Damage identification of bridge crane metal structure based on mode shape curvature and RSM

被引:0
|
作者
Tong, Yifei [1 ]
Zhong, Meng [1 ]
Zhang, Xu [2 ]
Li, Xiangdong [3 ]
机构
[1] Nanjing University of Science and Technology, China
[2] AECC SOUTH INDUSTRY CO., LTD, China
[3] Jiangsu Province Special Equipment Safety Supervision Inspection Institute, China
来源
UPB Scientific Bulletin, Series D: Mechanical Engineering | 2019年 / 81卷 / 03期
关键词
Damage detection - Cranes - Surface properties - Numerical methods;
D O I
暂无
中图分类号
学科分类号
摘要
In order to maintain the integrity and safety of crane metal structure, a damage identification method based on mode shape curvature and response surface methodology (RSM) is proposed in this paper. Basically, mode curvature method is used to identify damage location. Then the central composite design method is selected to establish quadratic response surface for identification of damage severity. Finally, numerical simulation of a QD50/10-31.5A5 universal bridge crane is conducted to verify the proposed method. The results show that the proposed method can identify multiple damage of the structure accurately with improved identification efficiency due to the application of RSM. © 2019, Politechnica University of Bucharest. All rights reserved.
引用
收藏
页码:127 / 140
相关论文
共 50 条
  • [21] Vibration Based Damage Detection in Plate-like Structure Using Square of Mode Shape Curvature
    Lanka, Ramesh
    Rao, Putti Srinivasa
    EUROPEAN JOURNAL OF COMPUTATIONAL MECHANICS, 2019, 28 (04): : 269 - 305
  • [22] Damage Identification Dependence on Number of Vibration Modes Using Mode Shape Curvature Squares
    Janeliukstis, R.
    Rucevskis, S.
    Wesolowski, M.
    Chate, A.
    13TH INTERNATIONAL CONFERENCE ON MOTION AND VIBRATION CONTROL (MOVIC 2016) AND THE 12TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN STRUCTURAL DYNAMICS (RASD 2016), 2016, 744
  • [23] Multiple Damage Identification in a Beam Using Artificial Neural Network-Based Modified Mode Shape Curvature
    Sonu Kumar Gupta
    Surajit Das
    Arabian Journal for Science and Engineering, 2022, 47 : 4849 - 4864
  • [24] Multiple Damage Identification in a Beam Using Artificial Neural Network-Based Modified Mode Shape Curvature
    Gupta, Sonu Kumar
    Das, Surajit
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (04) : 4849 - 4864
  • [25] Bridge Structure Damage Identification Based on Dynamic Characteristics
    Zhang, Yunkai
    Tan, Xixue
    Li, Guohua
    Dong, Jun
    Guo, Jingyi
    Liu, Fanyue
    COATINGS, 2022, 12 (03)
  • [26] Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
    Meng, Zhaobo
    Ren, Xiancai
    Chai, Shanqing
    Wang, Xin
    Zhao, Tengfei
    Gao, Feifei
    Wang, Shanwei
    Liu, Yufa
    ADVANCES IN CIVIL ENGINEERING, 2023, 2023
  • [27] Nondestructive identification of composite beams damage based on the curvature mode difference
    He, Meihong
    Yang, Tao
    Du, Yu
    COMPOSITE STRUCTURES, 2017, 176 : 178 - 186
  • [28] Damage identification and localization of offshore platforms based on mode curvature method
    China Ship Scientific Research Center, Wuxi 214082, China
    不详
    Chuan Bo Li Xue, 5 (503-508): : 503 - 508
  • [29] Identification of multiple damage in beams based on robust curvature mode shapes
    Cao, Maosen
    Radzienski, Maciej
    Xu, Wei
    Ostachowicz, Wieslaw
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2014, 46 (02) : 468 - 480
  • [30] Curvature mode shape-based damage detection in composite laminated plates
    Qiao, Pizhong
    Lu, Kan
    Lestari, Wahyu
    Wang, Jialai
    COMPOSITE STRUCTURES, 2007, 80 (03) : 409 - 428