A global optimization approach applied to structural dynamic updating

In this paper, the application of stochastic global optimization tech- niques, in particular the GlobalSearch and MultiStart solvers from MatLab®, to improve the updating of a structural dynamic model, are presented. For com- parative purposes, the efficiency of these global methods relatively to th...

Full description

Bibliographic Details
Main Author: Dourado, Marco (author)
Other Authors: Meireles, José F. (author), Rocha, Ana Maria A. C. (author)
Format: conferencePaper
Language:eng
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/1822/30835
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/30835
Description
Summary:In this paper, the application of stochastic global optimization tech- niques, in particular the GlobalSearch and MultiStart solvers from MatLab®, to improve the updating of a structural dynamic model, are presented. For com- parative purposes, the efficiency of these global methods relatively to the local search method previously used in a Finite Element Model Updating program is evaluated. The obtained solutions showed that the GlobalSearch and MultiStart solvers are able to achieve a better solution than the local solver previously used, in the updating of a structural dynamic model. The results show also that the GlobalSearch solver is more efficient than the MultiStart, since requires less computational effort to obtain the global solution.