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Title: Validating Inverse Stereology Methods to Generate Two Dimensional Area Gradations for Computational Modeling
Accession Number: 01661035
Record Type: Component
Abstract: During the past few years, several researchers have employed computational methods to model and investigate the influence of several different factors on the overall behavior of asphalt mixture composites. Two-dimensional models, particularly those with computationally generated geometries, are commonly used on account of their computational efficiency. A critical input in such exercises is the two-dimensional distribution of aggregates in a given cross section, which needs to be generated from a representative three-dimensional volumetric gradation. This can be typically achieved using some form of transformation such as inverse stereology. The goal of this study was to determine the effectiveness of the inverse stereology approach when compared with the true two-dimensional area gradation observed in laboratory compacted hot mix asphalt (HMA) specimens. The results from this study show that an inverse stereology approach based on a polyhedron shape was effective in replicating the two-dimensional area gradation created by cutting a laboratory specimen.
Supplemental Notes: This paper was sponsored by TRB committee AFK50 Standing Committee on Structural Requirements of Asphalt Mixtures.
Report/Paper Numbers: 18-02126
Language: English
Authors: Pagination: 5p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Uncontrolled Terms: Subject Areas: Design; Highways; Materials; Pavements
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-02126
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:31AM
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0000-0003-0579-5618