Using Logistic Regression to Estimate the Probability of Asphalt Binder Failure at Low Temperatures

  • سال انتشار: 1391
  • محل انتشار: نهمین کنگره بین الملی مهندسی عمران
  • کد COI اختصاصی: ICCE09_1303
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 1361
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نویسندگان

Mohammad Jafari

PhD Candidate, College of Engineering, University of Tehran

Abbas babazadeh

Assistant Professor, School of Civil Engineering, College of Engineering, University of Tehran

Sassan Aflaki

Assistant Professor, School of Civil Engineering, College of Engineering, University of Tehran

چکیده

Although rheological properties of asphalt binders have been widely used to characterize asphalt mixtures performance in the last 50 years, the cost and availability of the laboratory equipment hampered the spreads of using viscoelasticity to qualify asphalts. During 1987-1992 through the SHRP project a new bitumen grading protocol based on new testing techniques were introduced, which tries to relate rheological properties of binders to pavement performance in the high, intermediate and low service temperature ranges. Each of these ranges has their own failure mechanism and criteria.The goal of the paper is introducing the concept of mathematical modeling of the probability of asphalt failure. The logistic regression approach is used to model the probability of asphalt failure at low service temperatures. The sample set used in the model calibration is selected from a recent laboratory study report, where for each sample the low temperature stiffness and m-values are measured by Bending Beam Rheometer. Some related applications of the resulting model are also discussed

کلیدواژه ها

Rheological Properties, Failure Criteria, Low Service Temperature, Logistic Regression

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