Andrea Crivellini

Prof. Andrea Crivellini

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 May 2013 in Computers & Fluids
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Journal Article
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ACAndrea Crivellini
Andrea Crivellini
Valerio D'AlessandroValerio D'Alessandro
Valerio D'Alessandro
FBFrancesco Bassi
Francesco Bassi

26 June 2020 in Flow, Turbulence and Combustion
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Journal Article
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FBF. Bassi
F. Bassi
LBL. Botti
L. Botti
ACAlessandro Colombo
Alessandro Colombo
ACAndrea Crivellini
Andrea Crivellini
MFM. Franciolini
M. Franciolini
GNGianmaria Noventa
Gianmaria Noventa

1 September 2020 in AIAA Journal
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Journal Article
Closed access
FBFrancesco Bassi
Francesco Bassi
ACAlessandro Colombo
Alessandro Colombo
ACAndrea Crivellini
Andrea Crivellini
KFKrzysztof J. Fidkowski
Krzysztof J. Fidkowski
MFMatteo Franciolini
Matteo Franciolini
GNGianmaria Noventa
Gianmaria Noventa
This paper presents an approach to mesh adaptation suitable for scale-resolving simulations. The methodology is based on the entropy-adjoint approach, which corresponds to a standard output-based a...

20 April 2016 in International Journal of Computational Fluid Dynamics
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Journal Article
Open access
FBF. Bassi
F. Bassi
LBL. Botti
L. Botti
ACAlessandro Colombo
Alessandro Colombo
ACAndrea Crivellini
Andrea Crivellini
NFNicoletta Franchina
Nicoletta Franchina
AGAntonio Ghidoni
Antonio Ghidoni
In this work the capabilities of a high-order Discontinuous Galerkin (DG) method applied to the computation of turbomachinery flows are investigated. The Reynolds averaged Navier–Stokes equations coupled with the two equations k-ω turbulence model are solved to predict the flow features, either in a fixed or rotating reference frame, to simulate the fluid flow around bodies that operate under an imposed steady rotation. To ensure, by design, the positivity of all thermodynamic variables at a discrete level, a set of primitive variables based on pressure and temperature logarithms is used. The flow fields through the MTU T106A low-pressure turbine cascade and the NASA Rotor 37 axial compressor have been computed up to fourth-order of accuracy and compared to the experimental and numerical data available in the literature.

Verified
Journal Article
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SCSara Corvaro
Sara Corvaro
ACAndrea Crivellini
Andrea Crivellini
Francesco MariniFrancesco Marini
Francesco Marini
ACAndrea Cimarelli
Andrea Cimarelli
LCLoris Capitanelli
Loris Capitanelli
AMAlessandro Mancinelli
Alessandro Mancinelli
The present study provides an extensive analysis on the hydrodynamics induced by a vertical slender pile under wave action. The authors carried out the study both experimentally and numerically, thus enabling a deep understanding of the flow physics. The experiments took place at a wave flume of the Università Politecnica delle Marche. Two different experimental campaigns were performed: In the former one, a mobile bed model was realized with the aims to study both the scour process and the hydrodynamics around the cylinder; in the latter one, the seabed was rigid in order to make undisturbed optical measurements, providing a deeper analysis of the hydrodynamics. The numerical investigation was made by performing a direct numerical simulation. A second order numerical discretization, both in time and in space, was used to solve the Navier–Stokes equations while a volume of fluid (VOF) approach was adopted for tracking the free surface. The comparison between experimental and numerical results is provided in terms of velocity, pressure distributions around the cylinder, and total force on it. The analysis of the pressure gradient was used to evaluate the generation and evolution of vortices around the cylinder. Finally, the relation between scour and bed shear stresses due to the structure of the vortex pattern around the pile was assessed. It is worth noting that the physical understanding of this last analysis was enabled by the combined use of experimental data on scour and numerical data on the flow pattern.

1 January 2015
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Book Chapter
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FBF. Bassi
F. Bassi
LBL. Botti
L. Botti
ACAlessandro Colombo
Alessandro Colombo
ACAndrea Crivellini
Andrea Crivellini
AGAntonio Ghidoni
Antonio Ghidoni
SRS. Rebay
S. Rebay