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Journal of mechanical science and technology v.22 no.2, 2008년, pp.255 - 268   피인용횟수: 2

Improvement of sub structuring reduction technique for large eigenproblems using an efficient dynamic condensation method

Choi, Dong-Soo    (School of Mechanical and Aerospace Engineering, Seoul National Univ.   ); Kim, Hyun-Gi    (School of Mechanical and Aerospace Engineering, Seoul National Univ.   ); Cho, Maeng-Hyo    (School of Mechanical and Aerospace Engineering, Seoul National Univ.  );
  • 초록

    An accelerated substructuring reduction procedure for the iterated improved reduced system (IIRS) method is proposed. The iterated IIRS method can be combined with a substructuring scheme to provide an efficient methodology for large-scale eigenvalue problems. Not only can it reduce eigenvalue analysis errors through successive iterations, but the accuracy of the eigenanalysis is not sensitive to the selected master degrees of freedom. In practical structural eigenproblems, reducing the number of iterations can save a great deal of computation cost. The present substructuring technique modifies the iterative form of the transformation matrices in each substructure to achieve faster convergence. Applications of the present method to two numerical examples demonstrate that the proposed method can obtain lower eigensolutions of structures more accurately and efficiently, as compared with those of the current substructuring technique.


  • 주제어

    Dynamic condensation method .   Iterated IRS (IIRS) method .   Substructuring technique.  

  • 참고문헌 (22)

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  • 이 논문을 인용한 문헌 (2)

    1. 2009. "" Journal of mechanical science and technology, 23(10): 2694~2702     
    2. 2016. "" Structural engineering and mechanics : An international journal, 57(5): 921~936     

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