用于生成通用多球粒子的代码库 CLUMP 的 Python 实现

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-23 DOI:10.1016/j.softx.2024.101957

Ahmet Utku Canbolat , Sadegh Nadimi , Vasileios Angelidakis

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引用次数: 0

摘要

多球体被广泛用于离散元素法中的非球形粒子建模。在过去的三年中，CLUMP 代码通过在一个软件包中实施不同的粒子生成方法，为定量比较不同的多球粒子生成方法提供了手段。本文报告了该软件的演变情况，其基础是以下最新进展：(1) CLUMP 的 Python 实现，与原始 MATLAB 代码一起维护；(2) 将原始 CLUMP 论文中提出的欧几里得变换方法扩展到粘合和可压缩粒子。新的 Python 实现和功能开发提高了该软件对更广泛用户群的可访问性，并使其适用于更多样化的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A Python implementation of CLUMP, the Code Library to generate Universal Multi-sphere Particles

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A Python implementation of CLUMP, the Code Library to generate Universal Multi-sphere Particles

Multi-spheres are widely employed to model non-spherical particles in the Discrete Element Method. For the past three years, the CLUMP code has provided the means to compare different multi-sphere particle generation methods in a quantitative manner, via the implementation of different particle generation methods within a single software package. This paper reports on the evolution of the software, underpinned by the following recent developments: (1) a Python implementation of CLUMP, which is maintained alongside the original MATLAB code, and (2) the extension of the Euclidean transform method proposed in the original CLUMP paper to bonded and crushable particles. The new Python implementation and feature development enhance the accessibility of the software to a wider user base and generalize its applicability to a more diverse set of problems.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.