Bio
Beverley McKeon is Professor of Mechanical Engineering at Stanford University. Previously she was the Theodore von Karman Professor of Aeronautics at the Graduate Aerospace Laboratories at Caltech (GALCIT) and a former Deputy Chair of the Division of Engineering and Applied Science. She received M.A. and M.Eng. degrees from the University of Cambridge and a Ph.D. in Mechanical and Aerospace Engineering from Princeton University. Her research interests include interdisciplinary approaches to manipulation of boundary layer flows using morphing surfaces, fundamental experimental investigations of wall turbulence at high Reynolds number, the development of resolvent analysis for modeling turbulent flows, and assimilation of experimental data for efficient low-order flow modeling. McKeon was the recipient of a Vannevar Bush Faculty Fellowship from the DoD in 2017, a Presidential Early Career Award (PECASE) in 2009 and an NSF CAREER Award in 2008, and is a Fellow of the APS and AIAA. She currently serves as co-Lead Editor of Phys. Rev. Fluids and on the editorial board of the Annual Review of Fluid Mechanics, and is past Editor-in-Chief of Experimental Thermal and Fluid Science. She is the Past Chair of the US National Committee on Theoretical and Applied Mechanics and the APS representative.
Administrative Appointments
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Past Chair, US National Committee on Theoretical and Applied Mechanics (USNC/TAM) (2022 - 2024)
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Chair, US National Committee on Theoretical and Applied Mechanics (USNC/TAM) (2020 - 2022)
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Deputy Chair, Division of Engineering and Applied Science, Caltech (2020 - 2022)
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Member, U.S. Delegation, International Union on Theoretical and Applied Mechanics (2019 - Present)
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Vice Chair, US National Committee on Theoretical and Applied Mechanics (USNC/TAM) (2018 - 2020)
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Lead, Aerospace Mentoring Program (AMP), Caltech (2016 - 2022)
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Member-At-Large, Executive Committee of the Division of Fluid Dynamics, American Physical Society (2013 - 2015)
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Associate Director, Graduate Aerospace Laboratories, Caltech (2012 - 2017)
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Member, Fluid Dynamics Technical Committee, American Institute of Aeronautics and Astronautics (2008 - 2014)
Honors & Awards
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Fellow, American Institute of Aeronautics and Astronautics (2020)
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Northrop Grumman Prize for Excellence in Teaching, Caltech, E&AS Division (2018)
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Graduate Student Excellence in Mentoring Award, Caltech (2017)
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Vannevar Bush Faculty Fellow, U.S. Department of Defense (2017)
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Fellow, American Physical Society (2016)
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Fred Shair Program Diversity Award, Caltech (2016)
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Associate Fellow, American Institute of Aeronautics and Astronautics (2014)
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Presidential Early Career Award for Scientists and Engineers, (PECASE) (2009)
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NSF CAREER Award, National Science Foundation (2008)
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Dorothy Hodgkin Fellowship, Royal Society (2004-2006)
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Amelia Earhart Fellow, Zonta International (1999-2001)
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Fulbright Scholar, Fulbright Program (1997-1998)
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Guggenheim Fellow, Princeton University (1997-1998)
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Scholar, Corpus Christi College, Cambridge (1996)
Boards, Advisory Committees, Professional Organizations
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Member, Nominating Committee, American Physical Society (2023 - Present)
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Lead Editor, Physical Review Fluids (2021 - Present)
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Co-Chair (Physical Sciences), NAS Decadal Survey on Biological and Physical Sciences Research in Space, 2023-2032 (2021 - 2023)
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Chair, Visiting Committee, Dept. of Mechanical Engineering, Johns Hopkins University (2021 - 2021)
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Member, Diversity Working Group, International Union on Theoretical and Applied Mechanics (2021 - 2021)
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Member, International Visiting Committee, Dept. of Engineering, University of Cambridge (2020 - Present)
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Member, Fluid Dynamics Prize Committee, American Physical Society (2020 - 2022)
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Member, Visiting Committee, Dept. of Aerospace and Mechanical Engineering, University of Notre Dame (2019 - 2019)
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Member, Executive Committee, Symposia on Turbulence and Shear Flow Phenomena (2018 - Present)
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Associate Editor, Physical Review Fluids (2018 - 2020)
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Member, Division of Fluid Dynamics Fellowship COmmittee, American Physical Society (2018 - 2020)
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Member, Visiting Committee, School of Aeronautics and Astronautics, Purdue University (2018 - 2018)
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Member, Visiting Committee, Dept. of Aerospace Engineering, Texas A&M University (2018 - 2018)
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Member, Advisory Board, Annual Review of Fluid Mechanics (2016 - Present)
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Member, Advisory Board, Physical Review Fluids (2016 - 2017)
