On the Application of Proper Orthogonal Decomposition (POD) for In-Cylinder Flow Analysis [PDF]
Energies, 2018 Proper orthogonal decomposition (POD) is a coherent structure identification technique based on either measured or computed data sets. Recently, POD has been adopted for the analysis of the in-cylinder flows inside internal combustion engines.
Mohammed El-Adawy +8 more
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Energies, 2022 A comprehensive study was performed to analyze turbine wake characteristics by using a Proper-Orthogonal-Decomposition (POD) method to identify the dominant flow features from a comprehensive experimental database.
Pavithra Premaratne, Wei Tian, Hui Hu
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POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition [PDF]
Computer Methods in Applied Mechanics and Engineering, 2022 26 pages.
Stefania Fresca, Andrea Manzoni
semanticscholar +5 more sources
Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis [PDF]
Journal of Fluid Mechanics, 2017 We consider the frequency domain form of proper orthogonal decomposition (POD), called spectral proper orthogonal decomposition (SPOD). Spectral POD is derived from a space–time POD problem for statistically stationary flows and leads to modes that each ...
A. Towne, O. Schmidt, T. Colonius
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Inverse Method of Centrifugal Pump Impeller Based on Proper Orthogonal Decomposition (POD) Method
Chinese Journal of Mechanical Engineering, 2017 To improve the accuracy and reduce the calculation cost for the inverse problem of centrifugal pump impeller, the new inverse method based on proper orthogonal decomposition (POD) is proposed. The pump blade shape is parameterized by quartic Bezier curve, and the initial snapshots is generated by introducing the perturbation of the blade shape control ...
Ren-Hui Zhang +3 more
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Evaluating Large-Eddy Simulation (LES) and High-Speed Particle Image Velocimetry (PIV) with Phase-Invariant Proper Orthogonal Decomposition (POD) [PDF]
Oil & Gas Science and Technology, 2013 This study is part of a program to understand the stochastic variations in IC engine flows; in particular, it is a comparison of measured (PIV) and computed (LES) velocity from multiple cycles of the same motored engine.
Abraham P. +4 more
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Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition [PDF]
Advances in Computational Mathematics, 2023 POD-DL-ROMs have been recently proposed as an extremely versatile strategy to build accurate and reliable reduced order models (ROMs) for nonlinear parametrized partial differential equations, combining (i) a preliminary dimensionality reduction obtained
Simone Brivio +3 more
semanticscholar +1 more source
Unsteady effects at the interface between impeller-vaned diffuser in a low pressure centrifugal compressor [PDF]
INCAS Bulletin, 2013 In this paper, Proper Orthogonal Decomposition (POD) is applied to the analysis of the unsteady rotor-stator interaction in a low-pressure centrifugal compressor.
Mihai Leonida NICULESCU, Sterian DANAILA
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The Transient POD Method Based on Minimum Error of Bifurcation Parameter
Mathematics, 2021 An invariable order reduction model cannot be obtained by the adaptive proper orthogonal decomposition (POD) method in parametric domain, there exists uniqueness of the model with different conditions. In this paper, the transient POD method based on the
Kuan Lu +6 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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