Yuan-Ze Tang , Xian-Cheng Zhang , Hang-Hang Gu , Chang-Qi Hong , Shan-Tung Tu , Run-Zi Wang
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引用次数: 0
Abstract
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.
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.