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Stefano Dal Pont

Researcher at University of Grenoble

Publications -  35
Citations -  540

Stefano Dal Pont is an academic researcher from University of Grenoble. The author has contributed to research in topics: Finite element method & Moisture. The author has an hindex of 11, co-authored 33 publications receiving 430 citations. Previous affiliations of Stefano Dal Pont include Centre national de la recherche scientifique & University of Paris.

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On the performance of strain smoothing for quadratic and enriched finite element approximations (XFEM/GFEM/PUFEM)

TL;DR: In this article, Chen et al. extended the strain smoothing to higher order elements and investigated numerically in which condition strain-smoothing is beneficial to accuracy and convergence of enriched finite element approximations.
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Analysis of moisture migration in concrete at high temperature through in-situ neutron tomography

TL;DR: In this article, the first 3D analysis of moisture distribution in concrete at high temperature through in-situ neutron tomography is presented, and quantitative analysis showing the effect of the aggregate size on the moisture distribution is presented.
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From discrete to continuum modelling of boundary value problems in geomechanics: An integrated FEM‐DEM approach

TL;DR: An approach coupling discrete elements at the microscale with finite elements (FEM) at the macroscale with DEM‐based numerical constitutive law is embedded into a standard FEM formulation.
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Macroscopic probabilistic cracking approach for the numerical modelling of fluid leakage in concrete

TL;DR: In this paper, a numerical finite element study of fluid leakage in concrete is presented, in which a macroscopic probabilistic approach is used to model the effect of cracking on the variation of transfer properties.
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A study of the influence of REV variability in double‐scale FEM ×DEM analysis

TL;DR: In this article, the consequences of using several different discrete element granular assemblies for the representation of the micro-scale structure, in the framework of multiscale modeling, have been investigated.