强场集中三维问题中边缘和中间边界元影响系数的评价

IF 1.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY
L. Rybarska-Rusinek
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引用次数: 1

摘要

本文提出了一种在边界元法求解的三维问题中,精确评估裂纹、缺口和颗粒交叉处等奇异线附近高场浓度的工具。考虑了两种计算奇点的边界元素:(i)与奇异线相邻的边缘元素和(ii)中间元素,它们虽然不与直线相邻,但仍受奇点的强烈影响。提出了一种有效的方法来计算这两种元素的影响系数和场强因子。该方法通过简化为一维积分,避免了在单元表面上进行奇异积分和超奇异积分的费时数值计算。该方法是一般的,通过考虑具有裂缝、夹杂和孔隙的分段均匀介质的弹性问题的代表性实例来解释其细节。平面元的数值算例说明了本文的阐述。该方法可推广到曲线单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On evaluation of influence coefficients for edge and intermediate boundary elements in 3D problems involving strong field concentrations
The paper presents a tool for accurate evaluation of high field concentrations near singular lines, such as contours of cracks, notches and grains intersections, in 3D problems solved the BEM. Two types of boundary elements, accounting for singularities, are considered: (i) edge elements, which adjoin a singular line, and (ii) intermediate elements, which while not adjoining the line, are still under strong influence of the singularity. An efficient method to evaluate the influence coefficients and the field intensity factors is suggested for the both types of the elements. The method avoids time expensive numerical evaluation of singular and hypersingular integrals over the element surface by reduction to 1D integrals. The method being general, its details are explained by considering a representative examples for elasticity problems for a piecewise homogeneous medium with cracks, inclusions and pores. Numerical examples for plane elements illustrate the exposition. The method can be extended for curvilinear elements.
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来源期刊
CiteScore
2.80
自引率
16.70%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Bulletin of the Polish Academy of Sciences: Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.
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