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Heuristic Principles to Predict the Effect of Crumb Rubber Gradation on Asphalt Binder Rutting Performance
Publisher: American Society of Civil Engineers
Abstract: The objective of this study was to employ an artificial neural network (ANN) to predict asphalt-rubber (AR) rutting performance characteristics using binder properties, crumb rubber (CR) gradations, and mechanical test ...
Comprehensive Laboratory Evaluation of Thermophysical Properties of Pavement Materials: Effects on Urban Heat Island
Publisher: American Society of Civil Engineers
Predictive Models to Estimate Phase Angle of Asphalt Mixtures
Publisher: American Society of Civil Engineers
Abstract: The main objective of this study was to develop predictive models to estimate the viscoelastic phase angle (
Development of Pavement-Surface Temperature Predictive Models: Parametric Approach
Publisher: American Society of Civil Engineers
Abstract: Rapid urbanization has been causing a change in the urban climate resulting in urban heat islands (UHIs). In the area of transportation pavement infrastructure and its effect on UHI, the impact of these changes can be ...
Rational Performance Indicators to Evaluate Asphalt Materials’ Aging Characteristics
Publisher: American Society of Civil Engineers
Prediction of the Remaining Fatigue Life of Flexible Pavements Using Laboratory and Field Correlations
Publisher: American Society of Civil Engineers
Abstract: The main objective of this study was to develop comprehensive criteria to evaluate the remaining service life of existing roads as regards their field fatigue cracking characteristics using fracture mechanics principles ...
Development of Pavement-Surface Temperature Predictive Models: Parametric Approach
Publisher: American Society of Civil Engineers
Abstract: Rapid urbanization has been causing a change in the urban climate resulting in urban heat islands (UHIs). In the area of transportation pavement infrastructure and its effect on UHI, the impact of these changes can be ...
A Deep Neural Network Approach to Predict Overlay Thickness of Asphalt Pavements Using Deflection Parameters and Estimated Traffic
Publisher: ASCE
Abstract: The objective of this study was to develop a deep neural network (DNN)-based approach to predict the overlay thickness of asphalt pavements using deflection bowl parameters measured with a falling weight deflectometer and ...
Unified Pavement Health Index: Comprehensive and Robust Approach to Measure Functional Condition of Asphalt Pavement Systems
Publisher: ASCE
Abstract: The objective of this study was to develop a generic pavement condition assessment scale, called the unified pavement health index (UPHI), that is capable of quantifying asphalt pavement surface quality, which could be ...