| Influences of Randomly Distributed Wall THickness of Beverage Can on Its Strength and Stiffness |
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| 引用本文： | 许京荆,王志陵,吴益敏. Influences of Randomly Distributed Wall THickness of Beverage Can on Its Strength and Stiffness[J]. 上海大学学报(英文版), 2001, 5(3): 187-190. DOI: 10.1007/s11741-996-0022-9 |
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| 作者姓名： | 许京荆 王志陵 吴益敏 |
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| 作者单位： | SchoolofElectromechanicalEngineeringandAutomation,ShanghaiUniversity,Shanghai200072,China |
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| 摘 要： | This paper describes the research undertaken on the strength and stiffness of fluctuation on the wall thickness of steel beverage cans using the Monte-Carlo stochastic finite element method.Sample distributions were firestly assumed and then proven using the data observations of the wall thickness.the APDL language was then applied,and the stresses and displacements of the can were calculated by using the ANSYS software.It is concluded that the structureal reliability of a steel-making beverage can be estimated accurately.
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| 关 键 词： | 饮料罐 皮厚度随机分布 强度 刚性 |
| 收稿时间： | 2000-07-03 |
Influences of randomly distributed wall thickness of beverage can on its strength and stiffness |
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| Jing-jing Xu Ph. D. Candidate,Zhi-ling Wang,Yi-min Wu. Influences of randomly distributed wall thickness of beverage can on its strength and stiffness[J]. Journal of Shanghai University(English Edition), 2001, 5(3): 187-190. DOI: 10.1007/s11741-996-0022-9 |
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| Authors: | Jing-jing Xu Ph. D. Candidate Zhi-ling Wang Yi-min Wu |
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| Affiliation: | School of Electromechanical Engineering and Automation, Shanghai University, |
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| Abstract: | This paper describes the research undertaken on the strength and stiffness of fluctuation on the wall thickness of steel beverage cans using the Monte Carlo stochastic finite element method. Sample distributions were firstly assumed and then proven using the data observations of the wall thickness, the APDL language was then applied, and the stresses and displacements of the can were calculated by using the ANSYS software. It is concluded that the structural reliability of a steel making beverage can be estimated accurately. |
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| Keywords: | steel making beverage can Monte Carlo method stochastic finite element method ANSYS software strength stiffness |
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