A nonlinearity measure-based damage location method for beam-like structures

被引:7
作者
Jiang, Mian [1 ]
Zhang, Wenan [2 ]
Lu, Qinghua [1 ]
机构
[1] Foshan Univ, Sch Mechatron Engn, Foshan 528000, Peoples R China
[2] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipmen, Xiangtan 411201, Peoples R China
基金
中国国家自然科学基金;
关键词
Damage detection; Vibrations responses; Nonlinearity measure; Vision measurement; CRACKED BEAM; FATIGUE CRACKS; VIBRATION; IDENTIFICATION; BEHAVIOR;
D O I
10.1016/j.measurement.2019.06.049
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In our previous work, nonlinearity measure was proposed for assessment of nonlinearity severity of distributed parameter systems (DPSs). However, its engineering applications are restricted due to the high-dimensional optimization procedure in the nonlinear quantification. In this paper, we employ proper orthogonal decomposition (POD) to remove this restriction and apply this viewpoint to establish a damage location method for beam-like structures. The targeted structure was first divided into the sections by designated characteristic points, and the POD was used to obtain an optimized approximation of nonlinear systems' trajectory. When comparing the nonlinearity degrees of the characteristic points in undamaged and damaged structures, the location was identifiable by finding positions of maximal change. Additional experiments were conducted to demonstrate the method's effectiveness and applicability by determining the crack location and the influence of crack depth. Given our findings, we hope that this method can be extended to other vibrating structures with underlying nonlinearities. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:571 / 581
页数:11
相关论文
共 50 条
[31]   State-based buckling analysis of beam-like structures [J].
Ranjbaran, Abdolrasoul ;
Ranjbaran, Mohammad .
ARCHIVE OF APPLIED MECHANICS, 2017, 87 (09) :1555-1565
[32]   Damage estimation on beam-like structures using the multi-resolution analysis [J].
Kim, Byeong Hwa ;
Park, Taehyo ;
Voyiadjis, George Z. .
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2006, 43 (14-15) :4238-4257
[33]   Damage assessment in beam-like structures by correlation of spectrum using machine learning [J].
Le-Ngoc, Vien ;
Vuong-Cong, Luan ;
Pham-Bao, Toan ;
Ngo-Kieu, Nhi .
FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, 2023, 17 (65) :300-319
[34]   Damage detection in beam-like structures using static shear energy redistribution [J].
PENG Xi ;
YANG Qiuwei .
Frontiers of Structural and Civil Engineering, 2022, 16 (12) :1552-1564
[35]   An adaptive damage detection method based on differential evolutionary algorithm for beam structures [J].
Wang, Naige ;
Jiang, Yongying ;
Zhong, Yongteng ;
Shao, Liang .
MEASUREMENT, 2021, 178
[36]   A Probabilistic Model-Based Framework for Damage Detection in Beam-Like Structures Considering Temperature Effects [J].
Altammar, Hussain .
INTERNATIONAL JOURNAL OF ACOUSTICS AND VIBRATION, 2024, 29 (04) :415-430
[37]   Element stiffness index distribution method for multi-crack detection of a beam-like structure [J].
Khoa Viet Nguyen ;
Quang Van Nguyen .
ADVANCES IN STRUCTURAL ENGINEERING, 2016, 19 (07) :1077-1091
[38]   MODELING OF LAMB WAVE PROPAGATION IN BEAM-LIKE STRUCTURES VIA WAVELET FINITE ELEMENT METHOD [J].
Zuo, Hao ;
Chen, Xuefeng ;
Yang, Zhibo ;
Yang, Laihao .
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2016, VOL. 9, 2017,
[39]   A bicoherence-based nonlinearity measurement method for identifying the location of breathing cracks in blades [J].
Jiang, Mian ;
Wang, Daoyong ;
Kuang, Yingwei ;
Mo, Xianxian .
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, 2021, 135 (135)
[40]   Crack detection in beam-like structures using a wavelet-based neural network [J].
Nematollahi, M. A. ;
Farid, M. ;
Hematiyan, M. R. ;
Safavi, A. A. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2012, 226 (G10) :1243-1254