David Rival

Associate Professor

Queen's University

Canada

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About

David Rival is an Associate Professor at Queen's University in Canada. His research focuses on fluid dynamics, particularly in relation to particle tracking, wind turbine dynamics, and machine learning applications in aerodynamic load estimation. He has published several articles exploring topics such as flow-state estimation, dynamic separation in fluid flows, and uncertainty quantification in Reynolds-averaged Navier–Stokes modeling.

Articles (17)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (5)

Nikolas Aksamit

Associate Professor

UiT The Arctic University of Norway

NORWAY

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Kunihiko Taira

Professor

University of California, Los Angeles

UNITED STATES

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Bettina Frohnapfel

Professor

Karlsruhe Institute of Technology

GERMANY

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Nathaniel Wei

Assistant Professor

University of Pennsylvania

UNITED STATES

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Ugo Piomelli

Professor

Queen's University

CANADA

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David Rival

Research Interests

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About

Articles (17)

Escaping the lab: advances in large-scale particle tracking using natural light and uncrewed aerial vehicles

Sparse Pressure-Based Machine Learning Approach for Aerodynamic Loads Estimation During Gust Encounters

Wake dynamics of wind turbines in unsteady streamwise flow conditions

Relative fluid stretching and rotation for sparse trajectory observations

Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation

Lagrangian study of entrainment for confined vortex rings in dense suspensions using echo-LPT

Dynamic separation on an accelerating prolate spheroid

Model-form uncertainty quantification of Reynolds-averaged Navier–Stokes modeling of flows over a SD7003 airfoil

Quantification of Reynolds-averaged-Navier–Stokes model-form uncertainty in transitional boundary layer and airfoil flows

Characterization of unsteady separation in a turbulent boundary layer: mean and phase-averaged flow

On the robust autorotation of a samara-inspired rotor in gusty environments

Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data

On the lifespan of recirculating suspensions with pulsatile flow

Characterization of milkweed-seed gust response

Reynolds-number scaling of a vorticity-annihilating boundary layer

Capturing both carrier and disperse phases in dense suspensions using harmonic ultrasound imaging velocimetry

Sound source and pseudo-sound in the near field of a circular cylinder in subsonic conditions

Collaborators (5)

Nikolas Aksamit

Kunihiko Taira

Bettina Frohnapfel

Nathaniel Wei

Ugo Piomelli

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