Towards a mix design model for the prediction of permeability of hot-mix asphalt

Blaauw, Sheldon A.; Maina, James; Horak, Emile

doi:10.1016/j.conbuildmat.2019.06.082

Cited by 11 publications

(1 citation statement)

References 7 publications

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“…Only limited work has been done on the full set of the rational BMRs linkage with permeability by Horak et al (2017a). Machine learning techniques have recently been used to develop permeability prediction of HMA based on the principles and approach described in this paper (Blaauw et al 2019), and Cromhout (2018) used it with success on QA/QC large data set analyses. The logic of the approach developed will be described next by focusing on identifying parameters linked to interconnected voids as main indicator of permeability potential.…”

Section: Revised Bailey Methods Ratios (Bmrs) Based On Contiguous Aggrmentioning

confidence: 99%

Monitoring permeability potential of hot mix asphalt via binary aggregate packing principles correlated with Bailey ratios and porosity principles

Horak

Maina

Myburgh

et al. 2019

J. S. Afr. Inst. Civ. Eng.

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and UNISA. His career started in technology transfer and research implementation at the CSIR, which remained his passion throughout his career as a pavement engineer. He had a short stint with a major contractor developing toll concessions and design-build-operate opportunities. He established himself as specialist consultant, and as such contributed to a number of mediation and arbitration cases on roads, materials and airports. He spent ten years as Professor and Head of the Department of Civil Engineering, University of Pretoria. His researcher status is recognised nationally and internationally, and he has more than 300 papers, journal articles and peer-reviewed conference papers to his credit.

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Section: Revised Bailey Methods Ratios (Bmrs) Based On Contiguous Aggrmentioning

confidence: 99%