The Finite Element Method In Thin Shell Theory

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The Finite Element Method in Thin Shell Theory: Application to Arch Dam Simulations

The Finite Element Method in Thin Shell Theory: Application to Arch Dam Simulations
Author :
Publisher : Springer Science & Business Media
Total Pages : 206
Release :
ISBN-10 : 9781468491432
ISBN-13 : 1468491431
Rating : 4/5 (431 Downloads)

Book Synopsis The Finite Element Method in Thin Shell Theory: Application to Arch Dam Simulations by : Bernardou

Download or read book The Finite Element Method in Thin Shell Theory: Application to Arch Dam Simulations written by Bernardou and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: ~his Monograph has two objectives : to analyze a f inite e l e m en t m e th o d useful for solving a large class of t hi n shell prob l e ms, and to show in practice how to use this method to simulate an arch dam prob lem. The first objective is developed in Part I. We record the defi- tion of a general thin shell model corresponding to the W.T. KOlTER linear equations and we show the existence and the uniqueness for a solution. By using a co nform ing fi nite e l e m ent me t hod , we associate a family of discrete problems to the continuous problem ; prove the convergence of the method ; and obtain error estimates between exact and approximate solutions. We then describe the impl em enta t ion of some specific conforming methods. The second objective is developed in Part 2. It consists of applying these finite element methods in the case of a representative practical situation that is an arc h dam pro b le m. This kind of problem is still of great interest, since hydroelectric plants permit the rapid increase of electricity production during the day hours of heavy consumption. This regulation requires construction of new hydroelectric plants on suitable sites, as well as permanent control of existing dams that may be enlightened by numerical stress analysis .


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