A finite element based homogenization code in python: HomPy

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2024-05-25 DOI:10.1016/j.advengsoft.2024.103674

Emin Emre Ozdilek , Egecan Ozcakar , Nitel Muhtaroglu , Ugur Simsek , Orhan Gulcan , Gullu Kiziltas Sendur

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Abstract

The ability to predict the effective material property of composites with periodic micro-structures based on homogenization theory has been an effective method to analyze structures with complex heterogeneities. Homogenization codes have been made available for educational purposes including the homogenization code for the prediction of effective elasticity and thermal material properties in MATLAB. The aim of this educational paper is to present a Python version of the existing homogenization code and provide detailed diagrams of its key modules extending its ability to conduct analysis and design studies possibly via integration into commercial FEM software. Python has become a popular programming language due to its wide applicability to several disciplines, its portability, its flexibility by means of programming paradigms, its open-source nature, its well-documented libraries, and its easy-to-learn syntax. To increase the applicability and community reach of the homogenization algorithm presented, we provide a Python translation of the well-known MATLAB implementation. By doing so, we aim to increase the integration potential and adaptability of the homogenization approach to other computing packages and target adoption by a wider audience by leveraging the advantages of basing the solution on a free and open-source platform.

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基于有限元的 python 均质化代码：HomPy

根据均质化理论预测具有周期性微结构的复合材料的有效材料特性，是分析具有复杂异质性结构的有效方法。均质化代码已可用于教学目的，包括在 MATLAB 中预测有效弹性和热材料特性的均质化代码。本教育论文的目的是介绍现有均质化代码的 Python 版本，并提供其关键模块的详细图示，通过与商业有限元软件的集成，扩展其进行分析和设计研究的能力。Python 因其在多个学科的广泛适用性、可移植性、编程范式的灵活性、开源性、文档齐全的库以及易于学习的语法而成为一种流行的编程语言。为了提高所介绍的均质化算法的适用性和社区影响力，我们对著名的 MATLAB 实现进行了 Python 翻译。通过这样做，我们旨在提高同质化方法的集成潜力和对其他计算软件包的适应性，并利用基于免费开源平台的解决方案的优势，让更多人采用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.