Results 71 to 80 of about 51,908 (255)

A computationally optimal randomized proper orthogonal decomposition technique [PDF]

2016 American Control Conference (ACC), 2016
In this paper, we consider the model reduction problem of large-scale systems, such as systems obtained through the discretization of partial differential equations. We propose a computationally optimal randomized proper orthogonal decomposition (RPOD*) technique to obtain the reduced order model by perturbing the primal and adjoint system using ...
Yu, Dan, Chakravorty, Suman
openaire   +2 more sources

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, 2021
S. Fresca, A. Manzoni
semanticscholar   +1 more source

Advanced multiscale modal and frequency analysis of swirling spray flame near to lean blowout

Case Studies in Thermal Engineering
This study provides an in-depth characterization of Jet-A1 swirled flames' dynamics using advanced decomposition techniques on high-speed OH* chemiluminescence images. Research conducted in a 300-kW combustor with global fuel-to-air ratios Φ = 0.36, 0.24,
Maria Grazia De Giorgi, Pasquale Di Gloria, Donato Fontanarosa, Antonio Ficarella   +3 more
doaj   +1 more source

Application of Proper Orthogonal Decomposition to Elucidate Spatial and Temporal Correlations in Air Pollution Across the City of Liverpool, UK

Urban Science
Understanding the spatiotemporal distribution of air pollution is critical for improving urban air quality. Advances in wireless sensor networks have made it possible to monitor air pollution across cities at higher spatiotemporal resolutions.
Cammy Acosta Ramírez, Jonathan E. Higham   +1 more
doaj   +1 more source

Proper orthogonal decomposition analysis for two-oscillating grid turbulence with viscoelastic fluids

Advances in Mechanical Engineering, 2016
In this article, the experiments of two-oscillating grid turbulence with viscoelastic fluids were carried out using particle image velocimetry. Two classical drag-reducing additives with viscoelastic characteristics were chosen: polymer (polyacrylamide ...
Yue Wang, Wei-Hua Cai, Tong-Zhou Wei, Hong-Na Zhang, Lu Wang, Feng-Chen Li   +5 more
doaj   +1 more source

Efficient multi-objective shape optimization using proper orthogonal decomposition with variable fidelity concept

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2020
A variable fidelity concept is introduced in a re-parameterization approach based on the proper orthogonal decomposition (POD) to efficiently solve multi-objective aerodynamic shape optimization problems.
Wataru YAMAZAKI
doaj   +1 more source

PIV data reconstruction via proper orthogonal decomposition with a cross validation approach

Journal of Fluid Science and Technology, 2014
In this research, unsteady particle image velocimetry (PIV) data are reconstructed / analyzed by a proper orthogonal decomposition (POD) with a cross validation approach.
Wataru YAMAZAKI, Rei AKIMOTO, Hidenori YAMADA   +2 more
doaj   +1 more source

Error analysis of proper orthogonal decomposition data assimilation schemes for the Navier-Stokes equations [PDF]

, 2020
Bosco Garcı́a-Archilla, Julia Novo, Samuele Rubino   +2 more
openalex   +1 more source

Visualization and modal decomposition of vortex street behind circular cylinder

EPJ Web of Conferences, 2013
Time resolved particle image velocimetry measurement of vortex street behind circular cylinder was carried out. Vorex street was measured for Reynolds numbers up to few thousands.
Čížek J., Železný P., Hyhlík T.
doaj   +1 more source

Energy and Entropy in Turbulence Decompositions

Entropy, 2019
The role of energy and entropy in the decomposition of turbulent velocity flow-fields is shown in this paper. Decomposition methods based on the energy concept are taken into account—proper orthogonal decomposition (POD) and its extension bi ...
Václav Uruba
doaj   +1 more source