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Member, Editorial Advisory Board, AIAA Journal (2015 - 2021)
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Editor-in-Chief, Experimental Thermal and Fluid Science (2015 - 2018)
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Member, External Affairs Committee (Chair 2015), American Physical Society (2014 - 2016)
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Member, Editorial Advisory Board, Physics of Fluids (2014 - 2015)
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Member, Editorial Advisory Board, Experiments in Fluids (2013 - 2021)
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Editor, Experimental Thermal and Fluids Science (2012 - 2015)
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Chair, Fluids Dynamics Award Committee, American Institute of Aeronautics and Astronautics (2011 - 2013)
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Member, Division of Fluid Dynamics Program Committee, American Physical Society (2008 - 2011)
Professional Education
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Ph.D., Princeton University, Mechanical and Aerospace Engineering (2003)
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M.A., Princeton University, Mechanical and Aerospace Engineering (1999)
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M.A., University of Cambridge, Engineering (1999)
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M. Eng., University of Cambridge, Fluid Mechanics, with Distinction (1995)
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B.A. (Hons), University of Cambridge, Engineering (1995)
2024-25 Courses
- Advanced Fluid Mechanics - Flow Instabilities
ME 451B (Spr) - Fluid Mechanics
ME 351A (Aut) - Intermediate Fluid Mechanics
ME 133 (Win) -
Independent Studies (11)
- Engineering Problems
ME 391 (Aut, Win, Spr, Sum) - Engineering Problems and Experimental Investigation
ME 191 (Aut, Win, Spr, Sum) - Experimental Investigation of Engineering Problems
ME 392 (Aut, Win, Spr, Sum) - Honors Research
ME 191H (Aut, Win, Spr, Sum) - Master's Directed Research
ME 393 (Aut, Win, Spr, Sum) - Master's Directed Research: Writing the Report
ME 393W (Aut, Win, Spr, Sum) - Ph.D. Research Rotation
ME 398 (Aut, Win, Spr, Sum) - Ph.D. Teaching Experience
ME 491 (Aut, Win, Spr) - Practical Training
ME 199A (Win, Spr) - Practical Training
ME 299A (Aut, Win, Spr, Sum) - Practical Training
ME 299B (Aut, Win, Spr, Sum)
- Engineering Problems
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Prior Year Courses
2023-24 Courses
- Advanced Fluid Mechanics - Low-Order Modeling for Turbulent Flow
ME 451C (Win) - Experimental Methods in Fluid Mechanics
ME 354 (Spr) - Fluid Mechanics
ME 351A (Aut) - Seminar in Fluid Mechanics
ENGR 298 (Win)
2022-23 Courses
- Advanced Fluid Mechanics - Low-Order Modeling for Turbulent Flow
Stanford Advisees
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Postdoctoral Faculty Sponsor
Facundo Cabrera-Booman, Arash Hajisharifi, Thomas Jaroslawski, Sangjoon Lee, Jonathan Massey, Aakash Patil, Shilpa Vijay -
Doctoral Dissertation Advisor (AC)
Katherine Cao, Federico Rios Tascon -
Master's Program Advisor
Nick Agathangelou, Mitchell Braun, Kareem Dawood, Zichen He, Jeyan Kirtay, Luke Mariak, Jessie Qiu, Courtney Rowe, Lingchun Yan -
Doctoral (Program)
Chloe Choi, Miya Coimbra, Jeffrey Leu, Kiran Lucas, Claire MacDougall, Aaron Maschhoff, Alex Storrer
All Publications
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Spectral location for the universal scaling regime in Martian atmospheric turbulence.
Communications earth & environment
2024; 5 (1): 597
Abstract
Atmospheric turbulence, irregular fluctuations of the fluid state, is studied on Mars. Universality of the turbulence spectrum underpins atmospheric models where computational requirements preclude full fidelity simulations of the smallest scales. However, there are discrepancies among reports on the existence and spectral location of universal scaling in Martian atmospheric data. Here, results indicate the smallest resolvable structures from Martian wind speed data are still associated with the energetic regime, which may ultimately explain why multiple reports have not found a consistent Kolmogorov-like spectral regime on Mars. Universal spectral scaling of wind data from Perseverance's Mars Environmental Dynamics Analyzer is used to estimate the thresholds that separate three turbulence regimes: energetic, inertial, and molecular dissipation. Wind measurements at 2-Hz, the fastest sampling rate for direct wind sensor measurements on Mars, resolves turbulence in the energetic regime and approaches the inertial regime, which is consistent with reported Martian dust devil sizes.
View details for DOI 10.1038/s43247-024-01752-6
View details for PubMedID 39430423
View details for PubMedCentralID PMC11485230
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Lagrangian gradient regression for the detection of coherent structures from sparse trajectory data.
Royal Society open science
2024; 11 (10): 240586
Abstract
Complex flows are often characterized using the theory of Lagrangian coherent structures (LCS), which leverages the motion of flow-embedded tracers to highlight features of interest. LCS are commonly employed to study fluid mechanical systems where flow tracers are readily observed, but they are broadly applicable to dynamical systems in general. A prevailing class of LCS analyses depends on reliable computation of flow gradients. The finite-time Lyapunov exponent (FTLE), for example, is derived from the Jacobian of the flow map, and the Lagrangian-averaged vorticity deviation (LAVD) relies on velocity gradients. Observational tracer data, however, are typically sparse (e.g. drifters in the ocean), making accurate computation of gradients difficult. While a variety of methods have been developed to address tracer sparsity, they do not provide the same information about the flow as gradient-based approaches. This work proposes a purely Lagrangian method, based on the data-driven machinery of regression, for computing instantaneous and finite-time flow gradients from sparse trajectories. The tool is demonstrated on a common analytical benchmark to provide intuition and demonstrate performance. The method is seen to effectively estimate gradients using data with sparsity representative of observable systems.
