Parametric reduced order modeling-based discrete velocity method for simulation of steady rarefied flows

Journal of Computational Physics ◽

10.1016/j.jcp.2020.110037 ◽

2020 ◽

pp. 110037

Author(s):

L.M. Yang ◽

X. Zhao ◽

C. Shu ◽

Y.J. Du

Keyword(s):

Reduced Order Modeling ◽

Reduced Order ◽

Discrete Velocity ◽

Rarefied Flows ◽

Discrete Velocity Method

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Comparative study of discrete velocity method and high-order lattice Boltzmann method for simulation of rarefied flows

Computers & Fluids ◽

10.1016/j.compfluid.2017.01.014 ◽

2017 ◽

Vol 146 ◽

pp. 125-142 ◽

Author(s):

L.M. Yang ◽

C. Shu ◽

J. Wu ◽

Y. Wang

Keyword(s):

Comparative Study ◽

Lattice Boltzmann Method ◽

Lattice Boltzmann ◽

Discrete Velocity ◽

Rarefied Flows ◽

Discrete Velocity Method ◽

Boltzmann Method

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Solution-Adaptive Boltzmann Discrete Velocity Method for Rarefied Flows in Diatomic Gases

10.2514/6.2022-1107 ◽

2022 ◽

Author(s):

Robert E. Harris

Keyword(s):

Discrete Velocity ◽

Rarefied Flows ◽

Discrete Velocity Method

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REDUCED-ORDER MODELING OF TURBULENT FLOWS IN MULTISCALE DOMAINS

Equipment ◽

10.1615/ihtc13.trb.100 ◽

2006 ◽

Author(s):

J. Rambo ◽

Y. Joshi

Keyword(s):

Turbulent Flows ◽

Reduced Order Modeling ◽

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Integrated Toolkit for Closed-Loop Flow Control: Flow Simulation, Reduced-Order Modeling, and Control Design (Invited)

38th Fluid Dynamics Conference and Exhibit ◽

10.2514/6.2008-3980 ◽

2008 ◽

Author(s):

Tim Colonius ◽

Kunihiko Taira ◽

Won Joe ◽

Clancy Rowley ◽

Sunil Ahuja

Keyword(s):

Flow Control ◽

Closed Loop ◽

Control Design ◽

Flow Simulation ◽

Reduced Order Modeling ◽

Control Flow ◽

Modeling And Control ◽

Reduced Order ◽

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Lattice Boltzmann Flow Simulations With Applications of Reduced Order Modeling Techniques.

10.2523/17457-ms ◽

2014 ◽

Author(s):

Donald L. Brown ◽

Jun Li ◽

Victor M. Calo ◽

Mehdi Ghommem ◽

Yalchin Efendiev

Keyword(s):

Lattice Boltzmann ◽

Reduced Order Modeling ◽

Reduced Order ◽

Flow Simulations ◽

Modeling Techniques

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Reduced Order Modeling for Rapid Simulations of Blast and Rollover Events of a Ground Vehicle and its Occupants Using Rigid Body Dynamic Models

10.21236/ada585048 ◽

2013 ◽

Author(s):

Jaisankar Ramalingam ◽

Sherri Chandra ◽

Ravi Thyagarajan

Keyword(s):

Dynamic Models ◽

Reduced Order Modeling ◽

Ground Vehicle ◽

Reduced Order ◽

Rigid Body Dynamic ◽

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REDUCED-ORDER MODELING FOR ESTIMATING CO2 STORAGE AND ENHANCED COALBED METHANE OF UNCONVENTIONAL COAL SEAM RESERVOIRS

10.1130/abs/2018am-323999 ◽

2018 ◽

Author(s):

Ryan Kammer ◽

◽

Kevin Ellett ◽

Richard S. Middleton ◽

Chris Korose

Keyword(s):

Coal Seam ◽

Coalbed Methane ◽

Co2 Storage ◽

Reduced Order Modeling ◽

Reduced Order ◽

Enhanced Coalbed Methane

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Research on Reduced Order Modeling Method of Power Electronic Interface Based on Hybrid System Theory

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9254684 ◽

2020 ◽

Author(s):

Yijia Heng ◽

Qunying Liu ◽

Xinli Huo ◽

Shuheng Chen ◽

Fanzhang ◽

...

Keyword(s):

System Theory ◽

Hybrid System ◽

Reduced Order Modeling ◽

Modeling Method ◽

Power Electronic ◽

Reduced Order ◽

Electronic Interface

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Reduced-order Modeling and Stability Analysis of MTDC System Under Droop Control in DC Voltage Control Timescale

2020 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm41954.2020.9282157 ◽

2020 ◽

Author(s):

Pengfei Li ◽

Xialin Li ◽

Li Guo ◽

Zhiwang Li ◽

Chao Qin ◽

...

Keyword(s):

Stability Analysis ◽

Voltage Control ◽

Reduced Order Modeling ◽

Droop Control ◽

Reduced Order ◽

Dc Voltage Control

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Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning

International Journal for Numerical Methods in Biomedical Engineering ◽

10.1002/cnm.3450 ◽

2021 ◽

Author(s):

Stefano Pagani ◽

Andrea Manzoni

Keyword(s):

Machine Learning ◽

Sensitivity Analysis ◽

Uncertainty Quantification ◽

Cardiac Electrophysiology ◽

Reduced Order Modeling ◽

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