Discretization Corrected Particle Strength Exchange for Steady State Linear Elasticity

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY Journal of Engineering and Technological Sciences Pub Date : 2022-07-18 DOI:10.5614/j.eng.technol.sci.2022.54.4.3
C. Adnel, L. Zuhal
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Abstract

Discretization corrected particle strength exchange (DC PSE) is a particle based spatial differential operator designed to solve meshless continuum mechanics problems. DC PSE is a spatial gradient operator that can discretize a computational domain with randomly distributed particles, provided that each particle has enough neighboring particles. In contrast, conventional methods such as the standard finite difference method require the computational domain to be discretized into a Cartesian grid. In linear elasticity simulations, especially steady state cases, this domain is mostly discretized using mesh-based methods such as finite element. However, while particle methods such as smoothed particle hydrodynamics (SPH) have been widely applied to solve dynamic elasticity problems, they have rarely been used in steady state simulations. In this study, a DC PSE operator was used to solve steady linear elasticity problems in a two-dimensional domain. The result of the DC PSE numerical simulation was compared to numerical results, empirical formula results, and results from conventional commercial finite element software, respectively.
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稳态线性弹性的离散化修正粒子强度交换
离散化修正粒子强度交换算子是一种基于粒子的空间微分算子,用于求解无网格连续介质力学问题。DC - PSE是一种空间梯度算子,只要每个粒子有足够的邻近粒子,它就可以离散具有随机分布粒子的计算域。相比之下,传统的方法,如标准有限差分法,需要将计算域离散到笛卡尔网格中。在线性弹性模拟中,特别是稳态情况下,该区域大多使用基于网格的方法(如有限元)进行离散化。然而,尽管光滑粒子流体动力学(SPH)等粒子方法已被广泛应用于求解动态弹性问题,但它们很少用于稳态模拟。在本研究中,采用直流PSE算子求解二维域上的稳态线性弹性问题。将dcpse数值模拟结果分别与数值结果、经验公式结果和常规商用有限元软件结果进行对比。
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来源期刊
Journal of Engineering and Technological Sciences
Journal of Engineering and Technological Sciences ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.30
自引率
11.10%
发文量
77
审稿时长
24 weeks
期刊介绍: Journal of Engineering and Technological Sciences welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental Engineering, Industrial Engineering, Information Engineering, Mechanical Engineering, Material Science and Engineering, Manufacturing Processes, Microelectronics, Mining Engineering, Petroleum Engineering, and other application of physical, biological, chemical and mathematical sciences in engineering. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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