Asphalt concrete stiffness prediction based on composition and binder properties

Master thesis (2018)

Authors

J. Droogers Civil Engineering & Geosciences

Contributors

S. Erkens (mentor)
E. Schlangen (graduation committee member)
L.J.M. Houben (graduation committee member)
B.W. Sluer (graduation committee member)
N.R.Z. Poeran (graduation committee member)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2018 Joost Droogers
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Published Date

23-11-2018

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

Asphalt concrete stiffness is currently only determined by tests in The Netherlands. A prediction model can be useful for mix design and verification purposes. In this paper existing asphalt concrete stiffness prediction models have been analysed. A database with 7 mixes has been build to assess these models. A study was performed on the relevance of binder and composition parameters for predicting asphalt concrete stiffness. Finally, a new model is proposed.