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Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame

Authors

  • Cuong Le Thanh Faculty of Civil Engineering, Ho Chi Minh City Open University,Ho Chi Minh City, Viet Nam
  • Thanh Sang-To Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City, Viet Nam
  • Hoang-Le Hoang-Le Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City, Viet Nam
  • Tran-Thanh Danh Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City, Viet Nam
  • Samir Khatir Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052, Zwijnaarde, Belgium
  • Magd Abdel Wahab Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052, Zwijnaarde, Belgium

DOI:

https://doi.org/10.3221/IGF-ESIS.59.11

Keywords:

IPSO, Eagle strategy, damage detection, Inverse problem

Abstract

Modality and intermittent search strategy in combination with an Improve Particle Swarm Optimization algorithm (IPSO) to detect damage structure via using vibration analysis basic principle of a decline stiffness matrix a structure is presented in the study as a new technique. Unlike an optimization problem using a simplistic algorithm application, the combination leads to promising results. Interestingly, the PSO algorithm solves the optimal problem around the location determined previously. In contrast, Eagle Strategy (ES) is the charging of locating the position in intermittent space for the PSO algorithm to search locally. ES is easy to deal with its problem via drastic support of Levy flight. As known, the PSO algorithm has a fast search speed, yet the accuracy of the PSO algorithm is not as good as expected in many problems. Meanwhile, the combination is powerful to solve two problems: 1) avoiding local optimization, and 2) obtaining more accurate results. The paper compares the results obtained from the PSO algorithm with the combination of IPSO and ES for some problems and between experiment and FEM to demonstrate its effectiveness. Natural frequencies are used in the objective function to solve this optimization problem. The results show that the combination of IPSO and ES is quite effective.

Issue

Section

SI: Steels and Composites for Engineering Structures

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