计算机与现代化

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基于Kriging模型的铁路棚架结构失效预测

  

  1. (中铁第四勘察设计院集团有限公司,湖北武汉430063)
  • 收稿日期:2019-07-03 出版日期:2019-12-11 发布日期:2019-12-11
  • 作者简介:秦鹏霄(1989-),男,湖北黄陂人,工程师,硕士,研究方向:电气化铁路电磁兼容,E-mail: qinpengxiao1@126.com。
  • 基金资助:
    国家自然科学基金青年科学基金资助项目(61703385)

Failure Prediction of Railway Scaffolding Structure Based on Kriging Model

  1. (China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China)
  • Received:2019-07-03 Online:2019-12-11 Published:2019-12-11

摘要: 为研究铁路棚架结构在受到断裂导线的冲击作用下是否失效,提出基于Kriging模型的铁路棚架结构失效预测方法。首先建立棚架结构的有限元模型,用于仿真计算棚架在极限载荷下的应力;然后,提出采用Kriging模型对棚架结构在极限载荷下的破坏区域进行预测;最后,利用K折叠交叉验证方法对所建立的Kriging模型的精度进行验证,并与径向基函数(Radial Basis Function, RBF)模型预测精度进行对比。结果表明,所提出的基于Kriging模型的铁路棚架结构失效预测方法具有更高的预测精度,可应用于指导铁路棚架的结构设计。

关键词: 铁路棚架结构, Kriging模型, 计算机仿真, 失效预测, 交叉验证

Abstract: In order to study whether the railway scaffolding structure fails under the impact of the broken conductor, this paper proposes a Kriging model-based railway scaffolding structure failure prediction method. Firstly, the finite element model of the scaffolding structure is established to simulate the stress of the scaffold under the ultimate load. Then, the Kriging model is used to predict the damage area of the scaffolding structure under the ultimate load. Finally, the K-folding cross is used. The verification method verifies the accuracy of the established Kriging model and compares it with the radial basis function (RBF) model prediction accuracy. The results show that the proposed Kriging model-based railway scaffolding structure failure prediction method has higher prediction accuracy and can be applied to guide the structural design of railway scaffolding.

Key words: railway scaffolding structure, Kriging model, computer simulation, failure prediction, cross-validation

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