On the accuracy and convergence of the hybrid FE-meshfree Q4-CNS element in surface fitting problems

Tjong, Wong Foek and SOETANTO, RICHO MICHAEL and Budiman, Januar (2018) On the accuracy and convergence of the hybrid FE-meshfree Q4-CNS element in surface fitting problems. [UNSPECIFIED]

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        In the last decade, several hybrid methods combining the finite element and meshfree methods have been proposed for solving elasticity problems. Among these methods, a novel quadrilateral four-node element with continuous nodal stress (Q4-CNS) is of our interest. In this method, the shape functions are constructed using the combination of the �non-conforming� shape functions for the Kirchhoff�s plate rectangular element and the shape functions obtained using an orthonormalized and constrained least-squares method. The key advantage of the Q4-CNS element is that it provides the continuity of the gradients at the element nodes so that the global gradient fields are smooth and highly accurate. This paper presents a numerical study on the accuracy and convergence of the Q4-CNS interpolation and its gradients in surface fitting problems. Several functions of two variables were employed to examine the accuracy and convergence. Furthermore, the consistency property of the Q4-CNS interpolation was also examined. The results show that the Q4-CNS interpolation possesses a bi-linear order of consistency even in a distorted mesh. The Q4-CNS gives highly accurate surface fittings and possess excellent convergence characteristics. The accuracy and convergence rates are better than those of the standard Q4 element.

        Item Type: UNSPECIFIED
        Uncontrolled Keywords: continuous nodal stress; finite element; meshfree; Q4-CNS; quadrilateral four-node element; surface fitting
        Subjects: T Technology > TA Engineering (General). Civil engineering (General)
        Divisions: Faculty of Civil Engineering and Planning > Civil Engineering Department
        Depositing User: Admin
        Date Deposited: 25 Jan 2018 00:19
        Last Modified: 18 Jan 2019 05:54
        URI: http://repository.petra.ac.id/id/eprint/17724

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