Compaction of Open-Graded HMAs Evaluated by Fuzzy Clustering Technique

Giuseppe Sollazzo, Antonio Amadore, Orazio Pellegrino, Giuseppe Sollazzo, Gaetano Bosurgi, Antonio Amadore

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The aim of this paper is the proposal of an expeditious procedure to beused during the execution of an asphalt layer for improving the compaction task.This procedure, based on a fuzzy clustering technique, starts from the knowledge ofsome information recorded by ordinary measuring instruments and provides an aidto the decision-maker on the number of roller passes needed to achieve a specicdensity at a certain temperature. This result can be deduced with great rapidityduring the paving operations on site without waiting for the time spent in the coreextraction and in the subsequent laboratory analysis. In this way it is possible toidentify more precisely which aspects of the execution have to be corrected forperforming the best compaction.
Original languageEnglish
Title of host publication8th RILEM International Symposium on Testing and Characterization of Sustainable and Innovative Bituminous Materials
Pages243-254
Number of pages12
Publication statusPublished - 2016

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All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials

Cite this

Sollazzo, G., Amadore, A., Pellegrino, O., Sollazzo, G., Bosurgi, G., & Amadore, A. (2016). Compaction of Open-Graded HMAs Evaluated by Fuzzy Clustering Technique. In 8th RILEM International Symposium on Testing and Characterization of Sustainable and Innovative Bituminous Materials (pp. 243-254)