1.

Record Nr.

UNINA9910254197603321

Titolo

Verifying Calculations - Forty Years On : An Overview of Classical Verification Techniques for FEM Simulations / / edited by Ludovic Chamoin, Pedro Díez

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-20553-6

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (101 p.)

Collana

SpringerBriefs in Applied Sciences and Technology, , 2191-530X

Disciplina

620

Soggetti

Mechanics

Mechanics, Applied

Computer simulation

Computer mathematics

Theoretical and Applied Mechanics

Simulation and Modeling

Computational Science and Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.