Identification of structural parameters based on symbolic time series analysis and differential evolution strategy

Rongshuai Li, Akira Mita, Jin Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel symbolization strategy, "dynamic" strategy, of symbolization state series analysis (STSA) is employed in symbolization-based differential evolution strategy (SDES) to alleviate the effects of harmful noise. Procedure of "dynamic" strategy is described, effect of parameters in "dynamic" is verified, cases of partial output are considered. Performance of the proposed methodology was numerically compared with other symbolization strategies. Particle swarm optimization (PSO) and differential evolution (DE) on raw acceleration data are used as comparison to show the good noise immunity of our proposed methodology. These simulations revealed that our proposed methodology is a powerful tool for identifying the unknown parameters of structural systems even when the data is contaminated with relatively large amounts of noise.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
DOIs
Publication statusPublished - 2013 Jun 12
Event2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013 - San Diego, CA, United States
Duration: 2013 Mar 102013 Mar 14

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8692
ISSN (Print)0277-786X

Other

Other2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period13/3/1013/3/14

Keywords

  • Building structures
  • Differential evolution
  • Dynamic strategy
  • Structural health monitoring
  • Symbolic time series analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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