View details for DOI 10.1098/rsos.240586
View details for PubMedID 39493296
View details for PubMedCentralID PMC11529625
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Challenges and perspective on the modelling of high-Re, incompressible, non-equilibrium, rough-wall boundary layers
JOURNAL OF TURBULENCE
2024
View details for DOI 10.1080/14685248.2024.2361738
View details for Web of Science ID 001242039900001
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Effects of roughness on non-equilibrium turbulent boundary layers
JOURNAL OF TURBULENCE
2024
View details for DOI 10.1080/14685248.2024.2360186
View details for Web of Science ID 001233838100001
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A resolvent analysis of the effect of passive perforated surfaces on wall-bounded turbulence
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
2024; 106
View details for DOI 10.1016/j.ijheatfluidflow.2024.109315
View details for Web of Science ID 001199906600001
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Linear Amplification of Large Scale Structures in Adverse Pressure Gradient Turbulent Boundary Layers Through Resolvent Analysis
SPRINGER INTERNATIONAL PUBLISHING AG. 2024: 27-33
View details for DOI 10.1007/978-3-031-55924-2_4
View details for Web of Science ID 001321996500004
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Interpolatory input and output projections for flow control
JOURNAL OF FLUID MECHANICS
2023; 971
View details for DOI 10.1017/jfm.2023.680
View details for Web of Science ID 001144991000001
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The transformative potential of machine learning for experiments in fluid mechanics
NATURE REVIEWS PHYSICS
2023
View details for DOI 10.1038/s42254-023-00622-y
View details for Web of Science ID 001046402900003
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Towards real-time reconstruction of velocity fluctuations in turbulent channel flow
PHYSICAL REVIEW FLUIDS
2023; 8 (6)
View details for DOI 10.1103/PhysRevFluids.8.064612
View details for Web of Science ID 001051428400003
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Physics-informed dynamic mode decomposition
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
2023; 479 (2271)
View details for DOI 10.1098/rspa.2022.0576
View details for Web of Science ID 000940147700002
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Frequency-tuned surfaces for passive control of wall-bounded turbulent flow - a resolvent analysis study
JOURNAL OF FLUID MECHANICS
2023; 959
View details for DOI 10.1017/jfm.2023.149
View details for Web of Science ID 000957054900001
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Spatiotemporal characteristics of uniform momentum zones: Experiments and modeling
PHYSICAL REVIEW FLUIDS
2022; 7 (10)
View details for DOI 10.1103/PhysRevFluids.7.104603
View details for Web of Science ID 000876211600003
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Kernel learning for robust dynamic mode decomposition: linear and nonlinear disambiguation optimization.
Proceedings. Mathematical, physical, and engineering sciences
2022; 478 (2260): 20210830
Abstract
Research in modern data-driven dynamical systems is typically focused on the three key challenges of high dimensionality, unknown dynamics and nonlinearity. The dynamic mode decomposition (DMD) has emerged as a cornerstone for modelling high-dimensional systems from data. However, the quality of the linear DMD model is known to be fragile with respect to strong nonlinearity, which contaminates the model estimate. By contrast, sparse identification of nonlinear dynamics learns fully nonlinear models, disambiguating the linear and nonlinear effects, but is restricted to low-dimensional systems. In this work, we present a kernel method that learns interpretable data-driven models for high-dimensional, nonlinear systems. Our method performs kernel regression on a sparse dictionary of samples that appreciably contribute to the dynamics. We show that this kernel method efficiently handles high-dimensional data and is flexible enough to incorporate partial knowledge of system physics. It is possible to recover the linear model contribution with this approach, thus separating the effects of the implicitly defined nonlinear terms. We demonstrate our approach on data from a range of nonlinear ordinary and partial differential equations. This framework can be used for many practical engineering tasks such as model order reduction, diagnostics, prediction, control and discovery of governing laws.
View details for DOI 10.1098/rspa.2021.0830
View details for PubMedID 35450026
View details for PubMedCentralID PMC9006118
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Variational formulation of resolvent analysis
PHYSICAL REVIEW FLUIDS
2022; 7 (1)
View details for DOI 10.1103/PhysRevFluids.7.013905
View details for Web of Science ID 000749578500002
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Amplitude and wall-normal distance variation of small scales in turbulent boundary layers
PHYSICAL REVIEW FLUIDS
2022; 7 (1)
View details for DOI 10.1103/PhysRevFluids.7.014606
View details for Web of Science ID 000747809500002
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Editorial: The 2021 Francois Naftali Frenkiel Award for Fluid Mechanics
PHYSICAL REVIEW FLUIDS
2022; 7 (1)
View details for DOI 10.1103/PhysRevFluids.7.010001
View details for Web of Science ID 000747809500003
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Editorial: Five Years of Physical Review Fluids
PHYSICAL REVIEW FLUIDS
2021; 6 (12)
View details for DOI 10.1103/PhysRevFluids.6.120001
View details for Web of Science ID 000726634200001
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Tollmien-Schlichting route to elastoinertial turbulence in channel flow
PHYSICAL REVIEW FLUIDS
2021; 6 (9)
View details for DOI 10.1103/PhysRevFluids.6.093301
View details for Web of Science ID 000704798900001
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Resolvent analysis of stratification effects on wall-bounded shear flows
PHYSICAL REVIEW FLUIDS
2021; 6 (8)
View details for DOI 10.1103/PhysRevFluids.6.084804
View details for Web of Science ID 000684296000003
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Closing the loop: nonlinear Taylor vortex flow through the lens of resolvent analysis
JOURNAL OF FLUID MECHANICS
2021; 924
View details for DOI 10.1017/jfm.2021.623
