王小明, 姜春萌. 开圆孔波纹夹层板单向拉伸状态的应力极值优化求解[J]. 中国舰船研究, 2024, 19(X): 1–8. DOI: 10.19693/j.issn.1673-3185.03369
引用本文: 王小明, 姜春萌. 开圆孔波纹夹层板单向拉伸状态的应力极值优化求解[J]. 中国舰船研究, 2024, 19(X): 1–8. DOI: 10.19693/j.issn.1673-3185.03369
WANG X M, JIANG C M. Stress extreme value optimization solution for circular holed corrugated core sandwich panels under uniaxial tension[J]. Chinese Journal of Ship Research, 2024, 19(X): 1–8 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03369
Citation: WANG X M, JIANG C M. Stress extreme value optimization solution for circular holed corrugated core sandwich panels under uniaxial tension[J]. Chinese Journal of Ship Research, 2024, 19(X): 1–8 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03369

开圆孔波纹夹层板单向拉伸状态的应力极值优化求解

Stress extreme value optimization solution for circular holed corrugated core sandwich panels under uniaxial tension

  • 摘要:
    目的 旨在研究开圆孔无限波纹夹层板单向拉伸状态的应力分布,寻求最不利开孔位置。
    方法 采用ANSYS软件子模型方法计算不同开孔位置的应力分布,并用ANSYS软件提供的零阶优化设计方法寻求最大应力集中系数时的开孔位置。
    结果 开孔附近的应力分布与网格划分密切相关,最大应力总是出现在芯层板上。开圆孔无限波纹夹层板单向拉伸状态的应力集中系数普遍大于3,最大可达4.104。
    结论 先整体模型再子模型的应力极值优化分析过程可以节省计算时间,又可达到较高的计算精度,提高优化效率。

     

    Abstract:
    Objective In order to study the stress distribution of circular holed infinite corrugated core sandwich panels under uniaxial tension and seek the most unfavorable opening position,
    Method both submodel analysis method and subproblem optimization method were employed just for calculation stress distribution of different holing positions and seeking the holing position where the hole edge stress concentration factor reached the maximum, respectively.
    Result The stress distribution near the opening is closely related to the mesh division, and the maximum stress always occurs on the core layer board. The stress concentration factor of an infinitely corrugated sandwich panel with a circular opening under uniaxial tension is generally greater than 3, with a maximum of 4.104.
    Conclusion The stress extremum optimization analysis process of the overall model before the sub models can save computation time, achieve high computational accuracy, and improve optimization efficiency.

     

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