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이규세,Yi, Gyu-Sei Korean Society for Advanced Composite Structures 2014 복합신소재학회논문집 Vol.5 No.4
A progressive failure analysis procedure for composite laminates is completed in here. An anisotropic plastic constitutive model for fiber-reinforced composite material is implemented into computer program for a predictive analysis procedure of composite laminates. Also, in order to describe material behavior beyond the initial yield, the anisotropic work-hardening model and subsequent yield surface are implemented into a computer code, which is Predictive Analysis for Composite Structures (PACS). The accuracy and efficiency of the anisotropic plastic constitutive model and the computer program PACS are verified by solving a number of various fiber-reinforced composite laminates with and without geometric discontinuity. The comparisons of the numerical results to the experimental and other numerical results available in the literature indicate the validity and efficiency of the developed model.
이규세,Yi, Gyu-Sei Korean Society for Advanced Composite Structures 2014 복합신소재학회논문집 Vol.5 No.4
A progressive failure analysis procedure for composite laminates is developed in here and in the companion paper. An anisotropic plastic constitutive model for fiber-reinforced composite material, is developed, which is simple and efficient to be implemented into computer program for a predictive analysis procedure of composites. In current development of the constitutive model, an incremental elastic-plastic constitutive model is adopted to represent progressively the nonlinear material behavior of composite materials until a material failure is predicted. An anisotropic initial yield criterion is established that includes the effects of different yield strengths in each material direction, and between tension and compression. Anisotropic work-hardening model and subsequent yield surface are developed to describe material behavior beyond the initial yield under the general loading condition. The current model is implemented into a computer code, which is Predictive Analysis for Composite Structures (PACS), and is presented in the companion paper. The accuracy and efficiency of the anisotropic plastic constitutive model are verified by solving a number of various fiber-reinforced composite laminates with and without geometric discontinuity. The comparisons of the numerical results to the experimental and other numerical results available in the literature indicate the validity and efficiency of the developed model.
이규세,Yi. Gyu-Sei 한국방재학회 2011 한국방재학회논문집 Vol.11 No.4
In this study, a bond model, which is used to evaluate the behavior of the steel-concrete decks, is proposed. The load-end slip relation in the proposed model is formulated by Newmark theory. The steel-concrete decks are analyzed by finite element analysis with the aid of the proposed bond model. In the finite element analysis, the shear connectors between the steel plate and the concrete are modeled by a number of spring elements. The results of the finite element analysis with the proposed bond model are fairly correlated with the experimental results of the full-size model. This study furthermore indicates that, if the proposed bond model is properly used in the analysis of steel-concrete composite deck, the behavior of the composite deck can be easily analyzed without the aid of the full-size experiment. 본 논문은 강-콘크리트 합성바닥판의 구조적 거동을 간략하게 예측할 수 있도록 부착 모델을 제시하였다. 제안한 부착모델의 단부 슬립 관계는 Newmark 이론을 이용하여 유도되었다. 제안한 부착모델을 이용하여 강-콘크리트 합성바닥판의 유한요소 구조해석을 실시하였다. 유한요소해석에서 콘크리트와 강바닥판 사이의 전단연결재는 스프링요소를 사용하여 모델링하였다. 제안한 부착모델을 이용한 유한요소해석 결과와 실물모형 실험결과는 매우 일치하였다. 따라서, 본 연구 결과는 제안된 부착모델을 적절히 사용한다면 강-콘크리트 합성바닥판의 거동을 실물모형실험 없이도 예측할 수 있음을 보였다.
이규세 ( Gyu Sei Yi ) 한국복합신소재구조학회 2014 복합신소재구조학회논문집 Vol.5 No.4
A progressive failure analysis procedure for composite laminates is completed in here. An anisotropic plastic constitutive model for fiber-reinforced composite material is implemented into computer program for a predictive analysis procedure of composite laminates. Also, in order to describe material behavior beyond the initial yield, the anisotropic work-hardening model and subsequent yield surface are implemented into a computer code, which is Predictive Analysis for Composite Structures (PACS). The accuracy and efficiency of the anisotropic plastic constitutive model and the computer program PACS are verified by solving a number of various fiber-reinforced composite laminates with and without geometric discontinuity. The comparisons of the numerical results to the experimental and other numerical results available in the literature indicate the validity and efficiency of the developed model.
이규세 ( Gyu Sei Yi ) 한국복합신소재구조학회 2014 복합신소재구조학회논문집 Vol.5 No.4
A progressive failure analysis procedure for composite laminates is developed in here and in the companion paper. An anisotropic plastic constitutive model for fiber-reinforced composite material, is developed, which is simple and efficient to be implemented into computer program for a predictive analysis procedure of composites. In current development of the constitutive model, an incremental elastic-plastic constitutive model is adopted to represent progressively the nonlinear material behavior of composite materials until a material failure is predicted. An anisotropic initial yield criterion is established that includes the effects of different yield strengths in each material direction, and between tension and compression. Anisotropic work-hardening model and subsequent yield surface are developed to describe material behavior beyond the initial yield under the general loading condition. The current model is implemented into a computer code, which is Predictive Analysis for Composite Structures (PACS), and is presented in the companion paper. The accuracy and efficiency of the anisotropic plastic constitutive model are verified by solving a number of various fiber-reinforced composite laminates with and without geometric discontinuity. The comparisons of the numerical results to the experimental and other numerical results available in the literature indicate the validity and efficiency of the developed model.