• Title/Summary/Keyword: 유한 요소 모델 개선

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A Study on Analysis Modeling of Column Bracket Set in Traditional Wood Structures (전통 목구조 주심포의 해석 모델링에 관한 연구)

  • Park, Kyoung-Hoon;Choi, Hyun-Hoon;Kim, Jin-Koo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2009.04a
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    • pp.275-278
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    • 2009
  • 전통 목구조 건축물은 크고 작은 부재가 많이 결구되어 있기 때문에 구조해석을 위한 모델링에 어려움이 있다. 기존에 제안된 모델링 기법은 모델링과 해석에 많은 시간이 필요하기 때문에 이를 개선할 수 있는 효율적인 방법이 필요하다. 본 연구에서는 전통 목구조 건축물 중 가장 많은 부재로 구성된 공포의 거동을 구현할 수 있으며 모델링과 해석에 소용되는 시간을 줄일 수 있는 모델링 기법을 제안하였다. 제안된 모델의 적합성을 확인하기 위하여 다양한 하중 재하 형태에 대한 유한요소 모델의 응답과 비교하였다. 해석결과에 따르면 제안된 모델의 응답은 유한요소해석결과와 10% 이내의 오차범위 안에 있어 공포의 해석시 보다 간편하게 활용할 수 있을 것이다.

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슬래브의 유연성을 고려한 집중질량 모델링방법의 개선에 관한 연구

  • 권영철;이상훈;김종수
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05d
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    • pp.346-351
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    • 1996
  • 현재 원전의 내진해석 절차에는 수직방향의 동적해석모델을 집중질량-보요소 모델로 나타내고 있으나, 층슬래브이 동적유연성을 합리적으로 고려할 수 있는 기준이 마련되어 있지 않다. 본 연구에서는 벽체로 지지된 4변고정 슬래브를 유한요소모델 및 집중질량모델로 이상화한 후 고유치해석 및 시간이력해석을 수행한 결과, 현재 층슬래브의 수직응답을 얻기 위해 통상적으로 사용되는 일련의 단자유도계 모델은 이에 상응하는 유한요소모델의 각 모드에 대한 평균응답밖에 주지 못함을 확인하였고, 각 모드 층슬래브의 최대응답을 얻기 위해서는 각 고유진동수가 최소한 이자유도계로 모델링되어야 하며, 이때 이자유도계에 분배할 질량 및 연결보의 강성크기가 각각 1:5와 1:6일때 잘 일치함을 확인하였다. 또한 이렇게 결정된 모델링 방법은 실제 전단벽 구조물의 해석을 통해 그 적용성이 입증되었다.

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Model Updating of Head Stack Assembly using Modal Tuning (모달 튜닝을 이용한 하드디스크 구동기의 모델 개선)

  • Lee, Jin-Koo;Kim, Dong-Woohn;Park, Young-Pil
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.11a
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    • pp.243-248
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    • 2000
  • 하드디스크의 트랙 밀도를 높이기 위해서는 충분한 서보대역을 갖는 액츄에이터를 개발하는 것이 필수적이다 이 논문에서는 액츄에이터의 동특성 중에서 서보대역을 제한하는 주된 요인을 알아보기 위해 실험 모드 해석과 유한 요소 해석을 수행하였다. 우선 액츄에이터를 구성하고 있는 VCM 코일, E 블럭, 서스펜션등의 부분계에 대한 유한 요소 해석을 수행하였고 모달 실험을 통해 이를 검증하였다. 검증된 각 부분계의 모델을 결합하여 한 개의 서스펜션을 갖는 액츄에이터 시스템의 유한 요소 모델을 개발하였고 이를 통해 서보 성능과 관계된 모달 파라미터들을 규명하였다.

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Evaluation of Bridge Load Carrying Capacity of PSC Girder Bridge using Pseudo-Static Load Test (의사정적재하시험을 이용한 PSC 거더교의 공용 내하력평가)

  • Yoon, Sang-Gwi;Shin, Soobong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.4
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    • pp.53-60
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    • 2019
  • In this study, a method for updating the finite element model of bridges with genetic algorithm using static displacement were presented, and verified this method using field test data for PSC girder bridge. As a field test, static load test and pseudo-static load test were conducted, and updated the finite element model of test bridge using each test data. Finally, evaluated the bridge load carrying capacity with updated model using pseudo-static load test's displacement data. To evaluate the bridge load carrying capacity, KHBDC-LSD, KHBDC and AASHTO LRFD's live load model were used, and compared the each results.

Finite Element Model Updating of Framed Structures Using Constrained Optimization (구속조건을 가진 최적화기법을 이용한 골조구조물의 유한요소모델 개선기법)

  • Yu, Eun-Jong;Kim, Ho-Geun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.11a
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    • pp.446-451
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    • 2007
  • An Improved finite element model updating method to address the numerical difficulty associated with ill-conditioning and rank-deficiency. These difficulties frequently occur in model updating problems, when the identification of a larger number of physical parameters is attempted than that warranted by the information content of the experimental data. Based on the standard Bounded Variables Least-squares (BVLS) method, which incorporates the usual upper/lower-bound constraints, the proposed method is equipped with new constraints based on the correlation coefficients between the sensitivity vectors of updating parameters. The effectiveness of the proposed method is investigated through the numerical simulation of a simple framed structure by comparing the results of the proposed method with those obtained via pure BVLS and the regularization method. The comparison indicated that the proposed method and the regularization method yield approximate solutions with similar accuracy.

