Kontakt
Wie einkaufen
Versand
Kaufberater
Emulation of Complex Fluid Flows
Projection-Based Reduced-Order Modeling and Machine Learning
Englisch
458 b
Bis zu 30 Tage Rückgaberecht
Kunden kauften auch
/
Broschur
6.39
€
/
Broschur
20.49
€
While artificial intelligence has made significant strides in imaging and natural language processing, its utilization in engineering science remains relatively new. This book aims to introduce machine learning techniques to facilitate the emulation of complex fluid flows. The work focuses on projection-based reduced-order models (ROMs) that condense high-dimensional data into a low-dimensional subspace by leveraging principal components. Techniques like proper orthogonal decomposition (POD) and convolutional autoencoder (CAE) are utilized to configure this subspace, establishing a functional mapping between input parameters and solution fields. The applicability of POD-based ROMs for spatial and spatiotemporal problems are explored across various engineering scenarios, including flow past a cylinder, supercritical turbulent flows, and hydrogen-blended combustion. To capture intricate dynamics, common POD, kernel-smoothed POD, and common kernel-smoothed POD methods are developed in sequence. Additionally, the effectiveness of POD and CAE in capturing nonlinear features are compared. This book is designed to benefit graduate students and researchers interested in the intersection of data and engineering sciences.
Informationen zum Buch
Englisch
Kategorie
Verschenken Sie dieses Buch noch heute
Es ist ganz einfach
1 Legen Sie das Buch in Ihren Warenkorb und wählen Sie den Versand als Geschenk 2 Wir schicken Ihnen umgehend einen Gutschein 3 Das Buch wird an die Adresse des beschenkten Empfängers geliefertDas könnte Sie auch interessieren
/
Broschur
26.29
€
/
Hardcover
47.89
€
/
Hardcover
36.69
€
/
Broschur
20.59
€
Hallo! Ich bin Libroamiko, dein Buchberater.
Wie kann ich dir helfen?