Smart Structures and Systems

  • 제19권4호
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  • Pages.449-461
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  • 2017
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

A novel heuristic search algorithm for optimization with application to structural damage identification

  • Nobahari, Mehdi (Department of Civil Engineering, University of Sistan and Baluchestan) ;
  • Ghasemi, Mohammad Reza (Department of Civil Engineering, University of Sistan and Baluchestan) ;
  • Shabakhty, Naser (School of Civil Engineering, University of Science and Technology)
  • 투고 : 2016.07.01
  • 심사 : 2017.02.24
  • 발행 : 2017.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

One of the most recent methods of structural damage identification is using the difference between structures responses after and before damage occurrence. To do this one can formulate the damage detection problem as an inverse optimization problem where the extents of damage in each element are considered as the optimizations variables. To optimize the objective function, heuristic methods such as GA, PSO etc. are widely utilized. In this paper, inspired by animals such as bat, dolphin, oilbird, shrew etc. that use echolocation for finding food, a new and efficient method, called Echolocation Search Algorithm (ESA), is proposed to properly identify the site and extent of multiple damage cases in structural systems. Numerical results show that the proposed method can reliably determine the location and severity of multiple damage cases in structural systems.

키워드

참고문헌

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피인용 문헌

  1. Enhanced optimization-based structural damage detection method using modal strain energy and modal frequencies 2017, https://doi.org/10.1007/s00366-017-0563-5
  2. Iterative two-stage approach for identifying structural damage by combining the modal strain energy decomposition method with the multiobjective particle swarm optimization algorithm vol.26, pp.2, 2019, https://doi.org/10.1002/stc.2301
  3. Structural damage identification based on gray cloud rule generator algorithm vol.11, pp.1, 2019, https://doi.org/10.1177/1687814018819904
  4. Truss structure damage identification using residual force vector and genetic algorithm vol.25, pp.4, 2017, https://doi.org/10.12989/scs.2017.25.4.485
  5. Optimization-based method for structural damage detection with consideration of uncertainties- a comparative study vol.22, pp.5, 2017, https://doi.org/10.12989/sss.2018.22.5.561
  6. A fast and robust procedure for optimal detail design of continuous RC beams vol.24, pp.4, 2019, https://doi.org/10.12989/cac.2019.24.4.313
  7. Structural damage assessment with incomplete and noisy modal data using model reduction technique and LAPO algorithm vol.15, pp.11, 2017, https://doi.org/10.1080/15732479.2019.1624785
  8. Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization vol.25, pp.3, 2017, https://doi.org/10.12989/sss.2020.25.3.345
  9. A fast damage detecting technique for indeterminate trusses vol.75, pp.5, 2017, https://doi.org/10.12989/sem.2020.75.5.585
  10. A Novel Optimization Algorithm Based on Modal Force Information for Structural Damage Identification vol.21, pp.7, 2021, https://doi.org/10.1142/s0219455421501005