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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.8 No.4
- 발행연도
- 2008.12
- 수록면
- 264 - 269 (6page)
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초록· 키워드
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In this paper, two neural networks as a material model, which are based on the state-space method, have been proposed. One outputs the rates of inelastic strain and material internal variables whereas the outputs of the other are the next state of the inelastic strain and material internal variables. Both the neural networks were trained using input-output data generated from Chaboche's model and successfully converged. The former neural network could reproduce the original stress-strain curve. The neural network also demonstrated its ability of interpolation by generating untrained curve. It was also found that the neural network can extrapolate in close proximity to the training data.
목차
Abstract
1. Introduction
2. State-Space Method
3. State Space Representation of Material Behaviors
4. Numerical Examples
5. Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2009-028-018379845