Development of a model to quantify dust emissions from truck traffic on earthmoving sites: approach and preliminary results

Autor: Le Vern, Mickael, Sediki, Ouardia, Razakamanantsoa, Andry, Murzyn, Frédéric, Larrarte, Frédérique, Insenga, Pascal, Gotteland, Philippe
Přispěvatelé: Laboratoire Géomatériaux et Intéractions Environnementales (GERS-LGIE), Université Gustave Eiffel, École Supérieure des Techniques Aéronautiques et de Construction Automobile (ESTACA), Sols, Roches et Ouvrages Géotechniques (GERS-SRO), Vinci Construction France, Fédération Nationale des Travaux Publics, RP2-E18101 Thèse Mickael Le Vern, Cadic, Ifsttar
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Geo-Environmental Engineering
Geo-Environmental Engineering, May 2021, CAEN, France. 8 p
Popis: Geo-Environmental Engineering, CAEN, FRANCE, 20-/05/2021 - 21/05/2021; Dust emission is a major issue in general but even more for civil engineering professionals. This is particularly important on earthmoving sites with truck traffic on compacted soils. Suspended dust causes many troubles, including visibility mitigation, which leads to safety risks. To prevent the lift of particles, soils are watered abundantly. When carried out in an arbitrary way, this solution can lead to a significant waste of this natural resource. Savings could be achieved by anticipating the necessary and sufficient quantities for dust suppression. For this purpose, a model is being developed to highlight and quantify the main factors involved in the lifting of soil particles by truck traffic. The approach adopted for the development of the model together with the preliminary results are presented. Soils degradation by traffic are studied in laboratory in order to assess the accumulation of particles on the surface. These particles are lift due to mechanical and aerodynamic forces, which are studied in test track and wind tunnel, respectively. This study allows to characterize the mechanism of dust emission on construction sites by relying on physical parameters that are not considered in the empirical models currently available.
Databáze: OpenAIRE