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Stochastic Finite Element Methods: An Introduction 1st ed. 2018 [Kõva köide]

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  • Formaat: Hardback, 138 pages, kõrgus x laius: 235x155 mm, kaal: 3672 g, 26 Illustrations, color; 27 Illustrations, black and white; XXI, 138 p. 53 illus., 26 illus. in color., 1 Hardback
  • Sari: Mathematical Engineering
  • Ilmumisaeg: 08-Nov-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319645277
  • ISBN-13: 9783319645278
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Stochastic Finite Element Methods: An Introduction 1st ed. 2018Suurem pilt
  • Formaat: Hardback, 138 pages, kõrgus x laius: 235x155 mm, kaal: 3672 g, 26 Illustrations, color; 27 Illustrations, black and white; XXI, 138 p. 53 illus., 26 illus. in color., 1 Hardback
  • Sari: Mathematical Engineering
  • Ilmumisaeg: 08-Nov-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319645277
  • ISBN-13: 9783319645278
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319645278.html
Märksõnad:
The book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and enables practicing engineers to better manage the concepts of analysis and design in the presence of uncertainty. The book covers the basic topics of computational stochastic mechanics focusing on the stochastic analysis of structural systems in the framework of the finite element method. The target audience primarily comprises students in a postgraduate program specializing in structural engineering but the book may also be beneficial to practicing engineers and research experts alike.

Arvustused

This book stands as an introduction to stochastic finite elements, with applications to the estimation of the responses variability and the reliability of stochastic systems. Throughout this useful book, the reader (for example, a mathematician or an engineer) will find interesting numerical examples and exercises. (Dimitra C. Antonopoulou, Mathematical Reviews, October, 2018)

Stochastic processes.-  Representation of a stochastic
process.- Stochastic finite element method.- Reliability analysis.