| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 258281 | Construction and Building Materials | 2013 | 8 Pages |
The analytical control of the compaction of an hot mix asphalt is difficult because of the complex relationship among uncertain features but it is fundamental to achieve the target established in the design respecting the estimated cost. For this reason it is necessary to use instruments that report the surveyed data in real time not only of the compaction but also of other parameters relative to the considered scenario, through evolved analytical procedures in order to extract useful information.The aim of this paper is the proposal of an expeditious procedure to be used during the execution of an asphalt layer that, based on a fuzzy clustering technique and starting from the knowledge of the information recorded by ordinary measuring instruments, predicts whether the material under certain conditions can reach the desired value of density.This result can be deduced with great rapidity during the paving operations on site without waiting for extraction time of cores and subsequent laboratory analysis. In this way it is possible to identify more precisely what aspects of the environmental context have to be corrected for performing the best compaction.
► The authors have recorded non only the density of the asphalt material, but also other important features of the context. ► The proposed methodology, based on the application of some fuzzy clustering techniques, can help to prevent laying tests. ► In fact it is not necessary to build and demolish relevant sections of pavement where the density is too low. ► Again, costs are more contained because it is no longer necessary to use laboratory tests with the same frequency. ► And, above all, it is possible to recognize, for that specific scenario, the most sensitive variables.
