000 | 03571nam a22003495i 4500 | ||
---|---|---|---|
001 | 316305 | ||
003 | MX-SnUAN | ||
005 | 20160429160930.0 | ||
007 | cr nn 008mamaa | ||
008 | 160108s2014 gw | s |||| 0|eng d | ||
020 |
_a9783319061825 _9978-3-319-06182-5 |
||
035 | _avtls000417023 | ||
039 | 9 |
_y201601081127 _zstaff |
|
050 | 4 | _aTA405-409.3 | |
100 | 1 |
_aChinesta, Francisco, _eautor. _9322312 |
|
245 | 1 | 0 |
_aPgd-based modeling of materials, structures and processes / _cFrancisco Chinesta, Elías Cueto. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bSpringer, _c2014. |
|
300 |
_axvii, 219 páginas : _b84 ilustraciones |
||
336 |
_atexto _btxt _2rdacontent |
||
337 |
_acomputadora _bc _2rdamedia |
||
338 |
_arecurso en línea _bcr _2rdacarrier |
||
347 |
_aarchivo de texto _bPDF _2rda |
||
490 | 0 |
_aESAFORM Bookseries on Material Forming, _x2198-9907 |
|
500 | _aSpringer eBooks | ||
505 | 0 | _a1 Introduction -- 1.1 Recurrent issues in numerical simulation -- 1.2 Model reduction: information versus relevant information -- 1.3 PGD at a glance -- 1.4 Revisiting the simulation challenges -- 1.5 A brief state of the art on PGD-based model order reduction -- 2 Multiscale modelling -- 2.1 From quantum mechanics to kinetic theory -- 2.2 Advanced solvers for multi-dimensional models -- 2.3 Numerical examples -- 2.4 Conclusions -- 3 Homogenization -- 3.1 Homogenization of linear heterogenous models -- 3.2 Non-concurrent nonlinear homogenization -- 3.3 Numerical examples -- 3.4 Conclusions -- 4 Coupled models -- 4.1 Efficient coupling of global and local models -- 4.2 Fully globalized local models -- 4.3 Heterogeneous time integration -- 4.4 Numerical example -- 4.5 Discussion -- 5 Parametric models in evolving domains -- 5.1 Evolving domains issues -- 5.2 PGD in evolving domains -- 5.3 Separated representation constructor -- 5.4 Numerical test -- 5.5 Towards parametric modeling in evolving domains -- 5.6 Numerical test involving parametric modeling -- 5.7 Conclusions -- 6 Space separation -- 6.1 In-plane/out-of-plane separated representation -- 6.2 Laminates -- 6.3 Conclusions -- 7 Process optimization -- 7.1 Parametric boundary conditions -- 7.2 Parametric modeling of pultrusion -- 7.3 Optimization strategy -- 7.4 Conclusion 8 Shape optimization -- 8.1 Introduction -- 8.2 Geometrical parameters as extra-coordinates -- 8.3 Numerical results -- 8.4 Conclusions -- 9 DDDAS -- 9.1 Introduction to DDDAS -- 9.2 PGD solution of a flowing process -- 9.3 Simulating a breakdown scenario -- 9.4 Post-processing in a smartphone -- 9.5 Conclusions -- 10 Inverse analysis -- 10.1 PGD based parameter identification -- 10.2 PGD based Cauchy’s problem -- 10.3 Parameter identification examples -- 10.4 Cauchy’s problem example -- 10.5 Conclusions -- 11 Tape placement -- 11.1 Parametric modeling -- 11.2 ATP thermal model -- 11.3 ATP mechanical modeling -- 11.4 Numerical results -- 11.5 Conclusions -- 12 Augmented learning -- 12.1 Towards augmented learning -- 12.2 Examples of augmented learning -- 12.3 Conclusions -- References -- Index. | |
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aCueto, Elías, _eautor. _9359421 |
|
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
|
776 | 0 | 8 |
_iEdición impresa: _z9783319061818 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-319-06182-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
942 | _c14 | ||
999 |
_c316305 _d316305 |