Results 261 to 270 of about 5,009,480 (335)

An eXtreme Gradient Boosting model for predicting dynamic modulus of asphalt concrete mixtures

Construction and Building Materials, 2021
Dynamic modulus (DM)—an important stiffness property and a basic input parameter in the design of flexible pavements—is often obtained through expensive, laborious, and time-taking laboratory tests, which can be subjected to human error as well ...
Yasir Ali, Fizza Hussain, Muhammad Irfan   +2 more
exaly   +2 more sources

Analysing Witczak 1-37A, Witczak 1-40D and Modified Hirsch Models for asphalt dynamic modulus prediction using global sensitivity analysis

International Journal of Pavement Engineering, 2023
The dynamic modulus (∣E*∣) of hot-mix asphalt mixes is one of the most time-consuming and labour-intensive material metrics to evaluate in the laboratory.
Mahmoud Owais
semanticscholar   +1 more source

Investigating the effects of ensemble and weight optimization approaches on neural networks’ performance to estimate the dynamic modulus of asphalt concrete

International Journal on Road Materials and Pavement Design, 2022
This study hybridized the ensemble and weight optimization approaches with an artificial neural network (ANN) algorithm to forecast the dynamic modulus (E*) of asphalt concrete.
Jiandong Huang, Jia Zhang, Xin Li, Y. Qiao, Runhua Zhang, G. Kumar   +5 more
semanticscholar   +1 more source

Dynamic modulus and damping ratio of compacted loess under long-term traffic loading

International Journal on Road Materials and Pavement Design, 2021
Previous studies have centred on the long-term permanent deformation behaviour of soil under traffic loading while neglecting the dynamic parameters as it is affected by cycle number.
Rui Wang, Zhiping Hu, Xiang Ren, Fangtao Li, Fei Zhang   +4 more
semanticscholar   +1 more source

Accurately predicting dynamic modulus of asphalt mixtures in low-temperature regions using hybrid artificial intelligence model

, 2021
The applicability of the widely used Witczak model was evaluated for the first time regarding the asphalt mixtures produced in the East part of China.
Jiandong Huang, G. Shiva Kumar, Jiaolong Ren, Junfei Zhang, Yuantian Sun   +4 more
semanticscholar   +1 more source

Establishing prediction master curve of dynamic modulus of asphalt mixture considering randomness of aggregate morphology

, 2021
The objective of this paper is to study the influence of aggregate morphology on dynamic modulus of asphalt mixture and establish a method to predict dynamic modulus of asphalt mixture at different temperatures and loading frequencies based on aggregate ...
Ding Han, M. Yuan, H. Hu
semanticscholar   +1 more source

Estimation of the dynamic modulus of asphalt concretes using random forests algorithm

International Journal of Pavement Engineering, 2020
Dynamic modulus ( ) of asphalt can be estimated using predictive models to avoid the time-taking and costly laboratory-based measurements. Several predictive models such as the Witczak model have been widely used by many researchers for the prediction of
D. Daneshvar, A. Behnood
semanticscholar   +1 more source

Characterization of effects of reclaimed asphalt pavement (RAP) source and content on dynamic modulus of hot mix asphalt concrete

Construction and Building Materials, 2019
The effects of the reclaimed asphalt pavement (RAP) source and content on the dynamic modulus (E*) of hot mix asphalt concrete were characterized. Two parameters were proposed: the non-dimensional dynamic modulus-temperature index ( ∇ E T * ) and non ...
Ali Jamshidi, Greg White, Mehdi Hosseinpour   +2 more
exaly   +2 more sources

A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm

, 2020
Dynamic modulus of asphalt concrete, which is a key parameter characterizing its performance, can be either measured in the laboratory through time-taking and expensive experiments or estimated through predictive models. In this study, the M5P model tree
A. Behnood, D. Daneshvar
semanticscholar   +1 more source

Strength development monitoring and dynamic modulus assessment of cementitious materials using EMI-Miniature Prism based technique

Structural Health Monitoring, 2020
Electromechanical impedance (EMI) technique provides an alternative means of characterizing strength development of early age concrete on a real-time basis.
Xubin Lu, Y. Lim, I. Izadgoshasb, C. Soh
semanticscholar   +1 more source