کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4913078 | 1428757 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Calibration and validation of a rutting model based on shear stress to strength ratio for asphalt pavements
ترجمه فارسی عنوان
کالیبراسیون و اعتبارسنجی یک مدل چرخشی بر اساس تنش برشی و نسبت قدرت برای آسفالت
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کلمات کلیدی
مدل رولینگ، استرس برشی، مقاومت برشی، آسفالت پیاده رو انسجام، زاویه اصطکاک داخلی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
In this study, a rutting model in power law form was proposed considering the shear stress to strength ratio which can be calculated in terms of cohesion (c) and internal friction angle (Ï) for different asphalt mixtures. Predictive equations for c and Ï were first developed from laboratory testing at a reference temperature of 50 °C using multiple regression analyses considering asphalt binder, aggregate and volumetric properties of different asphalt mixes. The predictive c and Ï equations were found to have correlation coefficients of 0.87 and 0.86 respectively. The rutting model considers the number of load cycles (N), shear strength ratio, temperature and load duration as main parameters of the permanent strain wherein the coefficients were determined using tri-axial compressive strength and repeated load permanent deformation testing. It was calibrated using field rutting data from twenty-six Westrack pavement sections. Moreover, the rutting model was validated using field performance data obtained from Korean national highways' long term pavement performance database. It was found from the validation that the model can accurately estimate rut depths under varying load and environmental conditions in the fields.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Construction and Building Materials - Volume 149, 15 September 2017, Pages 327-337
Journal: Construction and Building Materials - Volume 149, 15 September 2017, Pages 327-337
نویسندگان
Won Jae Kim, Van Phuc Le, Hyun Jong Lee, Huy Thien Phan,