Paper
20 April 2012 Application of multi-objective optimization to structural damage estimation via model updating
Faisal Shabbir, Piotr Omenzetter
Author Affiliations +
Abstract
This paper presents a novel damage detection method which simultaneously updates the undamaged as well as damaged structure model in a multi-objective optimization (MOO) process. Structural health monitoring via analysis of modal data and model updating has received considerable attention in the previous decade. Such damage detection methods typically require an updated baseline model of the undamaged structure and the associated errors can become aggregated when this baseline model is subsequently used for damage detection. The use of multi-objective model updating alleviates those issues. A beam structure with and without damage has been used as an example and different noise levels have been added to the identified mode shapes. The results have been compared with single-objective model updating and it has been found that the proposed method is more efficient for accurate estimation of damage severity.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Faisal Shabbir and Piotr Omenzetter "Application of multi-objective optimization to structural damage estimation via model updating", Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83481C (20 April 2012); https://doi.org/10.1117/12.914765
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optimization (mathematics)

Damage detection

Chemical elements

Optical simulations

Beam shaping

Data modeling

Error analysis

Back to Top