Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Changhong Mou"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract A hybrid data assimilation algorithm is developed for complex dynamical systems with partial observations. The method starts with applying a spectral decomposition to the entire spatiotemporal fields, followed by creating a machine learning
Externí odkaz:
https://doaj.org/article/7c222e0853214b998ccc7e43ecfee2fa
Publikováno v:
Fluids, Vol 6, Iss 1, p 16 (2020)
Reduced order models (ROMs) are computational models whose dimension is significantly lower than those obtained through classical numerical discretizations (e.g., finite element, finite difference, finite volume, or spectral methods). Thus, ROMs have
Externí odkaz:
https://doaj.org/article/015d7088f6204db3ab6bf2c1b8f03458
Publikováno v:
Fluids, Vol 5, Iss 4, p 189 (2020)
There are two main strategies for improving the projection-based reduced order model (ROM) accuracy—(i) improving the ROM, that is, adding new terms to the standard ROM; and (ii) improving the ROM basis, that is, constructing ROM bases that yield m
Externí odkaz:
https://doaj.org/article/4aa6c75eb5294c04907b18f433642fa3
Autor:
William, Snyder, Jeffrey A, McGuire, Changhong, Mou, David A, Dillard, Traian, Iliescu, Raffaella, De Vita
Publikováno v:
International Journal for Numerical Methods in Biomedical Engineering. 39
The vagina undergoes large finite deformations and has complex geometry and microstructure, resulting in material and geometric nonlinearities, complicated boundary conditions, and nonhomogeneities within finite element (FE) simulations. These nonlin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f90f36c3dddb990e17ac43c5b2d8a77f
https://doi.org/10.1002/cnm.3660
https://doi.org/10.1002/cnm.3660
Publikováno v:
Journal of Scientific Computing
Journal of Scientific Computing, Springer Verlag, 2022, 93 (2), pp.54. ⟨10.1007/s10915-022-02019-y⟩
Journal of Scientific Computing, Springer Verlag, 2022, 93 (2), pp.54. ⟨10.1007/s10915-022-02019-y⟩
International audience; In this paper, we focus on the mathematical foundations of reduced order model (ROM) closures. First, we extend the verifiability concept from large eddy simulation to the ROM setting. Specifically, we call a ROM closure model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cc7d26bcd75305424e597be4322bb7a
https://hal-ifp.archives-ouvertes.fr/hal-03854187/document
https://hal-ifp.archives-ouvertes.fr/hal-03854187/document
Publikováno v:
Recent Advances in Mechanics and Fluid-Structure Interaction with Applications ISBN: 9783031143236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2887bbe5e63baa2266b599f05ed41e67
https://doi.org/10.1007/978-3-031-14324-3_8
https://doi.org/10.1007/978-3-031-14324-3_8
Publikováno v:
Fluids, Vol 6, Iss 16, p 16 (2021)
Fluids
Volume 6
Issue 1
Fluids
Volume 6
Issue 1
Reduced order models (ROMs) are computational models whose dimension is significantly lower than those obtained through classical numerical discretizations (e.g., finite element, finite difference, finite volume, or spectral methods). Thus, ROMs have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ff2d933070c4475b21ec77a9a54064
https://www.mdpi.com/2311-5521/6/1/16
https://www.mdpi.com/2311-5521/6/1/16
Publikováno v:
Fluids, Vol 5, Iss 189, p 189 (2020)
Fluids
Volume 5
Issue 4
Fluids
Volume 5
Issue 4
There are two main strategies for improving the projection-based reduced order model (ROM) accuracy&mdash
(i) improving the ROM, that is, adding new terms to the standard ROM
and (ii) improving the ROM basis, that is, constructing ROM bases
(i) improving the ROM, that is, adding new terms to the standard ROM
and (ii) improving the ROM basis, that is, constructing ROM bases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af53817897f1cc2085504d7227b92c2c
https://www.mdpi.com/2311-5521/5/4/189
https://www.mdpi.com/2311-5521/5/4/189
We propose a new data-driven reduced order model (ROM) framework that centers around the hierarchical structure of the variational multiscale (VMS) methodology and utilizes data to increase the ROM accuracy at a modest computational cost. The VMS met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1f9a8829d7f7561a4fb7d6e848bb641
http://arxiv.org/abs/2002.06457
http://arxiv.org/abs/2002.06457