View details for Web of Science ID 000680875300001
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Unsteady dynamics in the streamwise-oscillating cylinder wake for forcing frequencies below lock-on
PHYSICAL REVIEW FLUIDS
2021; 6 (7)
View details for DOI 10.1103/PhysRevFluids.6.074702
View details for Web of Science ID 000672792300003
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Data-driven resolvent analysis
JOURNAL OF FLUID MECHANICS
2021; 918
View details for DOI 10.1017/jfm.2021.337
View details for Web of Science ID 000647145300001
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Experiments and Modeling of a Compliant Wall Response to a Turbulent Boundary Layer with Dynamic Roughness Forcing
FLUIDS
2021; 6 (5)
View details for DOI 10.3390/fluids6050173
View details for Web of Science ID 000653875900001
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Editorial: On Transition (in Physical Review Fluids leadership)
PHYSICAL REVIEW FLUIDS
2021; 6 (4)
View details for DOI 10.1103/PhysRevFluids.6.040001
View details for Web of Science ID 000652860800001
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Nonlinear mechanism of the self-sustaining process in the buffer and logarithmic layer of wall-bounded flows
JOURNAL OF FLUID MECHANICS
2021; 914
View details for DOI 10.1017/jfm.2020.857
View details for Web of Science ID 000625813600001
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Interactions between scales in wall turbulence: phase relationships, amplitude modulation and the importance of critical layers
JOURNAL OF FLUID MECHANICS
2021; 914
View details for DOI 10.1017/jfm.2020.770
View details for Web of Science ID 000625433300001
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Temporal characteristics of the probability density function of velocity in wall-bounded turbulent flows
JOURNAL OF FLUID MECHANICS
2021; 913
View details for DOI 10.1017/jfm.2020.1163
View details for Web of Science ID 000620256600001
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Control of instability by injection rate oscillations in a radial Hele-Shaw cell
PHYSICAL REVIEW FLUIDS
2020; 5 (12)
View details for DOI 10.1103/PhysRevFluids.5.123902
View details for Web of Science ID 000599475100004
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A basis for flow modelling
JOURNAL OF FLUID MECHANICS
2020; 904
View details for DOI 10.1017/jfm.2020.728
View details for Web of Science ID 000575130800001
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Modal Analysis of Fluid Flows: An Overview (Oct, 10.2514/1.J056060, 2017)
AIAA JOURNAL
2020; 58 (11): AU9
View details for DOI 10.2514/1.J056060.c1
View details for Web of Science ID 000605980000009
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Prediction of resolvent mode shapes in supersonic turbulent boundary layers
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
2020; 85
View details for DOI 10.1016/j.ijheatfluidflow.2020.108677
View details for Web of Science ID 000571586100006
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On the origin of drag increase in varying-phase opposition control
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
2020; 85
View details for DOI 10.1016/j.ijheatfluidflow.2020.108651
View details for Web of Science ID 000571586200003
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Self-sustained elastoinertial Tollmien-Schlichting waves
JOURNAL OF FLUID MECHANICS
2020; 897
View details for DOI 10.1017/jfm.2020.372
View details for Web of Science ID 000539082900001
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Interaction of forced Orr-Sommerfeld and Squire modes in a low-order representation of turbulent channel flow
PHYSICAL REVIEW FLUIDS
2020; 5 (8)
View details for DOI 10.1103/PhysRevFluids.5.084607
View details for Web of Science ID 000560680900002
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Measurements of a turbulent boundary layer-compliant surface system in response to targeted, dynamic roughness forcing
EXPERIMENTS IN FLUIDS
2020; 61 (4)
View details for DOI 10.1007/s00348-020-2933-9
View details for Web of Science ID 000521234900001
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Characterization of the Spatio-Temporal Response of a Turbulent Boundary Layer to Dynamic Roughness
FLOW TURBULENCE AND COMBUSTION
2020; 104 (2-3): 293-316
View details for DOI 10.1007/s10494-019-00069-1
View details for Web of Science ID 000512824400002
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Spatial organisation of velocity structures for large passive scalar gradients
JOURNAL OF FLUID MECHANICS
2020; 885
View details for DOI 10.1017/jfm.2019.977
View details for Web of Science ID 000505627400001
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Mean and Unsteady Flow Reconstruction Using Data-Assimilation and Resolvent Analysis
AIAA JOURNAL
2020; 58 (2): 575-588
View details for DOI 10.2514/1.J057889
View details for Web of Science ID 000513533200006
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Resolvent-based study of compressibility effects on supersonic turbulent boundary layers
JOURNAL OF FLUID MECHANICS
2020; 883
View details for DOI 10.1017/jfm.2019.881
View details for Web of Science ID 000508121500029
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A tale of two airfoils: resolvent-based modelling of an oscillator versus an amplifier from an experimental mean
JOURNAL OF FLUID MECHANICS
2019; 881: 51-83
View details for DOI 10.1017/jfm.2019.747
View details for Web of Science ID 000506237100004
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On the shape of resolvent modes in wall-bounded turbulence
JOURNAL OF FLUID MECHANICS
2019; 877: 682-716
View details for DOI 10.1017/jfm.2019.594
View details for Web of Science ID 000485198400004
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Turbulence Amplitude Amplification in an Externally Forced, Subsonic Turbulent Boundary Layer
AMER INST AERONAUTICS ASTRONAUTICS. 2019: 3838-3850
View details for DOI 10.2514/1.J057871
View details for Web of Science ID 000503281600018
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Self-similar hierarchies and attached eddies
PHYSICAL REVIEW FLUIDS
2019; 4 (8)
View details for DOI 10.1103/PhysRevFluids.4.082601
View details for Web of Science ID 000482589000001
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Computing exact coherent states in channels starting from the laminar profile: A resolvent-based approach.
