Improving the model reduction method based on multilevel substructuring for structural dynamic analysis = 구조 동역학 해석을 위한 다중 레벨 부구조화법 기반 모델축소기법의 개선

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In this thesis, a new formulation of the enhanced automated multilevel substructuring method (EAMLS) is presented. To improve the computational efficiency, the major problems which required large computation time and computer memory are inspected and dealt with effectively. In the new formulations, an extended root substructure is defined by assembling the reduced higher level substructures, and reduced model is projected on a new refined subspace derived by extended root substructure. Then, the residual substructural modes correction computed by residual flexibility matrices of bottom substructures is performed only for the mass matrix, which gives rise to reduction of computational cost and required memory. In addition, the reduced mass and stiffness matrices are computed by submatrix level instead of global matrix. The solution accuracy and computational efficiency of the new formulation are demonstrated through several large FE models.
Advisors
Lee, Phill-Seungresearcher이필승researcher
Description
한국과학기술원 :기계공학과,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 기계공학과, 2018.2,[iii, 55 p. :]

Keywords

Structural dynamics▼aFinite element method▼aModel reduction▼aComponent mode synthesis▼aAutomated multilevel substructuring method▼aEigenvalue problem; 구조 동역학▼a유한요소법▼a모델 축소▼a부분 구조 합성법▼aAMLS 기법▼a고유치 문제

URI
http://hdl.handle.net/10203/265930
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=733764&flag=dissertation
Appears in Collection
ME-Theses_Master(석사논문)
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