Abstract

Multistory industrial buildings have become prevalent in sectors such as electronics, machinery, pharmaceuticals, and textiles due to limited space in urban environment. There is usually a strict requirement of machine operation on the building vibration, so that it becomes relevant to quantify the structural dynamical characteristics, e.g., natural frequencies, damping ratios, and mode shapes. This paper presents a multisetup ambient vibration test and retest conducted in a multistory industrial building located in Haining, China, using eight triaxial accelerometers to cover 36 measurement locations in six setups during normal operations and shutdown condition. These tests followed a nearly identical test configuration with minor local discrepancies. To obtain the primary modal parameters of the structure, a Bayesian multisetup modal identification algorithm is adopted, followed with a detailed analysis of the results. Furthermore, the floor serviceability is investigated, primarily focusing on worker comfort. The study reveals several interesting phenomena, such as the impact of structural expansion joints and sensor synchronization on the identification results. This study serves as a demonstrative effort in examining the dynamic characteristics of multistory industrial buildings. It provides insight into evaluating the dynamic characteristics with limited sensors and abnormal identification results.

Get full access to this article

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

Data Availability Statement

All data are available in the published article.

Acknowledgments

This research is supported by the Natural Science Foundation of Zhejiang Province (LY21E080025) and the National Natural Science Foundation of China (51908494). The third author gratefully acknowledges the support of the UK Engineering and Physical Sciences Research Council (EPSRC) through the ROSEHIPS project (Grant EP/W005816/1). Any opinions, findings and conclusions, or recommendations expressed in this material are those of the authors and do not reflect the views of the funders.

