用分段拟线法分析棒材的变形

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-10-27 DOI:10.1002/nme.7608
Sreejath Sivaj, Subir Kumar Saha, Satinder Paul Singh
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引用次数: 0

摘要

本文提出了平面弯曲细长梁静力分析的一种替代等几何分析方法。采用几何精确的coserat杆模型建立控制方程。与传统IGA采用NURBS作为基函数相比,该方法采用仿线曲线来表示曲面几何。我们使用分段曲面曲线来近似未变形梁的初始曲率,从而促进与Cosserat杆模型的无缝集成。利用射击法实现了控制方程的直接求解,验证了该方法在一系列问题中的适用性。有趣的是,定义线段的参数也出现在光束的控制方程中。这弥补了梁的几何设计和它们的静态模拟之间的差距。通过这种方式,我们提出了提议的配方作为传统IGA的替代方案。该方法具有易于实现、精度好、收敛性好等特点。此外,该方法预测了梁的弯曲应力,捕捉了变形的非线性。
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Deformation Analysis of Cosserat Rods Using Piecewise Clothoid Approximation

This paper presents an alternative to isogeometric analysis (IGA) for static analysis of planar curved slender beams. Geometrically exact Cosserat rod model is employed to establish the governing equations. In contrast to conventional IGA, which uses NURBS as the basis function, our method incorporates clothoid curves to represent the curved geometry. We use piecewise clothoid curves to approximate the initial curvature of the undeformed beam, facilitating a seamless integration into the Cosserat rod model. A straightforward solution of the governing equations is implemented using shooting method, verifying applicability across a range of problems. Interestingly, the parameters that define the clothoid segments also appear in the governing equations of the beam. This bridges the gap between the geometric design of the beams and their static simulations. In this way, we present the proposed formulation as an alternative to conventional IGA. The notable features of the method are easy implementation, good accuracy, and convergence. Moreover, the method predicts bending stress in the beam, capturing the nonlinearity of the deformation.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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