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Article

Degradation Prediction Model for Friction of Road Pavements with Natural Aggregates and Steel Slags

Department of Engineering and Architecture, University of Trieste, via Alfonso Valerio 6/2, 34127 Trieste, Italy
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Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(1), 32; https://doi.org/10.3390/app10010032
Submission received: 25 November 2019 / Revised: 13 December 2019 / Accepted: 17 December 2019 / Published: 19 December 2019
(This article belongs to the Special Issue Asphalt Materials)

Abstract

Steel production wastes (steel slags) are used more often in asphalt concrete pavements as a valuable replacement for natural aggregates, which are becoming increasingly rare. In this paper authors investigate the polishing characteristics of aggregates, and in particular of steel slags, used in bituminous road surfacing, are a major factor in determining the resistance to skidding. The main purpose of the study is the identification of a suitable degradation model, based on friction indicators, in the laboratory, as well as the comparison of in-situ pavement skid resistance with the cumulative number of passing vehicles over the years. The model predicts the expected resistance to skidding of the road surface based on the knowledge of the polished stone value (PSV) of the aggregates and the expected traffic on the road. In this study, several types of aggregates were compared: steel slag, limestone, limestone and slag mixture, diabase, Criggion stone and basalt. Using a standard PSV test, it was found that the aggregates did not reach the lower value of skid resistance (equilibrium value). The analysis of the British Portable Number (BPN) data versus polishing time allowed to empirically derive a regression model for each investigated aggregate. Hence, it appears possible to define both an investigatory level and threshold level to predict the actual residual life of the pavement from the examination of skid resistance.
Keywords: skid resistance; friction; polished stone value; road pavements; steelworks slags; BPN skid resistance; friction; polished stone value; road pavements; steelworks slags; BPN

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MDPI and ACS Style

Crisman, B.; Ossich, G.; Bevilacqua, P.; Roberti, R. Degradation Prediction Model for Friction of Road Pavements with Natural Aggregates and Steel Slags. Appl. Sci. 2020, 10, 32. https://doi.org/10.3390/app10010032

AMA Style

Crisman B, Ossich G, Bevilacqua P, Roberti R. Degradation Prediction Model for Friction of Road Pavements with Natural Aggregates and Steel Slags. Applied Sciences. 2020; 10(1):32. https://doi.org/10.3390/app10010032

Chicago/Turabian Style

Crisman, Bruno, Giulio Ossich, Paolo Bevilacqua, and Roberto Roberti. 2020. "Degradation Prediction Model for Friction of Road Pavements with Natural Aggregates and Steel Slags" Applied Sciences 10, no. 1: 32. https://doi.org/10.3390/app10010032

APA Style

Crisman, B., Ossich, G., Bevilacqua, P., & Roberti, R. (2020). Degradation Prediction Model for Friction of Road Pavements with Natural Aggregates and Steel Slags. Applied Sciences, 10(1), 32. https://doi.org/10.3390/app10010032

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