A note on equivalence of proper orthogonal decomposition methods
Journal of Sound and Vibration, 200310.1016/S0022-460X(03)00032-4 ; Journal of Sound and Vibration ; 265 ; 5 ; 1103-1110 ...
Wu, G.G. +4 more
openaire +1 more source
Proper orthogonal decomposition Pascal polynomial-based method for solving Sobolev equation
International Journal of Numerical Methods for Heat & Fluid Flow, 2021Purpose This study aims to use the polynomial approximation method based on the Pascal polynomial basis for obtaining the numerical solutions of partial differential equations. Moreover, this method does not require establishing grids in the computational domain.
Mehdi Dehghan +2 more
openaire +1 more source
System identification and proper orthogonal decomposition method applied to unsteady aerodynamics
AIAA Journal, 2001The representation of unsteady aerodynamic e owe elds in terms of global aerodynamic modes has proven to be a useful method for reducing the size of the aerodynamic model over those representations that use local variables at discrete grid points in the e ow e eld.
Deman Tang +3 more
openaire +1 more source
Long‐time behavior of the proper orthogonal decomposition method
Numerical Linear Algebra with Applications, 2012SUMMARYWe present explicit error bounds concerning the behavior of the proper orthogonal decomposition (POD) method when the data are drawn from long trajectories. We express the error of the POD method in terms of the canonical angle for systems with exponentially decaying behavior.
openaire +2 more sources
A proper orthogonal decomposition method for nonlinear flows with deforming meshes
International Journal of Heat and Fluid Flow, 2013Abstract This paper presents a proper orthogonal decomposition (POD) method that uses dynamic basis functions. The dynamic functions are of a prescribed form and do not explicitly depend on time but rather on parameters associated with flow unsteadiness.
Brian Freno, Paul Cizmas
openaire +1 more source
A Method of Flow Field Reconstruction via Proper Orthogonal Decomposition
2010 2nd International Conference on Information Engineering and Computer Science, 2010This paper presents a method for constructing flow fields with proper orthogonal decomposition (POD) basis functions or modes with great reduction on the computational cost. Using this approach, it is possible to construct the entire aerodynamic flow fields from the knowledge of computed aerodynamic data or measured flow data specified on the ...
Mao Ye, Min Xu, Hao Liu, Weigang Yao
openaire +1 more source
A modified proper orthogonal decomposition method for flow dynamic analysis
Computers & Fluids, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Yijia +4 more
openaire +2 more sources
Assembly pin factor parameterization method based on the proper orthogonal decomposition
Annals of Nuclear Energy, 2020Abstract The proper orthogonal decomposition (POD) is introduced into the assembly pin factor parameterization. The decomposition is performed first to the pin factors with specific discrete state parameters to capture the spatial characteristic of pin factors.
Zhuo Li +5 more
openaire +1 more source
Application of the Proper Orthogonal Decomposition Method for Cracked Rotors
Journal of Computational and Nonlinear Dynamics, 2018The application of the proper orthogonal decomposition (POD) method to the vibration response of a cracked rotor system is investigated. The covariance matrices of the horizontal and vertical whirl amplitudes are formulated based on the numerical and experimental whirl response data for the considered cracked rotor system.
Mohammad A. Al-Shudeifat +3 more
openaire +1 more source
Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients
Journal of Computational and Applied Mathematics, 2020The authors develop an efficient multiscale reduced basis method to solve the multiscale elliptic boundary value problem \[ -\nabla\cdot(a^\varepsilon(x,\omega)\nabla u^\varepsilon(x,\omega))=f(x),\ x\in D,\,\omega\in \varOmega, \quad u^\varepsilon(x,\omega)=0, \] where \(D\subset \mathbb{R}^d\) is bounded, \((\varOmega,\mathcal{F},\mathbb{P})\) is a ...
Dingjiong Ma, Wai-ki Ching, Zhiwen Zhang
openaire +1 more source

