Data Driven Analysis and Modeling of Turbulent Flows

Name: Data Driven Analysis and Modeling of Turbulent Flows
Brand: Elsevier US
Price: 542.75 AUD
Availability: PreOrder

By: Duraisamy

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Paperback | 1 March 2025 | Edition Number 1

At a Glance

Paperback
460 Pages

Dimensions(cm)
22.9 x 15.2

Paperback

$542.75

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Available: 1st March 2025

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Data-driven Analysis and Modeling of Turbulent Flows explains methods for the analysis of large fields of data, and uncovering models and model improvements from numerical or experimental data on turbulence. Turbulence simulations generate large data sets, and the extraction of useful information from these data fields is an important and challenging task. Statistical learning and machine learning have provided many ways of helping, and this book explains how to use such methods for extracting, treating, and optimizing data to improve predictive turbulence models. These include methods such as POD, SPOD and DMD, for the extraction of modes peculiar to the data, as well as several reduced order models. This resource is essential reading for those developing turbulence models, performing turbulence simulations or interpreting turbulence simulation results.

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