• 소성∙가공
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• 제17권4호
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• pp.272-277
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• 2008

A constitutive equation of the electrical steel strip used for a raw material of transformer is proposed. The stress-strain behavior of electrical steel strip is quite different from that of common carbon steel and/or alloy steel. A series of tensile tests were performed with the specimens made from cold rolled strip. Several thicknesses of the strip were produced by a two-high (with upper and lower rolls) cold rolling pilot mill as reduction ratio increases from 10% to 90%. Its initial thickness of the strip was 2.5mm. Tensile specimens are cut out from the cold rolled strips. Mechanical properties of the steel are examined through rolling direction. Ramberg-Osgood model and the proposed equation are combined to describe the total behavior of stress-strain including instability region. The stress-strain curves calculated from the present constitutive equation are compared with those from experimentally obtained at each test condition of reduction ratios of specimen. Results show that the predicted stress-strain curves are in overall in a good agreement with measured ones.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1999년도 가을 학술발표회 논문집
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• pp.387-394
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• 1999

Artificial Neural Network (ANN) is a computational model inspired by the structure and operations of the brain. It is massively parallel system consisting of a large number of highly interconnected and simple processing units. The purpose of this paper is to verify the applicability of ANN to predict experimental results through the use of measured experimental data. Although there have been accumulated data based on hysteretic characteristics of structural element with cyclic loading tests, it is difficult to directly apply them for the analysis of elastic and plastic response. Thus, simple models with mathematical formula such as Bi-Linear Model, Ramberg-Osgood Model, Degrading Tri Model, Takeda Model, Slip type Model, and etc, have been used. To verify the practicality and capability of this study, ANN is adapted to several models with mathematical formula using numerical data To show the efficiency of ANN in nonlinear analysis, it is important to determine the adequate input and output variables of hysteretic models and to minimize an error in ANN process. The application example is Beam-Column joint test using the ANN in modeling of the linear and nonlinear hysteretic behavior of structure.

• 한국지진공학회논문집
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• 제12권1호
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• pp.43-55
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• 2008

비틂시험에서 전단탄성계수와 감쇠비에 상응하는 변형률 산정의 복잡성은 여러 방법에 의하여 해결되어 왔다. 특히, 수정 등가반경법은 공진주/비틂전단 시험의 모든 변형률 영역에서 변형률에 따른 등가반경비 곡선을 보다 효과적으로 나타내는데 적합하다. 감쇠비 산정시 수정 등가반경법을 쌍곡선 모델, 수정 쌍곡선 모델, 램버그오스굿 모델등에 적용시켜 보았다. 연구결과는 감쇠비 산정시 재래식 등가반경법에 의한 하나의 등가반경 수치를 사용하는 것은 적절치 않다는 것을 보여주었다. 이력감쇠뿐 아니라 미소변형률 영역에서의 흙의 감쇠 현상을 고려하기 위하여 새로운 모델이 개발되었고, 이러한 두 가지 복합감쇠에 상응하는 변형률 산정시 부가적 조정이 필요한지 검토해 보았다.