SAM: Soumissions récentes
Voici les éléments 861-867 de 6547
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Article dans une revue avec comité de lecture
GOULMY, Jean-Patrick; DEPRIESTER, Dorian; ; JÉGOU, Sébastien; BARRALLIER, Laurent (Elsevier BV, 2022-12)
Understanding the mechanisms at the microstructure scale is of great importance for modeling the behavior of materials at different scales. To this end, digital image correlation (DIC) is an effective measurement method ... -
Article dans une revue avec comité de lectureGOULMY, Jean-Patrick; ; ; ; ; (Elsevier BV, 2023-03)
Shot peening of turbine disk engines is performed in the aerospace industry in order to enhance fatigue life. This surface enhancement method generates beneficial modifications like superficial compressive residual stresses ...
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Article dans une revue avec comité de lectureMOHAMMADI ALAMOOTI, Amir Hossein; ; ; AHMADI-SENICHAULT, Azita; ; (Elsevier BV, 2022-10)
Nowadays the remediation of DNAPL contaminated zones near groundwater has gained great prominence in environmental fields due to the high importance of water resources. In this work, we suggest injecting a densified polymer ...
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Sparse Bayesian Learning of Explicit Algebraic Reynolds-Stress models for turbulent separated flows Article dans une revue avec comité de lecture; ;CINNELLA, Paola; GLOERFELT, Xavier (Elsevier BV, 2022-12)
A novel Sparse Bayesian Learning (SBL) framework is introduced for generating parsimonious stochastic algebraic stress closures for the Reynolds-Averaged Navier–Stokes (RANS) equations from high-fidelity data. The models ...
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Article dans une revue avec comité de lectureDE ZORDO-BANLIAT, Maximilien; ; DERGHAM, Grégory; CINNELLA, Paola (Elsevier BV, 2020-04)
The Reynolds-Averaged Navier-Stokes (RANS) equations represent the computational workhorse for engineering design, despite their numerous flaws. Improving and quantifying the uncertainties associated with RANS models is ...
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Article dans une revue avec comité de lectureBEN HASSAN SAIDI, Ismaïl; SCHMELZER, Martin; CINNELLA, Paola; (Elsevier Inc., 2022-02)
Reynolds-stress models (EARSM) from high-fidelity data is developed building on the frozen-training SpaRTA algorithm of [1]. Corrections for the Reynolds stress tensor and the production of transported turbulent quantities ...
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Article dans une revue avec comité de lectureBONNET-LEBRUN, Aurore; LINGLART, Agnès; ; ; ; ASSI, Ayman; ; SKALLI, Wafa (Elsevier BV, 2021-12)
Introduction X-linked hypophosphatemia (XLH) rickets mainly causes leg deformities in children that can get worse as they grow. We hypothesized that quantifying the bone parameters will help to document and monitor these ...
