@inproceedings{834b24e07b844240a5e2e087510d66de,
title = "Applications of grid subdivision to estimate asphalt microstructure responses",
abstract = "This paper proposes a simple method to establish an equivalency between two-dimensional (2D) microstructures of Asphalt Concrete (AC), and subdivided computational specimens with {\textquoteleft}discretized{\textquoteright} properties, i.e., no microstructure. A rough estimate of the behaviour of the AC microstructure is obtained by (1) determining the aggregate area per subdivision of the 2D microstructure using a grid, and then (2) estimating the mechanical properties of the subdivisions using exponential interpolation between the properties of the Fine Aggregate Matrix (FAM) and the aggregates. Results are presented after following this subdivision procedure for two AC microstructures generated at random, using a range of 1 to 50 subdivisions. A criterion is suggested for selecting an optimal number of subdivisions to reasonably approximate the overall mechanical response of the microstructure.",
author = "D. Castillo and Al-Qadi, {I. L.}",
note = "Publisher Copyright: {\textcopyright} 2018 Taylor & Francis Group, London.; International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2018 ; Conference date: 16-04-2018 Through 18-04-2018",
year = "2018",
doi = "10.1201/9780429457791-87",
language = "English (US)",
isbn = "9781138313095",
series = "Advances in Materials and Pavement Performance Prediction - Proceedings of the International AM3P Conference, 2018",
publisher = "CRC Press/Balkema",
pages = "367--370",
editor = "Eyad Masad and Ilaria Menapace and Amit Bhasin and Tom Scarpas and Anupam Kumar",
booktitle = "Advances in Materials and Pavement Performance Prediction - Proceedings of the International AM3P Conference, 2018",
}