Parameter identification in constitutive models via optimization witha posteriori error control

2005 ◽  
Vol 62 (10) ◽  
pp. 1315-1340 ◽  
Author(s):  
Håkan Johansson ◽  
Kenneth Runesson
Keyword(s):  
Parameter Identification ◽  
Error Control ◽  
Constitutive Models ◽  
Posteriori Error

scholarly journals Functional A Posteriori Error Control for Conforming Mixed Approximations of Coercive Problems with Lower Order Terms

2016 ◽  
Vol 16 (4) ◽  
pp. 609-631 ◽  
Author(s):  
Immanuel Anjam ◽  
Dirk Pauly
Keyword(s):  
Error Control ◽  
A Posteriori Error Estimates ◽  
Reaction Diffusion ◽  
Posteriori Error ◽  
Diffusion Problem ◽  
Mixed Formulation ◽  
A Posteriori ◽  
A Posteriori Error ◽  
Linear Partial Differential Equations ◽  
Primal And Dual

AbstractThe results of this contribution are derived in the framework of functional type a posteriori error estimates. The error is measured in a combined norm which takes into account both the primal and dual variables denoted by x and y, respectively. Our first main result is an error equality for all equations of the class ${\mathrm{A}^{*}\mathrm{A}x+x=f}$ or in mixed formulation ${\mathrm{A}^{*}y+x=f}$, ${\mathrm{A}x=y}$, where the exact solution $(x,y)$ is in $D(\mathrm{A})\times D(\mathrm{A}^{*})$. Here ${\mathrm{A}}$ is a linear, densely defined and closed (usually a differential) operator and ${\mathrm{A}^{*}}$ its adjoint. In this paper we deal with very conforming mixed approximations, i.e., we assume that the approximation ${(\tilde{x},\tilde{y})}$ belongs to ${D(\mathrm{A})\times D(\mathrm{A}^{*})}$. In order to obtain the exact global error value of this approximation one only needs the problem data and the mixed approximation itself, i.e., we have the equality$\lvert x-\tilde{x}\rvert^{2}+\lvert\mathrm{A}(x-\tilde{x})\rvert^{2}+\lvert y-% \tilde{y}\rvert^{2}+\lvert\mathrm{A}^{*}(y-\tilde{y})\rvert^{2}=\mathcal{M}(% \tilde{x},\tilde{y}),$where ${\mathcal{M}(\tilde{x},\tilde{y}):=\lvert f-\tilde{x}-\mathrm{A}^{*}\tilde{y}% \rvert^{2}+\lvert\tilde{y}-\mathrm{A}\tilde{x}\rvert^{2}}$ contains only known data. Our second main result is an error estimate for all equations of the class ${\mathrm{A}^{*}\mathrm{A}x+ix=f}$ or in mixed formulation ${\mathrm{A}^{*}y+ix=f}$, ${\mathrm{A}x=y}$, where i is the imaginary unit. For this problem we have the two-sided estimate$\frac{\sqrt{2}}{\sqrt{2}+1}\mathcal{M}_{i}(\tilde{x},\tilde{y})\leq\lvert x-% \tilde{x}\rvert^{2}+\lvert\mathrm{A}(x-\tilde{x})\rvert^{2}+\lvert y-\tilde{y}% \rvert^{2}+\lvert\mathrm{A}^{*}(y-\tilde{y})\rvert^{2}\leq\frac{\sqrt{2}}{% \sqrt{2}-1}\mathcal{M}_{i}(\tilde{x},\tilde{y}),$where ${\mathcal{M}_{i}(\tilde{x},\tilde{y}):=\lvert f-i\tilde{x}-\mathrm{A}^{*}% \tilde{y}\rvert^{2}+\lvert\tilde{y}-\mathrm{A}\tilde{x}\rvert^{2}}$ contains only known data. We will point out a motivation for the study of the latter problems by time discretizations or time-harmonic ansatz of linear partial differential equations and we will present an extensive list of applications including the reaction-diffusion problem and the eddy current problem.

Pointwise a posteriori error control for elliptic obstacle problems

2003 ◽  
Vol 95 (1) ◽  
pp. 163-195 ◽  
Author(s):  
Ricardo H. Nochetto ◽  
Kunibert G. Siebert ◽  
Andreas Veeser
Keyword(s):  
Error Control ◽  
Posteriori Error ◽  
Obstacle Problems ◽  
A Posteriori ◽  
A Posteriori Error

Estimates of the Distance to the Set of Solenoidal Vector Fields and Applications to A Posteriori Error Control

2015 ◽  
Vol 15 (4) ◽  
pp. 515-530 ◽  
Author(s):  
Sergey Repin
Keyword(s):  
Error Control ◽  
Vector Fields ◽  
Bounded Operator ◽  
Posteriori Error ◽  
Stability Theorem ◽  
A Posteriori ◽  
Solenoidal Vector ◽  
Bounded Lipschitz Domain ◽  
Incompressible Viscous Fluids ◽  
The Stability

AbstractThe paper is concerned with computable estimates of the distance between a vector-valued function in the Sobolev space$W^{1,\gamma }(\Omega ,\mathbb {R}^d)$(where${\gamma \in (1,+\infty )}$and Ω is a bounded Lipschitz domain in ℝd) and the subspace${S^{1,\gamma }(\Omega ,\mathbb {R}^d)}$containing all divergence-free (solenoidal) vector functions. Derivation of these estimates is closely related to the stability theorem that establishes existence of a bounded operator inverse to the operator${\operatorname{div}}$. The constant in the respective stability inequality arises in the estimates of the distance to the set${S^{1,\gamma }(\Omega ,\mathbb {R}^d)}$. In general, it is difficult to find a guaranteed and realistic upper bound of this global constant. We suggest a way to circumvent this difficulty by using weak (integral mean) solenoidality conditions and localized versions of the stability theorem. They are derived for the case where Ω is represented as a union of simple subdomains (overlapping or non-overlapping), for which estimates of the corresponding stability constants are known. These new versions of the stability theorem imply estimates of the distance to${S^{1,\gamma }(\Omega ,\mathbb {R}^d)}$that involve only local constants associated with subdomains. Finally, the estimates are used for deriving fully computable a posteriori estimates for problems in the theory of incompressible viscous fluids.

scholarly journals Parameter identification for constitutive models of innovative textile composite materials using digital image correlation

PAMM ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Justin Felix Hofmann ◽  
Claudia von Boyneburgk ◽  
Sophie Tunger ◽  
Hans-Peter Heim ◽  
Detlef Kuhl
Keyword(s):  
Composite Materials ◽  
Digital Image Correlation ◽  
Parameter Identification ◽  
Digital Image ◽  
Constitutive Models ◽  
Image Correlation ◽  
Textile Composite

scholarly journals A Posteriori Error Control for Fully Discrete Crank--Nicolson Schemes

2012 ◽  
Vol 50 (6) ◽  
pp. 2845-2872 ◽  
Author(s):  
E. Bänsch ◽  
F. Karakatsani ◽  
Ch. Makridakis
Keyword(s):  
Error Control ◽  
Posteriori Error ◽  
A Posteriori ◽  
A Posteriori Error ◽  
Fully Discrete ◽  
Crank Nicolson

On a posteriori error control for the Allen-Cahn problem

2013 ◽  
Vol 37 (2) ◽  
pp. 173-179 ◽  
Author(s):  
Emmanuil H. Georgoulis ◽  
Charalambos Makridakis
Keyword(s):  
Error Control ◽  
Posteriori Error ◽  
A Posteriori ◽  
A Posteriori Error
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