二维光纤网络生成的改进算法

IF 4.8 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Design and Engineering Pub Date : 2023-07-11 DOI:10.1093/jcde/qwad074

Yagiz Kayali, A. Gleadall, V. Silberschmidt, E. Demirci

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引用次数: 0

摘要

光纤网络在自然界有着丰富的资源，在工业上有着广泛的应用。然而，由于其复杂的微观结构，其几何建模具有挑战性。在这项研究中，开发了一种新的方法，称为纤维放置法(FPM)。与现有方法相比，FPM具有结构全参数化定义等优点。与其他方案相比，该方法在模拟纤维网络的随机微观结构方面具有优势。通过采用用户友好的图形用户界面(GUI)，可以很容易地生成各种纤维网络。此外，生成的纤维网络与计算机辅助工程(CAE)工具等分析软件兼容。最后，该算法描述了网络的各种特征，包括均匀性、空洞面积分数和平均卷曲度。

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Advance algorithm for two-dimensional fibrous-network generation

Fibrous networks are abundant in nature and commonly used in industry. However, their geometrical modelling is challenging due to their complex microstructure. In this study, a novel method, called Fibre Placement Method (FPM), is developed. In contrast to the existing methods, the FPM has various advantages, such as a fully parametric definition of structure. Also, this method is superior in mimicking the stochastic microstructure of fibrous networks compared to other schemes. Various fibrous networks can be generated easily by employing a user-friendly graphical user interface (GUI). Also, the generated fibrous networks are compatible with analysis software such as computer-aided engineering (CAE) tools. Finally, this algorithm characterises various features of networks including uniformity, void area fraction, and average curliness.

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来源期刊

Journal of Computational Design and Engineering Computer Science-Human-Computer Interaction

CiteScore

7.70

自引率

20.40%

发文量

125

期刊介绍： Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering: • Theory and its progress in computational advancement for design and engineering • Development of computational framework to support large scale design and engineering • Interaction issues among human, designed artifacts, and systems • Knowledge-intensive technologies for intelligent and sustainable systems • Emerging technology and convergence of technology fields presented with convincing design examples • Educational issues for academia, practitioners, and future generation • Proposal on new research directions as well as survey and retrospectives on mature field.