TECHNICAL PAPERS
Mar 15, 2004

Linear and Nonlinear Viscoelastic Analysis of the Microstructure of Asphalt Concretes

Publication: Journal of Materials in Civil Engineering
Volume 16, Issue 2

Abstract

The paper at hand presents a methodology for analyzing the viscoelastic behavior of asphalt concretes, whose microstructure is captured through two-dimensional imaging techniques. The paper describes the viscoelastic behavior of the binder through mechanistic models fitted to rheological data obtained at different strain levels. The resulting binder stress–strain behavior is computed through a convolution integral approach and implemented into a subroutine defining material behavior in a commercially available finite element program. The use of a convolution integral approach is shown to facilitate incorporating the binder nonlinear viscoelatic behavior in the analysis of the asphalt concrete microstructure response. This is conducted by assigning the binder model constants as a function of strain level. The model is tested by comparing asphalt concrete shear modulus G* predictions to earlier predictions obtained with a generalized piecewise linear viscoelastic model, as well as measurements obtained with a simple shear tester. The model is used to explain some of the discrepancies observed between experimentally obtained axial and shear dynamic moduli.

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Information

Published In

Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 16Issue 2April 2004
Pages: 133 - 139

History

Received: May 14, 2002
Accepted: Jun 23, 2003
Published online: Mar 15, 2004
Published in print: Apr 2004

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Authors

Affiliations

A. R. Abbas
MSc, Dept. of Civil and Environmental Engineering, Washington State Univ., Pullman, WA 99164-2910.
A. T. Papagiannakis, M.ASCE
Associate Professor, PhD, Dept. of Civil and Environmental Engineering, Washington State Univ., Pullman, WA 99164-2910.
E. A. Masad, M.ASCE
Assistant Professor, PhD, Texas Transportation Institute, Texas A&M Univ., College Station, TX 77843-3135.

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