Riassunto analitico
This thesis aims to extend the analysis of the impact of asphalt surface roughness on the airflow
beneath race cars, building on previous work that explored the relationship between surface
roughness and flow characteristics. The focus of this research is threefold:
First, we will classify asphalt geometries using a 2D spectral method, applying a 2D Discrete
Fourier Transform (DFT) to compute the power spectrum of the elevation or protrusion height.
To achieve this, the geometry will be doubly mirrored to ensure periodicity in the results.
Second, we will validate the previous results of Samuele Seggioli using Large Eddy Simula-
tions (LES) in T-Flows, comparing the findings from different tarmac geometries and analyzing
key turbulence parameters.
Finally, we will classify the asphalt geometries through friction coefficients (Cf) and pene-
tration height values obtained from LES simulations. These metrics will serve as the basis for
creating a new classification system that improves our understanding of the influence of different
roughness conditions on the flow under race cars
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Abstract
This thesis aims to extend the analysis of the impact of asphalt surface roughness on the airflow
beneath race cars, building on previous work that explored the relationship between surface
roughness and flow characteristics. The focus of this research is threefold:
First, we will classify asphalt geometries using a 2D spectral method, applying a 2D Discrete
Fourier Transform (DFT) to compute the power spectrum of the elevation or protrusion height.
To achieve this, the geometry will be doubly mirrored to ensure periodicity in the results.
Second, we will validate the previous results of Samuele Seggioli using Large Eddy Simula-
tions (LES) in T-Flows, comparing the findings from different tarmac geometries and analyzing
key turbulence parameters.
Finally, we will classify the asphalt geometries through friction coefficients (Cf) and pene-
tration height values obtained from LES simulations. These metrics will serve as the basis for
creating a new classification system that improves our understanding of the influence of different
roughness conditions on the flow under race cars
|
