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Fundamentals of Structural Optimization (II): Shape, Anisotropy, Topology: Mathematical Engineering

Autor Vladimir Kobelev
en Limba Engleză Hardback – 29 aug 2024
This book provides a comprehensive overview of analytical methods for solving optimization problems, covering principles and mathematical techniques alongside numerical solution routines, including MAPLE and MAXIMA optimization routines. Each method is explained with practical applications and ANSYS APDL scripts for select problems. Chapters delve into topics such as scaling methods, torsion compliance, shape variation, topological optimization, anisotropic material properties, and differential geometry. Specific optimization problems, including stress minimization and mass reduction under constraints, are addressed. The book also explores isoperimetric inequalities and optimal material selection principles. Appendices offer insights into tensors, differential geometry, integral equations, and computer algebra codes. Overall, it's a comprehensive guide for engineers and researchers in structural optimization.
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Specificații

ISBN-13: 9783031591396
ISBN-10: 3031591399
Ilustrații: VIII, 192 p. 20 illus., 10 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer International Publishing
Colecția Springer
Seria Mathematical Engineering

Locul publicării:Cham, Switzerland

Cuprins

Scaling Methods. Optimality of Michell Structures and membrane shells.- One-Dimensional Variational Methods. Optimization of twisted spherical shell.- Methods of Domain Variations for Shape Optimization.- Methods of Local Variations. Topological derivatives and Bubble Methods.- Methods of Tensor Transformations for Anisotropic Medium.- Methods of Differential Geometry. Optimal distributions of the residual stresses.- Integral Equation Methods. Optimization of stiffeners and needle-shaped inclusions.- Isoperimetric Inequalities. Structural optimization problems of stability.

Caracteristici

Provides an overview of the most important mathematical methods in engineering optimization Introduces classical methods from variational calculus and Noetherian theory applied to structural optimization Presents qualitative approaches based on shape, topology, and anisotropy optimization methods