Kriging-model-based uncertainty quantification in computational fluid dynamics

32nd AIAA Applied Aerodynamics Conference ◽

10.2514/6.2014-2737 ◽

2014 ◽

Author(s):

Soshi Kawai ◽

Koji Shimoyama

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Uncertainty Quantification ◽

Kriging Model ◽

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Generalized Polynomial Chaos for Non-intrusive Uncertainty Quantification in Computational Fluid Dynamics

Uncertainty Management for Robust Industrial Design in Aeronautics - Notes on Numerical Fluid Mechanics and Multidisciplinary Design ◽

10.1007/978-3-319-77767-2_8 ◽

2018 ◽

pp. 123-141

Author(s):

Vincent Couaillier ◽

Éric Savin

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Uncertainty Quantification in High Performance Computational Fluid Dynamics

High Performance Computing in Science and Engineering '19 ◽

10.1007/978-3-030-66792-4_24 ◽

2021 ◽

pp. 355-371

Author(s):

Andrea Beck ◽

Jakob Dürrwächter ◽

Thomas Kuhn ◽

Fabian Meyer ◽

Claus-Dieter Munz ◽

...

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Uncertainty Quantification ◽

High Performance

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Process Intensification in a Gas–Solid Vortex Unit: Computational Fluid Dynamics Model Based Analysis and Design

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.9b01566 ◽

2019 ◽

Vol 58 (28) ◽

pp. 12751-12765 ◽

Author(s):

Laurien A. Vandewalle ◽

Arturo Gonzalez-Quiroga ◽

Patrice Perreault ◽

Kevin M. Van Geem ◽

Guy B. Marin

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Process Intensification ◽

Dynamics Model ◽

Analysis And Design ◽

Computational Fluid Dynamics Model ◽

Model Based ◽

Model Based Analysis

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An Uncertainty Quantification of the Computational Fluid Dynamics Solution to the Modeling of the Contact Point in a Wire-Wrapped Fuel Assembly

10.2172/1484120 ◽

2018 ◽

Author(s):

Marc-Olivier G. Delchini ◽

Laura P. Swiler ◽

Emilian P. Popov ◽

William David Pointer

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Fuel Assembly ◽

Uncertainty Quantification ◽

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Optimal temperature sensor placement in buildings with buoyancy-driven natural ventilation using computational fluid dynamics and uncertainty quantification

Building and Environment ◽

10.1016/j.buildenv.2021.108496 ◽

2021 ◽

pp. 108496

Author(s):

Chen Chen ◽

Catherine Gorlé

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Uncertainty Quantification ◽

Temperature Sensor ◽

Natural Ventilation ◽

Sensor Placement ◽

Optimal Temperature

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Uncertainty Quantification in Computational Fluid Dynamics

10.1007/978-3-319-00885-1 ◽

2013 ◽

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Uncertainty Quantification

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Adaptive Uncertainty Quantification for Computational Fluid Dynamics

Uncertainty Quantification in Computational Fluid Dynamics - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-319-00885-1_4 ◽

2013 ◽

pp. 151-191 ◽

Author(s):

Richard P. Dwight ◽

Jeroen A. S. Witteveen ◽

Hester Bijl

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Uncertainty Quantification

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Crowd Evacuation Simulation with Real-Time Active Route Choice Model based on Human Characteristic and Computational Fluid Dynamics Data

Korean Society of Hazard Mitigation ◽

10.9798/kosham.2018.18.1.79 ◽

2017 ◽

Vol 18 (1) ◽

pp. 79-90

Author(s):

Hyuncheol Kim ◽

◽

Soonhung Han ◽

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Real Time ◽

Choice Model ◽

Route Choice ◽

Evacuation Simulation ◽

Model Based ◽

Crowd Evacuation ◽

Human Characteristic

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Sensitivity analysis using a model based on computational fluid dynamics, discrete element method and discrete phase model to study a food hydrofluidization system

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2018.05.019 ◽

2018 ◽

Vol 237 ◽

pp. 183-193 ◽

Author(s):

Jesica D. Orona ◽

Susana E. Zorrilla ◽

Juan Manuel Peralta

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Sensitivity Analysis ◽

Discrete Element Method ◽

Discrete Element ◽

Phase Model ◽

Discrete Phase Model ◽

Model Based ◽

Discrete Phase ◽

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Applying uncertainty quantification to multiphase flow computational fluid dynamics

Powder Technology ◽

10.1016/j.powtec.2013.01.045 ◽

2013 ◽

Vol 242 ◽

pp. 27-39 ◽

Author(s):

A. Gel ◽

R. Garg ◽

C. Tong ◽

M. Shahnam ◽

C. Guenther

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Multiphase Flow ◽

Uncertainty Quantification

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