Physical review. E
2019; 100 (2-1): 021101
Abstract
We present an iterative method to compute traveling wave exact coherent states (ECS) in Couette and Poiseuille flows starting from an initial laminar profile. The approach utilizes the resolvent operator for a two-dimensional, three-component streamwise-averaged mean and exploits the underlying physics of the self-sustaining process. A singular value decomposition of the resolvent operator is used to obtain the mode shape for a single streamwise-varying Fourier mode. The self-interaction of the single mode is computed and used to generate an updated mean velocity input to the resolvent operator. The process is repeated until a nearly neutrally stable mean flow that self-sustains is obtained, as defined by suitable convergence criteria; the results are further verified with direct numerical simulation. The approach requires the specification of only two unknown parameters: the wave speed and amplitude of the mode. It is demonstrated that within as few as three iterations, the initial one-dimensional laminar field can be transformed into three-dimensional ECS.
View details for DOI 10.1103/PhysRevE.100.021101
View details for PubMedID 31574600
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Predicting the response of turbulent channel flow to varying-phase opposition control: Resolvent analysis as a tool for flow control design
PHYSICAL REVIEW FLUIDS
2019; 4 (7)
View details for DOI 10.1103/PhysRevFluids.4.073905
View details for Web of Science ID 000478049100002
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Effect of Coherent Structures on Aero-Optic Distortion in a Turbulent Boundary Layer
AIAA JOURNAL
2019; 57 (7): 2828-2839
View details for DOI 10.2514/1.J058088
View details for Web of Science ID 000488793600016
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Role of parasitic modes in nonlinear closure via the resolvent feedback loop
PHYSICAL REVIEW FLUIDS
2019; 4 (5)
View details for DOI 10.1103/PhysRevFluids.4.052601
View details for Web of Science ID 000466614900001
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Critical-Layer Structures and Mechanisms in Elastoinertial Turbulence.
Physical review letters
2019; 122 (12): 124503
Abstract
Simulations of elastoinertial turbulence (EIT) of a polymer solution at low Reynolds number are shown to display localized polymer stretch fluctuations. These are very similar to structures arising from linear stability (Tollmien-Schlichting modes) and resolvent analyses, i.e., critical-layer structures localized where the mean fluid velocity equals the wave speed. Computations of self-sustained nonlinear Tollmien-Schlichting waves reveal that the critical layer exhibits stagnation points that generate sheets of large polymer stretch. These kinematics may be the genesis of similar structures in EIT.
View details for DOI 10.1103/PhysRevLett.122.124503
View details for PubMedID 30978052
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Vortical Gusts: Experimental Generation and Interaction with Wing
AMER INST AERONAUTICS ASTRONAUTICS. 2019: 921-931
View details for DOI 10.2514/1.J056914
View details for Web of Science ID 000459609400005
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Efficient representation of exact coherent states of the Navier-Stokes equations using resolvent analysis
IOP PUBLISHING LTD. 2019
View details for DOI 10.1088/1873-7005/aab1ab
View details for Web of Science ID 000456203700002
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Relation between a singly-periodic roughness geometry and spatio-temporal turbulence characteristics
ELSEVIER SCIENCE INC. 2018: 322-333
View details for DOI 10.1016/j.ijheatfluidflow.2018.04.005
View details for Web of Science ID 000435428900027
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Dynamic Roughness for Manipulation and Control of Turbulent Boundary Layers: An Overview
AIAA JOURNAL
2018; 56 (6): 2178-2193
View details for DOI 10.2514/1.J056764
View details for Web of Science ID 000433557100010
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Non-normality and classification of amplification mechanisms in stability and resolvent analysis
PHYSICAL REVIEW FLUIDS
2018; 3 (5)
View details for DOI 10.1103/PhysRevFluids.3.053902
View details for Web of Science ID 000433035900003
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Modal Analysis of Fluid Flows: An Overview
AIAA JOURNAL
2017; 55 (12): 4013-4041
View details for DOI 10.2514/1.J056060
View details for Web of Science ID 000417134300001
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Coherent structures, uniform momentum zones and the streamwise energy spectrum in wall-bounded turbulent flows
JOURNAL OF FLUID MECHANICS
2017; 826
View details for DOI 10.1017/jfm.2017.493
View details for Web of Science ID 000407896700001
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Data assimilation of mean velocity from 2D PIV measurements of flow over an idealized airfoil
EXPERIMENTS IN FLUIDS
2017; 58 (5)
View details for DOI 10.1007/s00348-017-2336-8
View details for Web of Science ID 000404656300012
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The engine behind (wall) turbulence : perspectives on scale interactions
JOURNAL OF FLUID MECHANICS
2017; 817
View details for DOI 10.1017/jfm.2017.115
View details for Web of Science ID 000398179100001
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Scaling and interaction of self-similar modes in models of high Reynolds number wall turbulence
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
2017; 375 (2089)
Abstract
Previous work has established the usefulness of the resolvent operator that maps the terms nonlinear in the turbulent fluctuations to the fluctuations themselves. Further work has described the self-similarity of the resolvent arising from that of the mean velocity profile. The orthogonal modes provided by the resolvent analysis describe the wall-normal coherence of the motions and inherit that self-similarity. In this contribution, we present the implications of this similarity for the nonlinear interaction between modes with different scales and wall-normal locations. By considering the nonlinear interactions between modes, it is shown that much of the turbulence scaling behaviour in the logarithmic region can be determined from a single arbitrarily chosen reference plane. Thus, the geometric scaling of the modes is impressed upon the nonlinear interaction between modes. Implications of these observations on the self-sustaining mechanisms of wall turbulence, modelling and simulation are outlined.This article is part of the themed issue 'Toward the development of high-fidelity models of wall turbulence at large Reynolds number'.
