Literatura académica sobre el tema "Non-Intrusive PGD"
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Artículos de revistas sobre el tema "Non-Intrusive PGD"
Garikapati, Hasini, Sergio Zlotnik, Pedro Díez, Clemens V. Verhoosel y E. Harald van Brummelen. "A Proper Generalized Decomposition (PGD) approach to crack propagation in brittle materials: with application to random field material properties". Computational Mechanics 65, n.º 2 (26 de octubre de 2019): 451–73. http://dx.doi.org/10.1007/s00466-019-01778-0.
Texto completoPałka, Norbert y Marcin Kowalski. "Towards Fingerprint Spoofing Detection in the Terahertz Range". Sensors 20, n.º 12 (15 de junio de 2020): 3379. http://dx.doi.org/10.3390/s20123379.
Texto completoGhnatios, Chady, Elias Cueto, Antonio Falco, Jean-Louis Duval y Francisco Chinesta. "Spurious-free interpolations for non-intrusive PGD-based parametric solutions: Application to composites forming processes". International Journal of Material Forming, 3 de junio de 2020. http://dx.doi.org/10.1007/s12289-020-01561-0.
Texto completoEl Fallaki Idrissi, M., F. Praud, V. Champaney, F. Chinesta y F. Meraghni. "Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites". Composite Structures, septiembre de 2022, 116228. http://dx.doi.org/10.1016/j.compstruct.2022.116228.
Texto completoGirfoglio, M., L. Scandurra, F. Ballarin, G. Infantino, F. Nicolo, A. Montalto, G. Rozza, R. Scrofani, M. Comisso y F. Musumeci. "Non-intrusive data-driven ROM framework for hemodynamics problems". Acta Mechanica Sinica, 13 de julio de 2021. http://dx.doi.org/10.1007/s10409-021-01090-2.
Texto completoManoj G, Yashas D. S, Jeevan K. P, Likith M y Dr. Raghavendra R. J. "A Survey on Anti-Spoofing Methods for Facial Recognition". International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 15 de abril de 2022, 259–68. http://dx.doi.org/10.32628/cseit228248.
Texto completoTesis sobre el tema "Non-Intrusive PGD"
El, fallaki idrissi Mohammed. "Réduction de Modèles et Réseaux Neuronaux Artificiels pour une Simulation Multi-échelle Rapide et Précise des Matériaux Composites à Microstructure Périodique". Electronic Thesis or Diss., Paris, HESAM, 2024. http://www.theses.fr/2024HESAE012.
Texto completoAlthough woven reinforced composites are experiencing rapid growth across various engineering and industrial domains, their widespread adoption is often hindered by challenges in accurately predicting their mechanical behavior. This obstacle primarily stems from the heterogeneous nature of these materials. Consequently, employing multi-scale approaches becomes imperative to predict their overall response under complex loading conditions, incorporating detailed descriptions of microstructure and the constitutive laws governing their components. However, effectively incorporating these methodologies into real-scale applications, particularly within FE² analyses, remains challenging due to the significant computational requirements they entail. This challenge intensifies when numerous direct calculations are necessary for testing various configurations, a critical aspect in optimization, inverse analysis, or real-time simulations. The need for such calculations adds to the computational demands, posing a significant obstacle to integrated into practical applications. To address these issues, while considering the scale effects, this thesis aims to develop efficient numerical tools to achieve accurate and fast predictions of woven composite response. First, we develop virtual twins (multiparametric solution) for real-time prediction of composite response, using non-intrusive Proper Generalized Decomposition (PGD) based methods. This aims at providing an accurate approximation of high-dimensional problems, that involved several microstructural parameters, with limited dataset. These multiparametric solutions are constructed for both linear and nonlinear behavior including history- and rate-dependent behaviors. Second, we develop an approach based on ANN to perform a macroscopic surrogate model of composites. This model, referred to as Multiscale Thermodynamics Informed Neural Networks (MuTINN), is founded on thermodynamic principles and introduces specific quantities of interest that serve as internal state variables at the macroscopic level. This captures efficiently the state and evolution laws governing the history-dependent behavior of these composites while retaining the thermodynamic admissibility and the physical interpretability of their overall responses. This approach has successfully associated with FE code, streamlining the application of multiscale FE-MuTINN approach for composite structure computations. The prediction capabilities of the proposed approach are demonstrated across the material scales, exemplified through diverse instances of woven composite structures. These applications account for anisotropic yarn damage and an elastoplastic polymer matrix behavior. This promises a potential solution to alleviate the computational challenges associated with multiscale simulations of large composite structures and paving the way for the development of a hybrid twin solution
Sandino, de Benito Carlos. "Global-local separated representations based on the Proper Generalized Decomposition". Thesis, Ecole centrale de Nantes, 2019. http://www.theses.fr/2019ECDN0064.
