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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4._Plagiarism_Check-_On_the_accuracy_and_convergence_of_the_hybrid_FE-meshfree_Q4-CNS_element_in_surface_fitting_problems_(2017).pdf
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Abstract
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: | 24 Jan 2018 17:19 |
| Last Modified: | 17 Jan 2019 22:54 |
| URI: | https://repository.petra.ac.id/id/eprint/17724 |
