Influence of Anisotropy on Pavement Responses Using Adaptive Sparse Polynomial Chaos Expansion
Publication: Journal of Materials in Civil Engineering
Volume 28, Issue 1
Abstract
Modeling the spatial variability that exists in pavement systems can be conveniently represented by means of random fields; in this study, a probabilistic analysis that considers the spatial variability, including the anisotropic nature of the pavement layer properties, is presented. The integration of the spatially varying log-normal random fields into a linear-elastic finite difference analysis has been achieved through the expansion optimal linear estimation method. For the estimation of the critical pavement responses, metamodels based on polynomial chaos expansion (PCE) are developed to replace the computationally expensive finite-difference model. The sparse polynomial chaos expansion based on an adaptive regression-based algorithm, and enhanced by the combined use of the global sensitivity analysis (GSA) is used, with significant savings in computational effort. The effect of anisotropy in each layer on the pavement responses was studied separately, and an effort is made to identify the pavement layer wherein the introduction of anisotropic characteristics results in the most significant impact on the critical strains. It is observed that the anisotropy in the base layer has a significant but diverse effect on both critical strains. While the compressive strain tends to be considerably higher than that observed for the isotropic section, the tensile strains show a decrease in the mean value with the introduction of base-layer anisotropy. Furthermore, asphalt-layer anisotropy also tends to decrease the critical tensile strain while having little effect on the critical compressive strain.
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Acknowledgments
The authors would like to acknowledge the editors and reviewers for their excellent review of this paper, and their efforts to improve the lucidity and presentation of the work. The changes and suggestions recommended by them have been incorporated in the best possible manner.
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Published In
Journal of Materials in Civil Engineering
Volume 28 • Issue 1 • January 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: May 14, 2014
Accepted: Feb 12, 2015
Published online: May 11, 2015
Discussion open until: Oct 11, 2015
Published in print: Jan 1, 2016
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