Use of conditional inference trees for evaluating the effect of reclaimed asphalt pavement content and binder grade on the dynamic modulus of asphalt concrete mixtures
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چکیده
منابع مشابه
Modeling of Resilient Modulus of Asphalt Concrete Containing Reclaimed Asphalt Pavement using Feed-Forward and Generalized Regression Neural Networks
Reclaimed asphalt pavement (RAP) is one of the waste materials that highway agencies promote to use in new construction or rehabilitation of highways pavement. Since the use of RAP can affect the resilient modulus and other structural properties of flexible pavement layers, this paper aims to employ two different artificial neural network (ANN) models for modeling and evaluating the effects of ...
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Performance Evaluation of Dynamic Modulus Predictive Models for Asphalt Mixtures
Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...
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The Joint Transportation Research Program serves as a vehicle for INDOT collaboration with higher education institutions and industry in Indiana to facilitate innovation that results in continuous improvement in the planning, design, construction , operation, management and economic efficiency of the Indiana transportation infrastructure. NOTICE The contents of this report reflect the views of ...
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ژورنال
عنوان ژورنال: International Journal of Pavement Research and Technology
سال: 2018
ISSN: 1996-6814
DOI: 10.1016/j.ijprt.2018.02.002