Multi-scale computational model for design of flexible pavement - part I: expanding multi-scaling

A computational multi-scale procedure for designing flexible pavement is developed in this, the first of a three part series. In this paper, computational analyses are performed on sequentially larger length scales, termed expanding multi-scaling. The model is constructed by the finite element metho...

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Bibliographic Details
Published in:The international journal of pavement engineering 2017-04, Vol.18 (4), p.309-320
Main Authors: Allen, David H., Little, Dallas N., Soares, Roberto F., Berthelot, Curtis
Format: Article
Language:English
Subjects:
Algorithms
Asphalt pavements
Computation
Computational modelling
Design analysis
Design engineering
Expanding multi-scaling
Fatigue (materials)
Finite element analysis
Finite element method
Flexible pavement
Mathematical models
Nonlinear programming
Pavement performance
Pavements
Sustainability
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Summary:A computational multi-scale procedure for designing flexible pavement is developed in this, the first of a three part series. In this paper, computational analyses are performed on sequentially larger length scales, termed expanding multi-scaling. The model is constructed by the finite element method at each length scale, thereby creating a one-way coupled multi-scale algorithm that is capable of accounting for the effects of variations in design parameters at each length scale on the performance of flexible pavements. For example, the algorithm can be utilised to predict the effects of small-scale design variables such as volume fractions of additives, fines and aggregate, as well as the effects of large-scale design variables such as asphalt concrete thickness and degree of base layer compaction on rutting due to cyclic loading. The computational procedure is briefly herein, including the experimental properties required to deploy the computational scheme for the purpose of pavement design. The paper concludes with several demonstrative examples intended to elucidate the power of this predictive technology for the purpose of designing more sustainable pavements.
ISSN:1029-8436
1477-268X
DOI:10.1080/10298436.2015.1065999