TECHNICAL PAPERS
Feb 14, 2003

Empirical-Mechanistic Method Based Stochastic Modeling of Fatigue Damage to Predict Flexible Pavement Cracking for Transportation Infrastructure Management

Publication: Journal of Transportation Engineering
Volume 129, Issue 2

Abstract

In the purely theoretical approach of pavement design, percentage fatigue cracking is related to damage in a probabilistic manner according to the Miner’s law. Two methods that are currently widely in use are based on assumptions of damage distribution. One method assumes fatigue damage being normally distributed, while the other one assumes fatigue damage being lognormally distributed. Since mechanistic-empirical pavement design and pavement management require precise forecasting of pavement fatigue cracking, much effort should be taken to characterize and predict fatigue cracking in terms of damage distribution. In this paper, we formulate the probability density distribution of fatigue damage of flexible pavements according to the underlying structure of fatigue cracking equations so that pavement fatigue-cracking damage can be interpreted in a more meaningful way. Numerical computation is conducted for a case study. It is found that damage is neither normally nor lognormally distributed. It is therefore recommended that methodology and damage distribution model established in this paper be used in practice to predict damage distribution and percentage cracking so that a better estimation of fatigue cracking can be made.

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 129Issue 2March 2003
Pages: 109 - 117

History

Received: Jun 9, 2000
Accepted: Apr 9, 2002
Published online: Feb 14, 2003
Published in print: Mar 2003

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Authors

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Lu Sun
Assistant Professor, Dept. of Civil Engineering, The Catholic Univ. of America, Washington, D.C. 20064.
W. Ronald Hudson, P.E., F.ASCE
Dewitt C. Greer Centennial Professor Emeritus and Director, Texas Accelerating Pavement Testing Center, The Univ. of Texas at Austin, Austin, TX 78712.
Zhanming Zhang
Dept. of Civil Engineering, Univ. of Texas, Austin, TX 78712.

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