Results 11 to 20 of about 1,899,215 (187)
Reduced-Order Modeling of Hidden Dynamics [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 International audienceThe objective of this paper is to investigate how noisy and incomplete observations can be integrated in the process of building a reduced-order model. This problematic arises in many scientific domains where there exists a need for
Herzet, Cédric, Héas, Patrick
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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.
Gaitonde, Ann +2 more
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Reduced order modeling strategies for computational multiscale fracture [PDF]
Computer Methods in Applied Mechanics and Engineering, 2017 The paper proposes some new computational strategies for affordably solving multiscale fracture problems through a FE2 approach. To take into account the mechanical effects induced by fracture at the microstructure level the Representative Volume Element
Caicedo Silva, Manuel Alejandro +4 more
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Inverse Reduced-Order Modeling [PDF]
, 2015 International audienceWe propose a general probabilistic formulation of reduced-order modeling in the case the system state is hidden and characterized by some uncertainty. The objective is to integrate noisy and incomplete observations in the process of
Herzet, Cédric, Héas, Patrick
core +3 more sources
Reduced Order Modeling for Heston Stochastic Volatility Model [PDF]
Hacettepe Journal of Mathematics and Statistics, 2016 In this paper we compare two model order reduction techniques, the Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD), for Heston's option pricing model. The full order model is obtained by discontinuous Galerkin discretization in
Karasözen, Bülent +3 more
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Component-Based Reduced Order Modeling of Large-Scale Complex Systems
Frontiers in Physics, 2022 Large-scale engineering systems, such as propulsive engines, ship structures, and wind farms, feature complex, multi-scale interactions between multiple physical phenomena.
Cheng Huang +2 more
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A Method to Minimize the Effort for Damper–Blade Matching Demonstrated on Two Blade Sizes
Applied Sciences, 2021 A method called PCR (Platform Centered Reduction) is designed to more effectively perform complex iterative and nonlinear calculations required for the dynamic response of turbine blades damped by dry friction contacts between rigid dampers and airfoil ...
Chiara Gastaldi, Muzio M. Gola
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Reduced-order modelling numerical homogenization [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2014 A general framework to combine numerical homogenization and reduced-order modelling techniques for partial differential equations (PDEs) with multiple scales is described. Numerical homogenization methods are usually efficient to approximate the effective solution of PDEs with multiple scales.
Abdulle Assyr, Bai Yun
openaire +2 more sources
A Bayesian Nonlinear Reduced Order Modeling Using Variational AutoEncoders
Fluids, 2022 This paper presents a new nonlinear projection based model reduction using convolutional Variational AutoEncoders (VAEs). This framework is applied on transient incompressible flows.
Nissrine Akkari +3 more
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Reduced finite element square techniques (RFE2): towards industrial multiscale fe software [PDF]
, 2019 Reduced order modeling techniques proposed by the authors are assessed for an industrial case study of a 3D reinforced composite laminate. Essentially, the main dominant strain micro-structural modes are obtained through standard reduced order modeling ...
Huespe, Alfredo Edmundo +3 more
core +5 more sources