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Title:

Use of the Moisture-Induced Stress Tester (MIST), Appropriate Tests, and Analyses for Evaluation of Moisture Susceptibility of Asphalt Mixture

Accession Number:

01662956

Record Type:

Component

Abstract:

The objective of the study was to analyze the data obtained from testing of several asphalt mixtures and develop a framework for testing, along with the improved Moisture Induced Stress Tester (MIST) conditioning process, to identify moisture susceptible mixes during the mix design process. Plant produced loose materials for nine different mixes with known field performances were subjected to pre MIST testing, conditioning and post MIST testing, which included indirect tensile strength test for strength and fracture energy, seismic modulus, and semi circular bending test for fracture energy and flexibility index. Images of surface of the samples before and after MIST conditioning were also analyzed to detect changes in black pixels. Regression analysis and Artificial Neural Network (ANN) were used to understand the relative impacts of the different test properties on moisture susceptibility. The conclusions are that the MIST conditioning process with the 20 hour dwell period is able to simulate moisture damage conditions in the laboratory; the seismic modulus testing has good potential for identifying moisture susceptible mixes; increase in fracture energy shows a good correlation with Tensile Strength Ratio (TSR); there is a decrease in the number of black pixels on the samples after conditioning, with superior mixes showing a smaller decrease; and that ANN can be used effectively to predict the moisture damage potential. A framework is recommended for evaluating asphalt mixtures for their moisture damage potential.

Supplemental Notes:

This paper was sponsored by TRB committee AFK40 Standing Committee on Surface Requirements of Asphalt Mixtures. Alternate title: Use of the Moisture Induced Stress Tester (MIST), Appropriate Tests and Analyses for Evaluation of Moisture Susceptibility of Asphalt Mixtures.

Report/Paper Numbers:

18-05403

Language:

English

Authors:

Veeraragavan, Ram Kumar
Nivedya, M K
Mallick, Rajib B
Tao, Mingjiang
Dave, Eshan
Daniel, Jo Sias
Salhi, Mohammed
Bradbury, Richard L
Nener-Plante, Derek

Pagination:

23p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

Subject Areas:

Highways; Materials; Pavements

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05403

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:22AM