Evaluation of the laboratory prediction of surface properties of bituminous mixtures. Construction and Building Materials. Volume 23. Issue 2. Elsevier Ltd, Amsterdam. ISSN: 0950-0618 pp. 943–952

Risultato della ricerca: Articlepeer review

15 Citazioni (Scopus)

Abstract

An experimental and analytical investigation was carried out both in laboratory and in situ on wearing courses. The approach presented in this paper aims to predict the in situ density and surface properties of bituminous layers, during the phase of mix design in laboratory. Therefore, the main attempt of thisstudy is to identify, amongst the commonly available laboratory equipments, the most adequate for producingspecimens that, used for carrying out simple and reliable laboratory test, allow the prediction ofthe surface characteristics of the mixture as laid on site.This is done by comparing the data collected from an experimental site with those calculated from laboratoryspecimens compacted with the superpave gyratory compactor (SGC).Typical laboratory tests (such as the sand patch method and the skid test) as well as the surface data obtained with a laser profilometer have been considered for characterizing the properties of a standard Italian wearing course, laid in two different final thicknesses and produced with the most common raw materials, according to the currently used techniques for mixtures production and laying process for maintenance work. An evaluation of the SGC ability to represent the density and surface properties of the mixture once on site is then discussed.
Lingua originaleEnglish
pagine (da-a)943-952
Numero di pagine10
RivistaConstruction and Building Materials
Volume23
Stato di pubblicazionePublished - 2009

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

Fingerprint Entra nei temi di ricerca di 'Evaluation of the laboratory prediction of surface properties of bituminous mixtures. Construction and Building Materials. Volume 23. Issue 2. Elsevier Ltd, Amsterdam. ISSN: 0950-0618 pp. 943–952'. Insieme formano una fingerprint unica.

Cita questo