Abstract
The theoretical background, standards, and contract requirements of pavement friction courses involve functional (e.g., permeability) and acoustic (e.g., resistivity) characteristics. Unfortunately, their relationship is partly unknown and uncertain. This affects the comprehensiveness and soundness of the mix design of asphalt pavements. Based on the issues above, the goals of this study were confined into the following ones: 1) to investigate the relationship between acoustic and functional properties of porous asphalts; 2) to investigate, through one-layer (1L) and two-layer (2L) models, the effectiveness of the estimates of acoustic input data through mixture volumetric- and permeability-related characteristics. Volumetric and acoustic tests were performed and simulations were carried out. Equations and strategies to support a comprehensive approach were derived. Results demonstrate that even if the measured resistivity is very important, permeability-based estimates of resistivity well explain acoustic spectra. Furthermore, the distance between observed and estimated peaks of the absorption spectrum emerges as the best error function.
Highlights
Filippo Giammaria Praticò, Rosario Fedele, Paolo Giovanni BrianteInvestigation on Acoustic Versus Functional Characteristics of Porous AsphaltAs it is well known, pavements are multi-layered structures
Note that the samples were extracted from one highway consisting of two carriageways, each one consisting of three lanes, and 6 months after it was laid
The following conclusions can be drawn: 1) Acoustic properties and functional properties of porous asphalt are well correlated. This notwithstanding, due to issues that relate to the determination of these variables, dedicated strategies and procedures are needed to predict the acoustic performance based on the volumetric and functional properties of porous asphalt
Summary
Filippo Giammaria Praticò, Rosario Fedele, Paolo Giovanni BrianteInvestigation on Acoustic Versus Functional Characteristics of Porous AsphaltAs it is well known, pavements are multi-layered structures. Based on these main inputs, construction procedures ( compaction) determine the main volumetric and composition characteristics, e.g., air void content (AV), effective porosity (ΩC), and thickness (t) These latter affect wearing course functional performance, e.g., coefficient of permeability or hydraulic conductivity (k20), drainability (DR), friction, Pendulum Test Value (PTV ), Mean Texture Depth (MTD), and Mean Profile Depth (MPD). Both functional and acoustic properties have a common logical basis in the characteristics of the volumes that surround Hot Mix Asphalt (HMA) skeleton To define different categories of voids, digital image processing techniques and Computed Tomography (CT) scanning technology can be used (Zhao et al, 2019)
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