View details for DOI 10.1098/rsta.2016.0089
View details for Web of Science ID 000393402700010
View details for PubMedID 28167582
View details for PubMedCentralID PMC5311453
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Phase relations in a forced turbulent boundary layer: implications for modelling of high Reynolds number wall turbulence.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
2017; 375 (2089)
Abstract
Phase relations between specific scales in a turbulent boundary layer are studied here by highlighting the associated nonlinear scale interactions in the flow. This is achieved through an experimental technique that allows for targeted forcing of the flow through the use of a dynamic wall perturbation. Two distinct large-scale modes with well-defined spatial and temporal wavenumbers were simultaneously forced in the boundary layer, and the resulting nonlinear response from their direct interactions was isolated from the turbulence signal for the study. This approach advances the traditional studies of large- and small-scale interactions in wall turbulence by focusing on the direct interactions between scales with triadic wavenumber consistency. The results are discussed in the context of modelling high Reynolds number wall turbulence.This article is part of the themed issue 'Toward the development of high-fidelity models of wall turbulence at large Reynolds number'.
View details for DOI 10.1098/rsta.2016.0080
View details for PubMedID 28167576
View details for PubMedCentralID PMC5311448
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Phase-relationships between scales in the perturbed turbulent boundary layer
JOURNAL OF TURBULENCE
2017; 18 (12): 1120-1143
View details for DOI 10.1080/14685248.2017.1361536
View details for Web of Science ID 000415722500002
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Analysis of Flow Timescales on a Periodically Pitching/Surging Airfoil
AIAA JOURNAL
2016; 54 (11): 3421-3433
View details for DOI 10.2514/1.J054784
View details for Web of Science ID 000386858800009
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A reduced-order model of three-dimensional unsteady flow in a cavity based on the resolvent operator
JOURNAL OF FLUID MECHANICS
2016; 798
View details for DOI 10.1017/jfm.2016.339
View details for Web of Science ID 000377447400002
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Streamwise-varying steady transpiration control in turbulent pipe flow
JOURNAL OF FLUID MECHANICS
2016; 796
View details for DOI 10.1017/jfm.2016.279
View details for Web of Science ID 000376200300022
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Low-dimensional representations of exact coherent states of the Navier-Stokes equations from the resolvent model of wall turbulence.
Physical review. E
2016; 93 (2): 021102
Abstract
We report that many exact invariant solutions of the Navier-Stokes equations for both pipe and channel flows are well represented by just a few modes of the model of McKeon and Sharma [J. Fluid Mech. 658, 336 (2010)]. This model provides modes that act as a basis to decompose the velocity field, ordered by their amplitude of response to forcing arising from the interaction between scales. The model was originally derived from the Navier-Stokes equations to represent turbulent flows and has been used to explain coherent structure and to predict turbulent statistics. This establishes a surprising new link between the two distinct approaches to understanding turbulence.
View details for DOI 10.1103/PhysRevE.93.021102
View details for PubMedID 26986280
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On the design of optimal compliant walls for turbulence control
JOURNAL OF TURBULENCE
2016; 17 (8): 787-806
View details for DOI 10.1080/14685248.2016.1181267
View details for Web of Science ID 000380171300003
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Leading Edge Vortex Development on Pitching and Surging Airfoils: A Study of Vertical Axis Wind Turbines
SPRINGER INT PUBLISHING AG. 2016: 581-587
View details for DOI 10.1007/978-3-319-30602-5_71
View details for Web of Science ID 000387431400071
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On the Coupling of Direct Numerical Simulation and Resolvent Analysis
SPRINGER-VERLAG BERLIN. 2016: 87-91
View details for DOI 10.1007/978-3-319-29130-7_16
View details for Web of Science ID 000385788600016
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Introduction to Topical Issue on Extreme Flows
EXPERIMENTS IN FLUIDS
2016; 57 (1)
View details for DOI 10.1007/s00348-015-2094-4
View details for Web of Science ID 000368721000009
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Dynamic stall on a pitching and surging airfoil
EXPERIMENTS IN FLUIDS
2015; 56 (8)
View details for DOI 10.1007/s00348-015-2028-1
View details for Web of Science ID 000359649600006
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A framework for studying the effect of compliant surfaces on wall turbulence
JOURNAL OF FLUID MECHANICS
2015; 768
View details for DOI 10.1017/jfm.2015.85
View details for Web of Science ID 000351229500021
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Triadic scale interactions in a turbulent boundary layer
JOURNAL OF FLUID MECHANICS
2015; 767
View details for DOI 10.1017/jfm.2015.79
View details for Web of Science ID 000357005200001
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On the origin of frequency sparsity in direct numerical simulations of turbulent pipe flow
PHYSICS OF FLUIDS
2014; 26 (10)
View details for DOI 10.1063/1.4900768
View details for Web of Science ID 000344593300011
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Experimental control of natural perturbations in channel flow
JOURNAL OF FLUID MECHANICS
2014; 752: 296-309
View details for DOI 10.1017/jfm.2014.317
View details for Web of Science ID 000339273300018
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On the structure and origin of pressure fluctuations in wall turbulence: predictions based on the resolvent analysis
JOURNAL OF FLUID MECHANICS
2014; 751: 38-70
View details for DOI 10.1017/jfm.2014.283
View details for Web of Science ID 000337925000006
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Opposition control within the resolvent analysis framework
JOURNAL OF FLUID MECHANICS
2014; 749: 597-626
View details for DOI 10.1017/jfm.2014.209
View details for Web of Science ID 000337922700023
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A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization
PHYSICS OF FLUIDS
