Tandem Cascade Flow Prediction by POD-RBFN Reduced Order Model

Reduced order models based on pod method for schrödinger equations
by: Gerda Jankevičiutė, et al.
Published: (2013-12-01)

Model order reduction by radial basis function network for sparse reconstruction of an industrial natural gas boiler
by: Jinwoo Park, et al.
Published: (2022-09-01)

Data Reconstruction-Based Two-Step Non-Intrusive Reduced-Order Modeling Using Fourier Transform and Interpolations
by: Jonggeon Lee, et al.
Published: (2022-10-01)

Investigation on the Reduced-Order Model for the Hydrofoil of the Blended-Wing-Body Underwater Glider Flow Control with Steady-Stream Suction and Jets Based on the POD Method
by: Huan Wang, et al.
Published: (2024-05-01)

Comparative Study on Modal Decomposition Methods of Unsteady Separated Flow in Compressor Cascade
Published: (2020-02-01)

Application of POD reduced-order algorithm on data-driven modeling of rod bundle
by: Huilun Kang, et al.
Published: (2022-01-01)

A linear filter regularization for POD-based reduced-order models of the quasi-geostrophic equations
by: Girfoglio, Michele, et al.
Published: (2023-03-01)

POD-based reduced-order modeling study for thermal analysis of gas-cooled microreactor core
by: Erhui Chen, et al.
Published: (2023-04-01)

Computational Modeling of Gurney Flaps and Microtabs by POD Method
by: Unai Fernandez-Gamiz, et al.
Published: (2018-08-01)

IGBT Temperature Field Monitoring Based on Reduced-order Model
by: Ziyu Zhou, et al.
Published: (2023-06-01)

Reduced Numerical Approximation of Reduced Fluid-Structure Interaction Problems With Applications in Hemodynamics
by: Claudia M. Colciago, et al.
Published: (2018-06-01)

A real-time solution method for three-dimensional steady temperature field of transformer windings based on mechanism-embedded cascade network
by: Yunpeng Liu, et al.
Published: (2024-06-01)

A Galerkin/POD Reduced-Order Model from Eigenfunctions of Non-Converged Time Evolution Solutions in a Convection Problem
by: Jesús Cortés, et al.
Published: (2022-03-01)

On the effect of different samplings to the solution of parametric PDE eigenvalue problems
by: Daniele Boffi, et al.
Published: (2024-12-01)

Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer
by: Minh Ngoc Nguyen, et al.
Published: (2020-12-01)

Performance Enhancement of a Centrifugal Compressor by Designing a Tandem Cascade Diffuser
by: Shuo Zhang, et al.
Published: (2022-06-01)

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium
by: Stefania Fresca, et al.
Published: (2021-09-01)

Study on Burnup Calculation Method Based on Proper Orthogonal Decomposition Reduced-order
by: ZHANG Binhang1;BI Yanzhao1;GONG Hanyuan1;ZHANG Yonghong1,*;YUAN Xianbao2
Published: (2023-10-01)

Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
by: In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
Published: (2023-08-01)

POD-Kriging Reduced Method's Application in Tandem Cylinders' Flow
Published: (2018-04-01)

POD-Galerkin FSI Analysis for Flapping Motion
by: Shigeki Kaneko, et al.
Published: (2023-11-01)

Large Eddy Simulation of Pulsed Blowing in a Supersonic Compressor Cascade
by: Q. Meng, et al.
Published: (2020-01-01)

Flow Field Prediction of Gas-Solid Fluidized Bed Based on POD and Surrogate Model
by: Jialei FENG, et al.
Published: (2025-01-01)

Reduced-order modeling using the frequency-domain method for parabolic partial differential equations
by: Jeong-Kweon Seo, et al.
Published: (2023-04-01)

Variational Reduced-Order Modeling of Thermomechanical Shape Memory Alloy Based Cooperative Bistable Microactuators
by: Muhammad Babar Shamim, et al.
Published: (2023-01-01)

A reduced order extrapolating technique of solution coefficient vectors to collocation spectral method for telegraph equation
by: Hui Wang, et al.
Published: (2020-02-01)

Research on the Influence of Inflow Conditions on the Aerodynamic Performance of a Tandem Cascade
by: Z. Yang, et al.
Published: (2022-09-01)

Order reduction of matrix exponentials by proper orthogonal decomposition
by: Mohammad Dehghan Nayyeri, et al.
Published: (2023-11-01)

Sampling related issues in pod-based model reduction of simplified circulating fluidised bed combustor model
by: Bizon Katarzyna
Published: (2015-09-01)

Analysis and Optimization of the Performances of the Tandem Blade Radial Compressor Using the CFD
by: Mustafa Erturk Soylemez, et al.
Published: (2024-05-01)

A Fast Reduced-Order Model for Radial Integration Boundary Element Method Based on Proper Orthogonal Decomposition in the Non-Uniform Coupled Thermoelastic Problems
by: Zhenbo Tang, et al.
Published: (2023-09-01)

Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount
by: Danko Ján, et al.
Published: (2024-05-01)

Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity
by: Francesco Ballarin, et al.
Published: (2024-02-01)

Thermal field reconstruction and compressive sensing using proper orthogonal decomposition
by: John Matulis, et al.
Published: (2024-02-01)

Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
by: Shubham Chaudhry, et al.
Published: (2025-08-01)

Parametric model-order-reduction development for unsteady convection
by: Ping-Hsuan Tsai, et al.
Published: (2022-09-01)