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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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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.19 No.6
- 발행연도
- 2017.1
- 수록면
- 667 - 675 (9page)
이용수
초록· 키워드
오류제보하기
One of the main disadvantages of Ultra High Performance Concrete exists in the large suggested value of UHPC ingredients. The purpose of this study was to find the models mechanical properties which included a 7, 14 and 28-day compressive strength test, a 28-day splitting tensile and modulus of rupture test for Ultra High Performance Concrete, as well as, a study on the interaction and correlation of five variables that includes silica fume amount (SF), cement 42.5 amount, steel fiber amount, superplasticizer amount (SP), and w/c mechanical properties of UHPC. The response surface methodology was analyzed between the variables and responses. The relationships and mathematical models in terms of coded variables were established by ANOVA. The validity of models were checked by experimental values. The offered models are valid for mixes with the fraction proportion of fine aggregate as; 0.70-1.30 cement amount, 0.15-0.30 silica fume, 0.04-0.08 superplasticizer, 0.10-0.20 steel fiber, and 0.18-0.32 water binder ratio.
목차
등록된 정보가 없습니다.
참고문헌 (17)
참고문헌 신청
Aldahdooh, M. A. A. / 2013 / Evaluation of ultra-high-performance-fiber reinforced concrete binder content using the response surface method / Mater. Des. 52:957~965
Alqadi, A. N. / 2013 / Development of self-compacting concrete using contrast constant factorial design / J. King Saud Univ.-Eng. Sci. 25(2):105~112
Bektas, F. / 2014 / Analyzing mix parameters in ASR concrete using response surface methodology / Constr. Build. Mater. 66:299~305
Dils, J. / 2013 / Influence of cement type and mixing pressure on air content, rheology and mechanical properties of UHPC / Constr. Build. Mater. 41:455~463
Ghafari, E. / 2015 / Prediction of fresh and hardened state properties of UHPC : Comparative study of statistical mixture design and an artificial neural network model / J. Mater. Civil Eng. 27(11):04015017
Alqadi, A. N. / 2013 / Development of self-compacting concrete using contrast constant factorial design / J. King Saud Univ.-Eng. Sci. 25(2):105~112
Bektas, F. / 2014 / Analyzing mix parameters in ASR concrete using response surface methodology / Constr. Build. Mater. 66:299~305
Dils, J. / 2013 / Influence of cement type and mixing pressure on air content, rheology and mechanical properties of UHPC / Constr. Build. Mater. 41:455~463
Ghafari, E. / 2015 / Prediction of fresh and hardened state properties of UHPC : Comparative study of statistical mixture design and an artificial neural network model / J. Mater. Civil Eng. 27(11):04015017
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