V
Victorio E. Sonzogni
Researcher at National Scientific and Technical Research Council
Publications - 42
Citations - 284
Victorio E. Sonzogni is an academic researcher from National Scientific and Technical Research Council. The author has contributed to research in topics: Finite element method & Boundary value problem. The author has an hindex of 9, co-authored 42 publications receiving 277 citations. Previous affiliations of Victorio E. Sonzogni include Intec, Inc. & National University of the Littoral.
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A parallel finite element program on a Beowulf cluster
TL;DR: The code presented here is a general framework where specific applications may be written, in particular CFD applications regarding Laplace equations, Navier-Stokes and shallow water flows have been implemented.
Book
A parallel finite element program on a Beowulf cluster
TL;DR: In this paper, the authors present a parallel finite element finite element code on a Beowulf cluster made up of seven Pentium III processors connected by Fast Ethernet for CFD applications regarding Laplace equations, Navier-Stokes and shallow water flows.
Strong Discontinuity Approach In Dynamic Fracture Simulations.
TL;DR: In this article, a cohesive model for simulating dynamic fracture problems is proposed, which is particularly apt to capture the most important features of the dynamic crack propagation problem, such as the crack tip velocity and the crack branching phenomena.
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A macroscopic damage‐plastic constitutive law for modeling quasi‐brittle fracture and ductile behavior of concrete
TL;DR: In this article, a phenomenological macroscopic constitutive model for the numerical simulation of quasi-brittle fracture and ductile concrete behavior, under general triaxial stress conditions, is presented.
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Composite mesh concept based FEM error estimation and solution improvement
TL;DR: The use of composite finite element models where meshes with different granularities are allowed to share the same problem domain, is introduced and improved solutions may be obtained without increasing the computational cost of the problem or requiring postprocessing of the results.