RockDisc-Gen: A python software package for rock discontinuity generation

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

SoftwareX Pub Date : 2025-09-18 DOI:10.1016/j.softx.2025.102369

Yujie Su , Hong Gao , Han Meng , Jinming Wang , Gang Mei

引用次数: 0

Abstract

Rock discontinuity generation possesses considerable application value in geotechnical engineering. However, current tools exhibit constraints regarding functionality, usability, and adaptability. Here, we developed a Python software package, RockDisc-Gen, for ease-of-use rock discontinuities generation and visualization. RockDisc-Gen incorporates four methods (i.e., the Monte Carlo method, Copula-based method, generative adversarial networks (GANs), and denoising diffusion probability model (DDPM)), for generating synthetic datasets that accurately reflect rock discontinuity orientations and sizes, derived from limited field observation data. The software package can also assess the statistical properties of generated data against the original input data, thus systematically evaluating the generation performance.

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RockDisc-Gen：用于生成岩石不连续面的python软件包

岩体结构面生成在岩土工程中具有重要的应用价值。然而，当前的工具在功能、可用性和适应性方面存在限制。在这里，我们开发了一个Python软件包RockDisc-Gen，用于易于使用的岩石不连续面生成和可视化。RockDisc-Gen集成了四种方法（即蒙特卡罗方法、基于copula的方法、生成对抗网络（gan）和去噪扩散概率模型（DDPM）），用于生成准确反映岩石不连续面方向和大小的合成数据集，这些数据来自有限的现场观测数据。该软件包还可以根据原始输入数据评估生成数据的统计特性，从而系统地评估生成性能。

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

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.