The riveting process involves numerous parameters and complex problems, such as contact phenomena and material nonlinearity; therefore, it is challenging to accurately control the deformation of riveted parts by adjusting the riveting parameters. Therefore, this paper proposes a global sensitivity analysis method to determine the effects of riveting parameters on the maximum deformation of aeronautical thin-wall structures (ATWS). Considering the correlation among variables, the riveting parameters are used as input variables and the maximum deformations of ATWS are used as the output response to establish a high-precision second-order random sampling-high dimensional model representation response function. The structure and correlative sensitivity analysis method is then used to analyze the response function, and an importance ranking of the input variables is obtained to provide guidance for designs that reduce the riveting deformation of thin-walled plates.
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The authors gratefully appreciate the support of the Natural Science Foundation of Shaanxi Province (2019JM-377), Postgraduate Tutor Guidance Ability Improvement Plan in 2019 at Northwestern Polytechnical University (2019), and Xi’an Science and Technology Innovation Platform Construction Project/Key Laboratory Construction Project (2019220614SYS021CG043).
The authors declare that there is no conflict of interest.
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Yin, J., Gu, J., Chen, Y. et al. Global sensitivity analysis of riveting parameters based on a random sampling-high dimensional model representation. Int J Adv Manuf Technol 113, 465–472 (2021). https://doi.org/10.1007/s00170-021-06593-7
- Global sensitivity analysis
- Aeronautical thin-wall structures
- Random sampling-high dimensional model