Asphalt concrete stiffness prediction based on composition and binder properties

Master Thesis (2018)
Author(s)

J. Droogers (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Sandra Erkens – Mentor

Erik Schlangen – Graduation committee member

LJM Houben – Graduation committee member

B.W. Sluer – Graduation committee member

N.R.Z. Poeran – Graduation committee member

Faculty
Civil Engineering & Geosciences
Copyright
© 2018 Joost Droogers
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Joost Droogers
Graduation Date
23-11-2018
Awarding Institution
Delft University of Technology
Faculty
Civil Engineering & Geosciences
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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.

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