detection-oriented multi-type sensor placement method with multi-objective optimization is developed in this study. The multi-type response covariance sensitivity-based damage detection method is first introduced. Two objective functions for optimal sensor placement are then introduced in terms of the response covariance sensitivity and the response independence. The multi-objective optimization problem is formed by using the two objective functions, and the non-dominated sorting genetic algorithm (NSGA)-II is adopted to find the solution for the optimal multi-type sensor placement to achieve the best structural damage detection. The proposed method is finally applied to a nine-bay three-dimensional frame structure. Numerical results show that the optimal multi-type sensor placement determined by the proposed method can avoid redundant sensors and provide satisfactory results for structural damage detection. The restriction on the number of each type of sensors in the optimization can reduce the searching space in the optimization to make the proposed method more effective. Moreover, how to select a most optimal sensor placement from the Pareto solutions via the utility function and the knee point method is demonstrated in the case study.
URI: http://hdl.handle.net/10397/79228
ISSN: 0022-460X
EISSN: 1095-8568
DOI: 10.1016/j.jsv.2018.01.047
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