Variability analysis of asphalt mixture beam bending test

Wanqiu Liu; Wen Lu; Xu Liu; Lei Zhang

doi:10.1117/12.2299933

27 March 2018 Variability analysis of asphalt mixture beam bending test

Wanqiu Liu, Wen Lu, Xu Liu, Lei Zhang

Proceedings Volume 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018; 1059831 (2018) https://doi.org/10.1117/12.2299933
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2018, Denver, Colorado, United States

Abstract

The random shape and distribution of the aggregates add large inhomogeneity into the mixtures. Large material composition variability will increase the risk of damages, such as cracking and rutting. This paper introduced a digital image processing based HMA mixture material composition variability analysis method as a new material performance evaluation supplementary tool. The low temperature performances of six types of asphalt pavement materials have been evaluated through beam bending tests. Through comparing with the beam bending lab test data, it has shown that material composition variability has direct influence on the variability of the strength of the HMA beam bending test specimens, and proved the effectiveness of the proposed variability analysis method.

Citation Download Citation

Wanqiu Liu, Wen Lu, Xu Liu, and Lei Zhang "Variability analysis of asphalt mixture beam bending test", Proc. SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 1059831 (27 March 2018); https://doi.org/10.1117/12.2299933

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