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Analytical Methods in Anisotropic Elasticity: with Symbolic Computational Tools [Paperback]

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  • Category: Books (Science)
  • Author:  Rand, Omri, Rovenski, Vladimir
  • Author:  Rand, Omri, Rovenski, Vladimir
  • ISBN-10:  0817642722
  • ISBN-10:  0817642722
  • ISBN-13:  9780817642723
  • ISBN-13:  9780817642723
  • Publisher:  Birkh?user
  • Publisher:  Birkh?user
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2004
  • Pub Date:  01-Mar-2004
  • SKU:  0817642722-11-SPRI
  • SKU:  0817642722-11-SPRI
  • Item ID: 100717440
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Dec 01 to Dec 03
  • Notes: Brand New Book. Order Now.

* Comprehensive textbook/reference applies mathematical methods and modern symbolic computational tools?to anisotropic elasticity

* Presents?unified approach to a vast diversity of structural models

* State-of-the-art solutions are provided for a wide range of composite material configurations, including: 3-D anisotropic bodies, 2-D anisotropic plates, laminated and thin-walled structures

Prior to the computer era, analytical methods in elasticity had already been developed and - proved up to impressive levels. Relevant mathematical techniques were extensively exploited, contributing signi?cantly to the understanding of physical phenomena. In recent decades, - merical computerized techniques have been re?ned and modernized, and have reached high levels of capabilities, standardization and automation. This trend, accompanied by convenient and high resolution graphical visualization capability, has made analytical methods less attr- tive, and the amount of effort devoted to them has become substantially smaller. Yet, with some tenacity, the tremendous advances in computerized tools have yielded various mature programs for symbolic manipulation. Such tools have revived many abandoned analytical methodologies by easing the tedious effort that was previously required, and by providing additional capab- ities to perform complex derivation processes that were once considered impractical. Generally speaking, it is well recognized that analytical solutions should be applied to re- tively simple problems, while numerical techniques may handle more complex cases. However, it is also agreed that analytical solutions provide better insight and improved understanding of the involved physical phenomena, and enable a clear representation of the role taken by each of the problem parameters. Nowadays, analytical and numerical methods are considered as c- plementary: that is, while analytical methods provide the required ulóT

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