Damage Detection Technique for Cold-Formed Steel Beam Structure Based on NSGA-II

Byung Kwan Oh, Se Woon Choi, Hyo Seon Park

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Cold-formed steel is uniform in quality, suitable for mass production, and light in weight. It is widely used for both structural and nonstructural members in buildings. When it is used in a bending structural member, damage such as local buckling is considered to be more important than general steel members in terms of failure mode. However, preceding studies on damage detection did not consider the failure characteristics of cold-formed beam members. Hence, this paper proposes a damage detection technique that considers the failure mode of local buckling for a cold-formed beam member. The differences between the dynamic characteristics from vibration-based measurements and those from finite element model are set to error functions. The error functions are minimized by the optimization technique NSGA-II. In the damage detection, the location of local damage and the severity of damage are considered variables. The proposed technique was validated through a simulation of damage detection for a cold-formed steel beam structure example.

Original languageEnglish
Article number354564
JournalShock and Vibration
Volume2015
DOIs
Publication statusPublished - 2015 Jan 1

Fingerprint

Damage detection
steel
steels
damage
Steel
Failure modes
Buckling
structural members
error functions
failure modes
buckling
Structural members
detection
cold
dynamic characteristics
vibration
optimization
simulation

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Condensed Matter Physics
  • Geotechnical Engineering and Engineering Geology
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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Damage Detection Technique for Cold-Formed Steel Beam Structure Based on NSGA-II. / Oh, Byung Kwan; Choi, Se Woon; Park, Hyo Seon.

In: Shock and Vibration, Vol. 2015, 354564, 01.01.2015.

Research output: Contribution to journalArticle

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