Search results for Thermal-fluids engineering

An Introduction to Solute Transport in Heterogeneous Geologic Media

Tian-Chyi Jim Yeh, Yanhui Dong, Shujun Ye
Published online:

02 February 2023

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09 February 2023
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Over the past several decades, analyses of solute migration in aquifers have widely adopted the classical advection-dispersion equation. However, misunderstandings over advection-dispersion concepts, their relationship with the scales of heterogeneity, our observation and interest, and their ensemble mean nature have created furious debates about the concepts' validity. This book provides a unified and comprehensive overview and lucid explanations of the stochastic nature of solute transport processes at different scales. It also presents tools for analyzing solute transport and its uncertainty to meet our needs at different scales. Easy-to-understand physical explanations without complex mathematics make this book an invaluable resource for students, researchers, and professionals performing groundwater quality evaluations, management, and remediation.

17 - Machine Learning for Turbulence Control
from Part V - Applications
- By B. R. Noack, G. Y. Cornejo Maceda, F. Lusseyran
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 350-367
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12 - Methods for System Identification
from Part IV - Dynamical Systems
- By S. Brunton
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 232-254
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8 - Generalized and Multiscale Modal Analysis
from Part III - Data-Driven Decompositions
- By M.A. Mendez
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 153-181
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13 - Modern Tools for the Stability Analysis of Fluid Flows
from Part IV - Dynamical Systems
- By P. J. Schmid
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 255-284
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15 - Advancing Reacting Flow Simulations with Data-Driven Models
from Part V - Applications
- By K. Zdybal, G. D’Alessio, G. Aversano, M. R. Malik, A. Coussement, J. C. Sutherland, A. Parente
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

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12 January 2023

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02 February 2023, pp 304-329
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Preface
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

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12 January 2023

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02 February 2023, pp xiii-xviii
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A Note on the Notation
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp xix-xx
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Part VI - Perspectives
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 391-392
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7 - The Dynamic Mode Decomposition: From Koopman Theory to Applications
from Part III - Data-Driven Decompositions
- By P. J. Schmid
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 133-152
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1 - Analysis, Modeling, and Control of the Cylinder Wake
from Part I - Motivation
- By B. R. Noack, A. Ehlert, C. N. Nayeri, M. Morzynski
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 3-19
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16 - Reduced-Order Modeling for Aerodynamic Applications and Multidisciplinary Design Optimization
from Part V - Applications
- By S. Görtz, P. Bekemeyer, M. Abu-Zurayk, T. Franz, M. Ripepi
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 330-349
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Contributors
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp x-xii
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6 - The Proper Orthogonal Decomposition
from Part III - Data-Driven Decompositions
- By S. Dawson
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 117-132
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Part II - Methods from Signal Processing
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 59-60
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9 - Good Practice and Applications of Data-Driven Modal Analysis
from Part III - Data-Driven Decompositions
- By A. Ianiro
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 182-200
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References
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 409-448
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Contents
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp v-ix
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18 - Deep Reinforcement Learning Applied to Active Flow Control
from Part V - Applications
- By J. Rabault, A. Kuhnle
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 368-390
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Part III - Data-Driven Decompositions
Edited by Miguel A. Mendez, Von Karman Institute for Fluid Dynamics, Belgium, Andrea Ianiro, Universidad Carlos III de Madrid, Bernd R. Noack, Harbin Institute of Technology, China, Steven L. Brunton, University of Washington
Book:

Data-Driven Fluid Mechanics

Published online:

12 January 2023

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02 February 2023, pp 115-116
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Thermal-fluids engineering

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An Introduction to Solute Transport in Heterogeneous Geologic Media

17 - Machine Learning for Turbulence Control

12 - Methods for System Identification

8 - Generalized and Multiscale Modal Analysis

13 - Modern Tools for the Stability Analysis of Fluid Flows

15 - Advancing Reacting Flow Simulations with Data-Driven Models

Preface

A Note on the Notation

Part VI - Perspectives

7 - The Dynamic Mode Decomposition: From Koopman Theory to Applications

1 - Analysis, Modeling, and Control of the Cylinder Wake

16 - Reduced-Order Modeling for Aerodynamic Applications and Multidisciplinary Design Optimization

Contributors

6 - The Proper Orthogonal Decomposition

Part II - Methods from Signal Processing

9 - Good Practice and Applications of Data-Driven Modal Analysis

References

Contents

18 - Deep Reinforcement Learning Applied to Active Flow Control

Part III - Data-Driven Decompositions

Thermal-fluids engineering

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5455 results in Thermal-fluids engineering

An Introduction to Solute Transport in Heterogeneous Geologic Media