000 02529 a2200253 4500
008 250124b |||||||| |||| 00| 0 eng d
020 _a9781441919182
082 _a620.0042 ERN
100 _aErn, Alexandre
245 _aTheory and practice of finite elements
260 _aNew York:
_bSpringer,
_c2004.
300 _axiii, 524p.:
_bpbk.:
_c24 cm.
440 _aApplied Mathematical Sciences No. 159
504 _aIncludes Bibliographical References and Index
520 _aThe 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
650 _aMathematical and Computational Engineering
650 _aMathematics and Numerical Analysis
650 _a Partial Differential Equations
650 _aApplications Mathematics in Computer Science
650 _aGalerkin Approximation
650 _aSobolev Space
700 _aGuermond, Jean-Luc
_eCo-author
942 _cTD
_2ddc
999 _c61582
_d61582