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A Study on the F.E. Model Updating and Optimization for Vehicle Subframe (차량 서브프레임의 유한요소 모델의 개선 및 최적화에 대한 연구)

  • 허덕재;이근수;홍석윤;박태원
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.2
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    • pp.220-227
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    • 2002
  • This paper describes an integrated approach process to carry out pre-test, model correlation and updating analysis on the sub-frame of a vehicle. In this study, it was found that the modal test could be more efficient when the exciting point was selected on the area with high driving point residue. Such area could be located with the aid of finite element modal analysis. The model correlation was appraised in conjunction with the modal parameters between modal test and finite elements analysis. Also, the finite element model updating was obtained the good resultant using the iteration method based on sensitivity analysis results that carried out the variation of natural frequencies and MAC for the material properties. Finally, optimization of vehicle subframe was carried out the analysis of core location and physical properties by tow steps.

Study of a Mixed Finite Element Model for the Analysis of a Geometrically Nonlinear Plate (기하학적 비선형 판재 해석을 위한 혼합형 FE Model 연구)

  • Kim, Woo-Ram;Choi, Youn-Dae
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.10
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    • pp.1427-1435
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    • 2010
  • A mixed finite element model was developed using the classical plate theory to analyze the nonlinear bending of a plate. The appropriate weight functions for the constraints integrated over the domain were determined by the Lagrange multiplier method by using the principle of minimum virtual energy; which provides the constitutive relations between force-like variables and strains. All of detail terms of element wise coefficient matrices and associate tangent matrices to be used in the Newton iterative method are presented. Then, the linear solutions of the current model and those of the traditional displacement model under the SS (simple support) boundary conditions were compared with the existing analytical solution. The post-processed images of the nonlinear results of the force-like variables are presented to show the continuity of the solutions at the joint of the element boundaries. Finally, the converged nonlinear finite element solutions of the current model are compared with those of existing traditional displacement model.

Numerical Model Updating Based on Univariate Search Method for High Speed Railway Bridges (단변분 탐색법에 기초한 고속철도교량의 수치해석 모델 개선)

  • Park, Dong-Uk;Kim, Nam-Sik;Kim, Sung-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.1
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    • pp.17-27
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    • 2014
  • Numerical model became one of most important tools for identifying the state of an existing structure in accordance with development of numerical analysis techniques. A numerical model should be updated based on the measured responses from the existing structure to accurately use the model for identifying the state of the bridge and executing numerical experiments. In this study, a new model updating method based on repetition method without a differential function is introduced and applicability for high speed railway bridge is verified with dynamic stability analysis. A fine measurement based on measurement points roaming method was executed with an wireless measurement system for precise dynamic characteristic analysis. The natural frequencies and mode shapes were estimated by correlation analysis and a mode decomposition technique. An initial numerical model was constructed based on design drawings and the model have been updated in accordance with the introduced model updating method. The results from numerical experiment and field test have been compared for verifying the applicability of the model updating method. And the dynamic stability analysis has been executed to verify the usability of the updated numerical model and the model updating method. It seems that the model updating method can be used for various bridges after evaluation of applicability for other type bridges in further studies.

Information-Based Hybrid Modeling Framework on the Systematic use of Artificial Neural-Networks (구조모델 개선을 위한 정보기반 하이브리드 모델링 기법)

  • Kim, JunHee;Jamshid, Ghaboussi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.4
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    • pp.363-372
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    • 2012
  • In this study, a new information-based hybrid modeling framework is proposed. In the hybrid framework, a conventional mathematical model is complemented by the informational methods. The basic premise of the proposed hybrid methodology is that not all features of system response are amenable to mathematical modeling, hence considering informational alternatives. This may be because (i) the underlying theory is not available or not sufficiently developed, or (ii) the existing theory is too complex and therefore not suitable for modeling within building frame analysis. The role of informational methods is to model aspects that the mathematical model leaves out. Autoprogressive algorithm and self-learning simulation extract the missing aspects from a system response. In a hybrid framework, experimental data is an integral part of modeling, rather than being used strictly for validation processes. The potential of the hybrid methodology is illustrated through modeling complex hysteretic behavior of beam-to-column connections.

Finite Element Model Updating Using Satisficing Trade-off Method (Satisficing Trade-off 방법을 이용한 유한요소 모델 개선)

  • Kim, Gyeong-Ho;Park, Youn-Sik
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.295-300
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    • 2002
  • In conventional model updating using single-objective optimization techniques, incompatible physical data are compared with each other using weighting factors. There are no general rules for selecting the weighting factors since they are not directly related with the dynamic behavior of an updated model. So one of the most difficult tasks, in model updating study, is 'balancing among the correlations' i.e. 'trade-off'. In this work, a multiobjecitive optimization technique called 'satisficing trade-off method' is introduced to extremize several correlations simultaneously. The absurd need for the weighting factors can be avoided using this technique. And the updated model with the most appropriate correlations is obtained easily in interactive way. Especially automatic trade-off is employed to increase the rate of convergence to the desired model. Its effectiveness is verified by application to a real engineering problem, HDD cover model updating.

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