Автор: Megson, T.H.G. Название: Structural and Stress Analysis ISBN: 0081025866 ISBN-13(EAN): 9780081025864 Издательство: Elsevier Science Рейтинг: Цена: 67310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Structural and Stress Analysis, Fourth Edition, provides readers with a comprehensive introduction to all types of structural and stress analysis. Starting with an explanation of the basic principles of statics, the book then covers normal and shear force, bending moments, and torsion. Building on the success of prior editions, this update features new material on structural dynamics and fatigue, along with additional discussions of Eurocode compliance in the design of beams. With worked examples, practice problems, and extensive illustrations, it is an all-in-one resource for students and professionals interested in learning structural analysis.
Presents a comprehensive overview of structural and stress analysis
Includes numerous worked examples and end-of-chapter problems
Extensively illustrated to help visualize concepts
Contains a greater focus on digital trends in structural engineering, including newer computer analysis methods and how to check output of such methods to avoid 'black-box' engineering
Contains additional worked examples on plastic analysis of frames, bending moment distribution and displacement evaluations on collapse mechanics
Introduces content on statics to ensure that students know the basic concepts and can understand the equilibrium principles that govern all structures as well as the principles of the mechanisms involved in computer-based calculations.
Автор: Christian Bucher Название: Computational Analysis of Randomness in Structural Mechanics ISBN: 0415403545 ISBN-13(EAN): 9780415403542 Издательство: Taylor&Francis Рейтинг: Цена: 122490.00 T Наличие на складе: Невозможна поставка. Описание: Details computational aspects of stochastic analysis within the field of structural mechanics. This book is suitable for graduate students and for structural analysts who wish to explore the potential benefits of stochastic analysis.
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