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7932 results in Fluid dynamics and solid mechanics

Page 25 of 397

Data-Driven Fluid Mechanics
  • Combining First Principles and Machine Learning
  • Edited by Miguel A. Mendez, Andrea Ianiro, Bernd R. Noack, Steven L. Brunton
  • Published online:
    12 January 2023
    Print publication:
    02 February 2023
  • Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control. Fluid mechanics is historically a big data field and offers a fertile ground for developing and applying data-driven methods, while also providing valuable shortcuts, constraints, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.

  • 1 - General Introduction

  • Sébastien Galtier, Université Paris-Saclay
  • Book:
    Physics of Wave Turbulence
    Published online:
    08 December 2022
    Print publication:
    22 December 2022, pp 1-24
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Page 25 of 397