کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
258279 503615 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-faceted investigation into the effects of hot-mix asphalt parameters on Marshall Stability
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Multi-faceted investigation into the effects of hot-mix asphalt parameters on Marshall Stability
چکیده انگلیسی

In the present study, the effect on Marshall Stability (MS) of hot-mix asphalt (HMA) parameters which are the particle diameters of aggregates, quantity of bitumen in the HMA, different environmental temperatures and the exposure times was closely investigated. To this end, a total of 60 Asphalt Core Samples (ACSs) was taken from different sections in the city of Duzce. In the laboratory, MS tests and extraction tests were conducted by using trichloroethylene and an extraction test device. Sieve analyses were carried out on each core sample’s aggregates to determine the particle diameters. Also, some of the physical and mechanical properties of aggregates were determined. For the multi-faceted investigation of the effect of HMA parameters on MS, statistical analyses were performed. Within this scope, correlation coefficients have been determined between the MS and HMA parameters, and different prediction models have been developed based on the HMA parameters for MS by using Multi Linear Regression Analysis. As a result, it was determined that some particle diameters of aggregates (0.56 mm, 1 mm, 0.18 mm, etc.) and the quantity of bitumen with 0.43 correlation coefficient increased the MS, the other particle diameter of aggregates (19 mm, 8 mm, 9.5 mm, etc.) and the environmental temperature with −0.83 correlation coefficient decreased the Marshall Stability.


► Correlation for MS and particle diameters are −0.312 and −0.103 for 19 and 16 mm.
► Correlation for MS and particle diameters are 0.28 and 0.10 for 0.56 and 2.0 mm.
► MS can be predicted with R2 = 0.85 based on the parameters of HMA.
► MS can be predicted with R2 = 0.71 based on temperature, exposure time, and quantity of bitumen.
► MS can be predicted with R2 = 0.48 based only on the particle diameters of aggregates.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Construction and Building Materials - Volume 40, March 2013, Pages 419–425
نویسندگان
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