Ahmet Utku Canbolat , Sadegh Nadimi , Vasileios Angelidakis
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引用次数: 0
Abstract
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.
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.
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