Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach

Summary The dynamic characterization of structures is essential for assessing their response when subjected to dynamic loads in structural health monitoring. It mainly comprises the modal parameters, that is, the natural frequencies, damping ratios and mode shapes. These modal properties are attracting more attention when structures are under construction or operation for the researchers, structure owner and engineers. This paper presents the work on the operational modal analysis of a super tall building-the Shanghai Tower with a height of 632 m situated in Shanghai, China. A recently developed fast Bayesian method is utilized to perform modal identification, providing an effective means to identify the modal properties and assess their accuracy. In this study, ambient vibration tests are implemented in different construction stages. The corresponding modal properties and their associated uncertainties are identified and investigated, with interesting trends observed. Finite element models are also established to obtain the modal parameters in different stages and compared with the identified results. After the main structure is completed, a field test covering the eight corners of the core wall in a typical floor is performed to investigate the mode shapes. Afterward, a 12-h measurement is performed with the information of temperature and humidity recorded simultaneously. The variation of modal properties with changing environment is studied. The results obtained will be beneficial for understanding the modal properties of this super tall building and provide a baseline for future structural health monitoring. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Yi-Qing Ni,et al.  Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method , 2016 .

[2]  Ka-Veng Yuen,et al.  Ambient interference in long-term monitoring of buildings , 2010 .

[3]  Alison B. Flatau,et al.  Review Paper: Health Monitoring of Civil Infrastructure , 2003 .

[4]  Yi-Qing Ni,et al.  Information entropy based algorithm of sensor placement optimization for structural damage detection , 2012 .

[5]  H. Hao,et al.  Long term vibration monitoring of an RC slab: Temperature and humidity effect , 2006 .

[6]  Siu-Kui Au,et al.  Assessing uncertainty in operational modal analysis incorporating multiple setups using a Bayesian approach , 2015 .

[7]  S. Au.  Fast Bayesian ambient modal identification in the frequency domain, Part II: Posterior uncertainty , 2012 .

[8]  Siu-Kui Au,et al.  Field observations on modal properties of two tall buildings under strong wind , 2012 .

[9]  B. Peeters,et al.  Stochastic System Identification for Operational Modal Analysis: A Review , 2001 .

[10]  Claus-Peter Fritzen,et al.  Operational modal analysis for Canton Tower , 2012 .

[11]  Ka-Veng Yuen,et al.  Structural health monitoring of Canton Tower using Bayesian framework , 2012 .

[12]  Rune Brincker,et al.  Modal identification of output-only systems using frequency domain decomposition , 2001 .

[13]  J. Conte,et al.  HEALTH MONITORING FOR CIVIL INFRASTRUCTURE , 2005 .

[14]  Chin-Hsiung Loh,et al.  SSA-based stochastic subspace identification of structures from output-only vibration measurements , 2012 .

[15]  Xijun Ye,et al.  Modal identification of Canton Tower under uncertain environmental conditions , 2012 .

[16]  Lambros S. Katafygiotis,et al.  Bayesian time–domain approach for modal updating using ambient data , 2001 .

[17]  Bart Peeters,et al.  International Research Projects on Structural Health Monitoring: An Overview , 2003 .

[18]  Tso-Chien Pan,et al.  Identifying Loading and Response Mechanisms from Ten Years of Performance Monitoring of a Tall Building , 2008 .

[19]  Ying Lei,et al.  Update the finite element model of Canton Tower based on direct matrix updating with incomplete modal data , 2012 .

[20]  Tian-Li Huang,et al.  Updating finite element model using dynamic perturbation method and regularization algorithm , 2012 .

[21]  Yi-Qing Ni,et al.  SHM benchmark for high-rise structures: a reduced-order finite element model and field measurement data , 2012 .

[22]  C F Beards,et al.  DAMPING IN STRUCTURES , 1984 .

[23]  Siu-Kui Au,et al.  Fast Bayesian FFT Method for Ambient Modal Identification with Separated Modes , 2011 .

[24]  Qiusheng Li,et al.  Monitoring of dynamic behaviour of super-tall buildings during typhoons , 2016 .

[25]  Siu-Kui Au,et al.  Probabilistic Model for Modal Properties Based on Operational Modal Analysis , 2016 .

[26]  Ming Gu,et al.  Sensor placement for structural health monitoring of Canton Tower , 2012 .

[27]  Siu-Kui Au,et al.  Fast Bayesian Ambient Modal Identification Incorporating Multiple Setups , 2012 .

[28]  Hoon Sohn,et al.  A review of structural health monitoring literature 1996-2001 , 2002 .

[29]  S. Au.  Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value , 2012 .

[30]  Siu-Kui Au,et al.  Full-scale dynamic testing and modal identification of a coupled floor slab system , 2012 .

[31]  Siu-Kui Au,et al.  Bayesian operational modal analysis: Theory, computation, practice , 2013 .

[32]  Yi-Qing Ni,et al.  Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower , 2009 .

[33]  Lambros S. Katafygiotis,et al.  Bayesian Fast Fourier Transform Approach for Modal Updating Using Ambient Data , 2003 .

[34]  K. Yuen.  Bayesian Methods for Structural Dynamics and Civil Engineering , 2010 .

[35]  Y. Tamura,et al.  Evaluation of amplitude-dependent damping and natural frequency of buildings during strong winds , 1996 .

[36]  Lambros S. Katafygiotis,et al.  Bayesian spectral density approach for modal updating using ambient data , 2001 .

[37]  Siu-Kui Au,et al.  Erratum for “Fast Bayesian FFT Method for Ambient Modal Identification with Separated Modes” by Siu-Kui Au , 2013 .

[38]  Ahsan Kareem,et al.  SmartSync: An Integrated Real-Time Structural Health Monitoring and Structural Identification System for Tall Buildings , 2013 .

[39]  Shamim N. Pakzad,et al.  Structure and Infrastructure Engineering : Maintenance , Management , Life-Cycle Design and Performance , 2014 .

[40]  Siu-Kui Au,et al.  Ambient modal identification of a primary-secondary structure by Fast Bayesian FFT method , 2012 .

[41]  Hoon Sohn,et al.  Finite element model updating of Canton Tower using regularization technique , 2012 .

[42]  Siu-Kui Au,et al.  Development of a practical algorithm for Bayesian model updating of a coupled slab system utilizing field test data , 2014 .

[43]  Xilin Lu,et al.  Field dynamic test and Bayesian modal identification of a special structure – the Palms Together Dagoba , 2016 .

[44]  Xilin Lu,et al.  Modal identification of Shanghai World Financial Center both from free and ambient vibration response , 2012 .

[45]  Yi-Qing Ni,et al.  Mode shape expansion with consideration of analytical modelling errors and modal measurement uncertainty , 2012 .