This paper establishes error estimates and a posteriori estimators for the crouzeix–raviart approximation of the obstacle problem, indicating optimal reliability and efficiency.
In the present paper, we study a Crouzeix–Raviart approximation of the obstacle problem, which imposes the obstacle constraint in the midpoints ( i.e. , barycenters) of the elements of a triangulation. We establish a priori error estimates imposing natural regularity assumptions, which are optimal, and the reliability and efficiency of a primal-dual type a posteriori error estimator for general obstacles and involving data oscillation terms stemming only from the right-hand side. Numerical experiments are carried out to support the theoretical findings.
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Bartels et al. (2025) studied this question.
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