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Structural Damage Detection Using Modal Curvature and Fuzzy Logic

Chandrashekhar, M and Ganguli, Ranjan (2009) Structural Damage Detection Using Modal Curvature and Fuzzy Logic. In: Structural health monitoring-an international journal, 8 (4). pp. 267-282.

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Official URL: http://shm.sagepub.com/cgi/content/abstract/8/4/26...


A fuzzy logic system (FLS) with a new sliding window defuzzifier is proposed for structural damage detection using modal curvatures. Changes in the modal curvatures due to damage are fuzzified using Gaussian fuzzy sets and mapped to damage location and size using the FLS. The first four modal vectors obtained from finite element simulations of a cantilever beam are used for identifying the location and size of damage. Parametric studies show that modal curvatures can be used to accurately locate the damage; however, quantifying the size of damage is difficult. Tests with noisy simulated data show that the method detects damage very accurately at different noise levels and when some modal data are missing.

Item Type: Journal Article
Publication: Structural health monitoring-an international journal
Publisher: Sage publications
Additional Information: Copyright for this article belongs to Sage publications.
Keywords: damage detection; fuzzy logic; modal curvature; measurement noise;inverse problem
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 31 Dec 2009 09:04
Last Modified: 31 Dec 2009 09:04
URI: http://eprints.iisc.ac.in/id/eprint/21462

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