Operational modal analysis of brodie tower using a Bayesian approach

Yan Long Xie; Yi Chen Zhu; Siu Kui Au

doi:10.7712/120217.5350.17021

Operational modal analysis of brodie tower using a Bayesian approach

Yan Long Xie^*, Yi Chen Zhu, Siu Kui Au

^*Corresponding author for this work

University of Liverpool

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper presents a full-scale ambient vibration test and modal identification of Brodie Tower, an eight-storey office building at the University of Liverpool. Five triaxial forcebalance accelerometers were deployed. The measurement scheme comprised seven setups covering four locations on each floor, acquiring twenty minutes of ambient data for each setup. The modal properties of the building are identified using a Bayesian fast Fourier transform modal identification method incorporating multiple setup data, which accounts for the variability and the quality of data among different setups. Besides providing the estimates of modal parameters through the posterior (i.e., given data) most probable values, this method can also quantitatively assess their identification precision through the posterior covariance. The identified modal properties and their accuracy in different setups are compared and discussed. The identified global mode shapes are also compared with those obtained by global least square method. The data quality in each setup and how they affect the identification results are investigated.

Original language	English
Title of host publication	UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Editors	George Stefanou, M. Papadrakakis, Vissarion Papadopoulos
Publisher	National Technical University of Athens
Pages	45-54
Number of pages	10
ISBN (Electronic)	9786188284449
DOIs	https://doi.org/10.7712/120217.5350.17021
Publication status	Published - 2017
Externally published	Yes
Event	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017 - Rhodes Island, Greece Duration: Jun 15 2017 → Jun 17 2017

Publication series

Name	UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Volume	2017-January

Conference

Conference	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017
Country/Territory	Greece
City	Rhodes Island
Period	6/15/17 → 6/17/17

Bibliographical note

Publisher Copyright:
© 2017 The Authors.

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Keywords

Ambient Vibration Test
Bayesian
Global Mode Shape.
Modal Identification
Multiple Setups
Operational Modal Analysis
Uncertainty

Access to Document

10.7712/120217.5350.17021

Cite this

Xie, Y. L., Zhu, Y. C., & Au, S. K. (2017). Operational modal analysis of brodie tower using a Bayesian approach. In G. Stefanou, M. Papadrakakis, & V. Papadopoulos (Eds.), UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (pp. 45-54). (UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering; Vol. 2017-January). National Technical University of Athens. https://doi.org/10.7712/120217.5350.17021

Xie, Yan Long ; Zhu, Yi Chen ; Au, Siu Kui. / Operational modal analysis of brodie tower using a Bayesian approach. UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. editor / George Stefanou ; M. Papadrakakis ; Vissarion Papadopoulos. National Technical University of Athens, 2017. pp. 45-54 (UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering).

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title = "Operational modal analysis of brodie tower using a Bayesian approach",

abstract = "This paper presents a full-scale ambient vibration test and modal identification of Brodie Tower, an eight-storey office building at the University of Liverpool. Five triaxial forcebalance accelerometers were deployed. The measurement scheme comprised seven setups covering four locations on each floor, acquiring twenty minutes of ambient data for each setup. The modal properties of the building are identified using a Bayesian fast Fourier transform modal identification method incorporating multiple setup data, which accounts for the variability and the quality of data among different setups. Besides providing the estimates of modal parameters through the posterior (i.e., given data) most probable values, this method can also quantitatively assess their identification precision through the posterior covariance. The identified modal properties and their accuracy in different setups are compared and discussed. The identified global mode shapes are also compared with those obtained by global least square method. The data quality in each setup and how they affect the identification results are investigated.",

keywords = "Ambient Vibration Test, Bayesian, Global Mode Shape., Modal Identification, Multiple Setups, Operational Modal Analysis, Uncertainty",

author = "Xie, {Yan Long} and Zhu, {Yi Chen} and Au, {Siu Kui}",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017 ; Conference date: 15-06-2017 Through 17-06-2017",

year = "2017",

doi = "10.7712/120217.5350.17021",

language = "English",

series = "UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering",

publisher = "National Technical University of Athens",

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Xie, YL, Zhu, YC & Au, SK 2017, Operational modal analysis of brodie tower using a Bayesian approach. in G Stefanou, M Papadrakakis & V Papadopoulos (eds), UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, vol. 2017-January, National Technical University of Athens, pp. 45-54, 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017, Rhodes Island, Greece, 6/15/17. https://doi.org/10.7712/120217.5350.17021

Operational modal analysis of brodie tower using a Bayesian approach. / Xie, Yan Long; Zhu, Yi Chen; Au, Siu Kui.
UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. ed. / George Stefanou; M. Papadrakakis; Vissarion Papadopoulos. National Technical University of Athens, 2017. p. 45-54 (UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Xie, Yan Long

AU - Zhu, Yi Chen

AU - Au, Siu Kui

PY - 2017

Y1 - 2017

N2 - This paper presents a full-scale ambient vibration test and modal identification of Brodie Tower, an eight-storey office building at the University of Liverpool. Five triaxial forcebalance accelerometers were deployed. The measurement scheme comprised seven setups covering four locations on each floor, acquiring twenty minutes of ambient data for each setup. The modal properties of the building are identified using a Bayesian fast Fourier transform modal identification method incorporating multiple setup data, which accounts for the variability and the quality of data among different setups. Besides providing the estimates of modal parameters through the posterior (i.e., given data) most probable values, this method can also quantitatively assess their identification precision through the posterior covariance. The identified modal properties and their accuracy in different setups are compared and discussed. The identified global mode shapes are also compared with those obtained by global least square method. The data quality in each setup and how they affect the identification results are investigated.

AB - This paper presents a full-scale ambient vibration test and modal identification of Brodie Tower, an eight-storey office building at the University of Liverpool. Five triaxial forcebalance accelerometers were deployed. The measurement scheme comprised seven setups covering four locations on each floor, acquiring twenty minutes of ambient data for each setup. The modal properties of the building are identified using a Bayesian fast Fourier transform modal identification method incorporating multiple setup data, which accounts for the variability and the quality of data among different setups. Besides providing the estimates of modal parameters through the posterior (i.e., given data) most probable values, this method can also quantitatively assess their identification precision through the posterior covariance. The identified modal properties and their accuracy in different setups are compared and discussed. The identified global mode shapes are also compared with those obtained by global least square method. The data quality in each setup and how they affect the identification results are investigated.

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KW - Global Mode Shape.

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KW - Multiple Setups

KW - Operational Modal Analysis

KW - Uncertainty

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A2 - Papadopoulos, Vissarion

PB - National Technical University of Athens

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Y2 - 15 June 2017 through 17 June 2017

ER -

Xie YL, Zhu YC, Au SK. Operational modal analysis of brodie tower using a Bayesian approach. In Stefanou G, Papadrakakis M, Papadopoulos V, editors, UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. National Technical University of Athens. 2017. p. 45-54. (UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering). doi: 10.7712/120217.5350.17021

Operational modal analysis of brodie tower using a Bayesian approach

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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