Abstract
Abstract. This article presents an application of photogrammetry and image processing for road sample analysis. The technique makes it possible to measure the void content of a sample and at the same time to analyse this physical characteristic as a function of the depth relative to the pavement surface. In a first part, the device dedicated and data acquired will be presented, then our algorithm (pore extraction and geometry processing) will be described and finally the results will be discussed, both on the quantitative aspect and on the transmission via a dedicated report.
Highlights
When traffic noise exceeds some predetermined threshold, road authorities usually replace the traditionally dense surface course by a porou s one that absorbs the acoustic waves
Specimens for porosimetry and image processing have been taken from the same core
Application of photogrammetry and image processing for the study of porous surface courses has greatly contributed to a better understanding of this type of bituminous mixtures
Summary
When traffic noise exceeds some predetermined threshold, road authorities usually replace the traditionally dense surface course by a porou s one that absorbs the acoustic waves. The acoustic lifetime is generally below expectations since the pores are clogging within 2 to 3 years (Balmer, Steiner, 2018) (Laferrière, Beltzung, 2017). The purpose of this paper is to present a method of inspection of the clogging process to facilitate an effective maintenance procedure. The method involves the use of image analysis on pictures of impregnated cores taken from the road. The resin being coloured by fluorescent pigments, it reveals the bulk overall porous space and gives indications about the clogged pores and the still open ones
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