Results 31 to 40 of about 19,884,535 (281)
Physics-based manifold learning in scaffolds for tissue engineering: Application to inverse problems
Frontiers in Materials, 2022 In the field of bone regeneration, insertion of scaffolds favours bone formation by triggering the differentiation of mesenchymal cells into osteoblasts.
Alba Muixí +5 more
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Reduced-Order Modeling of Gust Responses [PDF]
Journal of Aircraft, 2017 This paper describes two approaches to the construction of reduced-order models from computational fluid dynamics to predict the gust response of airfoils and wings.
Wales, Christopher +2 more
openaire +2 more sources
Reduced Order Models at work [PDF]
, 2013 International audienceWe review a few applications of reduced-order modeling in aeronautics and medicine. The common idea is to determine an empirical approximation space for a model described by partial differential equations.
Iollo, Angelo +5 more
core +3 more sources
Two-to-one resonant multi-modal dynamics of horizontal/inclined cables. Part II : internal resonance activation, reduced-order models and nonlinear normal modes [PDF]
, 2007 Resonant multi-modal dynamics due to planar 2:1 internal resonances in the nonlinear, finite-amplitude, free vibrations of horizontal/inclined cables are parametrically investigated based on the second-order multiple scales solution in Part I [1].
Rega, Giuseppe, Srinil, Narakorn
core +4 more sources
Probabilistic Rotor Life Assessment Using Reduced Order Models
Shock and Vibration, 2009 Probabilistic failure assessments for integrally bladed disks are system reliability problems where a failure in at least one blade constitutes a rotor system failure.
Brian K. Beachkofski
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Reduced order models for thermally coupled low Mach flows
Advanced Modeling and Simulation in Engineering Sciences, 2018 In this paper we present a collection of techniques used to formulate a projection-based reduced order model (ROM) for zero Mach limit thermally coupled Navier–Stokes equations. The formulation derives from a standard proper orthogonal decomposition (POD)
Ricardo Reyes +3 more
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Convolutional Autoencoders for Reduced-Order Modeling
CoRR, 2021 In the construction of reduced-order models for dynamical systems, linear projection methods, such as proper orthogonal decompositions, are commonly employed. However, for many dynamical systems, the lower dimensional representation of the state space can most accurately be described by a \textit{nonlinear} manifold.
Sreeram Venkat +2 more
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Characteristics of linear modal instabilities in hypersonic flows with detached shock waves
Results in Engineering, 2021 A preliminary study on the linear instabilities present in a defined hypersonic flow over a blunt object is analyzed in this work. Such flow instabilities are defined in the detached shock wave and the defined shock region between the shock wave and the ...
José M. Pérez, Cristina Jimenez
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Wall‐based reduced‐order modelling [PDF]
International Journal for Numerical Methods in Fluids, 2015 SummaryIn this work, we propose a novel approach to model order reduction for incompressible fluid flows, which focuses on the spatio‐temporal description of the stresses on the surface of a body, that is, of the wall shear stress and of the wall pressure.
Lasagna, Davide, Tutty, Owen
openaire +3 more sources
Regularization method for calibrated POD reduced-order models
MATEC Web of Conferences, 2014 In this work we present a regularization method to improve the accuracy of reduced-order models based on Proper Orthogonal Decomposition. The bench mark configuration retained corresponds to a case of relatively simple dynamics: a two-dimensional flow ...
El Majd Badr Abou, Cordier Laurent
doaj +1 more source