Aggregates mineralogical composition dataset to estimate the Averaged Aggregate Hardness Parameter to predict the Long-Term Skid Resistance of pavements

Kane, Malal and Edmondson, Vikki (2020) Aggregates mineralogical composition dataset to estimate the Averaged Aggregate Hardness Parameter to predict the Long-Term Skid Resistance of pavements. Data in Brief, 31. p. 105849. ISSN 2352-3409

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Official URL: https://doi.org/10.1016/j.dib.2020.105849

Abstract

The raw data here are used to calculate the AHPM (“Averaged Aggregate Hardness Parameter”) parameters of pavement surfaces and to determine their capacity of skid resistance in the long term. They are composed by: • the type of aggregates and their proportions by volume in each pavement, • the calculation of the Aggregate Hardness Parameter (AHP) and • the determined AHP of each of the pavements. After the calculation of this parameter and with the help of analytical functions that we recall below, the skid Resistance capacity of that asphalt surfacing in the long term will be deduced. This long-term skid resistance value corresponds to that determined in the test with the Wehner Shulz machine. The reader is invited to read the paper entitled Long-Term Skid Resistance of Asphalt Surfacings and Aggregates’ Mineralogical Composition: Generalisation to Pavements made of Different Aggregate Types referenced WEA203339 [1].

Item Type: Article
Uncontrolled Keywords: Long-Term Skid Resistance; Asphalt Surfacings; Aggregates’ Mineralogical Composition; Petrographic nature; Aggregates types; Averaged Aggregate Hardness Parameter; Polishing, Traffic
Subjects: H200 Civil Engineering
H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Elena Carlaw
Date Deposited: 19 Jun 2020 11:44
Last Modified: 31 Jul 2021 13:01
URI: http://nrl.northumbria.ac.uk/id/eprint/43510

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