Uncertainty Quantification of Micro-contact Characteristics of Bolt Joint Surface

被引:0
|
作者
Li L. [1 ]
Lü G. [1 ]
Lin H. [1 ]
Wang J. [1 ]
Cai A. [1 ]
机构
[1] School of Mechanical and Electrical Engineering, Xi′an University of Architecture and Technology, Xi′an
关键词
bolt joint surface; contact characteristics; fractal theory; Monte-Carlo method; uncertainty;
D O I
10.16450/j.cnki.issn.1004-6801.2023.05.012
中图分类号
学科分类号
摘要
There are obvious uncertainties in the micro-contact characteristics of the bolt joint surface. Traditional models based on the deterministic theory are difficult to completely characterize the micro-contact characteristics of the joint surface. For this reason, a Monte Carlo method based on the uncertainty quantification method of the micro contact characteristics of the bolt joint surface is proposed. First, based on the fractal theory, the profile height of the asperity of the bonding surface with the same roughness is characterized, and the surface topography parameter range of the bonding surface is solved by the moment spectrum method. Then, using the central limit theorem, the surface topography parameter interval is changed to a Gaussian distribution function conforming to the profile height distribution of the asperity, which solves the reduction in confidence level caused by the accumulation of random sampling errors. Finally, the uncertainty of the surface topography parameters is embedded in the Monte-Carlo method, and the interval estimation of the contact characteristics of the bonding surface is obtained. Through comparative analysis, the influence of the contact gap on the contact characteristics is revealed when considering the uncertain factors. Studies have shown that the uncertainty of surface topography parameters has a significant impact on the change of the contact characteristics of the bolt joint surface, and causes the influence of uncertainty to accumulate. This method provides a theoretical basis and reference for accurately quantifying the uncertainty of the bolt joint surface. © 2023 Nanjing University of Aeronautics an Astronautics. All rights reserved.
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页码:923 / 929
页数:6
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