A Computational Study of Explicit CFD Solvers

Rahul Basu

ISBN 13: 9798232527754

Published by Rahul Basu, 2025

About this Item

A Computational Study of Explicit CFD Solvers | Rahul Basu | Taschenbuch | Englisch | 2025 | Rahul Basu | EAN 9798232527754 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134263640

Bibliographic Details

• Title: A Computational Study of Explicit CFD Solvers
• Publisher: Rahul Basu
• Publication Date: 2025
• Language: English
• ISBN 13: 9798232527754
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 280W x 216H x 5D millimeters 280 millimeters width by 216 millimeters height by 5 millimeters depth
• Weight: 222 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In A Computational Study of Explicit CFD Solvers: With Applications to Inviscid Flow, Rahul Basu-a graduate of the California Institute of Technology-presents a rigorous exploration of explicit numerical methods for computational fluid dynamics. This insightful work demystifies efficient solver algorithms, their stability, and implementation challenges, with focused applications to inviscid flow simulations in aerospace and engineering. Ideal for researchers and practitioners seeking advanced tools for high-speed flow modeling, it bridges theory and computation with clarity and precision. Complete python programs and sample outputs are included

CFD solvers approximate fluid dynamics equations (e.g., Navier-Stokes or Euler for inviscid flows) via spatial discretization and temporal integration.

Spatial Discretization:

• Finite Difference (FDM): Taylor-based derivatives on structured grids; simple, efficient for regular shapes but struggles with irregularities.
• Finite Volume (FVM): Conserves fluxes over control volumes; versatile for unstructured grids and shocks, common in industry.
• Finite Element (FEM): Variational basis functions; strong for adaptive meshes and multiphysics.

Explicit methods (as in the book) excel in parallel efficiency for aerospace but need stability tweaks.