CFre: An ABAQUS plug-in for creep-fatigue reliability assessment considering multiple uncertainty sources
Yuan-Ze Tang,
Xian-Cheng Zhang,
Hang-Hang Gu,
Chang-Qi Hong,
Shan-Tung Tu,
Run-Zi Wang
Affiliations
Yuan-Ze Tang
Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China
Xian-Cheng Zhang
Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China; Corresponding author at: Key Laboratory of Pressure Systems and Safety, Ministry of Education, School of Mechanical and Power Engineering, East China University of Science and Technology, Meilong Road 130, Xuhui District, Shanghai, 200237, PR China.
Hang-Hang Gu
Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China
Chang-Qi Hong
Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China
Shan-Tung Tu
Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China
Run-Zi Wang
Core Research Cluster for Materials Science (CRCMS), Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 9808577, Japan; Department of Materials Processing, Graduate School of Engineering, Tohoku University, Sendai, 9808579, Japan; Corresponding author at: Core Research Cluster for Materials Science (CRCMS), Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, 9808577, Japan.
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.
