David Danan
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View article: NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis Open
The integration of machine learning (ML) into the physical sciences is reshaping computational paradigms, offering the potential to accelerate demanding simulations such as computational fluid dynamics (CFD). Yet, persistent challenges in …
View article: Body-fitted topology optimization of an airfoil
Body-fitted topology optimization of an airfoil Open
International audience
View article: An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling
An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Open
Physical models classically involved Partial Differential equations (PDE) and depending of their underlying complexity and the level of accuracy required, and known to be computationally expensive to numerically solve them. Thus, an idea w…
View article: NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design Open
The integration of machine learning (ML) techniques for addressing intricate physics problems is increasingly recognized as a promising avenue for expediting simulations. However, assessing ML-derived physical models poses a significant ch…
View article: ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design) Open
The use of machine learning (ML) techniques to solve complex physical problems has been considered recently as a promising approach. However, the evaluation of such learned physical models remains an important issue for industrial use. The…
View article: An Improved Normal Compliance Method for Dynamic Hyperelastic Problems with Energy Conservation Property
An Improved Normal Compliance Method for Dynamic Hyperelastic Problems with Energy Conservation Property Open
The purpose of this work is to present an improved energy conservation method for hyperelastodynamic contact problems based on specific normal compliance conditions. In order to determine this Improved Normal Compliance (INC) law, we use a…
View article: A deterministic approach for shape and topology optimisation under material uncertainty in additive manufacturing
A deterministic approach for shape and topology optimisation under material uncertainty in additive manufacturing Open
The present work aims at handling uncertain materials in shape and topology optimisation applied to additive manufacturing. More specifically, we minimise an objective function combining the mean values of standard cost functions and assum…
View article: A R&D software platform for shape and topology optimization using body-fitted meshes
A R&D software platform for shape and topology optimization using body-fitted meshes Open
International audience
View article: Analysis of a Dynamic Viscoelastic Contact Problem with Normal Compliance, Normal Damped Response, and Nonmonotone Slip Rate Dependent Friction
Analysis of a Dynamic Viscoelastic Contact Problem with Normal Compliance, Normal Damped Response, and Nonmonotone Slip Rate Dependent Friction Open
We consider a mathematical model which describes the dynamic evolution of a viscoelastic body in frictional contact with an obstacle. The contact is modelled with a combination of a normal compliance and a normal damped response law associ…