Non-Intrusive Reduced-Order Modeling Based on Parametrized Proper Orthogonal Decomposition
Energies, 2023 A new non-intrusive reduced-order modeling method based on space-time parameter decoupling for parametrized time-dependent problems is proposed. This method requires the preparation of a database comprising high-fidelity solutions.
Teng Li +4 more
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Bridge Health Monitoring Using Proper Orthogonal Decomposition and Transfer Learning
Applied Sciences, 2023 This study focuses on developing and examining the effectiveness of Transfer Learning (TL) for structural health monitoring (SHM) systems that transfer knowledge about damage states from one structure (i.e., the source domain) to another structure (i.e.,
Samira Ardani +2 more
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Comparative Study on Modal Decomposition Methods of Unsteady Separated Flow in Compressor Cascade
Xibei Gongye Daxue Xuebao, 2020 The present work investigated the vortex structure and fluctuation frequency characteristics generated by boundary layer separation of a high-load compressor cascade using modal decomposition methods.
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Sparse sensor-based flow estimation with spectral proper orthogonal decomposition
AIP Advances, 2022 The application of Artificial Neural Networks (ANNs) in developing sensor-based estimators for unsteady flows has become an active area of research over the last decade.
Henrique Gambassi +2 more
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A randomized proper orthogonal decomposition technique [PDF]
2015 American Control Conference (ACC), 2015 In this paper, we consider the problem of model reduction of large scale systems, such as those obtained through the discretization of PDEs. We propose a randomized proper orthogonal decomposition (RPOD) technique to obtain the reduced order models by randomly choosing a subset of the inputs/outputs of the system to construct a suitable small sized ...
Yu, Dan, Chakravorty, Suman
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Proper orthogonal decomposition method for Schrödinger equation
Lietuvos Matematikos Rinkinys, 2013 In this paper we consider the proper orthogonal decomposition (POD) method for one-dimensional Schrödinger equation. We begin of the review of basic ideas of POD. Later this method is applied to study the linear Schrödinger equation.
Raimondas Čiegis +2 more
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Proper orthogonal decomposition method for some parabolic type equations
Lietuvos Matematikos Rinkinys, 2012 In this paper proper orthogonal decomposition method for 1D parabolic type equations is described. First basic ideas of method are presented and application scheme for compiutations is derived.
Gerda Jankevičiūtė +2 more
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MODULO: A software for Multiscale Proper Orthogonal Decomposition of data
SoftwareX, 2020 In the era of the Big Data revolution, methods for the automatic discovery of regularities in large datasets are becoming essential tools in applied sciences. This article presents an open software package, named MODULO (MODal mULtiscale pOd), to perform
Davide Ninni, Miguel A. Mendez
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An Analysis of Galerkin Proper Orthogonal Decomposition for Subdiffusion [PDF]
, 2016 In this work, we develop a novel Galerkin-L1-POD scheme for the subdiffusion model with a Caputo fractional derivative of order $\alpha\in (0,1)$ in time, which is often used to describe anomalous diffusion processes in heterogeneous media.
Jin, Bangti, Zhou, Zhi
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Combined proper orthogonal decompositions of orthogonal subspaces
, 2023 9 pages, 3 ...
Olesen, Peder J. +2 more
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