A Comparative Study of AI-Based International Roughness Index (IRI) Prediction Models for Jointed Plain Concrete Pavement (JPCP). [PDF]
Materials (Basel), 2022 Wang Q, Zhou M, Sabri MMS, Huang J.
europepmc +1 more source
Advanced Characterization of Asphalt Concrete Mixtures Towards Implementation of MEPDG in the UAE
InfrastructuresThis study presents a comprehensive material characterization program to develop the database inputs required for implementing the Mechanistic–Empirical Pavement Design Guide (MEPDG) in the United Arab Emirates (UAE).
Soughah Al-Samahi +4 more
doaj +1 more source
Evaluation of Design Procedure and Performance of Continuously Reinforced Concrete Pavement According to AASHTO Design Methods. [PDF]
Materials (Basel), 2022 Moharekpour M +4 more
europepmc +1 more source
Verification of Job Mix Formula for Alaskan HMA [PDF]
, 2014 INE/AUTC 14 ...
Li, Peng, Liu, Jenny
core
Neural networks based models for mechanistic-empirical design of rubblized concrete pavements [PDF]
, 2007 Rubblization is an in-place rehabilitation technique that involves breaking the concrete pavement into pieces. This process results in a structurally sound, rut resistant base layer which prevents reflective cracking (by obliterating the existing ...
Ceylan, Halil +2 more
core +3 more sources
Climate Change Impact Assessment for Surface Transportation in the Pacific Northwest and Alaska [PDF]
, 2012 WA-RD 772.
Figliozzi, Miguel +4 more
core +2 more sources
NDT - Journal of Non-Destructive TestingNon-destructive testing (NDT) systems are essential tools and are widely used for assessing the condition and structural integrity of pavement structures without causing any damage.
Konstantina Georgouli +2 more
doaj +1 more source
Hot Mix Asphalt Dynamic Modulus Prediction Models Using Neural Networks Approach [PDF]
, 2007 The primary objective of this study is to develop a simplified Hot Mix Asphalt (HMA) dynamic modulus (|E*|) prediction model with fewer input variables compared to the existing regression based models without compromising prediction accuracy.
Ceylan, Halil +3 more
core +2 more sources
Development of Asphalt Dynamic Modulus Master Curve Using Falling Weight Deflectometer Measurements, TR-659 [PDF]
, 2014 The asphalt concrete (AC) dynamic modulus (|E*|) is a key design parameter in mechanistic-based pavement design methodologies such as the American Association of State Highway and Transportation Officials (AASHTO) MEPDG/Pavement-ME Design.
core
Developing Hybrid Machine Learning Models to Determine the Dynamic Modulus (E*) of Asphalt Mixtures Using Parameters in Witczak 1-40D Model: A Comparative Study. [PDF]
Materials (Basel), 2022 Xu W, Huang X, Yang Z, Zhou M, Huang J.
europepmc +1 more source