2014; 26 (5)
View details for DOI 10.1063/1.4876195
View details for Web of Science ID 000337103900001
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Influence of a local change of depth on the behavior of walking oil drops
EXPERIMENTAL THERMAL AND FLUID SCIENCE
2014; 54: 237-246
View details for DOI 10.1016/j.expthermflusci.2013.12.023
View details for Web of Science ID 000333785100026
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Compact representation of wall-bounded turbulence using compressive sampling
PHYSICS OF FLUIDS
2014; 26 (1)
View details for DOI 10.1063/1.4862303
View details for Web of Science ID 000331215200044
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Model-based scaling of the streamwise energy density in high-Reynolds-number turbulent channels
JOURNAL OF FLUID MECHANICS
2013; 734: 275-316
View details for DOI 10.1017/jfm.2013.457
View details for Web of Science ID 000325817200015
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On coherent structure in wall turbulence
JOURNAL OF FLUID MECHANICS
2013; 728: 196-238
View details for DOI 10.1017/jfm.2013.286
View details for Web of Science ID 000321835100014
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Time-resolved measurements of coherent structures in the turbulent boundary layer
EXPERIMENTS IN FLUIDS
2013; 54 (4)
View details for DOI 10.1007/s00348-013-1508-4
View details for Web of Science ID 000318158500016
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Experimental manipulation of wall turbulence: A systems approach
PHYSICS OF FLUIDS
2013; 25 (3)
View details for DOI 10.1063/1.4793444
View details for Web of Science ID 000316951900001
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Natural logarithms
JOURNAL OF FLUID MECHANICS
2013; 718: 1-4
View details for DOI 10.1017/jfm.2012.608
View details for Web of Science ID 000314643700002
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Phase relationships between large and small scales in the turbulent boundary layer
EXPERIMENTS IN FLUIDS
2013; 54 (3)
View details for DOI 10.1007/s00348-013-1481-y
View details for Web of Science ID 000318157800011
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Obtaining accurate mean velocity measurements in high Reynolds number turbulent boundary layers using Pitot tubes
JOURNAL OF FLUID MECHANICS
2013; 715: 642-670
View details for DOI 10.1017/jfm.2012.538
View details for Web of Science ID 000313588800024
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Relaminarisation of Re-tau=100 channel flow with globally stabilising linear feedback control
PHYSICS OF FLUIDS
2011; 23 (12)
View details for DOI 10.1063/1.3662449
View details for Web of Science ID 000298642400032
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Dynamic roughness perturbation of a turbulent boundary layer
JOURNAL OF FLUID MECHANICS
2011; 688: 258-296
View details for DOI 10.1017/jfm.2011.375
View details for Web of Science ID 000298206900011
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Unsteady force measurements in sphere flow from subcritical to supercritical Reynolds numbers
EXPERIMENTS IN FLUIDS
2011; 51 (5): 1439-1453
View details for DOI 10.1007/s00348-011-1161-8
View details for Web of Science ID 000297167100019
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The effect of a small isolated roughness element on the forces on a sphere in uniform flow
EXPERIMENTS IN FLUIDS
2011; 51 (4): 1031-1045
View details for DOI 10.1007/s00348-011-1126-y
View details for Web of Science ID 000295174800012
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A study of the three-dimensional spectral energy distribution in a zero pressure gradient turbulent boundary layer
EXPERIMENTS IN FLUIDS
2011; 51 (4): 997-1012
View details for DOI 10.1007/s00348-011-1117-z
View details for Web of Science ID 000295174800010
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A streamwise-constant model of turbulent pipe flow
PHYSICS OF FLUIDS
2011; 23 (9)
View details for DOI 10.1063/1.3640081
View details for Web of Science ID 000295621800057
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Amplification and nonlinear mechanisms in plane Couette flow
PHYSICS OF FLUIDS
2011; 23 (6)
View details for DOI 10.1063/1.3599701
View details for Web of Science ID 000292333300036
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New perspectives on the impulsive roughness-perturbation of a turbulent boundary layer
JOURNAL OF FLUID MECHANICS
2011; 677: 179-203
View details for DOI 10.1017/jfm.2011.75
View details for Web of Science ID 000292095200007
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The effect of small-amplitude time-dependent changes to the surface morphology of a sphere
JOURNAL OF FLUID MECHANICS
2011; 675: 268-296
View details for DOI 10.1017/S0022112011000164
View details for Web of Science ID 000290491500011
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Interactions within the turbulent boundary layer at high Reynolds number
JOURNAL OF FLUID MECHANICS
2011; 666: 573-604
View details for DOI 10.1017/S0022112010004544
View details for Web of Science ID 000287053100022
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High-Reynolds Number Wall Turbulence
ANNUAL REVIEW OF FLUID MECHANICS, VOL 43
2011; 43: 353-375
View details for DOI 10.1146/annurev-fluid-122109-160753
View details for Web of Science ID 000287046400015
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A streamwise constant model of turbulence in plane Couette flow
JOURNAL OF FLUID MECHANICS
2010; 665: 99-119
View details for DOI 10.1017/S0022112010003861
View details for Web of Science ID 000285472800004
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Large-eddy simulation of large-scale structures in long channel flow
JOURNAL OF FLUID MECHANICS
2010; 661: 341-364
View details for DOI 10.1017/S0022112010002995
View details for Web of Science ID 000283960300015
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A critical-layer framework for turbulent pipe flow
JOURNAL OF FLUID MECHANICS
2010; 658: 336-382
View details for DOI 10.1017/S002211201000176X
View details for Web of Science ID 000282118000016
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Scaling the characteristic time of the bursting process in the turbulent boundary layer
ELSEVIER. 2010: 1296-1304
View details for DOI 10.1016/j.physd.2009.09.004
View details for Web of Science ID 000280032400013
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Intermittency in the atmospheric surface layer: Unresolved or slowly varying?
