Results 181 to 190 of about 716 (229)

Prediction of flow rutting in asphalt concrete layers

International Journal of Pavement Engineering, 2011
This paper evaluates an approach for predicting rut formation in asphalt concrete (AC) layers. The approach is based on a linear viscoelastic model for predicting permanent vertical strain in AC layers subjected to a moving load. The input data are tyre pressure, loading speed, lateral wandering of loading wheel, shear modulus and phase angle of AC ...
Safwat F. Said, Hassan Hakim, Erik Oscarsson, Mattias Hjort   +3 more
openaire   +1 more source

Potential of Dynamic Creep to Predict Rutting

1995
Rutting is one of the predominant types of distresses observed in hot mix asphalt. Different versions of creep tests are used at present to evaluate rutting potential of hot mix asphalt mixtures. To evaluate the potential of dynamic creep to predict rutting, tests were conducted under representative conditions on laboratory samples with different ...
RB Mallick, R Ahlrich, ER Brown
openaire   +1 more source

Predicting a Model for Modified Asphalt Cement Rutting Parameters

Key Engineering Materials, 2021
This paper aims to investigate the relationship between the Superpave rutting parameter of asphalt (G﹡/sin δ) by conducting Dynamic Shear Rheometer (DSR) tests with the rut depth values obtained by the wheel track device. The twenty asphalt mixtures have been prepared with twenty types of unmodified asphalts and Polymer-Modified Binders (PMBs). SBS was
Mohammed Abbas Al-Jumaili, Hamid Athab Al-Jameel   +1 more
openaire   +1 more source

Temperature Analysis in Prediction of the Rutting of Asphalt Concrete Bridge Pavements

Road Materials and Pavement Design, 2001
ABSTRACT One of the main issues in design of bridge pavement concerns rutting (permanent deformation). Traditional approach in rutting evaluation takes into account average seasonal temperatures. To get a better approximation, a different approach was developed.
NICOLOSI, VITTORIO, Crispino, M.
openaire   +2 more sources

Mechanistic-Empirical Rut Prediction Model for In-Service Pavements

Transportation Research Record: Journal of the Transportation Research Board, 2000
Rutting is a major mode of failure in flexible pavements. Development of accurate predictive rut performance models is an ongoing pursuit of the pavement engineering community. This has resulted in a plethora of rut prediction models ranging from purely mechanistic to empirical.
Hyung Bae Kim, Neeraj Buch, Dong-Yeob Park   +2 more
openaire   +1 more source

Asphalt concrete rutting predicted using the PEDRO model

International Journal of Pavement Engineering, 2014
This paper presents a theoretical viscoelastic approach, called PEDRO (PErmanent Deformation of asphalt concrete layers for ROads), for predicting rut formation in asphalt concrete materials subjected to traffic loading. Input data are traffic parameters, asphalt concrete viscosity and asphalt layer thickness. Vertical strains that cause rutting in the
Safwat F. Said, Hassan Hakim
openaire   +1 more source

PREDICTING RUT WEAR DEPTH OF ROAD SURFACE

Roads and Bridges
This article examines issues related to determining the rut depth of asphalt concrete road surfaces. Based on the π-theorem of dimensional theory, a formula is proposed for quantitatively assessing rut depth depending on a number of factors: traffic speed, magnitude and number of wheel loads, asphalt concrete elastic modulus, and tire stud ...
Nikolay A. Lushnikov, Petr A. Lushnikov, Gleb A. Ponarin   +2 more
openaire   +1 more source

Pavement Rutting Performance Prediction by Integrated Weibull Approach

Transportation Research Record: Journal of the Transportation Research Board, 2008
This paper demonstrates the applicability of the integrated Weibull approach to simulate the in situ rutting performance of asphalt concrete mixes by applying appropriate correction factors to laboratory models. The goal was to verify and calibrate the laboratory models according to accelerated pavement test results.
Erdem Coleri, Bor-Wen Tsai, Carl L. Monismith   +2 more
openaire   +1 more source

Approaches to Rut Depth Prediction in Semirigid Asphalt Pavements

Journal of Engineering Mechanics, 2009
Rutting has an adverse effect on safety and riding comfort of pavement. Reliable prevention and prediction of rutting has been one of the major focuses in road research. This paper summarizes the methods available for rut depth prediction and performs a case study in two separate ways based on the data acquired from a full-scale indoor circular road ...
Jun Yang, Haizhu Lu, Haoran Zhu
openaire   +1 more source

Development and Application of a Rut Prediction Model for Flexible Pavement

Transportation Research Record: Journal of the Transportation Research Board, 2005
A four-layer neural network (NN) was constructed and applied to determine mapping associating factors in the design and testing of asphalt samples with their performance in repetitive rutting tests. A total of 1,586 samples (two samples per data point) were tested to determine rutting with the use of an asphalt pavement analyzer ...
Tarefder, Rafiqul Alam, White, Luther, Zaman, Musharraf   +2 more
openaire   +2 more sources