Abstract

The stability of asphalt concrete under the effects of freezing and thawing was studied experimentally, and the experimental test results were modelled using fuzzy logic and statistical methods. The stability was investigated experimentally using the Marshall and ultrasound methods. Asphalt core samples 10 cm in diameter were alternately frozen (–20°C for 16 hr) and thawed (16°C for 8 hr) for 5, 10, 15, 20, 25, and 30 cycles to simulate daily winter conditions. The stability of asphalt concrete at the laboratory environment temperature of 17°C was used as a reference. The results showed that the stability of asphalt core samples exposed to freezing and thawing increased, and this increase varied between 22.7% and 19.2% for 5- and 30-day cycles, respectively. By using Fuzzy Logic and statistical methods, prediction models were constituted based on freezing-thawing cycle, bitumen ratio, saturated unit volume weight, volume of voids, air dry unit volume weight to predict the Stability of asphalt concrete which could not be determined with experimental. The experimental results, the fuzzy logic model, and the statistical results showed good correlations. For the stability of asphalt core samples, the correlation coefficient was R2 = 0.88 for the fuzzy logic model and R2 = 1.0 for the statistical method. Based on the results of this study, it is clear that both the fuzzy logic and statistical methods can be used to model the stability of asphalt concrete under various freezing and thawing conditions.

Highlights

  • INTRODUCTIONStripping can cause different types of distress, such as creep, ravelling, rutting, shoving, cracking and low stability

  • The results showed that the stability of asphalt core samples exposed to freezing and thawing cycles increased, and this increase varied between 22.7% for a 5-day cycle and 19.2% for a 30-day cycle

  • The results of this study indicated that the ultrasound velocity decreases while the stability increases

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Summary

INTRODUCTION

Stripping can cause different types of distress, such as creep, ravelling, rutting, shoving, cracking and low stability This hot mix asphalt (HMA) environmental damage is a material compatibility problem. Increasing viscosity and ductility decrease the stability of asphalt concrete, resulting in problems that are considered major contributors to early or premature distress of asphalt pavement, including segregation, numerous air voids, inadequately mixed content and a compaction temperature that is too low [8,19-22]. On the other hand, understanding the effects of freezing and thawing cycles on the stability of asphalt concrete is as important as knowing the impact of increasing the temperature. For simulation and modelling of asphalt concrete stability in different freezing/thawing cycles, the experimental results were analysed using statistical and fuzzy logic methods.

MODELLING OF EXPERIMENTAL TEST RESULTS
STATISTICAL ANALYSIS
Residual
MODELLING OF EXPERIMENTAL TEST RESULTS WITH THE FUZZY LOGIC METHOD
RESULTS AND DISCUSSION
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