ELSEVIER SCIENCE BV. 2010: 1251-1257
View details for DOI 10.1016/j.physd.2009.10.010
View details for Web of Science ID 000280032400007
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Wall-bounded turbulent flows at high Reynolds numbers: Recent advances and key issues
PHYSICS OF FLUIDS
2010; 22 (6)
View details for DOI 10.1063/1.3453711
View details for Web of Science ID 000280143100026
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Applied physics. Controlling turbulence.
Science (New York, N.Y.)
2010; 327 (5972): 1462-3
View details for DOI 10.1126/science.1187607
View details for PubMedID 20299581
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Turbulent Channel Flow over Model "Dynamic" Roughness
SPRINGER. 2010: 87-92
View details for DOI 10.1007/978-90-481-9631-9_12
View details for Web of Science ID 000291369300012
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The near-neutral atmospheric surface layer: turbulence and non-stationarity
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
2007; 365 (1852): 859-876
Abstract
The neutrally stable atmospheric surface layer is used as a physical model of a very high Reynolds number, canonical turbulent boundary layer. Challenges and limitations with this model are addressed in detail, including the inherent thermal stratification, surface roughness and non-stationarity of the atmosphere. Concurrent hot-wire and sonic anemometry data acquired in Utah's western desert provide insight to Reynolds number trends in the axial velocity statistics and spectra.
View details for DOI 10.1098/rsta.2006.1946
View details for Web of Science ID 000243842600014
View details for PubMedID 17244589
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Introduction: scaling and structure in high Reynolds number wall-bounded flows
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
2007; 365 (1852): 635-646
View details for DOI 10.1098/rsta.2006.1952
View details for Web of Science ID 000243842600001
View details for PubMedID 17244586
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Asymptotic scaling in turbulent pipe flow
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
2007; 365 (1852): 771-787
Abstract
The streamwise velocity component in turbulent pipe flow is assessed to determine whether it exhibits asymptotic behaviour that is indicative of high Reynolds numbers. The asymptotic behaviour of both the mean velocity (in the form of the log law) and that of the second moment of the streamwise component of velocity in the outer and overlap regions is consistent with the development of spectral regions which indicate inertial scaling. It is shown that an 'inertial sublayer' in physical space may be considered as a spatial analogue of the inertial subrange in the velocity spectrum and such behaviour only appears for Reynolds numbers R+>5 x 10(3), approximately, much higher than was generally thought.
View details for DOI 10.1098/rsta.2006.1945
View details for Web of Science ID 000243842600009
View details for PubMedID 17244590
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Manufacture of micro-sensors and actuators for flow control
ELSEVIER SCIENCE BV. 2006: 1205-1208
View details for DOI 10.1016/j.mee.2006.01.171
View details for Web of Science ID 000237581900138
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A new friction factor relationship for fully developed pipe flow
JOURNAL OF FLUID MECHANICS
2005; 538: 429-443
View details for DOI 10.1017/S0022112005005501
View details for Web of Science ID 000232357600018
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Friction factors for smooth pipe flow
JOURNAL OF FLUID MECHANICS
2004; 511: 41-44
View details for DOI 10.1017/S0022112004009796
View details for Web of Science ID 000223289000003
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Scaling of the streamwise velocity component in turbulent pipe flow
JOURNAL OF FLUID MECHANICS
2004; 508: 99-131
View details for DOI 10.1017/S0022112004008985
View details for Web of Science ID 000222284000006
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The response of hot wires in high Reynolds-number turbulent pipe flow
MEASUREMENT SCIENCE AND TECHNOLOGY
2004; 15 (5): 789-798
View details for DOI 10.1088/0957-0233/15/5/003
View details for Web of Science ID 000221905200004
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Further observations on the mean velocity distribution in fully developed pipe flow
JOURNAL OF FLUID MECHANICS
2004; 501: 135-147
View details for DOI 10.1017/S0022112003007304
View details for Web of Science ID 000220639000007
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Revised log-law constants for fully-developed turbulent pipe flow
SPRINGER. 2004: 265-270
View details for Web of Science ID 000189414000046
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Pitot probe corrections in fully developed turbulent pipe flow
MEASUREMENT SCIENCE AND TECHNOLOGY
2003; 14 (8): 1449-1458
View details for DOI 10.1088/0957-0233/14/8/334
View details for Web of Science ID 000184917300036
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Static pressure correction in high Reynolds number fully developed turbulent pipe flow
MEASUREMENT SCIENCE AND TECHNOLOGY
2002; 13 (10): 1608-1614
View details for DOI 10.1088/0957-0233/13/10/314
View details for Web of Science ID 000178890500016
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Reynolds number dependence of streamwise velocity spectra in turbulent pipe flow
PHYSICAL REVIEW LETTERS
2002; 88 (21): 214501
Abstract
Spectra of the streamwise velocity component in fully developed turbulent pipe flow are presented for Reynolds numbers up to 5.7x10(6). Even at the highest Reynolds number, streamwise velocity spectra exhibit incomplete similarity only: while spectra collapse with both classical inner and outer scaling for limited ranges of wave number, these ranges do not overlap. Thus similarity may not be described as complete, and a region varying with the inverse of the streamwise wave number, k(1), is not expected, and any apparent k(-1)(1) range does not attract any special significance and does not involve a universal constant. Reasons for this are suggested.
View details for DOI 10.1103/PhysRevLett.88.214501
View details for Web of Science ID 000175579200014
View details for PubMedID 12059477