Identification of impact load for composites using genetic algorithms

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

1 Citation (Scopus)

Abstract

This paper proposes a genetic algorithms-based approach for impact load identification of composite structure, which can identify the impact location and reconstruct the impact force history simultaneously. In this study, impact load identification is formulated as an optimization problem. Combining with a forward impact response model, genetic algorithms adaptively identifies the impact location and force history by minimizing the difference between the computed analytical responses and measured ones. To improve computational efficacy, a micro-genetic algorithms is adopted to accelerate convergence. Numerical simulation study demonstrates the effectiveness and applicability of the proposed method.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2007
Subtitle of host publicationQuantification, Validation, and Implementation - Proceedings of the 6th International Workshop on Structural Health Monitoring, IWSHM 2007
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages185-192
Number of pages8
ISBN (Electronic)9781932078718
Publication statusPublished - 2007
Event6th International Workshop on Structural Health Monitoring: Quantification, Validation, and Implementation, IWSHM 2007 - Stanford, United States
Duration: 2007 Sept 112007 Sept 13

Publication series

NameStructural Health Monitoring 2007: Quantification, Validation, and Implementation - Proceedings of the 6th International Workshop on Structural Health Monitoring, IWSHM 2007
Volume1

Other

Other6th International Workshop on Structural Health Monitoring: Quantification, Validation, and Implementation, IWSHM 2007
Country/TerritoryUnited States
CityStanford
Period07-09-1107-09-13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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