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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.24 No.3
- 발행연도
- 2019.1
- 수록면
- 271 - 282 (12page)
이용수
초록· 키워드
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Concrete undergoes a series of thermo-based physio-chemical changes once exposed to elevated temperatures. Such changes adversely alter the composition of concrete and oftentimes lead to fire-induced explosive spalling. Spalling is a multi-dimensional, complex and most of all sophisticated phenomenon with the potential to cause significant damage to fire-exposed concrete structures. Despite past and recent research efforts, we continue to be short of a systematic methodology that is able of accurately assessing the tendency of concrete to spall under fire conditions. In order to bridge this knowledge gap, this study explores integrating novel artificial intelligence (AI) techniques; namely, artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA), together with traditional statistical analysis (multilinear regression (MLR)), to arrive at state-of-the-art procedures to predict occurrence of fire-induced spalling. Through a comprehensive data-driven examination of actual fire tests, this study demonstrates that AI techniques provide attractive tools capable of predicting fire-induced spalling phenomenon with high precision.
목차
등록된 정보가 없습니다.
참고문헌 (57)
참고문헌 신청
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
Asteris, P. G. / 2017 / Self-compacting concrete strength prediction using surrogate models / Neur. Comput. Appl 31(1):1~16
Bazant, Z. P. / 1979 / Pore pressure in heated concrete walls : theoretical prediction / Mag. Concrete Res 31(107):67~76
Bilgehan, M. / 2016 / ANFIS-based prediction of moment capacity of reinforced concrete slabs exposed to fire / Neur. Comput. Appl 27(4):869~881
McNamee, R / 2018 / Screening test methods for determination of fire spalling of concrete
Asteris, P. G. / 2017 / Self-compacting concrete strength prediction using surrogate models / Neur. Comput. Appl 31(1):1~16
Bazant, Z. P. / 1979 / Pore pressure in heated concrete walls : theoretical prediction / Mag. Concrete Res 31(107):67~76
Bilgehan, M. / 2016 / ANFIS-based prediction of moment capacity of reinforced concrete slabs exposed to fire / Neur. Comput. Appl 27(4):869~881
McNamee, R / 2018 / Screening test methods for determination of fire spalling of concrete
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