Výsledky vyhledávání - "Analyse de sensibilité globale"

Développement d'une méthode d'assimilation de données pour la calibration et la mise à jour en continu de modèles fidèles d'éoliennes

Autor: Hirvoas, Adrien

Publikováno v: Modeling and Simulation. Université Grenoble Alpes [2020-..], 2021. English. ⟨NNT : 2021GRALM007⟩

In the context of energy transition, wind power generation is developing rapidly. Meanwhile, in the framework of digitalization of the industry, the exploitation of collected data can be optimized by combination with numerical models. Such models can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::feff355f4610075c8890451387af470f
https://tel.archives-ouvertes.fr/tel-03297172/document

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Metamodelling and sensitivity analysis for models with spatial output. Application to coastal flooding models

Autor: Perrin, Tran Vi-Vi Elodie

Publikováno v: Mathématiques générales [math.GM]. Université de Lyon, 2021. Français. ⟨NNT : 2021LYSEM016⟩

Motivated by the risk assessment of coastal flooding, the numerical hydrodynamic models of the BRGM and the CCR are considered. Their outputs are flood maps. The aim is to perform a sensitivity analysis (SA) to quantify and hierarchize the influence

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9bbc74f9b76e0d0917bdff03aa5a36aa
https://theses.hal.science/tel-03424734

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New developments around dependence measures for sensitivity analysis: application to severe accident studies for generation IV reactors (English version)

Autor: Meynaoui, Anouar

Publikováno v: Statistics [math.ST]. INSA Toulouse, 2019. English

As part of safety studies for nuclear reactors, numerical simulators are essential for understanding, modelling and predicting physical phenomena. However, the information on some of the input variables of the simulator is often limited or uncertain.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::686eccf310cda6d91e74d89dd93e5b6e
https://hal-cea.archives-ouvertes.fr/tel-02928187

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Nouveaux développements autour des mesures de dépendance pour l’analyse de sensibilité : application aux études d’accidents graves pour les réacteurs de génération IV

Autor: Meynaoui, Anouar

Publikováno v: General Mathematics [math.GM]. INSA de Toulouse, 2019. English. ⟨NNT : 2019ISAT0028⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::236a08242584aadc0fad16274f8b74eb
https://theses.hal.science/tel-02869548v2/file/2019AnouarMeynaoui.pdf

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Nouveaux développements autour des mesures de dépendance pour l’analyse de sensibilité : application aux études d’accidents graves pour les réacteurs de génération IV (version en anglais)

Autor: Meynaoui, Anouar

Publikováno v: Statistics [math.ST]. INSA Toulouse, 2019. English

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::686eccf310cda6d91e74d89dd93e5b6e
https://hal-cea.archives-ouvertes.fr/tel-02928187

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Probabilistic approach for fatigue life estimation of wind turbine blades using deep neural network

Autor: Veloz Parra, Wilson Javier

Publikováno v: Mechanical engineering [physics.class-ph]. Normandie Université, 2020. English. ⟨NNT : 2020NORMIR29⟩

In the last few decades, wind turbines have evolved, increasing their size, being more costeffective, and more Eco-friendly. As a consequence of this massive growth, design-engineers encounter new challenges to continue the cost-effectiveness of turb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::08989717b226618b76a18ec4086154b9
https://tel.archives-ouvertes.fr/tel-03272434

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Estimation des incertitudes de modélisation du bruit des éoliennes

Autor: Bill Kayser

Publikováno v: Acoustique [physics.class-ph]. Université du Maine, 2020. Français. ⟨NNT : 2020LEMA1035⟩
HAL
Acoustique [physics.class-ph]. Université du Maine, 2020. Français

There is a major societal challenge to study the emission and propagation of noise emitted by wind turbines, and in particular to quantify the uncertainty in the estimation of sound levels. Although these sound levels are relatively low compared to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3fe60d68f12ed76b4e7e2b6d99d0e421
https://hal.archives-ouvertes.fr/tel-03199289v2/document

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Identifiability of the thermal performance of a building envelope from poorly informative data

Autor: Juricic, Sarah

Publikováno v: Thermics [physics.class-ph]. Université Savoie Mont Blanc, 2020. English. ⟨NNT : 2020CHAMA014⟩

The purpose of the thesis is to develop a building energy performance assessment based on in situ non intrusive measurements. An inverse method using the acquired data allows us to determine the building's characteristics, with more or less accuracy.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::8b6e1e28339a24d65b29b32e25eeadc6
https://tel.archives-ouvertes.fr/tel-03181809/document

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Uncertainty quantification and data assimilation for bidimensional hydrodynamics : application to the Gironde Estuary high levels forecast numerical model

Autor: Laborie, Vanessya

Publikováno v: Ingénierie de l'environnement. Université Paris-Est, 2020. Français. ⟨NNT : 2020PESC1006⟩

The accuracy of predictions is a major stake of flood forecast. This thesis deals with the development of data assimilation techniques in bidimensional numerical codes based on shallow water equations and, more specifically, the assessment of possibl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6112a39b2a7be5149dee0c119e4ccb90
https://pastel.archives-ouvertes.fr/tel-03020223/file/TH2020PESC1006.pdf

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