Recovery of waste expanded polystyrene in lightweight concrete production

Authors

  • Gordan Bedeković University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering
  • Ivana Grčić
  • Aleksandra Anić Vučinić
  • Vitomir Premur

DOI:

https://doi.org/10.17794/rgn.2019.3.8

Keywords:

waste expanded polystyrene, lightweight concrete, circular economy

Abstract

Polystyrene concrete, as a type of lightweight aggregate concrete, has been used in civil construction for years. The use of waste expanded polystyrene (EPS) as a fill material in lightweight concrete production is highly recommended from the point of view of the circular economy. Published data shows that an increase in the proportion of lightweight aggregates, i.e. EPS, results in a decrease in strength, bulk density and thermal conductivity of the concrete. Utilizing large quantities of waste EPS in non-structural polystyrene concrete production is particularly important. Unlike structural polystyrene concrete, according to the published papers, non-structural polystyrene concrete has not been investigated sufficiently. The purpose of this paper is to determine the influence of the ratios of the basic components in a concrete mixture on the bulk density and compressive strength of non-structural polystyrene concrete produced by utilizing waste EPS as a fill material. The test specimens, i.e. cubes with an edge length of 100 mm each, were prepared in laboratory conditions by varying the proportions of EPS, sand up to 600 g and cement ranging from 300 g to 450 g per specimen. Bulk density and compressive strength were determined for the test specimens. Laboratory research results show a dependence of the component ratio on the bulk density ranging from 360 kg/m3to 915 kg/m3and compressive strength ranging from 0.385 MPa to 2.538 MPa.

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Published

2019-06-04

How to Cite

Bedeković, G., Grčić, I., Vučinić, A. A., & Premur, V. (2019). Recovery of waste expanded polystyrene in lightweight concrete production. Rudarsko-geološko-Naftni Zbornik, 34(3). https://doi.org/10.17794/rgn.2019.3.8

Issue

Section

Mining