Technical Papers
Sep 24, 2018

Method for Decoupling and Correction of Dynamical Signals in High-Frequency Force Balance Tests

Publication: Journal of Structural Engineering
Volume 144, Issue 12

Abstract

High-frequency force balance (HFFB) technology is a popular experimental method for investigating dynamic wind loading and wind-induced response of high-rise buildings. A decoupling matrix obtained from static calibration is provided along with HFFB when leaving a factory. This matrix is used to achieve the conversion from voltage to measured signals. The static component can actually be decoupled but the dynamic component generated by the balance-model system (BMS) cannot be decoupled fully. Thus, the dynamic distortion signals caused by the dynamic amplification of BMS cannot be corrected effectively. A general approach is proposed to decouple and correct the coupled dynamical signals in HFFB tests. The measured signals are initially decoupled by the complex blind modal identification (CBMID) technique. Subsequently, the modified Bayesian spectrum density approach is adopted to identify modal parameters effectively, and the distortion components of modal signals are corrected according to the identified parameters. Finally, the base aerodynamic signals of BMS, whose dynamic amplification effect is eliminated, are synthesized by the mode shape obtained by using the CBMID method. The proposed method can automatically adapt to complicated test conditions, such as nonproportional damping or inhomogeneous material distribution and wind–structure interaction. Lastly, the HFFB wind tunnel test of a 528-m superhigh-rise building is taken as an example to indicate the validity and superiority of the proposed method.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The work described in this paper is fully supported by grants from the National Science Foundation of China (Grants Nos. 51778243 and 51408227). The financial support is gratefully acknowledged.

References

Abazarsa, F., S. F. Ghahari, F. Nateghi, and E. Taciroglu. 2013. “Response-only modal identification of structures using limited sensors.” Struct. Control Health Monit. 20 (6): 987–1006. https://doi.org/10.1002/stc.1513.
Antoni, J., and S. Chauhan. 2013. “A study and extension of second-order blind source separation to operational modal analysis.” J. Sound Vibr. 332 (4): 1079–1106. https://doi.org/10.1016/j.jsv.2012.09.016.
Au, S. K., F. L. Zhang, and T. Ping. 2012. “Field observations on modal properties of two tall buildings under strong wind.” J. Wind Eng. Ind. Aerodyn. 101 (1): 12–23. https://doi.org/10.1016/j.jweia.2011.12.002.
Belouchrani, A., K. Abed-Meraim, J. F. Cardoso, and E. Moulines. 1997. “Blind source separation using second order statistics.” IEEE Trans. Sig. Process. 45 (2): 434–444. https://doi.org/10.1109/78.554307.
Chinese Standards. 2012. Load code for the design of building structures. [In Chinese.] GB 50009. Beijing: China Architecture & Building Press.
Cook, N. J. 1983. “A sensitive 6-component high-frequency-range balance for building aerodynamics.” J. Phys. E Sci. Instrum. 16 (5): 390–393. https://doi.org/10.1088/0022-3735/16/5/007.
Cui, W., and L. Caracoglia. 2016. “Physics-based method for the removal of spurious resonant frequencies in high-frequency force balance tests.” J. Struct. Eng. 142 (2): 04015129. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001414.
Hazra, B., A. J. Roffel, S. Narasimhan, and M. D. Pandey. 2010. “Modified cross-correlation method for the blind identification of structures.” J. Eng. Mech. 136 (7): 889–897. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000133.
Katafygiotis, L. S., and K. V. Yuen. 2001. “Bayesian spectral density approach for modal updating using ambient data.” Earthquake Eng. Struct. Dyn. 30 (8): 1103–1123. https://doi.org/10.1002/eqe.53.
McNeill, S. I. 2011. “An analytic formulation for blind modal identification.” J. Vibr. Control 18 (14): 2111–2121. https://doi.org/10.1177/1077546311429146.
McNeill, S. I., and D. C. Zimmerman. 2008. “A framework for blind modal identification using joint approximate diagonalization.” Mech. Syst. Sig. Process. 22 (7): 1526–1548. https://doi.org/10.1016/j.ymssp.2008.01.010.
Nagarajaiah, S., and Y. Yang. 2015. “Blind modal identification of output-only non-proportionally-damped structures by time-frequency complex independent component analysis.” Smart Struct. Syst. 15 (1): 81–97. https://doi.org/10.12989/sss.2015.15.1.081.
Tschanz, T., and A. G. Davenport. 1983. “The base balance technique for the determination of dynamic wind loads.” J. Wind Eng. Ind. Aerodyn. 13 (1): 429–439. https://doi.org/10.1016/0167-6105(83)90162-9.
Tse, K. T., P. A. Hitchcock, K. C. S. Kwok, S. Thepmongkorn, and C. M. Chan. 2009. “Economic perspectives of aerodynamic treatments of square tall buildings.” J. Wind Eng. Ind. Aerodyn. 97 (9–10): 455–467. https://doi.org/10.1016/j.jweia.2009.07.005.
Wang, L., S. Liang, J. Song, and S. Wang. 2015. “Analysis of vortex induced vibration frequency of super tall building based on wind tunnel tests of MDOF aero-elastic model.” Wind Struct. Int. J. 21 (5): 523–536. https://doi.org/10.12989/was.2015.21.5.523.
Xie, Z. N. 2003. “Wind-induced interference effects on typical tall buildings.” [In Chinese.] Ph.D. thesis, College of Civil Engineering, Tongji Univ.
Xu, A., Z. Xie, M. Gu, and J. Wu. 2015. “A new method for dynamic parameters identification of a model-balance system in high-frequency force-balance wind tunnel tests.” J. Vibroeng. 17 (5): 2609–2623.
Yuen, K. V., and J. L. Beck. 2003. “Updating properties of nonlinear dynamical systems with uncertain input.” J. Eng. Mech. 129 (1): 9–20. https://doi.org/10.1061/(ASCE)0733-9399(2003)129:1(9).
Yuen, K. V., L. S. Katafygiotis, and J. L. Beck. 2002. “Spectral density estimation of stochastic vector processes.” Probab. Eng. Mech. 17 (3): 265–272. https://doi.org/10.1016/S0266-8920(02)00011-5.

Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 144Issue 12December 2018

History

Received: Sep 9, 2017
Accepted: May 15, 2018
Published online: Sep 24, 2018
Published in print: Dec 1, 2018
Discussion open until: Feb 24, 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Candidate, State Key Laboratory of Subtropical Building Science, South China Univ. of Technology, 381 Wushan Rd., Guangzhou, Guangdong 510640, China. Email: [email protected]
Zhuangning Xie [email protected]
Professor, State Key Laboratory of Subtropical Building Science, South China Univ. of Technology, 381 Wushan Rd., Guangzhou, Guangdong 510640, China. Email: [email protected]
Xianfeng Yu [email protected]
Lecturer, State Key Laboratory of Subtropical Building Science, South China Univ. of Technology, 381 Wushan Rd., Guangzhou, Guangdong 510640, China (corresponding author). Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share