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作者:

Guo, Tieneng (Guo, Tieneng.) | Meng, Lingjun (Meng, Lingjun.) | Zhou, Cheng (Zhou, Cheng.) | Hua, Xu (Hua, Xu.)

收录:

SCIE

摘要:

Identification of the vulnerabilities in the structural stiffness is one of the most crucial issues in improving this property of machine tools. In this paper, the Flexibility Matrix Diagonal element method, based on hammer testing, is proposed as an effective approach to identifying the stiffness weakness of cantilever structures. To verify the proposed method, the element stiffness weakening is used to simulate the weak parts regarding stiffness. Several scenarios, with single and multiple weakness points, including various noise levels, are studied, using finite element simulations. Next, a novel method, to measure the accuracy of the algorithm and quantify the weakness level, under noise conditions, is proposed. The advantage of this method, compared to the ones based on Flexibility Difference Method, is the higher identification accuracy under noise interference. Finally, the cantilever beam with elastic support is experimentally studied. The natural frequencies and modal shapes are obtained, according to the singular value decomposition method, to establish the flexibility matrix. In addition, using only the lowest three modes, a series of numerical examples and experiments are provided, to illustrate the validity and the considerable practical engineering value of the method.

关键词:

Cantilever structures experimental modal analysis finite element method modal flexibility matrix weakness identification

作者机构:

  • [ 1 ] [Guo, Tieneng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing, Peoples R China
  • [ 2 ] [Meng, Lingjun]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing, Peoples R China
  • [ 3 ] [Zhou, Cheng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing, Peoples R China
  • [ 4 ] [Hua, Xu]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing, Peoples R China
  • [ 5 ] [Guo, Tieneng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing, Peoples R China
  • [ 6 ] [Meng, Lingjun]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing, Peoples R China
  • [ 7 ] [Zhou, Cheng]Mech Ind Key Lab Heavy Machine Tool Digital Desig, Beijing, Peoples R China
  • [ 8 ] [Hua, Xu]Mech Ind Key Lab Heavy Machine Tool Digital Desig, Beijing, Peoples R China

通讯作者信息:

  • [Meng, Lingjun]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Inst Adv Mfg & Intelligent Technol, 100 Pingyuan, Beijing 100124, Peoples R China

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来源 :

SCIENCE PROGRESS

ISSN: 0036-8504

年份: 2021

期: 3

卷: 104

2 . 1 0 0

JCR@2022

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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