Model updating of a shear-wall tall building using various vibration monitoring data: Accuracy and robustness

被引:0
|
作者
Shan, Jiazeng [1 ,2 ]
Zhuang, Changhao [1 ]
Chao, Xi [1 ]
Loong, Cheng Ning [3 ,4 ]
机构
[1] Tongji Univ, Dept Disaster Mitigat Struct, Shanghai, Peoples R China
[2] Shanghai Engn Res Ctr Resilient Cities & Intellige, Shanghai, Peoples R China
[3] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[4] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
来源
基金
国家重点研发计划;
关键词
model updating; monitoring data; structural health monitoring; system identification; tall building; Timoshenko beam; DAMAGE IDENTIFICATION; ACCELERATION; TIME;
D O I
10.1002/tal.2114
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Acceleration measurements are often used for model updating of civil engineering structures, especially in the case of seismic monitoring. It is yet unclear if accelerations alone would generate an accurate and robust finite-element (FE) model. This study examines this notion and analyzes the possibility of using other vibration monitoring data for model updating of shear-wall tall buildings. This study compares the accuracy and robustness of the FE models being optimized via accelerations, roof displacement, wall rotations, interstory drift ratios, and the linear combination of these measurements. A numerical case study is analyzed using Timoshenko beams for modeling the lateral vibration of a benchmark 42-story building under seismic excitations. Results show that the acceleration response of the examined building is mostly governed by its higher vibration modes. Depending on the characteristics of ground motions, using accelerations alone may generate an FE model biased towards higher-order modes without effectively capturing the lower-order modes. For instance, the first modal frequency of the updated FE model could be 12.0% lower than the true value, and the reconstructed displacement and rotation responses are noticeably inaccurate. Employing multi-source monitoring data for model updating, for example, the combinations of roof displacement and acceleration measurements, could reduce the normalized root-mean-square errors in displacements by more than 70%. This study also quantifies the robustness of the FE model under various measurement noise levels and 50 pairs of earthquake records. Finally, the effects of multi-source data on FE model updating are validated via experiments on a 7-story shear wall building. Analysis reveals that a more accurate and robust FE model can be determined via a combination of accelerations and top displacement than via acceleration alone.
引用
收藏
页数:19
相关论文
共 50 条
  • [11] Cyclic loading test of RC multi-story shear-wall - Damper connection: Development of vibration controlled high-rise RC building with low stiffness at lower stories using shear-wall and oil-dampers Part 2
    Tani T.
    Maseki R.
    Takewaki I.
    Journal of Structural and Construction Engineering, 2018, 83 (747): : 677 - 685
  • [12] Nonlinear model calibration of a shear wall building using time and frequency data features
    Asgarieh, Eliyar
    Moaveni, Babak
    Barbosa, Andre R.
    Chatzi, Eleni
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 85 : 236 - 251
  • [13] Numerical and experimental verifications on damping identification with model updating and vibration monitoring data
    Li, Jun
    Hao, Hong
    Fan, Gao
    Ni, Pinghe
    Wang, Xiangyu
    Wu, Changzhi
    Lee, Jae-Myung
    Jung, Kwang-Hyo
    SMART STRUCTURES AND SYSTEMS, 2017, 20 (02) : 127 - 137
  • [14] Accuracy of base shear force of tall building wind-induced vibration response produced by Chinese Load Code
    Xiong, Tie-Hua
    Liang, Shu-Guo
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2011, 24 (06): : 664 - 669
  • [15] Effects of Using High-Strength Reinforcement in the Seismic Performance of a Tall RC Shear Wall Building
    Puentes, Juan
    Parra, Pablo F.
    Magna-Verdugo, Carolina E.
    Cendoya, Patricio
    Avudaiappan, Siva
    BUILDINGS, 2023, 13 (04)
  • [16] Thermal Modeling of a Historical Building Wall: Using Long-Term Monitoring Data to Understand the Reliability and the Robustness of Numerical Simulations
    Panico, Simone
    Larcher, Marco
    Troi, Alexandra
    Baglivo, Cristina
    Congedo, Paolo Maria
    BUILDINGS, 2022, 12 (08)
  • [17] An innovative continuous Bayesian model updating method for base-isolated RC buildings using vibration monitoring data
    Ierimonti, Laura
    Venanzi, Ilaria
    Cavalagli, Nicola
    Comodini, Fabrizio
    Ubertini, Filippo
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 139 (139)
  • [18] Story-wise system identification of actual shear building using ambient vibration data and ARX model
    Ikeda, Ayumi
    Fujita, Kohei
    Takewaki, Izuru
    EARTHQUAKES AND STRUCTURES, 2014, 7 (06) : 1093 - 1118
  • [19] Effects of variability in ambient vibration data on model updating and damage identification of a 10-story building
    Nozari, Amin
    Behmanesh, Iman
    Yousefianmoghadam, Seyedsina
    Moaveni, Babak
    Stavridis, Andreas
    ENGINEERING STRUCTURES, 2017, 151 : 540 - 553
  • [20] A Combined Machine Learning and Model Updating Method for Autonomous Monitoring of Bolted Connections in Steel Frame Structures Using Vibration Data
    Pal, Joy
    Sikdar, Shirsendu
    Banerjee, Sauvik
    Banerji, Pradipta
    APPLIED SCIENCES-BASEL, 2022, 12 (21):