Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: A hybrid particle swarm optimization (PSO)-simplex algorithm for damage identification of delaminated beams
Authors: Qian, X
Cao, M
Su, Z 
Chen, J
Issue Date: 2012
Source: Mathematical problems in engineering, 2012, v. 2012, 607418, p. 1-11
Abstract: Delamination is a type of representative damage in composite structures, severely degrading structural integrity and reliability. The identification of delamination is commonly treated as an issue of nondestructive testing. Differing from existing studies, a hybrid optimization algorithm (HOA), combining particle swarm optimization (PSO) with simplex method (SM), is proposed to identify delamination in laminated beams. The objective function of the optimization problem is created using delamination variables (optimization parameters) together with actually measured modal frequencies. The HOA adopts a hierarchical and cooperative regime of global search and local search to optimize the objective function. The PSO performs global search for objective function space to achieve a preliminary solution specifying a local potential space. Initialized by this preliminary solution, the SM executes local search for the local potential space to explore the optimal solution. The HOA is validated by a series of simulated delamination scenarios, and the results show that it can identify delamination in laminated beams with decent accuracy, reliability and efficiency. The method proposed holds promise for establishing online damage detection system beneficial for health monitoring of laminated composite structures.
Publisher: Hindawi Publishing Corporation
Journal: Mathematical problems in engineering 
ISSN: 1024-123X
EISSN: 1563-5147
DOI: 10.1155/2012/607418
Rights: Copyright © 2012 Xiangdong Qian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Qian_Hybrid_Particle_Swarm.pdf2.8 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of May 28, 2023


Citations as of May 28, 2023


Last Week
Last month
Citations as of May 25, 2023


Last Week
Last month
Citations as of May 25, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.