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Automated Procedure for FE-based Modular Analysis of Biomolecular Structures ; 유한요소기반 생체분자구조물 모듈화 해석의 자동화 기법

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  • معلومة اضافية
    • Contributors:
      김도년; 공과대학 기계항공공학부
    • بيانات النشر:
      서울대학교 대학원
    • الموضوع:
      2016
    • Collection:
      Seoul National University: S-Space
    • الموضوع:
      621
    • نبذة مختصرة :
      학위논문 (석사)-- 서울대학교 대학원 : 기계항공공학부, 2016. 2. 김도년. ; Dynamic behavior of biomolecular structures plays an essential role in a variety of way in living organism. Molecular dynamics simulation provide valuable information about dynamic characteristic of biomolecular structure but time and length scale have limits due to computational complexity. Therefore, coarse-grained modeling techniques such as elastic network model and finite element model have been successfully used for analysis of dynamic properties of biomolecular structures. However, analysis of biomolecular structure which have high molecular weight is still challenging even using these coarse-grained modeling approaches due to its huge number of DOFs. In order to handle this problem, I introduce component mode synthesis (CMS) that is a popular reduced order modeling technique to generate reduced model. Reduced model consist of subunits whose dynamics is dominated by low frequency normal modes of substructure. In this study I suggest an automated procedure for FE-based dynamic analysis of biomolecular structures applying the Craig-Bampton method, a widely used CMS, and relative eigenvalue estimator to determine the proper number of low-frequency normal mode dominating dynamics of biomolecular structures. ; 1. Introduction 1 2. Method 6 2.1. Generation of the biomolecular FE model 7 2.2. Dynamic analysis using the biomolecular FE model 9 2.3. Component mode synthesis: Craig-Bampton method 11 2.4. Estimation of eigenvalue errors 14 2.5. Automated model reduction and solution procedure 17 3. Analysis and Results 18 3.1. Biomolecular structures for analysis 19 3.2. Performance of the error estimator 23 3.3. Eigensolutions 25 3.4. Computational efficiency 29 4. Conclusion 31 Tables 33 Figures 36 References 67 Abstract (Korean) 72 ; Master
    • File Description:
      application/pdf; 10119868 bytes
    • Relation:
      000000132203; http://hdl.handle.net/10371/123861
    • الرقم المعرف:
      edsbas.EB2B2D3