Smart Structures and Systems

  • 제23권1호
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  • Pages.45-60
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  • 2019
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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

An iterative method for damage identification of skeletal structures utilizing biconjugate gradient method and reduction of search space

  • Sotoudehnia, Ebrahim (Civil Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad) ;
  • Shahabian, Farzad (Civil Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad) ;
  • Sani, Ahmad Aftabi (Civil Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad)
  • 투고 : 2018.07.04
  • 심사 : 2018.12.26
  • 발행 : 2019.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper is devoted to proposing a new approach for damage detection of structures. In this technique, the biconjugate gradient method (BCG) is employed. To remedy the noise effects, a new preconditioning algorithm is applied. The proposed preconditioner matrix significantly reduces the condition number of the system. Moreover, based on the characteristics of the damage vector, a new direct search algorithm is employed to increase the efficiency of the suggested damage detection scheme by reducing the number of unknowns. To corroborate the high efficiency and capability of the presented strategy, it is applied for estimating the severity and location of damage in the well-known 31-member and 52-member trusses. For damage detection of these trusses, the time history responses are measured by a limited number of sensors. The results of numerical examples reveal high accuracy and robustness of the proposed method.

키워드

참고문헌

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