Laboratory Investigations of Frost Susceptibility of Aggregates Applied to Road Base Courses

Ćwiąkała, Michał; Gajewska, Beata; Kraszewski, Cezary; Rafalski, Leszek

doi:10.1016/j.trpro.2016.05.312

Cited by 9 publications

(1 citation statement)

References 3 publications

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“…Materials to be used for road foundation purposes need to meet many requirements, as imposed by relevant standards. Among the physico-mechanical parameters determining the designation of a given material for road construction include water absorption (WA 24 ), frost resistance (F), flakiness index (Fl), sand equivalent (SE), Los Angeles coefficients (LA), resistance to wear micro-Deval (M DE ), California bearing ratio (CBR), mass fraction of passing 0.063 mm (f) and good particle size distribution of the mixture (Ćwiąkała et al, 2016;Esfahani & Goli, 2018; Hydzik-Wiśniewska, 2020; Hydzik-Wiśniewska & Bednarek, 2020; Pourkhorshidi et al, 2020;Xiao et al, 2012). As the primary element of hard-surfaced road foundation, aggregates are usually sourced from local mines (Kozioł & Kawalec, 2008;Lorek, 2015).…”

Section: Introductionmentioning

confidence: 99%

An assessment of how penetration curve adjustment affects the California bearing ratio (CBR)

Bednarek

2021

Studia Geotechnica Et Mechanica

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With the rapidly developing road transport, there is a demand for new roads to be constructed and for the existing ones to be repaired or extended. The base of any road is its foundation, usually made of crushed or uncrushed aggregate. To be used for road foundation purposes, a material needs to meet many requirements, as imposed by relevant standards. One of the basic tests to assess the suitability of an aggregate is to determine its California bearing ratio (CBR). This paper presents the results of CBR tests for mixed aggregate with the grading of 0–31.5 and 0–63 mm. Detailed assessments were carried out for penetration curves, which in many cases need to be adjusted to meet industry standards. The adjustment of plunger penetration curves in aggregate samples causes CBR to increase compared to the original curves.

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Section: Introductionmentioning

confidence: 99%