References

Alkayem, N. F., M. Cao, Y. Zhang, M. Bayat, and Z. Su. 2018. “Structural damage detection using finite element model updating with evolutionary algorithms: A survey.” Neural Comput. Appl. 30 (2): 389–411. https://doi.org/10.1007/s00521-017-3284-1.
Allemang, R. J., and D. L. Brown. 2020. “Experimental modal analysis methods.” In Handbook of experimental structural dynamics, edited by R. Allemang and P. Avitabile, 1–81. New York: Springer.
Amick, C. H., M. Gendreau, T. Busch, and C. G. Gordon. 2005. “Evolving criteria for research facilities: I—Vibration.” In Proc., SPIE Conf. 5933: Buildings for Nanoscale Research and Beyond. Bellingham, WA: Society of Photographic Instrumentation Engineers.
Au, S.-K. 2011. “Fast Bayesian FFT method for ambient modal identification with separated modes.” J. Eng. Mech. 137 (3): 214–226. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000213.
Au, S.-K. 2012a. “Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value.” Mech. Syst. Signal Process. 26 (Jan): 60–75. https://doi.org/10.1016/j.ymssp.2011.06.017.
Au, S.-K. 2012b. “Fast Bayesian ambient modal identification in the frequency domain, Part II: Posterior uncertainty.” Mech. Syst. Signal Process. 26 (Jan): 76–90. https://doi.org/10.1016/j.ymssp.2011.06.019.
Au, S.-K. 2017. Operational modal analysis. Singapore: Springer.
Brincker, R., and C. Ventura. 2015. Introduction to operational modal analysis. Chichester, UK: Wiley.
Brincker, R., L. Zhang, and P. Andersen. 2001. “Modal identification of output-only systems using frequency domain decomposition.” Smart Mater. Struct. 10 (3): 441–445. https://doi.org/10.1088/0964-1726/10/3/303.
Brownjohn, J. M. W. 2006. “Structural health monitoring of civil infrastructure.” Philos. Trans. R. Soc. A 365 (1851): 589–622. https://doi.org/10.1098/rsta.2006.1925.
Brownjohn, J. M. W., T.-C. Pan, C. Middleton, S. C. Tan, and G. Yang. 2016. “Floor vibration serviceability in a multistory factory building.” J. Perform. Constr. Facil. 30 (1): 04014203. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000688.
Capellari, G., E. Chatzi, and S. Mariani. 2018. “Structural health monitoring sensor network optimization through Bayesian experimental design.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 4 (2): 04018016. https://doi.org/10.1061/AJRUA6.0000966.
Cigada, A., A. Caprioli, M. Redaelli, and M. Vanali. 2008. “Vibration testing at Meazza stadium: Reliability of operational modal analysis to health monitoring purposes.” J. Perform. Constr. Facil. 22 (4): 228–237. https://doi.org/10.1061/(ASCE)0887-3828(2008)22:4(228).
Cigada, A., E. Mola, F. Mola, G. Stella, and M. Vanali. 2014. “Dynamic behavior of the palazzo lombardia tower: Comparison of numerical models and experimental results.” J. Perform. Constr. Facil. 28 (3): 491–501. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000431.
Cismaşiu, C., A. C. Narciso, and F. P. Amarante Dos Santos. 2015. “Experimental dynamic characterization and finite-element updating of a footbridge structure.” J. Perform. Constr. Facil. 29 (4): 04014116 https://doi.org/10.1061/(ASCE)CF.1943-5509.0000615.
Döhler, M., X.-B. Lam, and L. Mevel. 2013. “Uncertainty quantification for modal parameters from stochastic subspace identification on multi-setup measurements.” Mech. Syst. Signal Process. 36 (2): 562–581. https://doi.org/10.1016/j.ymssp.2012.11.011.
Dubbs, N. C., and F. L. Moon. 2016. “Assessment of long-span bridge performance issues through an iterative approach to ambient vibration–based structural identification.” J. Perform. Constr. Facil. 30 (5): 04016029. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000877.
Er, P. V., and K. K. Tan. 2018. “Machine vibration analysis based on experimental modal analysis with radial basis functions.” Measurement 128 (Nov): 45–54. https://doi.org/10.1016/j.measurement.2018.06.013.
Jiang, M., and W. Li. 2023. “The impact mechanism of industrial land allocation system and policy on space use efficiency from the market-oriented reform perspective.” Social Sci. Front. 342 (Sep): 118288. https://doi.org/10.1016/j.jenvman.2023.118288.
Kim, S., J. Park, and H.-K. Kim. 2017. “Damping identification and serviceability assessment of a cable-stayed bridge based on operational monitoring data.” J. Bridge Eng. 22 (3): 04016123. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001004.
Li, B., and S.-K. Au. 2019. “An expectation-maximization algorithm for Bayesian operational modal analysis with multiple (possibly close) modes.” Mech. Syst. Signal Process. 132 (Oct): 490–511. https://doi.org/10.1016/j.ymssp.2019.06.036.
Maia, N. M. M., and J. M. M. E. Silva. 1997. Theoretical and experimental modal analysis. Brookline, MA: Research Studies Press.
Moughty, J. J., and J. R. Casas. 2017. “A state of the art review of modal-based damage detection in bridges: Development, challenges, and solutions.” Appl. Sci. 7 (5): 510. https://doi.org/10.3390/app7050510.
Pan, T.-C., A. Mita, and J. Li. 2001. “Vehicle-induced floor vibrations in a multistory factory building.” J. Perform. Constr. Facil. 15 (2): 54–61. https://doi.org/10.1061/(ASCE)0887-3828(2001)15:2(54).
Reynders, E., R. Pintelon, and G. De Roeck. 2008. “Uncertainty bounds on modal parameters obtained from stochastic subspace identification.” Mech. Syst. Signal Process. 22 (4): 948–969. https://doi.org/10.1016/j.ymssp.2007.10.009.
Sevim, B., A. C. Altunişik, and A. Bayraktar. 2012. “Earthquake behavior of Berke arch dam using ambient vibration test results.” J. Perform. Constr. Facil. 26 (6): 780–792. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000264.
Uçak, S., A. Bayraktar, T. Türker, and G. Osmancikli. 2016. “Finite-element model calibration of historical masonry domes using operational modal testings.” J. Perform. Constr. Facil. 30 (2): 04014206. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000710.
Van Overschee, P., and B. De Moor. 1996. Subspace identification for linear systems. Boston, MA: Springer.
Weckendorf, J., G. Hafeez, G. Doudak, and I. Smith. 2014. “Floor vibration serviceability problems in wood light-frame buildings.” J. Perform. Constr. Facil. 28 (6): A4014003. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000538.
Yin, T. 2022. “A practical Bayesian framework for structural model updating and prediction.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 8 (1): 04021073. https://doi.org/10.1061/AJRUA6.0001196.
Yuen, K.-V., and L. S. Katafygiotis. 2001. “Bayesian time–domain approach for modal updating using ambient data.” Probab. Eng. Mech. 16 (3): 219–231. https://doi.org/10.1016/S0266-8920(01)00004-2.
Yuen, K.-V., and L. S. Katafygiotis. 2003. “Bayesian fast fourier transform approach for modal updating using ambient data.” Adv. Struct. Eng. 6 (2): 81–95. https://doi.org/10.1260/136943303769013183.
Zhu, Y.-C., and S.-K. Au. 2017. “Spectral characteristics of asynchronous data in operational modal analysis.” Struct. Control Health Monit. 24 (11): e1981. https://doi.org/10.1002/stc.1981.
Zhu, Z., and S.-K. Au. 2022. “Uncertainty quantification in Bayesian operational modal analysis with multiple modes and multiple setups.” Mech. Syst. Signal Process. 164 (Feb): 108205. https://doi.org/10.1016/j.ymssp.2021.108205.
Zhu, Z., S.-K. Au, and B. Li. 2023. “Accelerating convergence in Bayesian operational modal analysis with Fisher information matrix.” Mech. Syst. Signal Process. 186 (Mar): 109894. https://doi.org/10.1016/j.ymssp.2022.109894.
Zhu, Z., S.-K. Au, B. Li, and Y.-L. Xie. 2021. “Bayesian operational modal analysis with multiple setups and multiple (possibly close) modes.” Mech. Syst. Signal Process. 150 (Mar): 107261. https://doi.org/10.1016/j.ymssp.2020.107261.
Zhu, Z., S.-K. Au, and X. Wang. 2019. “Instrument noise calibration with arbitrary sensor orientations.” Mech. Syst. Signal Process. 117 (Feb): 879–892. https://doi.org/10.1016/j.ymssp.2018.07.052.

