Mesh‐free Monte Carlo method for electrostatic problems with floating potentials

Author:

Yin Wenjing1ORCID,Wang Yunqing1ORCID,Deng Hong1ORCID,Wang Jiawei1ORCID,Gao Xiaoke1ORCID,Huang Ruoyu1ORCID,He Kun2ORCID,Chen Weijiang2ORCID,Dong Tianyu1ORCID

Affiliation:

1. School of Electrical Engineering Xi'an Jiaotong University Xi'an Shaanxi China

2. Tibet Yangbajing High Altitude Electrical Safety and Electromagnetic Environment National Observation and Research Station China Electric Power Research Institute Beijing China

Abstract

AbstractNumerical simulation plays a crucial role in the analysis and design of power equipment, such as lightning protection devices, which may become inefficient using traditional grid‐based methods when handling complex geometries of large problems. The authors propose a grid‐free Monte Carlo method to handle electrostatic problems of complex geometry for both the interior and exterior domains, which is governed by the Poisson equation with a floating potential boundary condition that is neither a pure Dirichlet nor a Neumann condition. The potential and gradient at any given point can be expressed in terms of integral equations, which can be estimated recursively within the walk‐on‐sphere algorithm. Numerical examples have been demonstrated, including the evaluation of the mutual capacitance matrix of multi‐conductor structures and lighting striking near real fractal trees. The proposed method shows advantages in terms of geometric flexibility and robustness, output sensitivity, and parallelism, which may become a candidate for game‐changing numerical methods and exhibit great potential applications in high‐voltage engineering.

Funder

State Grid Corporation of China

Publisher

Institution of Engineering and Technology (IET)

Reference34 articles.

1. Implementation of meshless FEM for engineering applications;Seidl A.;Proc. World Acad. Sci. Eng. Technol.,2007

2. Direct discretizations with applications to meshless methods for PDEs;Schaback R.;Dolomites Res. Notes Approx.,2013

3. An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

4. Weak adversarial networks for high-dimensional partial differential equations

5. Deep neural networks based temporal-difference methods for high-dimensional parabolic partial differential equations

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3