Rational-RC: A Python package for probabilistic life-cycle deterioration modelling of reinforced concrete structures

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

SoftwareX Pub Date : 2025-06-26 DOI:10.1016/j.softx.2025.102238

Gang Li , Jim Zacaruk , Moh Boulfiza

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引用次数: 0

Abstract

Maintaining the durability of reinforced concrete (RC) structures is crucial for sustainable infrastructure management. Rational-RC is a Python package that provides a probabilistic framework for modelling the life-cycle deterioration of RC structures. Designed with a modular, object-oriented architecture, it enables flexible integration of key deterioration processes, including membrane degradation, chloride ingress, carbonation, corrosion, and cracking within a unified limit-state reliability framework. Using site-specific field data, users can calibrate deterioration models to generate staged probabilities of failure, informing condition-based maintenance strategies that optimize costs and extend service life. The framework can be extended to interact with structural models, and scaled for simulation at both the element and network levels. Its visualization tools and extensible design make it a powerful tool for researchers and practitioners aiming to tackle the challenges of aging infrastructure with advanced computational approaches.

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Rational-RC：用于钢筋混凝土结构的概率寿命周期退化建模的Python包

保持钢筋混凝土（RC）结构的耐久性对于可持续基础设施管理至关重要。Rational-RC是一个Python包，它为RC结构的生命周期退化建模提供了一个概率框架。采用模块化、面向对象的架构设计，可在统一的极限状态可靠性框架内灵活集成关键劣化过程，包括膜降解、氯化物侵入、碳化、腐蚀和开裂。使用特定现场的现场数据，用户可以校准劣化模型，以生成分阶段的故障概率，为基于状态的维护策略提供信息，从而优化成本并延长使用寿命。该框架可以扩展以与结构模型交互，并在元素和网络级别上进行缩放以进行仿真。它的可视化工具和可扩展设计使其成为研究人员和实践者的强大工具，旨在通过先进的计算方法解决老化基础设施的挑战。

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.