Fracture and Structural Integrity e-ISSN 1971-8993 Open access
SI: Steels and Composites for Engineering Structures Vol. 16, No. 59 (2022)

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

Author and affiliation details
  • Cuong Le Thanh Corresponding author Faculty of Civil Engineering, Ho Chi Minh City Open University,Ho Chi Minh City, Viet Nam Cuong.lt@ou.edu.vn
  • 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
10.3221/IGF-ESIS.59.11
Pages
141-152
Published
Licence
CC BY 4.0
Published inVol. 16, No. 59 (2022)Go to the issue

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.

Keywords

Article history

  1. ReceivedUntil the next stage: 11 days
  2. Revision requestedUntil the next stage: 19 days
  3. RevisedUntil the next stage: 0 days
  4. AcceptedUntil the next stage: 95 days
  5. Published

How to cite

APA

Le Thanh, C., Sang-To, T., Hoang-Le, H.-L., Danh, T.-T., Khatir, S., & Wahab, M. A. (2021). Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame. Fracture and Structural Integrity, 16(59), 141–152. https://doi.org/10.3221/IGF-ESIS.59.11

IEEE

C. Le Thanh, T. Sang-To, H.-L. Hoang-Le, T.-T. Danh, S. Khatir, and M. A. Wahab, “Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame,” Fracture and Structural Integrity, vol. 16, no. 59, pp. 141–152, 2021, doi: 10.3221/IGF-ESIS.59.11.

MLA

Le Thanh, Cuong, et al. “Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame.” Fracture and Structural Integrity, vol. 16, no. 59, 2021, pp. 141–152. https://doi.org/10.3221/IGF-ESIS.59.11.

Chicago

Le Thanh, Cuong, Thanh Sang-To, Hoang-Le Hoang-Le, Tran-Thanh Danh, Samir Khatir, and Magd Abdel Wahab. 2021. “Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame.” Fracture and Structural Integrity 16 (59): 141–152. https://doi.org/10.3221/IGF-ESIS.59.11.

Harvard

Le Thanh, C., Sang-To, T., Hoang-Le, H.L., Danh, T.T., Khatir, S. and Wahab, M.A. (2021) ‘Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame’, Fracture and Structural Integrity, 16(59), pp. 141–152. doi: 10.3221/IGF-ESIS.59.11.

Vancouver

Le Thanh C, Sang-To T, Hoang-Le HL, Danh TT, Khatir S, Wahab MA. Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame. Fracture and Structural Integrity. 2021;16(59):141-152. doi:10.3221/IGF-ESIS.59.11

BibTeX

@article{lethanh2021, author = {Le Thanh, Cuong and Sang-To, Thanh and Hoang-Le, Hoang-Le and Danh, Tran-Thanh and Khatir, Samir and Wahab, Magd Abdel}, title = {Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame}, journal = {Fracture and Structural Integrity}, year = {2021}, volume = {16}, number = {59}, pages = {141--152}, doi = {10.3221/IGF-ESIS.59.11}, url = {https://doi.org/10.3221/IGF-ESIS.59.11}, issn = {1971-8993} }

RIS

TY - JOUR AU - Le Thanh, Cuong AU - Sang-To, Thanh AU - Hoang-Le, Hoang-Le AU - Danh, Tran-Thanh AU - Khatir, Samir AU - Wahab, Magd Abdel TI - Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2021 DA - 2021/12/22 VL - 16 IS - 59 SP - 141 EP - 152 DO - 10.3221/IGF-ESIS.59.11 UR - https://doi.org/10.3221/IGF-ESIS.59.11 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2021 Cuong Le Thanh, Thanh Sang-To, Hoang-Le Hoang-Le , Tran-Thanh Danh, Samir Khatir, Magd Abdel Wahab.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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