SSI-COV method applied to ambient vibrations of a concrete block of a dam: Uncertainty of modal parameters

Yeny V. Ardila-Ardila; Iván D. Gómez; Jesús Daniel Villalba Morales; Luis A. Aracayo

SSI-COV method applied to ambient vibrations of a concrete block of a dam: Uncertainty of modal parameters

Yeny V. Ardila-Ardila
, Iván D. Gómez
, