FAN XuMing, LI CeCe, WANG YingJian, et al. TIME-DEPENDENT RELIABILITY ANALYSIS OF FANS IMPELLER STRUCTURE BASED ON THE PROBABILITY DENSITY EVOLUTION THEORY (MT). [J]. Journal of Mechanical Strength (2):366-372(2023)
DOI:
FAN XuMing, LI CeCe, WANG YingJian, et al. TIME-DEPENDENT RELIABILITY ANALYSIS OF FANS IMPELLER STRUCTURE BASED ON THE PROBABILITY DENSITY EVOLUTION THEORY (MT). [J]. Journal of Mechanical Strength (2):366-372(2023) DOI: 10.16579/j.issn.1001.9669.2023.02.015.
TIME-DEPENDENT RELIABILITY ANALYSIS OF FANS IMPELLER STRUCTURE BASED ON THE PROBABILITY DENSITY EVOLUTION THEORY (MT)
为实现贯流式风机叶轮结构时变可靠性的快速准确评估,利用概率密度演化理论(Probability Density Evolution Theory, PDEM),考虑了叶轮结构和运行环境的随机性,并结合有限元分析模型,建立了叶轮结构极值应力的概率密度函数分析方法,给出了服役期内叶轮结构在不同运行时间的失效概率和时变可靠度。对Abaqus有限元分析软件进行了二次开发,通过Matlab和Abaqus的联合模拟,实现了模型建立、应力分析、结果提取和概率密度演化的全流程批量仿真分析。通过与代理模型法和蒙特卡洛模拟法的对比,从计算效率和结果精度两方面验证了概率密度演化理论的准确性和高效性。
Abstract
To efficiently evaluate the dynamic reliability of the impeller structure in cross-flow fans, its probability density function of maximal stress is established using the probability density evolution theory(PDEM). The stochastics in structure and surroundings are considered and the finite element analysis model is used. On the basis, the structural failure probability and time-dependent reliability at different operation times are given. The Abaqus finite element analysis software is developed again. Through the joint simulation of Matlab and Abaqus, the whole process batch simulation analysis of model building, stress analysis, result extraction and probability density evolution is realized. By comparing with the agent model method and the Monte-Carlo model from the perspectives of calculation efficiency and accuracy, the practicability of PDEM in evaluating the dynamic reliability of impeller structure is further validated.
关键词
概率密度演化理论时变可靠度叶轮贯流式风机代理模型
Keywords
PDEMTime-dependent reliabilityImpellerCross-flow fanAgent model