Texto completoOne of the main advantages of the Proper Generalized Decomposition method, when compared to other model reduction methods, lies in its adequacy to compute space separated representations in Cartesian-like degenerated domains, such as plates or shells. The main objective of this thesis is to generalize space separated representations to non-Cartesian domains, by introducing the notion of Global-Local separated representations. Global-Local separated representations can be understood as a multiplicative decomposition in which the local modes capture the solution at the finer scale, while the global modes solve the coarser scale. To this aim, two strategies are proposed. The first proposal is based on the partition of unity, and combines the global and local discretization levels, based on a partition of the domain. It builds a separated representation that provides the local enrichment, without the need for a priori knowledge of the solution, nor the implementation of auxiliary local problems to determine the enrichment. The second strategy is devoted to the construction of Global-Local separated representations in a less intrusive manner, compatible with the finite element standard. Therefore, we rely on standard FEM assembly of the operators and use the PGD as an algebraic iterative solver. Continuity on the boundaries of the domain’s partition does not need to be imposed explicitly, as it comes as a built-in property of the FEM operators
Talwar, Gaurav. "HMM-based non-intrusive speech quality and implementation of Viterbi score distribution and hiddenness based measures to improve the performance of speech recognition". Laramie, Wyo. : University of Wyoming, 2006. http://proquest.umi.com/pqdweb?did=1288654981&sid=7&Fmt=2&clientId=18949&RQT=309&VName=PQD.
Texto completoActas de conferencias sobre el tema "Non-Intrusive PGD"
Hercus, Samuel J. y Paola Cinnella. "Robust Shape Optimization of Uncertain Dense Gas Flows Through a Plane Turbine Cascade". En ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-05007.
Texto completoAnderson, Jason M., Ricardo Burdisso y Wing Ng. "An Active Flow Distortion Control System for Serpentine Inlets". En ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33049.
Texto completoPaboeuf, Stéphane, Maxime Deydier, Quentin Sourisseau, Marie-Odette Quéméré, Jean-Philippe Court y Christophe Paillusseau. "Strength Assessment Methods for Adhesively Bonded Repair". En ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-102256.
Texto completoLiu, Chuxi, Hongbing Xie, Zhenyu Mao, Wei Yu, Ning Li, Yiwen Gong, Joseph Leines, Jijun Miao y Kamy Sepehrnoori. "EDFM-AI for Calibration of Hydraulic and Natural Fracture Geometry". En 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0083.
Texto completoTan, Kok Liang, Sulaiman Sidek, Syakirin M. Nazri y Haziqah Hamzah. "Challenges and Lesson Learnt of 1st IWAG Implementation in a Mature Oil Field, East Malaysia". En International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21332-ms.
Texto completoYekta, Kaveh, Ray Phung, Benjamin Stang y Tyler Woitas. "Application of Real-Time Solid Measurement and Return Flow Rate During Coiled Tubing Milling Operations". En SPE/ICoTA Well Intervention Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204451-ms.
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