Contact loss identification of CA mortar in prefabricated slab track based on PSO-SVM

被引：3
|
作者：
Ren J. [1 ,2 ,3 ]
Du W. [1 ,2 ]
Ye W. [1 ,2 ]
Liu W. [1 ,2 ]
Wei Z. [4 ]
机构：
[1] MOE Key Laboratory of High-speed Railway Engineering, Southwest Jiaotong University, Chengdu
[2] School of Civil Engineering, Southwest Jiaotong University, Chengdu
[3] School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha
[4] China Railway Design Corporation, Tianjin
来源：
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2021年 / 52卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Contact loss identification; Damage characteristic index; Particle swarm optimization algorithm; Principal component analysis method; Support vector machine;
D O I：
10.11817/j.issn.1672-7207.2021.11.023
中图分类号：
学科分类号：
摘要：
To identify the interlayer contact loss of the prefabricated slab track accurately, a vehicle-slab track coupling dynamic model considering CA mortar damage was established by using ANSYS/LS-DYNA finite element software. Damage characteristic indexes were extracted based on vibration response and its dimension was reduced using principal component analysis. And the obtained contact loss samples were input into the identification model based on the particle swarm optimization algorithm-support vector machine(PSO-SVM) for damage identification. The results show that the 26 characteristic indexes extracted from the vibration signal in the time domain, frequency domain and time-frequency domain can fully reflect the hidden damage information. The principal component analysis method can effectively reduce the characteristic index dimensions and improve damage identification efficiency. The PSO-SVM identification algorithm proposed in this paper is reliable and efficient for mortar contact loss identification, and the identification accuracy reaches 90%. © 2021, Central South University Press. All right reserved.
引用
收藏
页码：4021 / 4031
页数：10
相关论文
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