Finite element model updating using evolutionary optimization methods

Tshilidzi Marwala, Lungile Mdlazi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes particle swarm optimization method and response surface method based on genetic algorithm for finite element model updating. These proposed methods are compared to existing finite element model updating approaches, which use simulated annealing and genetic algorithm. The proposed methods are tested on a simple beam and an unsymmetrical H-shaped structure. It is observed that on average the particle swarm optimization method gave the most accurate results. They were followed by simulated annealing, then the genetic algorithm and lastly the response surface method. The response surface method, however, was found to be more computationally efficient than the other three methods.

Original languageEnglish
Title of host publicationIMAC-XXIII
Subtitle of host publicationConference and Exposition on Structural Dynamics - Structural Health Monitoring
Publication statusPublished - 2005
Externally publishedYes
Event23rd Conference and Exposition on Structural Dynamics 2005, IMAC-XXIII - Orlando, FL, United States
Duration: 31 Jan 20053 Feb 2005

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Conference

Conference23rd Conference and Exposition on Structural Dynamics 2005, IMAC-XXIII
Country/TerritoryUnited States
CityOrlando, FL
Period31/01/053/02/05

ASJC Scopus subject areas

  • General Engineering
  • Computational Mechanics
  • Mechanical Engineering

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