The determination of singular stresses in a circular ring using fast Fourier transform techniques

IF 2.2 3区 工程技术 Q2 MECHANICS
Xiaoqing Jin, Kai Zhu, Xiangning Zhang
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引用次数: 0

Abstract

Determining the stress state in a circular ring has been a classical topic in the stress analysis literature. Based on the principle of superposition, the results may be obtained by adding known solutions to an associated ring problem, where the boundary stresses on the inner and outer walls of the ring are represented in Fourier series. In this work, the coefficients of the Fourier series are generated through an algorithm based on the fast Fourier transform (FFT). In the case of concentrated loading, the required additional fundamental solutions are derived in closed-form. The presented numerical method allows for accurate and efficient computations of the stress distributions in a circular ring in static equilibrium under arbitrary in-plane loading; and generally, the FFT-based algorithm provides a convenient and versatile tool for handing some two-dimensional problems involving circular boundaries.

Abstract Image

利用快速傅立叶变换技术测定圆环中的奇异应力
确定圆环的应力状态一直是应力分析文献中的经典课题。根据叠加原理,可以通过将已知解添加到相关的环形问题中来获得结果,其中环形内外壁上的边界应力用傅里叶级数表示。在这项工作中,傅里叶级数的系数是通过基于快速傅里叶变换(FFT)的算法生成的。在集中加载的情况下,所需的附加基本解以闭合形式得出。所提出的数值方法可以准确、高效地计算任意平面载荷作用下处于静态平衡状态的圆环中的应力分布;一般而言,基于 FFT 的算法为处理一些涉及圆环边界的二维问题提供了方便、通用的工具。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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