CFre：用于蠕变疲劳可靠性评估的 ABAQUS 插件（考虑多种不确定性源

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

SoftwareX Pub Date : 2024-10-31 DOI:10.1016/j.softx.2024.101958

Yuan-Ze Tang , Xian-Cheng Zhang , Hang-Hang Gu , Chang-Qi Hong , Shan-Tung Tu , Run-Zi Wang

{"title":"CFre：用于蠕变疲劳可靠性评估的 ABAQUS 插件（考虑多种不确定性源","authors":"Yuan-Ze Tang , Xian-Cheng Zhang , Hang-Hang Gu , Chang-Qi Hong , Shan-Tung Tu , Run-Zi Wang","doi":"10.1016/j.softx.2024.101958","DOIUrl":null,"url":null,"abstract":"<div><div>Probabilistic reliability assessment is an important part of life management for critical equipment, but it can be costly due to the need for extensive data. To further implement reliability assessment in engineering, it is essential to reduce both economic costs and the learning curve for engineers. This paper presents a surrogate model-based probabilistic reliability assessment plug-in for ABAQUS that does not depend on any third-party software. The plug-in can automatically perform stochastic finite element method considering multiple uncertainty sources including material, geometry, and load. By using the data obtained from FEM, the plug-in trains the surrogate model and completes the reliability assessment and visualization. This paper illustrates the theoretical basis, design concepts, and functionalities of the plug-in, along with an example demonstrating its effectiveness and efficiency. The free plug-in serves as a valuable tool for engineers, facilitating easy and efficient reliability assessments.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101958"},"PeriodicalIF":2.4000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CFre: An ABAQUS plug-in for creep-fatigue reliability assessment considering multiple uncertainty sources\",\"authors\":\"Yuan-Ze Tang , Xian-Cheng Zhang , Hang-Hang Gu , Chang-Qi Hong , Shan-Tung Tu , Run-Zi Wang\",\"doi\":\"10.1016/j.softx.2024.101958\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Probabilistic reliability assessment is an important part of life management for critical equipment, but it can be costly due to the need for extensive data. To further implement reliability assessment in engineering, it is essential to reduce both economic costs and the learning curve for engineers. This paper presents a surrogate model-based probabilistic reliability assessment plug-in for ABAQUS that does not depend on any third-party software. The plug-in can automatically perform stochastic finite element method considering multiple uncertainty sources including material, geometry, and load. By using the data obtained from FEM, the plug-in trains the surrogate model and completes the reliability assessment and visualization. This paper illustrates the theoretical basis, design concepts, and functionalities of the plug-in, along with an example demonstrating its effectiveness and efficiency. The free plug-in serves as a valuable tool for engineers, facilitating easy and efficient reliability assessments.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"28 \",\"pages\":\"Article 101958\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024003285\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003285","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}

引用次数: 0

摘要

概率可靠性评估是关键设备寿命管理的重要组成部分，但由于需要大量数据，其成本可能很高。为了在工程中进一步实施可靠性评估，必须降低经济成本和工程师的学习曲线。本文介绍了 ABAQUS 的一个基于代理模型的概率可靠性评估插件，它不依赖于任何第三方软件。该插件可自动执行随机有限元法，并考虑材料、几何形状和载荷等多种不确定性来源。通过使用有限元法获得的数据，该插件可训练代用模型并完成可靠性评估和可视化。本文阐述了该插件的理论基础、设计理念和功能，并通过一个实例展示了其有效性和效率。该免费插件可作为工程师的重要工具，帮助他们轻松高效地进行可靠性评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

CFre: An ABAQUS plug-in for creep-fatigue reliability assessment considering multiple uncertainty sources

Probabilistic reliability assessment is an important part of life management for critical equipment, but it can be costly due to the need for extensive data. To further implement reliability assessment in engineering, it is essential to reduce both economic costs and the learning curve for engineers. This paper presents a surrogate model-based probabilistic reliability assessment plug-in for ABAQUS that does not depend on any third-party software. The plug-in can automatically perform stochastic finite element method considering multiple uncertainty sources including material, geometry, and load. By using the data obtained from FEM, the plug-in trains the surrogate model and completes the reliability assessment and visualization. This paper illustrates the theoretical basis, design concepts, and functionalities of the plug-in, along with an example demonstrating its effectiveness and efficiency. The free plug-in serves as a valuable tool for engineers, facilitating easy and efficient reliability assessments.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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.