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Sandro Manservisi

Researcher at University of Bologna

Publications -  118
Citations -  2084

Sandro Manservisi is an academic researcher from University of Bologna. The author has contributed to research in topics: Optimal control & Finite element method. The author has an hindex of 22, co-authored 112 publications receiving 1803 citations. Previous affiliations of Sandro Manservisi include Kaiserslautern University of Technology & Texas Tech University.

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Interface reconstruction with least-squares fit and split advection in three-dimensional Cartesian geometry

TL;DR: One advection method is discussed that conserves mass exactly for a divergence-free velocity field, thus allowing computations to machine precision in volume-of-fluid (VOF) reconstruction.
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A mixed markers and volume-of-fluid method for the reconstruction and advection of interfaces in two-phase and free-boundary flows

TL;DR: In this paper, a new mixed markers and volume-of-fluid (VOF) algorithm for the reconstruction and advection of interfaces in the two-dimensional space is presented.
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Analysis and Approximation of the Velocity Tracking Problem for Navier--Stokes Flows with Distributed Control

TL;DR: The existence of optimal solutions is proved and the first-order necessary conditions for optimality are used to derive an optimality system of partial differential equations whose solutions provide optimal states and controls.
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A geometrical area-preserving volume-of-fluid advection method

TL;DR: In this paper, a new class of algorithms that preserve mass exactly for incompressible flows on a Cartesian mesh is presented, which are equivalent to volume-of-fluid advection methods which are decomposed into an Eulerian implicit scheme in one direction followed by a Lagrangian explicit step in the other one.

Short Note A geometrical area-preserving Volume-of-Fluid advection method

TL;DR: In this paper, a new class of algorithms that preserve mass exactly for incompressible flows on a Cartesian mesh are presented, which are equivalent to volume-of-fluid advection methods which are decomposed into an Eulerian implicit scheme in one direction followed by a Lagrangian explicit step in the other one.