Information & Authors

Information

Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 38Issue 4August 2024

History

Received: Sep 4, 2023
Accepted: Feb 13, 2024
Published online: Jun 3, 2024
Published in print: Aug 1, 2024
Discussion open until: Nov 3, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Assistant Professor, Zhejiang University–University of Illinois Urbana–Champaign Institute, Zhejiang Univ., Haining, Zhejiang 314400, China. ORCID: https://orcid.org/0000-0003-4479-3359. Email: [email protected]
Doctoral Candidate, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China. ORCID: https://orcid.org/0000-0002-2210-720X. Email: [email protected]
Post-doctoral, Vibration Engineering Section, College of Engineering, Mathematics and Physical Sciences, Univ. of Exeter, Harrison Buld., North Park Rd., Exeter EX4 4QF, UK. ORCID: https://orcid.org/0000-0002-5025-6640. Email: [email protected]
Research Fellow, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China (corresponding author). ORCID: https://orcid.org/0000-0001-5385-3101. Email: [email protected]
Distinguished Chair Professor, Zhejiang University–University of Illinois Urbana–Champaign Institute, Zhejiang Univ., Haining, Zhejiang 314400, China; Director, Joint Research Center for Biobased Materials and Carbon Neutral Development (Ninghai), Zhejiang Univ., Haining, Zhejiang 314400, China. ORCID: https://orcid.org/0000-0002-4909-0700. 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.

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