Name: Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning (en Inglés)
Price: 965.80 PEN
Availability: InStock
Author: Pitsch, Heinz ; Attili, Antonio
ISBN: 9783030447175

portada Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning (en Inglés)

Formato

Libro Físico

Ilustrado por

Heinz Pitsch

Antonio Attili

Editorial

Springer

Autor

Pitsch, Heinz ; Attili, Antonio

Idioma

Inglés

N° páginas

292

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.8 cm

Peso

0.60 kg.

ISBN13

9783030447175

Categorías

Termodinámica y calor
Física matemática
Ingeniería mecánica

Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning (en Inglés)

Heinz Pitsch (Ilustrado por) · Antonio Attili (Ilustrado por) · Springer · Tapa Dura

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S/ 965,80

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Reseña del libro "Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning (en Inglés)"

This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data. The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics, applied mathematics, and the environmental and atmospheric sciences.