Nonlinear Computational Solid Mechanics

By: Jamshid Ghaboussi, David A. Pecknold, Xiping Steven Wu

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Paperback | 10 December 2019

At a Glance

Paperback
398 Pages

Dimensions(cm)
25.4 x 17.78 x 2.08

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This book presents the fundamentals of nonlinear mechanics within a modern computational approach　based mainly on finite element methods. Both material and geometric nonlinearities are treated. The topics build up from the mechanics of finite deformation of solid bodies through to nonlinear structural behaviour including buckling, bifurcation and snap-through. The principles are illustrated with a series of solved problems.　This book　serves as a text book for a second year graduate course and as a reference for practitioners using nonlinear analysis in engineering and design.

Industry Reviews

"An excellent introduction to non-linear computational mechanics addressed to Masters students interested in the mechanics of structures."

-- Laurent Delannay, Universite Catholique de Louvain

"...a useful combination of material that I would refer to in both my teaching of undergraduate/masters students and to introduce PhD students to particular aspects in computational mechanics."

-- William Coombs, Durham University

"This book is intended to provide much of that necessary background in an accessible form. The book can serve as a reference for engineers, analysts and software developers in practice, as well as a graduate course text."

-- Jan Sladek, Zentralblatt MATH, Vol 1381

"An excellent introduction to non-linear computational mechanics addressed to Masters students interested in the mechanics of structures."

-- Laurent Delannay, Universite catholique de Louvain

"...a useful combination of material that I would refer to in both my teaching of undergraduate/masters students and to introduce PhD students to particular aspects in computational mechanics."

-- William Coombs, Durham University

"This book is intended to provide much of that necessary background in an accessible form. The book can serve as a reference for engineers, analysts and software developers in practice, as well as a graduate course text."

-- Jan Sladek, Zentralblatt MATH, Vol 1381

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