Unstructured h-and hp-adaptive strategies for discontinuous Galerkin methods based on a posteriori error estimation for compressible flows

F Basile, JB Chapelier, M de la Llave Plata… - Computers & …, 2022 - Elsevier
In this paper, we present h-and hp-adaptive strategies suited for the discontinuous Galerkin
formulation of the compressible laminar and Reynolds-averaged Navier–Stokes equations …

[HTML][HTML] Including detailed chemistry features in the modeling of emerging low-temperature reactive flows: A review on the application to diluted and MILD combustion …

G Sorrentino, GB Ariemma, F Ferraro… - Applications in Energy and …, 2024 - Elsevier
Developing and optimizing new reactive systems with carbon-neutral fuels like biofuels, e-
fuel, hydrogen, or ammonia is crucial for sustainable energy. This requires advanced …

Shape optimization using a level set based mesh evolution method: an overview and tutorial

C Dapogny, F Feppon - Comptes …, 2023 - comptes-rendus.academie-sciences …
This article revolves around a recent numerical framework for shape and topology
optimization, which features an exact mesh of the shape at each iteration of the process …

Shape optimization under a constraint on the worst-case scenario

F Caubet, M Dambrine, G Gargantini… - SIAM Journal on Scientific …, 2024 - SIAM
This work falls within the general framework of robust shape optimization under constraints,
where a physical parameter of the problem is poorly known. In particular, we study problems …

Using graph neural networks for wall modeling in compressible anisothermal flows

D Dupuy, N Odier, C Lapeyre - Data-Centric Engineering, 2024 - cambridge.org
Compressible anisothermal flows, which are commonly found in industrial settings such as
combustion chambers and heat exchangers, are characterized by significant variations in …

Topology optimization designed twisted conformal cooling channel for additive-manufactured hot-stamping tool

D Yu, M Rachik, A Blaise, B Sarre, G Brun - Applied Thermal Engineering, 2025 - Elsevier
Hot stamping is a manufacturing process that can be used to produce complex-shaped parts
with high mechanical properties. In this process, the part quality and the production rate are …

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels

RC Perez, S Da Veiga, J Garnier… - … Conference on Artificial …, 2024 - proceedings.mlr.press
Supervised learning has recently garnered significant attention in the field of computational
physics due to its ability to effectively extract complex patterns for tasks like solving partial …

[HTML][HTML] Level set-fitted polytopal meshes with application to structural topology optimization

N Ferro, S Micheletti, N Parolini, S Perotto… - … & Mathematics with …, 2024 - Elsevier
We propose a method to modify a polygonal mesh in order to fit the zero-isoline of a level set
function by extending a standard body-fitted strategy to a tessellation with arbitrarily-shaped …

[HTML][HTML] Towards a workflow to evaluate geological layering uncertainty on CO2 injection simulation

C Legentil, J Pellerin, M Raguenel… - Applied Computing and …, 2023 - Elsevier
We propose a workflow for updating 3D geological meshed models to test different layering
scenarios and to assess their impact on the simulation of CO 2 injection. This workflow …

High Altitude Relight Performance of Hydrogen-Air Micromix Combustion Systems

NCW Treleaven, S Puggelli… - … Expo: Power for …, 2023 - asmedigitalcollection.asme.org
In order to reduce the environmental impact of commercial aviation, hydrogen is being
considered as a replacement fuel for kerosene in commercial aircraft. Due to the significantly …