Theory and practice of finite elements
Series: Applied Mathematical Sciences No. 159Publication details: New York: Springer, 2004.Description: xiii, 524p.: pbk.: 24 cmISBN:- 9781441919182
- 620.0042 ERN
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IIT Gandhinagar | General | 620.0042 ERN (Browse shelf(Opens below)) | 1 | Checked out | 10/03/2026 | 035045 |
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| 620.004 ZIM Rules we break: lessons in play, thinking, and design | 620.0042 CHU Rapid prototyping: 3D printing and additive manufacturing, principles and applications | 620.0042 DIE Engineering design | 620.0042 ERN Theory and practice of finite elements | 620.0042 HUG Finite element method: linear static and dynamic finite element analysis | 620.0042 LAL Fundamentals of design and manufacturing | 620.0042 LAL Fundamentals of design and manufacturing |
Includes Bibliographical References and Index
The origins of the finite element method can be traced back to the 1950s when engineers started to solve numerically structural mechanics problems in aeronautics. Since then, the field of applications has widened steadily and nowadays encompasses nonlinear solid mechanics, fluid/structure interactions, flows in industrial or geophysical settings, multicomponent reactive turbulent flows, mass transfer in porous media, viscoelastic flows in medical sciences, electromagnetism, wave scattering problems, and option pricing (to cite a few examples). Numerous commercial and academic codes based on the finite element method have been developed over the years. The method has been so successful to solve Partial Differential Equations (PDEs) that the term "Finite Element Method" nowadays refers not only to the mere interpolation technique it is, but also to a fuzzy set of PDEs and approximation techniques. The efficiency of the finite element method relies on two distinct ingredi ents: the interpolation capability of finite elements (referred to as the approx imability property in this book) and the ability of the user to approximate his model (mostly a set of PDEs) in a proper mathematical setting (thus guar anteeing continuity, stability, and consistency properties). Experience shows that failure to produce an approximate solution with an acceptable accuracy is almost invariably linked to departure from the mathematical foundations. Typical examples include non-physical oscillations, spurious modes, and lock ing effects. In most cases, a remedy can be designed if the mathematical framework is properly set up.
https://link.springer.com/book/10.1007/978-1-4757-4355-5
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