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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국콘크리트학회 International Journal of Concrete Structures and Materials International Journal of Concrete Structures and Materials Vol.16 No.6
- 발행연도
- 2022.11
- 수록면
- 745 - 765 (21page)
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초록· 키워드
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The main objective of this work was to highlight the contribution of cement-to-water C/W ratio and the fractal dimension FD model to the prediction of the compressive strength of concrete. In particular, the fractal dimension FD concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model FGM<SUB>g</SUB> also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength R<SUB>C28</SUB> of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension FD model and the granular range D/d were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model FGM<SUB>g</SUB> and the influence of cement-water C/W ratio of concretes mixtures when predicting the concretes compressive strength R<SUB>C28</SUB>. The analytical model provided a close correlation with the experimental values of the compressive strength R<SUB>C28</SUB> of all the concretes. The correlation highlighted the relevance of including fractal granular model FGM<SUB>g</SUB> that denoted the skeleton of the concretes and the cement–water C/W ratio that referred to the binders into concretes mixtures when predicting R<SUB>C28</SUB>. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength R<SUB>C28</SUB>.
목차
Abstract
1 Introduction
2 Data Collection and Fractal Dimension
3 Fractal Model and Granular Mixture
4 Relevant Parameters of Concretes
5 Results and Discussion
6 Experimental Verification
7 Conclusions
References
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