Please use this identifier to cite or link to this item:
http://hdl.handle.net/11452/22881
Title: | Structural damage detection using modal parameters and particle swarm optimization |
Authors: | Yıldız, Ali Rıza Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü. 0000-0003-3070-6365 Gökdağ, Hakan F-3233-2016 23012197200 |
Keywords: | Materials science Crack detection Design Algorithm Sensitivity Finite element method Modal analysis Optimization Particle swarm optimization (PSO) Stiffness Structural analysis Structural optimization Engineering structures Modal parameters Objective functions Optimization approach Particle swarm optimization algorithm Structural damage detection Structural elements Timoshenko beams Damage detection |
Issue Date: | 2012 |
Publisher: | Walter de Gruyter Gmbh |
Citation: | Gökdağ, H. ve Yıldız, A. R. (2012). "Structural damage detection using modal parameters and particle swarm optimization". Materials Testing, 54(6), 416-420. |
Abstract: | Vibration based on structural damage detection (DD) is an important subject in many fields of engineering. Detection of possible damage locations before destructive stiffness losses in the engineering structures occur, is a main goal of DD. This paper describes the damage detection in structural elements by means of Particle Swarm Optimization algorithm (PSO). In this regard, the finite element model of a Timoshenko beam is considered, and damage is assumed as a stiffness loss in some elements. Damage locations and extents are identified minimizing some well-known modal parameter based objective functions. It is concluded that modal flexibility is the best among the considered damage indexes. Also, the results show that PSO is an effective optimization approach in structural damage detection. |
URI: | https://doi.org/10.3139/120.110346 https://www.degruyter.com/document/doi/10.3139/120.110346/html http://hdl.handle.net/11452/22881 |
ISSN: | 0025-5300 |
Appears in Collections: | Scopus Web of Science |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.