Leonardo Chirco

Dr. Leonardo Chirco

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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16 July 2022 in Journal of Computational Physics
Verified
Journal Article
Open access
LCLeonardo Chirco
Leonardo Chirco
JMJacob Maarek
Jacob Maarek
SPStéphane Popinet
Stéphane Popinet
SZStéphane Zaleski
Stéphane Zaleski

22 August 2022 in Computer Physics Communications
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Journal Article
Closed access
ACAndrea Chierici
Andrea Chierici
LCLeonardo Chirco
Leonardo Chirco
VCV. Le Chenadec
V. Le Chenadec
RSRuben Scardovelli
Ruben Scardovelli
PYPh. Yecko
Ph. Yecko
SZS. Zaleski
S. Zaleski

19 October 2022 in International Journal for Numerical Methods in Fluids
Verified
Journal Article
Open access
LCLeonardo Chirco
Leonardo Chirco
SZStéphane Zaleski
Stéphane Zaleski
We propose a novel class of edge‐based interface‐tracking (EBIT) methods in the field of multiphase flows for advecting the interface. The position of the interface is tracked by marker points located on the edges of the underlying grid, making the method flexible with respect to the choice of spatial discretization and suitable for parallel computation. In this article we present a simple EBIT method based on two‐dimensional Cartesian grids and on a linear interface representation.

28 August 2020 in Fluids
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Journal Article
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LCLeonardo Chirco
Leonardo Chirco
Sandro ManservisiSandro Manservisi
Sandro Manservisi
Fluid–structure interaction (FSI) systems consist of a fluid which flows and deforms one or more solid surrounding structures. In this paper, we study inverse FSI problems, where the goal is to find the optimal value of some control parameters, such that the FSI solution is close to a desired one. Optimal control problems are formulated with Lagrange multipliers and adjoint variables formalism. In order to recover the symmetry of the stationary state-adjoint system an auxiliary displacement field is introduced and used to extend the velocity field from the fluid into the structure domain. As a consequence, the adjoint interface forces are balanced automatically. We present three different FSI optimal controls: inverse parameter estimation, boundary control and distributed control. The optimality system is derived from the first order necessary condition by taking the Fréchet derivatives of the augmented Lagrangian with respect to all the variables involved. The optimal solution is obtained through a gradient-based algorithm applied to the optimality system. In order to support the proposed approach and compare these three optimal control approaches numerical tests are performed.


1 October 2019 in Journal of Computational Physics
Verified
Journal Article
Closed access
LCLeonardo Chirco
Leonardo Chirco
RVR. Da Vià
R. Da Vià
Sandro ManservisiSandro Manservisi
Sandro Manservisi