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May 6, 2026International Journal of Computational Methods0 citations

Annular and Disk Finite Elements for Two-Dimensional Elastostatic Problems

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PHPan HuiYLYijun Liu

Key Points

  • To develop finite element techniques that improve the accuracy and efficiency of solving 2D elastostatic problems.
  • Introduced an annular finite element with a geometric mapping using the polar coordinate system.
  • Developed a circular disk super element by applying static condensation to reduce computational complexity.
  • Verified the performance against analytical solutions for thick-walled cylinders and stress concentrations.
  • Annular finite element shows high-fidelity representation of circular boundaries.
  • Static condensation technique significantly reduces the global system size while maintaining accuracy.
  • Demonstrated efficiency through simulations of large-scale disk packing problems with reliable internal stress analysis.

Abstract

This paper presents a new annular finite element and circular disk super element for solving two-dimensional (2-D) elastostatic problems. Addressing the geometric approximation errors inherent in standard polynomial-based elements, the proposed annular element employs an exact geometric mapping based on the polar coordinate system, ensuring a theoretically consistent representation of circular boundaries. The displacement field is interpolated using standard Q8 shape functions to maintain compatibility. Furthermore, to enhance computational efficiency for large-scale particulate systems, a disk super element is developed by applying static condensation to eliminate internal degrees of freedom. This technique significantly reduces the global system size without compromising the high-fidelity internal stress analysis. The accuracy of the annular element is rigorously verified against analytical solutions for thick-walled cylinders and disks with stress concentrations. Finally, the efficiency and physical consistency of the disk super element are demonstrated through the simulation of large-scale disk packing problems, highlighting its potential for modeling granular composites and microstructures.

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Cite This Study

Hui et al. (2026) studied this question.

synapsesocial.com/papers/69faa2b504f884e66b533527https://doi.org/10.1142/s0219876226500350
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