Vibration-based damage detection in beams using genetic algorithm SCIE SCOPUS KCI OTHER

Cited 23 time in WEB OF SCIENCE Cited 26 time in Scopus
Title
Vibration-based damage detection in beams using genetic algorithm
Author(s)
Kim, Jeong-Tae; Park, Jae-Hyung; Yoon, Han-Sam; Yi, Jin-Hak
KIOST Author(s)
Yi, Jin Hak(이진학)
Publication Year
2007-07
Abstract
In this paper, an improved GA-based damage detection algorithm using a set of combined modal features is proposed. Firstly, a new GA-based damage detection algorithm is formulated for beam-type structures. A schematic of the GA-based damage detection algorithm is designed and objective functions using several modal features are selected for the algorithm. Secondly, experimental modal tests are performed on free-free beams. Modal features such as natural frequency, mode shape, and modal strain energy are experimentally measured before and after damage in the test beams. Finally, damage detection exercises are performed on the test beam to evaluate the feasibility of the proposed method. Experimental results show that the damage detection is the most accurate when frequency changes combined with modal strain-energy changes are used as the modal features for the proposed method.
ISSN
1738-1584
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/4676
DOI
10.12989/sss.2007.3.3.263
Bibliographic Citation
SMART STRUCTURES AND SYSTEMS, v.3, no.3, pp.263 - 280, 2007
Publisher
TECHNO-PRESS
Subject
STRUCTURAL DAMAGE; NEURAL-NETWORKS; IDENTIFICATION; BRIDGE
Keywords
genetic algorithm; damage detection; vibration-based; natural frequency; modal strain-energy; free-free beam
Type
Article
Language
English
Document Type
Article; Proceedings Paper
Publisher
TECHNO-PRESS
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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