Academic Journal

Statistical Approach for the Design of Structural Self-Compacting Concrete with Fine Recycled Concrete Aggregate

التفاصيل البيبلوغرافية
العنوان: Statistical Approach for the Design of Structural Self-Compacting Concrete with Fine Recycled Concrete Aggregate
المؤلفون: Víctor Revilla-Cuesta, Marta Skaf, Ana B. Espinosa, Amaia Santamaría, Vanesa Ortega-López
المصدر: Mathematics, Vol 8, Iss 12, p 2190 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Mathematics
مصطلحات موضوعية: self-compacting concrete (SCC), recycled concrete aggregate (RCA), RCA content optimization, robustness, analysis of variance (ANOVA), compressive strength prediction, Mathematics, QA1-939
الوصف: The compressive strength of recycled concrete is acknowledged to be largely conditioned by the incorporation ratio of Recycled Concrete Aggregate (RCA), although that ratio needs to be carefully assessed to optimize the design of structural applications. In this study, Self-Compacting Concrete (SCC) mixes containing 100% coarse RCA and variable amounts, between 0% and 100%, of fine RCA were manufactured and their compressive strengths were tested in the laboratory for a statistical analysis of their strength variations, which exhibited robustness and normality according to the common statistical procedures. The results of the confidence intervals, the one-factor ANalysis Of VAriance (ANOVA), and the Kruskal–Wallis test showed that an increase in fine RCA content did not necessarily result in a significant decrease in strength, although the addition of fine RCA delayed the development of the final strength. The statistical models presented in this research can be used to define the optimum incorporation ratio that would produce the highest compressive strength. Furthermore, the multiple regression models offered accurate estimations of compressive strength, considering the interaction between the incorporation ratio of fine RCA and the curing age of concrete that the two-factor ANOVA revealed. Lastly, the probability distribution predictions, obtained through a log-likelihood analysis, fitted the results better than the predictions based on current standards, which clearly underestimated the compressive strength of SCC manufactured with fine RCA and require adjustment to take full advantage of these recycled materials. This analysis could be carried out on any type of waste and concrete, which would allow one to evaluate the same aspects as in this research and ensure that the use of recycled concrete maximizes both sustainability and strength.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2227-7390
Relation: https://www.mdpi.com/2227-7390/8/12/2190; https://doaj.org/toc/2227-7390
DOI: 10.3390/math8122190
URL الوصول: https://doaj.org/article/26f4cd2f8a7340f5a76ffa122aac9310
رقم الانضمام: edsdoj.26f4cd2f8a7340f5a76ffa122aac9310
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22277390
DOI:10.3390/math8122190