Moisture Susceptibility of Asphalt Mixtures with Known Field Performance

Author:

Arambula Edith1,Masad Eyad2,Martin Amy Epps3

Affiliation:

1. Room 601A, Zachry Department of Civil Engineering, Texas A&M University, CE/TTI Building, 3136 TAMU, College Station, TX 77843-3136.

2. Room 503H, Zachry Department of Civil Engineering, Texas A&M University, CE/TTI Building, 3136 TAMU, College Station, TX 77843-3136.

3. Room 503F, Zachry Department of Civil Engineering, Texas A&M University, CE/TTI Building, 3136 TAMU, College Station, TX 77843-3136.

Abstract

Moisture damage in asphalt mixtures refers to loss in strength and durability due to the presence of water. The level and the extent of moisture damage, also called moisture susceptibility, depend on environmental, construction, and pavement design factors; internal structure distribution; and the quality and type of materials used in the asphalt mixture. This study evaluates the moisture susceptibility of asphalt mixtures with known field performance using dynamic analysis and a crack growth model to characterize the asphalt mixtures and corresponding asphalt mastics. The model parameters were obtained from surface energy measurements, uniaxial dynamic testing for the asphalt mixtures, and dynamic shear testing for the asphalt mastics. Results showed good differentiation between the moisture-conditioned (wet) and unconditioned (dry) specimen behavior and provided a good correlation with the reported field performance of the asphalt mixtures.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference18 articles.

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1. Investigation of asphalt pavement crack propagation based on micromechanical finite element: A case study;Case Studies in Construction Materials;2023-12

2. Criterion to Select the Maximum Aggregate Size of Fine-Aggregate Asphalt Matrices;Transportation Research Record: Journal of the Transportation Research Board;2023-03-31

3. Experimental simulation for moisture damage of saturated asphalt mixture and evolution of mixture’s pore water pressure, accumulative strain;Construction and Building Materials;2023-03

4. Moisture Damage Prediction of Hot Mix Asphalt Using Artificial Neural Network;Proceedings of the Sixth International Conference of Transportation Research Group of India;2022-09-19

5. Modelling and evaluating moisture susceptibility of laboratory prepared asphalt concrete mixtures;Ain Shams Engineering Journal;2022-01

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