• Structural Engineering and Mechanics
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• 제43권3호
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• pp.273-285
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• 2012

Structural reanalysis is frequently used to reduce the computational cost during the process of design or optimization. The supports can be regarded as the design variables in various types of structural optimization problems. The location, number, and type of supports may be varied in order to yield a more effective design. The paper is focused on structural static reanalysis problem with added supports where some node displacements along axes of the global coordinate system are specified. A new approach is proposed and exact solutions can be provided by the approach. Thus, it belongs to the direct reanalysis methods. The information from the initial analysis has been fully exploited. Numerical examples show that the exact results can be achieved and the computational time can be significantly reduced by the proposed method.

• Structural Engineering and Mechanics
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• 제52권6호
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• pp.1121-1134
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• 2014

Structural design is usually an optimization process. Numerous parameters such as the member shapes and sizes, the elasticity modulus of material, the locations of nodes and the support constraints can be selected as design variables. These variables are progressively revised in order to obtain a satisfactory structure. Each modification requires a fresh analysis for the displacements and stresses, and reanalysis can be employed to reduce the computational cost. This paper is focused on static reanalysis problem with modification of deleting some supports. An efficient reanalysis method is proposed. The method makes full use of the initial information and preserves the ease of implementation. Numerical examples show that the calculated results of the proposed method are the identical as those of the direct analysis, while the computational time is remarkably reduced.

• Structural Engineering and Mechanics
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• 제62권3호
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• pp.297-302
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• 2017

Structural reanalysis is frequently utilized to reduce the computational cost so that the process of design or optimization can be accelerated. The supports can be regarded as the design variables and may be modified in various types of structural optimization problems. The location, number, and type of supports can make a great impact on the performance of the structure. This paper presents a unified method for structural static reanalysis with imposition or relaxation of some support constraints. The information from the initial analysis has been fully utilized and the computational time can be significantly reduced. Numerical examples are used to validate the effectiveness of the proposed method.

• 한국공간구조학회:학술대회논문집
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• 한국공간구조학회 2006년도 춘계 학술발표회 논문집 제3권1호(통권3호)
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• pp.175-181
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• 2006

This paper presents an efficient reanalysis algorithm, named PRAS (Partial Reanalysis algorithm using Adaptable Substructuring), for the partially changed structures. The algorithm recalculates directly any displacement or member force under consideration in real time without a full reanalysis in spite of local changes in member stiffness or connectivity. The key procedures consists of 1) partitioning the whole structure into the changed part and the unchanged part, 2) condensing the internal degrees of freedom and forming the unchanged part substructure, 3) assembling and solving the new stiffness matrix from the unchanged part substructure and the changed members.

• 한국전산구조공학회논문집
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• 제17권4호
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• pp.459-467
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• 2004

본 연구에서는 부분적 강성 변경이 연속적으로 필요한 경우, 전체 구조물을 재해석하지 않고도 관심을 두고 있는 변위와 부재력을 실시간 응답 수준에서 재계산할 수 있는 "적응형 부구조물화를 이용한 부분 재해석 알고리즘"을 제안한다. PRAS 알고리즘의 핵심 개념은, 1) 대상 구조물을 강성변경부분과 강성고정부분으로 구분하고, 2) 강성고정부분을 강성변경부재들이 연결된 잔류자유도만을 갖는 부구조물로 응축한 후, 3) 강성변경부재들과 강성고정부분 부구조물의 결합으로 전체 구조물을 모델랑함으로써, 최종 평형방정식의 잔류자유도수를 줄이는 데에 있다. 이 때 강성고정부분의 부구조물화 과정에서 본 연구에서 제시하는 또 하나의 알고리즘인 "적응형 부구조물화 알고리즘"을 적용하여 일단 초기 해석이 완료된 후에는 잔류자유도 구성이 달라질 때 다시 부구조물화에 소요되는 계산량을 최소화하였다.

