首页> 外文期刊>Proceedings of the Institute of Marine Engineering, Science and Technology >Strength and stability studies of ring-stiffened circular cylindrical shells using self-organising maps (SOM) and data mining analysis
【24h】

Strength and stability studies of ring-stiffened circular cylindrical shells using self-organising maps (SOM) and data mining analysis

机译:使用自组织映射(SOM)和数据挖掘分析研究环形加筋圆柱壳的强度和稳定性

获取原文
获取原文并翻译 | 示例
       

摘要

Ring-stiffened circular cylindrical shells are commonly used in many engineering applications. In the present study, the strength and stability characteristics of ring-stiffened circular cylindrical shells are investigated using self-organising map (SOM) technique and multivariate approaches. Stress and critical pressure analysis of ring-stiffened circular cylindrical shells under hydrostatic pressure are obtained from the design guide. Design of experiment (DOE) technique is employed for generating design samples. The information behind these design samples can be studied by the self-organising map (SOM) approach. Multivariate analysis is adopted for post- processing of SOM's results. The clustering of samples can be obtained from the codebook of SOM with the help of multivariate analysis. The samples in different clusters would have their own characteristics. The variable significance in each cluster is examined. The dimensionality reduction approach is used for finding the structure of the data set. A useful visualisation approach, parallel coordinate plot with clustering information, is proposed for visualisation of design samples. Correlations and clustering of variables are also studied by the hierarchical method. The ranking of samples is conducted by minimising the distance to an 'ideal' solution in the data set. A final compromises sample is obtained. A numerical example is provided for the illustration of the present analysis.
机译:环形加劲圆柱壳通常在许多工程应用中使用。在本研究中,使用自组织映射(SOM)技术和多元方法研究了加筋的圆柱壳的强度和稳定性。从设计指南中获得了在静水压力下的环形加筋圆柱壳的应力和临界压力分析。实验设计(DOE)技术用于生成设计样本。这些设计示例背后的信息可以通过自组织图(SOM)方法进行研究。 SOM结果的后处理采用多变量分析。样本的聚类可以在多变量分析的帮助下从SOM的代码本中获得。不同聚类中的样本将具有自己的特征。检查每个聚类中的变量重要性。降维方法用于查找数据集的结构。提出了一种有用的可视化方法,即具有聚类信息的平行坐标图,用于可视化设计样本。变量的相关性和聚类也通过分层方法进行研究。通过最小化数据集中与“理想”解的距离来进行样本排名。获得最终的折衷样本。提供了一个数值示例来说明本分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号