Conic Section Elements Based on the Rational Absolute Nodal Coordinate Formulation

The construction of rational absolute nodal coordinate formulation (RANCF) elements is usually based on a linear transformation of non-uniform rational B-spline (NURBS) geometry. However, this linear transformation can lead to property transfer issues, which greatly reduce the modeling efficiency, especially for conic sections. To overcome this limitation, we first analyze the geometric constraints of conic sections and derive a unique defining equation in rational parametric form. A corresponding degree-elevation formula is also obtained. Using these results, we propose a direct definition method for RANCF elements that explicitly exploits the analytic properties of conic sections. The method provides fast and accurate expressions for the nodal coordinates and weights, and thus enables efficient modeling of RANCF elements for conic-section configurations. We also mitigate the arbitrariness in element definition by introducing, for the first time, the concept of a mapping factor K, which characterizes the mapping between the physical space and the parameter space. Based on this mapping factor, we establish a parameterization procedure for RANCF conic-section elements. An evaluation criterion for K is further proposed and used to define the optimal mapping factor Kopt, which yields an optimal parameterization and allows the construction of Kopt elements. Numerical examples demonstrate that, in large-deformation analyses of flexible systems, the proposed elements can achieve a given accuracy with fewer elements than conventional approaches.

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Publication Details

Journal
Mathematics
Published
2025-12-11
DOI
https://doi.org/10.3390/math13243951
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Conic Section Elements Based on the Rational Absolute Nodal Coordinate Formulation

Lan Peng, Manlan Liu, Manyu Shi, Yaxiong Liu
Mathematics
Dynamics and Control of Mechanical Systems
article

Conic Section Elements Based on the Rational Absolute Nodal Coordinate Formulation

Lan Peng, Manlan Liu, Manyu Shi, Yaxiong Liu
article en

Abstract

The construction of rational absolute nodal coordinate formulation (RANCF) elements is usually based on a linear transformation of non-uniform rational B-spline (NURBS) geometry. However, this linear transformation can lead to property transfer issues, which greatly reduce the modeling efficiency, especially for conic sections. To overcome this limitation, we first analyze the geometric constraints of conic sections and derive a unique defining equation in rational parametric form. A corresponding degree-elevation formula is also obtained. Using these results, we propose a direct definition method for RANCF elements that explicitly exploits the analytic properties of conic sections. The method provides fast and accurate expressions for the nodal coordinates and weights, and thus enables efficient modeling of RANCF elements for conic-section configurations. We also mitigate the arbitrariness in element definition by introducing, for the first time, the concept of a mapping factor K, which characterizes the mapping between the physical space and the parameter space. Based on this mapping factor, we establish a parameterization procedure for RANCF conic-section elements. An evaluation criterion for K is further proposed and used to define the optimal mapping factor Kopt, which yields an optimal parameterization and allows the construction of Kopt elements. Numerical examples demonstrate that, in large-deformation analyses of flexible systems, the proposed elements can achieve a given accuracy with fewer elements than conventional approaches.

MathematicsVol. 13(24)
Xi'an University of Architecture and Technology (CN), Green Chemistry (PL)
Key Laboratory of Green Building in West China
Openalex Percentile: Top 51%
Dynamics and Control of Mechanical Systems
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Conic Section Elements Based on the Rational Absolute Nodal Coordinate Formulation — Lan Peng, Manlan Liu, et al. · Mathematics (2025) | TGRS Research Map | TGRS