Numerical Methods in Computational Mechanics
Auteurs : Ghaboussi Jamshid, Wu Xiping Steven
This book explores the numerical algorithms underpinning modern finite element based computational mechanics software. It covers all the major numerical methods that are used in computational mechanics. It reviews the basic concepts in linear algebra and advanced matrix theory, before covering solution of systems of equations, symmetric eigenvalue solution methods, and direct integration of discrete dynamic equations of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers in computational mechanics. Increased understanding of the underlying numerical methods will also help practicing engineers to use the computational mechanics software more effectively.
Review of Matrix Analysis. Review of Methods of Analysis In Structural Mechanics. Solution of System of Linear Equations. Iterative Solution Methods for System of Linear Equations. Conjugate Gradient Methods. Solution Methods for System of Nonlinear Equations. Eigenvalue Solution Methods. Direct Integration of Dynamic Equation of Motion. The Generalized Difference Method.
Jamshid Ghaboussi is Professor Emeritus at University of Illinois at Urbana-Champaign. He has over 45 years of experience in teaching and research in Computational Mechanics, Computational Intelligence and Soft Computing in Engineering Applications. Dr. Xiping Wu is a Principal Engineer in Civil and Marine Engineering with Shell International Exploration & Production Inc.
Date de parution : 11-2016
17.8x25.4 cm
Date de parution : 06-2019
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 37,68 €
Ajouter au panierThèmes de Numerical Methods in Computational Mechanics :
Mots-clés :
Internal Resisting Force Vector; Solution Vector; Conjugate gradient; Stiffness Matrix; symmetric eigenvalue problems; Rayleigh Quotient; subspace iteration; Unit Lower Triangular Matrix; Lanczos algorithm; Triangular Decomposition; generalized differences; Displacement Vector; linear equations; Jacobi Method; QR Method; Lanczos Vectors; Inverse Power Method; Tangent Stiffness Matrix; QR Algorithm; Conjugate Gradient Method; Direct Integration Methods; Generalized Eigenvalue Problem; SOR Method; Gauss Seidel Method; Orthogonal Similarity Transformation; Structural Stiffness Matrix; Ritz Vectors; Linearly Independent; RF Method; Newton Raphson Iteration