Topology optimization for robust damage localization using aggregated FRFs statistical criteria.

Abstract : This work focuses on the development of a damage localization tool using Topology Op- timization (TO) as a solver for the inverse problem of localization. This approach is based on the correlation of a local stiffness loss and the change in frequencies due to damages. We use the loss in stiffness for updating undamaged numerical models towards similar models with embedded damages. This work is an extension of past work and aims at increasing the detectability of the method using using aggregated Frequency Response Functions (FRFs) statistical criteria. Good results have finally been achieved for the localization of close damages by the Topology Optimization method.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01851563
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Monday, July 30, 2018 - 2:19:42 PM
Last modification on : Monday, April 29, 2019 - 4:23:57 PM
Long-term archiving on : Wednesday, October 31, 2018 - 1:12:40 PM

File

Morlier_12276.pdf
Files produced by the author(s)

Identifiers

Citation

Joseph Morlier, Hanno Niemann, Amir Shahdin. Topology optimization for robust damage localization using aggregated FRFs statistical criteria.. Journal of Applied Mechanics and Materials, 2014, 629, pp.513-518. ⟨10.4028/www.scientific.net/AMM.629.513⟩. ⟨hal-01851563⟩

Share

Metrics

Record views

33

Files downloads

22