Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Christophe Desceliers"'
Publikováno v:
Aerospace, Vol 11, Iss 9, p 717 (2024)
The main novelty of this paper consists of presenting a statistical artificial neural network (ANN)-based model for a robust prediction of the frequency-dependent aeroacoustic liner impedance using an aeroacoustic computational model (ACM) dataset of
Externí odkaz:
https://doaj.org/article/66175b194a454cd6a6ce35a56d41a42a
Publikováno v:
Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), 2020, 30 (5), pp.1433-1457. ⟨10.1007/s11222-020-09954-6⟩
Statistics and Computing, 2020, 30 (5), pp.1433-1457. ⟨10.1007/s11222-020-09954-6⟩
Statistics and Computing, Springer Verlag (Germany), 2020, 30 (5), pp.1433-1457. ⟨10.1007/s11222-020-09954-6⟩
Statistics and Computing, 2020, 30 (5), pp.1433-1457. ⟨10.1007/s11222-020-09954-6⟩
International audience; This paper tackles the challenge presented by small-data to the task of Bayesian inference. A novel methodology, based on manifold learning and manifold sampling, is proposed for solving this computational statistics problem u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44375e4a1bb83c32a8d7ae34de1596d8
https://doi.org/10.1007/s11222-020-09954-6
https://doi.org/10.1007/s11222-020-09954-6
Dispersion of guided-waves in heterogeneous and anisotropic elastic plates: A probabilistic approach
Publikováno v:
European Journal of Mechanics-A/Solids
European Journal of Mechanics-A/Solids, Elsevier, 2022, 91, pp.104382. ⟨10.1016/j.euromechsol.2021.104382⟩
European Journal of Mechanics-A/Solids, Elsevier, 2022, 91, pp.104382. ⟨10.1016/j.euromechsol.2021.104382⟩
In this paper, we present a new approach to study Lamb-type waves of anisotropic elastic plates in a probabilistic framework. The study and analysis are carried out on an elastic plate whose randomly varied elastic properties in the through-thickness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10263909ba1887409f25b8fb4d2201a5
https://hal.archives-ouvertes.fr/hal-03519350
https://hal.archives-ouvertes.fr/hal-03519350
Autor:
Christophe Desceliers, Florent Pled
Publikováno v:
Archives of Computational Methods in Engineering
Archives of Computational Methods in Engineering, Springer Verlag, 2021, ⟨10.1007/s11831-021-09581-y⟩
Archives of Computational Methods in Engineering, Springer Verlag, 2022, ⟨10.1007/s11831-021-09581-y⟩
Archives of Computational Methods in Engineering, Springer Verlag, 2021, ⟨10.1007/s11831-021-09581-y⟩
Archives of Computational Methods in Engineering, Springer Verlag, 2022, ⟨10.1007/s11831-021-09581-y⟩
International audience; This review article revisits and outlines the perfectly matched layer (PML) method and its various formulations developed over the past 25 years for the numerical modeling and simulation of wave propagation in unbounded media.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cab4dfd74e3b010424ab4ef865c3a076
https://hal-upec-upem.archives-ouvertes.fr/hal-03196974/file/article_HAL.pdf
https://hal-upec-upem.archives-ouvertes.fr/hal-03196974/file/article_HAL.pdf
Publikováno v:
Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, 373, pp.113540. ⟨10.1016/j.cma.2020.113540⟩
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, 373, pp.113540. ⟨10.1016/j.cma.2020.113540⟩
International audience; This work addresses the inverse identification of apparent elastic properties of random heterogeneous materials using machine learning based on artificial neural networks. The proposed neural network-based identification metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c65c6aed236a9454faa5687dc4f6837
https://hal.archives-ouvertes.fr/hal-03000299v2/document
https://hal.archives-ouvertes.fr/hal-03000299v2/document
Publikováno v:
ISNVH 2020, 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
ISNVH 2020, 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference, Nov 2020, online event via MS Teams, United States. SAE Technical Paper 2020-01-1583
HAL
ISNVH 2020, 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference, Nov 2020, online event via MS Teams, United States. SAE Technical Paper 2020-01-1583
HAL
Online event via MS Teams, ISSN: 0148-7191, e-ISSN: 2688-3627; International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ac371ae1df41344086cd3718c94141
https://hal-upec-upem.archives-ouvertes.fr/hal-03137839
https://hal-upec-upem.archives-ouvertes.fr/hal-03137839
Publikováno v:
European Journal of Mechanics - A/Solids. 69:147-167
In previous work, we proposed a stochastic model to describe the elasticity of bone matrix (so-called ultrastructure, US) based on basic statistical information on the tissue mineral density ( TMD ). This information was obtained by analyzing high-re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::549c8108fa96bf4165df679996d1593b
https://doi.org/10.1016/j.euromechsol.2017.10.004
https://doi.org/10.1016/j.euromechsol.2017.10.004
Publikováno v:
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Jul 2019, Hersonissos, Crete Island, Greece
HAL
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Jul 2019, Hersonissos, Crete Island, Greece
HAL
International audience; This work aims at predicting the damage of a human cortical bone specimen from in vivo actual data measurements and using a neural network trained and validated from a stochastic computational mechanical model. Within the cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::02deffb8b06a26bd172e413f4ca4cf6b
https://hal-upec-upem.archives-ouvertes.fr/hal-02175561
https://hal-upec-upem.archives-ouvertes.fr/hal-02175561
Multilevel model reduction for uncertainty quantification in computational vibro-acoustical dynamics
Publikováno v:
UNCECOMP 2019, 3nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
UNCECOMP 2019, 3nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2019, Island of Crete, Greece
HAL
UNCECOMP 2019, 3nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2019, Island of Crete, Greece
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6159e92c7f3176268c40c4f0bdbc63a1
https://hal-upec-upem.archives-ouvertes.fr/hal-02175565
https://hal-upec-upem.archives-ouvertes.fr/hal-02175565
Publikováno v:
CSMA 2019, 14ème Colloque National en Calcul des Structures
CSMA 2019, 14ème Colloque National en Calcul des Structures, May 2019, Presqu’île de Giens (Var) Giens (Var), France. pp.1-7
HAL
CSMA 2019, 14ème Colloque National en Calcul des Structures, May 2019, Presqu’île de Giens (Var) Giens (Var), France. pp.1-7
HAL
National audience; Dans un contexte probabiliste, l’amélioration des capacités de prédiction des modèles vibroacoustiques nécessite un indicateur adapté pour comparer les mesures avec les prédictions. La comparaison est faite en utilisant la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::037d647f50c60c1f8ac13ac63b5208b1
https://hal-upec-upem.archives-ouvertes.fr/hal-02175596
https://hal-upec-upem.archives-ouvertes.fr/hal-02175596