Wind and Structures

Volume 26, Number 1, 2018, pages 35-43

DOI: 10.12989/was.2018.26.1.035

Numerical investigation of truck aerodynamics on several classes of infrastructures

Alejandro Alonso-Estébanez, Juan J. del Coz Díaz, Felipe P. Álvarez Rabanal, Pablo Pascual-Muñoz and Paulino J. García Nieto

Abstract

This paper describes the effect of different testing parameters (configuration of infrastructure and truck position on road) on truck aerodynamic coefficients under cross wind conditions, by means of a numerical approach known as Large Eddy Simulation (LES). In order to estimate the air flow behaviour around both the infrastructure and the truck, the filtered continuity and momentum equations along with the Smagorinsky–Lilly model were solved. A solution for these non-linear equations was approached through the finite volume method (FVM) and using temporal and spatial discretization schemes. As for the results, the aerodynamic coefficients acting on the truck model exhibited nearly constant values regardless of the Reynolds number. The flat ground is the infrastructure where the rollover coefficient acting on the truck model showed lowest values under cross wind conditions (yaw angle of 90), while the worst infrastructure studied for vehicle stability was an embankment with downward-slope on the leeward side. The position of the truck on the road and the value of embankment slope angle that minimizes the rollover coefficient were determined by successfully applying the Response Surface Methodology.

Key Words

cross wind; embankments; heavy vehicles aerodynamics; Large Eddy Simulation (LES); Finite Volume Method (FVM); Computational Fluid Dynamics (CFD)

Address

Alejandro Alonso-Estébanez and Pablo Pascual-Muñoz: Department of Transport, Projects and Process Technology, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain Juan J. del Coz Díaz and Felipe P. Álvarez Rabanal: Department of Construction, GICONSIME Research Team, University of Oviedo, Departmental Building 7, 33204 Gijón, Spain Paulino J. García Nieto: Department of Mathematics, Faculty of Sciences, University of Oviedo, 33007 Oviedo, Spain