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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Structural Engineering and Mechanics, An Int'l Journal Structural Engineering and Mechanics, An Int'l Journal Vol.78 No.2
- 발행연도
- 2021.1
- 수록면
- 175 - 186 (12page)
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초록· 키워드
오류제보하기
Due to the increasing environmental pollution caused by scrap tires, a solution is being sought to recycle and use them in a field of civil engineering, i.e., construction. This paper will provide a brief overview of previous researches that give detailed information on the advantages and disadvantages, considering the microstructural and mechanical characteristics of self-compacting concrete, when waste tire rubber as an aggregate is added. With this aim, a database of 144 different mixtures of self-compacting concrete with partial substitute of natural aggregate with recycled tire rubber (self-compacting rubberized concrete, SCRC) provided by various researchers was created. In this study we show that Gaussian process regression (GPR) modelling is an appropriate method for predicting compressive strength of SCC with recycled tire rubber particles and is in accordance with the results displayed by SEM images.
목차
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참고문헌 (55)
참고문헌 신청
AbdelAleem, B. H. / 2018 / Development of self-consolidating rubberized concrete incorporating silica fume / Constr. Build. Mater 161:389~397
Abdollahzadeh, A. / 2011 / Predict strength of rubberized concrete using artificial neural network / WSEAS Tran. Comput 2(10):31~40
Akıllı, A. / 2016 / Investigation of Using Rubber Granules in Concrete / IOSR J. Eng 6(3):36~40
Gultekin Aktas / 2016 / Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model / Structural Engineering and Mechanics, An Int＇l Journal 60(4):655~665
Alaloula, W. S. / 2020 / Mechanical and deformation properties of rubberized engineered cementitious composite (ECC) / Case Stud. Constr. Mater 13:1~13
Abdollahzadeh, A. / 2011 / Predict strength of rubberized concrete using artificial neural network / WSEAS Tran. Comput 2(10):31~40
Akıllı, A. / 2016 / Investigation of Using Rubber Granules in Concrete / IOSR J. Eng 6(3):36~40
Gultekin Aktas / 2016 / Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model / Structural Engineering and Mechanics, An Int＇l Journal 60(4):655~665
Alaloula, W. S. / 2020 / Mechanical and deformation properties of rubberized engineered cementitious composite (ECC) / Case Stud. Constr. Mater 13:1~13
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