Structural Damage Detection Using Modal Curvature and Fuzzy Logic
Auteur(s): |
M. Chandrashekhar
Ranjan Ganguli |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, mars 2009, n. 4, v. 8 |
Page(s): | 267-282 |
DOI: | 10.1177/1475921708102088 |
Abstrait: |
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. |
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11.02.2021 - Modifié(e) le:
19.02.2021