Structural Engineering and Mechanics

  • 제61권6호
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  • Pages.807-816
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  • 2017
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Automated static condensation method for local analysis of large finite element models

  • Boo, Seung-Hwan (Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology) ;
  • Oh, Min-Han (Offshore Engineering Research Department, Hyundai Heavy Industries)
  • 투고 : 2017.01.27
  • 심사 : 2017.02.27
  • 발행 : 2017.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, we introduce an efficient new model reduction method, named the automated static condensation method, which is developed for the local analysis of large finite element models. The algebraic multilevel substructuring procedure is modified appropriately, and then applied to the original static condensation method. The retained substructure, which is the local finite element model to be analyzed, is defined, and then the remaining part of the global model is automatically partitioned into many omitted substructures in an algebraic perspective. For an efficient condensation procedure, a substructural tree diagram and substructural sets are established. Using these, the omitted substructures are sequentially condensed into the retained substructure to construct the reduced model. Using several large practical engineering problems, the performance of the proposed method is demonstrated in terms of its solution accuracy and computational efficiency, compared to the original static condensation method and the superelement technique.

키워드

과제정보

연구 과제 주관 기관 : KAIST

참고문헌

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피인용 문헌

  1. Towards improving the enhanced Craig-Bampton method vol.196, 2018, https://doi.org/10.1016/j.compstruc.2017.10.017
  2. A computational investigation and smooth-shaped defect synthesis for eddy current testing problems using the subregion finite element method pp.1432-2110, 2019, https://doi.org/10.1080/09349847.2018.1427819
  3. Structural modal reanalysis using automated matrix permutation and substructuring vol.69, pp.1, 2017, https://doi.org/10.12989/sem.2019.69.1.105
  4. 강성응축기법을 이용한 국부 비선형 정적 해석 vol.27, pp.1, 2017, https://doi.org/10.7837/kosomes.2021.27.1.193