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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.22 No.6
- 발행연도
- 2018.1
- 수록면
- 539 - 550 (12page)
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초록· 키워드
오류제보하기
Concrete is highly non-linear material which is originating from the transition zone in the form of micro-cracks, governs material response under various loadings. In this paper, the constitutive models published by many researchers have been used to generate novel stiffness parameters and constitutive curves for concrete. Following such linear material formulations, where the energy is conservative during the curvature, and a nonlinear contribution to the concrete has been made and investigated. In which, nonlinear concrete elastic modulus modeling has been developed that is capable-of representing concrete elasticity for grades ranging from 10 to 140 MPa. Thus, covering the grades range of concrete up to the ultra-high strength concrete, and replacing many concrete models that are valid for narrow ranges of concrete strength grades. This has been followed by the introduction of the nonlinear Hooke’s law for the concrete material through the replacement of the Young constant modulus with the nonlinear modulus. In addition, the concept of concrete elasticity index (φ) has been proposed and this factor has been introduced to account for the degradation of concrete stiffness in compression under increased loading as well as the multi-stages micro-cracking behavior of concrete under uniaxial compression. Finally, a sub-routine artificial neural network model has been developed to capture the concrete behavior that has been introduced to facilitate the prediction of concrete properties under increased loading.
목차
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참고문헌 (30)
참고문헌 신청
1963 / ACI committee 318, Building Code Requirements for Structural Concrete 318-63
2014 / ACI Committee 318, Building Code Requirements for Reinforced Concrete, (ACI 318-14) and Commentary (318R-14) / American Concrete Institute
1997 / ACI Committee 363, State-of-the-Art Report on High-Strength Concrete (ACI 363R-92)
Ahmed M. Ashteyat / 2018 / Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks / Computers and Concrete, An International Journal 21(1):47~54
2004 / BS EN 1992-1-1, Eurocode 2: Design of concrete structures - Part 1-1 : General Rules and Rules for Buildings
2014 / ACI Committee 318, Building Code Requirements for Reinforced Concrete, (ACI 318-14) and Commentary (318R-14) / American Concrete Institute
1997 / ACI Committee 363, State-of-the-Art Report on High-Strength Concrete (ACI 363R-92)
Ahmed M. Ashteyat / 2018 / Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks / Computers and Concrete, An International Journal 21(1):47~54
2004 / BS EN 1992-1-1, Eurocode 2: Design of concrete structures - Part 1-1 : General Rules and Rules for Buildings
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