• Structural Engineering and Mechanics
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• 제37권5호
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• pp.475-487
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• 2011

In a flexible multi-body dynamic system the typical topological optimization method for structures cannot be directly applied, as the stiffness varies with position. In this paper, the topological optimization of the flexible multi-body dynamic system is converted into structural optimization using the equivalent static load method. First, the actual boundary conditions of the control system and the approximate stiffness curve of the mechanism are obtained from a flexible multi-body dynamical simulation. Second, the finite element models are built using the absolute nodal coordination for different positions according to the stiffness curve. For efficiency, the static reanalysis method is utilized to solve these finite element equilibrium equations. Specifically, the finite element equilibrium equations of key points in the stiffness curve are fully solved as the initial solution, and the following equilibrium equations are solved using a reanalysis method with an error controlled epsilon algorithm. In order to identify the efficiency of the elements, a non-dimensional measurement is introduced. Finally, an improved evolutional structural optimization (ESO) method is used to solve the optimization problem. The presented method is applied to the optimal design of a die bonder. The numerical results show that the presented method is practical and efficient when optimizing the design of the mechanism.

• 한국전산구조공학회논문집
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• 제19권3호
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• pp.303-312
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• 2006

본 연구에서는 요소의 추가 및 제거 또는 부분적인 강성 변경이 있을 때, 이러한 강성 변경이 전체 구조물의 거동에 미치는 영향을 하중으로 표현한 강성등가하중을 제안한다. 강성등가하중에 의한 재해석은 초기 구조물을 대상으로 하므로 이미 계산된 강성행렬 및 역행렬을 다시 사용할 수 있어 재해석 효율을 크게 향상시킬 수 있다. 본 논문에서는 강성등가하중의 개념을 정의하고 간단한 병렬 스프링 구조물을 이용하여 강성등가하중 산정 가능성에 대하여 우선 기술한다. 다음으로 일반적인 골조 구조물에서 강성 변경에 대한 강성등가하중 산정 절차를 제안하고, 마지막으로 몇몇 강성 변경 사례에 대한 강성등가하중 산정 및 해석결과를 제시함으로써 제안된 기법을 검증한다. 강성등가하중은 향후 비선형해석, 구조물 거동및 응력 제어 등 다양한 문제에 활용될 수 있을 것으로 기대된다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.467-472
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• 2006

The purpose of this paper is to check the structural safety of the network equipments by performing the static and dynamic finite element analysis. The stress and displacement of structures under static loading condition are evaluated to check whether satisfying the design requirement conditions. Since the computed natural frequencies are similar to the results of experiment. the model could be used for the response spectrum analysis where experimental acceleration value at each frequency are used as seismic input excitation. It is shown that the analysis results are a little bit larger than that of the experimental values. Also sensitivity analysis and optimization for the natural frequency are performed and it is found that the first natural frequency is very sensitive to the stiffness of the equipment.

• 대한조선학회논문집
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• 제29권2호
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• pp.123-131
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• 1992

선체구조 설계과정에서, 초기 구조설계를 마치면 구조해석을 하게되고, 그 결과가 설계 기준을 만족시키지 못하면 설계를 수정하고, 다시 구조해석을 행하게 된다. 이때, 구조물의 일부분에만 수정이 가해졌을 경우, 전체 구조물을 다시 구조 해석하는 것은 매우 비효율적이다. 수정하기전 구조물의 구조해석 과정에서 얻은 값들을 이용하여 수정된 구조물의 해석 효율을 높이는 것을 재해석이라 하는데, 이에는 여러 기법들이 있다. 이 재해석 기법들 중 어느 특정한 기법이 모든 경우에 대해 높은 효율을 보이는 것은 아니므로, 본 논문에서는 먼저 여러 기법의 효율을 비교하였다. 또한 민감도 해석 결과를 이용하여 설계변수의 수정량을 결정하고, 재해석 기법을 사용하여 부재치수를 결정하는 재설계 과정이 선체 횡늑골을 예제로 하여 소개된다.

• 동력기계공학회지
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• 제5권4호
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• pp.82-89
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• 2001

To design a structural or a mechanical system with the best performance, the main procedure of a typical design usually consists of repeated modifications of design parameters and the investigation of the system response for each set of these parameters. But this procedure requires much time, effort and experience. Sensitivity analysis can provide systematic information for improving performance of a system. The author has studied on the development of the structural analysis algorithm and suggested recently the transfer stiffness coefficient method(TSCM). This method is very suitable algorithm to a personal computer because the concept of the TSCM is based on the transfer of the nodal stiffness coefficients which are related to force and displacement vectors at each node. In this paper, a new sensitivity analysis algorithm using the concept of the TSCM is formulated for the computation of state variable sensitivity in static problems. The trust of the proposed algorithm is confirmed through the comparison with the computation results using existent sensitivity analysis algorithm and reanalysis for computation models.