1. 兰州理工大学机电工程学院
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王智明, 郑雷, 张露熹, 等. 基于混沌多项式展开的机械结构可靠性分析[J]. 机械强度, 2022,44(4):852-858.
WANG ZhiMing, ZHENG Lei, ZHANG LuXi, et al. MECHANICAL STRUCTURAL RELIABILITY ANALYSIS BASED ON POLYNOMIAL CHAOS EXPANSIONS[J]. 2022,44(4):852-858.
王智明, 郑雷, 张露熹, 等. 基于混沌多项式展开的机械结构可靠性分析[J]. 机械强度, 2022,44(4):852-858. DOI: 10.16579/j.issn.1001.9669.2022.04.014.
WANG ZhiMing, ZHENG Lei, ZHANG LuXi, et al. MECHANICAL STRUCTURAL RELIABILITY ANALYSIS BASED ON POLYNOMIAL CHAOS EXPANSIONS[J]. 2022,44(4):852-858. DOI: 10.16579/j.issn.1001.9669.2022.04.014.
在对机械结构进行分析和评价时,可靠性是一项重要的指标。针对复杂的机械结构失效形式种类繁多和可靠性评估效率不高的问题,通过结合蒙特卡洛随机抽样和混沌多项式展开方法,将基于混沌多项式展开的可靠性分析方法应用到机械结构可靠性分析当中。另外,考虑到极限状态方程中各参数与各种失效模式之间的相关性,给出一种具有失效相关性的机械结构可靠性评估方法。最后,以蜗轮蜗杆-齿轮二级减速器为例,分析了其失效形式,并根据其各种失效的极限状态方程,对所提方法进行有效性验证。计算结果表明,基于PCE的可靠性评估方法在机械结构可靠性分析中具有高效性和准确性。同时,由于避免了复杂的变换计算问题,其在考虑失效相关性时也更为简洁。
Reliability is one of important index in the analysis and evaluation of mechanical structure. Aiming at the problems of various failure modes and low efficiency of reliability evaluation for complex mechanical structures, the reliability analysis method based on polynomial chaos expansions is applied to the reliability analysis of mechanical structures by combining Monte Carlo random sampling and polynomial chaos expansions. In addition, considering the correlation of parameters and various failure modes in the limit state function, the reliability evaluation method of mechanical structure considering failure correlation is given. Finally, a worm gear two-stage reducer is taken as an example to verify the proposed method according to analyzes the various limit state function of different failure form. The computational results show that the reliability evaluation method based on polynomial chaos expansions is efficient and accurate in mechanical structure reliability analysis. And when failure correlation is considered, it is also simple because of avoiding the complex transformation calculation problem.
结构可靠性混沌多项式展开失效相关二级减速器蒙特卡洛仿真
Structural reliabilityPolynomial chaos expansionsFailure correlationTwo-stage reducerMonte Carlo simulation
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