Verifying Calculations - Forty Years On : An Overview of Classical Verification Techniques for FEM Simulations / edited by Ludovic Chamoin, Pedro Díez
Contributor(s): SpringerLink (Online service)
| Chamoin, Ludovic, editor literario
| Díez, Pedro., editor literario
Material type:
E-bookSeries: (SpringerBriefs in Applied Sciences and Technology, 2191-530X).Publisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (VII, 94 páginas) : 20 ilustraciones.ISBN: 9783319205533.Subject: Simulación por ordenador
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA404.8 V475 2016 EB (Browse shelf(Opens below)) | .i11584270 | Acceso electrónico | eBOOK .i11584270 |
Preface, by Ludovic Chamoin and Pedro Díez -- Explicit Residual Methods, by Yvon Maday -- Residual type error estimators, by Antonio Huerta and Pedro Díez -- Fundaments of recovery-based error estimation and bounding, by E. Nadal and J.J. Ródenas -- The Constitutive Relation Error Method: a general verification tool, by Pierre Ladevèze and Ludovic Chamoin.
This work provides an overview of a posteriori error assessment techniques for Finite Element (FE) based numerical models. These tools aim at estimating and controlling the discretization error in scientific computational models, being the basis for the numerical verification of the FE solutions. The text discusses�the capabilities and limitations of classical methods�to build error estimates which can be used to control the quality of numerical simulations and drive adaptive algorithms, with a focus on Computational Mechanics engineering applications. Fundamentals principles of residual methods, smoothing (recovery) methods, and constitutive relation error (duality based) methods are thus addressed along the manuscript. Attention is paid to recent advances and forthcoming research challenges on related topics. �The book constitutes a useful guide for students, researchers, or engineers wishing to acquire insights into state-of-the-art techniques for numerical verification.
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