Numerical approximation of Mindlin-Reissner plates
Mathematics of Computation
Computer Methods in Applied Mechanics and Engineering
A uniformly accurate finite element method for the Reissner-Mindlin plate
SIAM Journal on Numerical Analysis
Mixed and hybrid finite element methods
Mixed and hybrid finite element methods
A triangular thick plate finite element with an exact thin limit
Finite Elements in Analysis and Design - Special issue: Robert J. Melosh Medal Competition
An hp Error Analysis of MITC Plate Elements
SIAM Journal on Numerical Analysis
A Local Regularization Operator for Triangular and Quadrilateral Finite Elements
SIAM Journal on Numerical Analysis
Locking-free finite elements for the Reissner-Mindlin plate
Mathematics of Computation
A posteriori error estimator for a mixed finite element method for Reissner-Mindlin plate
Mathematics of Computation
Finite Element Method for Elliptic Problems
Finite Element Method for Elliptic Problems
SIAM Journal on Numerical Analysis
Error Estimates for Low-Order Isoparametric Quadrilateral Finite Elements for Plates
SIAM Journal on Numerical Analysis
A Family of Discontinuous Galerkin Finite Elements for the Reissner--Mindlin Plate
Journal of Scientific Computing
A Low-order Nonconforming Finite Element for Reissner--Mindlin Plates
SIAM Journal on Numerical Analysis
A Posteriori Error Analysis of the Linked Interpolation Technique for Plate Bending Problems
SIAM Journal on Numerical Analysis
A unifying theory of a posteriori error control for nonconforming finite element methods
Numerische Mathematik
A Posteriori Error Analysis of Finite Element Methods for Reissner-Mindlin Plates
SIAM Journal on Numerical Analysis
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This paper develops an a posteriori error control theory of finite element methods for Reissner-Mindlin plates, which states that one can derive a uniformly reliable and efficient a posteriori error estimate for a given scheme by only: (1) checking three conditions; (2) designing three functions and one parameter; (3) bounding the last three terms of the abstract estimator. We apply this theory to two classes of methods and achieve robust a posteriori error controls for them.