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RISComparing Artificial Neural Networks with Regression Models for Hot-Mix Asphalt Dynamic Modulus Prediction
Publisher: American Society of Civil Engineers
Abstract: The hot-mix asphalt (HMA) dynamic modulus (E*) is a fundamental mechanistic property that defines the strain response of asphalt concrete mixtures as a function of loading rate and temperature. It is one of the HMA primary ...
Comprehensive Rheological, Thermal, Chemical, and Morphological Characterization of the LDPE-Modified Asphalt Binder
Publisher: American Society of Civil Engineers
Abstract: AbstractGlobally, an enormous amount of low-density polyethylene (LDPE) waste is landfilled,
causing drastic environmental impacts. Incorporating LDPE in asphalt binder can mitigate
its negative impact on the environment, ...
Coastal Road Resilience in Nile Delta, Egypt: A Comprehensive Multihazard Risk Assessment
Publisher: American Society of Civil Engineers
Abstract: AbstractThe coastal region of the Nile Delta in Egypt is highly susceptible to various natural
hazards and climate change, posing significant threats to its transportation infrastructure.
Existing risk mapping approaches ...
Simplified Closed-Form Procedure for Network-Level Determination of Pavement Layer Moduli from Falling Weight Deflectometer Data
Publisher: American Society of Civil Engineers
Abstract: Accurate estimation of the layer moduli for an existing pavement system is a key element for making an effective decision on pavement rehabilitation. Backcalculation is one of the most widely used processes for analyzing ...