کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6714974 1428739 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimizing the mixture design of polymer concrete: An experimental investigation
ترجمه فارسی عنوان
بهینه سازی طراحی مخلوط بتن پلیمری: یک مطالعه تجربی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
Over the last few decades, polymer concrete (PC) has been finding use in quick repairing of concrete structures. However, there have been only few studies on the mechanical behavior of PC. The aim of this study is to evaluate the mechanical behavior of PC using destructive and non-destructive tests (NDT). The mixtures were prepared with three different polymer ratios (10%, 12%, and 14%) and two different coarse aggregate sizes (4.75-9.5 mm and 9.5-19 mm). The samples were subsequently tested under three different temperatures (−15 °C, +25 °C, and +65 °C). The Taguchi method and analysis of variance (ANOVA) were used to optimize PC mixes based on the compressive, splitting-tensile, and flexural strengths under varying polymer content, coarse aggregate size, and temperature. NDTs, including ultrasonic pulse velocity and electrical resistivity tests, were carried out to gain insights into the porosity and void content of the specimens. Scanning electron microscopy (SEM) was used to analyze the bonding interface between aggregates and polymer, microstructure phase, and pores that were present in the structure of the PC. Results show that a decrease in the temperature from +25 °C to −15 °C led to an improvement in the mechanical properties of PC mixes, whereas an increase in the temperature from +25 °C to +65 °C adversely affected the mechanical properties. Based on NDT, it was found that increasing the coarse aggregate size and polymer ratio reduced the porosity of specimens. This is attributed to the decreased surface area to volume ratio with increasing particle size, which allowed the polymer to completely coat the surface of aggregates. Finally, a set of expressions was proposed to predict the mechanical properties of PC.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Construction and Building Materials - Volume 167, 10 April 2018, Pages 185-196
نویسندگان
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