کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5436752 1509649 2017 43 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of normal and high strength recycled aggregate concrete mixtures by using packing model
ترجمه فارسی عنوان
بهینه سازی مخلوط بتن سبک بازیافت شده با استفاده از مدل بسته بندی
کلمات کلیدی
جمع آوری بتن بازیافت شده، بتن های جمع آوری شده بازیافت شده، مدل بسته بندی فشرده طراحی مخلوط بتن، استحکام بالا، قطر بینی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی
This paper analyzes the possibility of applying the Compressible Packing Model (CPM) for the proportion of concrete mixtures produced with Recycled Concrete Aggregates (RCAs). As a matter of fact, the RCAs are composed of natural aggregates and attached mortar and, as a consequence, they generally present a higher porosity in comparison with ordinary natural aggregates. The higher porosity of RCAs can affect the resulting Recycled Aggregate Concretes (RACs) properties and, for this reason, the mix design procedure available in literature for ordinary concrete mixture cannot be applied as such in the case of RACs. In this context, the present work first presents a preliminary study in which the optimal mixing procedure for RACs is investigated and then, a possible extension of the CPM in the case of RACs is analyzed. Several structural RAC mixtures were designed for three strength classes (25, 45 and 65 MPa) by considering the variation of the aggregate replacement from 0 to 100%. Finally, the proposed procedure is experimentally validated by performing mechanical and durability tests on selected mixtures for the three strength classes with a RCAs content up to 60%. The results reported herein demonstrate the applicability of the CPM for recycled concrete mixtures and highlight as the rational use of RCAs lead to produce structural RAC without affecting its mechanical and the durability performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cement and Concrete Composites - Volume 84, November 2017, Pages 83-92
نویسندگان
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