United States Department of Transportation
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Stiffness Properties of Composite Pavements Using Artificial Neural Network-Based Methodologies
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2001-01-01
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[PDF-1.41 MB]
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Alternative Title:Development of a Comprehensive, Rational Method for Determination of Remaining Life of an Existing Pavement [Project title from cover]
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Edition:Interim Report: Sept. 1, 1999 -Aug 31, 2000
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Abstract:Most mechanistic-empirical methods for determining the remaining life of an existing pavement rely on the use of deflection-based nondestructive evaluation (NDE) devices. This report describes a methodology based on Artificial Neural Networks (ANN) techniques to estimate moduli of different layers in a composite pavement. The inputs to all the models are the best estimates of the thickness of each layer and the surface deflections obtained from a Falling Weight Deflectometer test. The outcome of the study is a computer program that estimates the moduli of different pavement layers in a more robust manner.
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