TECHNICAL PAPERS
Jul 1, 2005

Prediction of Damage Behaviors in Asphalt Materials Using a Micromechanical Finite-Element Model and Image Analysis

Publication: Journal of Engineering Mechanics
Volume 131, Issue 7

Abstract

A study of the micromechanical damage behavior of asphalt concrete is presented. Asphalt concrete is composed of aggregates, mastic cement, and air voids, and its load carrying behavior is strongly related to the local microstructural load transfer between aggregate particles. Numerical simulation of this micromechanical behavior was accomplished by using a finite-element model that incorporated the mechanical load-carrying response between aggregates. The finite-element scheme used a network of special frame elements each with a stiffness matrix developed from an approximate elasticity solution of the stress and displacement field in a cementation layer between particle pairs. Continuum damage mechanics was then incorporated within this solution, leading to the construction of a microdamage model capable of predicting typical global inelastic behavior found in asphalt materials. Using image processing and aggregate fitting techniques, simulation models of indirect tension, and compression samples were generated from surface photographic data of actual laboratory specimens. Model simulation results of the overall sample behavior and evolving microfailure/fracture patterns compared favorably with experimental data collected on these samples.

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Acknowledgments

The writers would like to acknowledge support from the Transportation Center at the University of Rhode Island under Grant Nos. UNSPECIFIED01-64 and UNSPECIFIED02-86. Additional support was also provided from the Cardi Construction Corporation.

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Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 131Issue 7July 2005
Pages: 668 - 677

History

Received: Mar 24, 2003
Accepted: Dec 7, 2004
Published online: Jul 1, 2005
Published in print: Jul 2005

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Notes

Note. Associate Editor: Arif Masud

Authors

Affiliations

Qingli Dai
Research Associate, College of Engineering, Texas A&M Univ.-Kingsville, Kingsville, TX 78363.
Martin H. Sadd
Professor, Dept. of Mechanical Engineering and Applied Mechanics, Univ. of Rhode Island, Kingston, RI 02881.
Venkit Parameswaran
Visting Professor, Dept. of Mechanical Engineering and Applied Mechanics, Univ. of Rhode Island, Kingston, RI 02881.
Arun Shukla
Professor, Dept. of Mechancial Engineering and Applied Mechanics, Univ. of Rhode Island, Kingston, RI 02881.

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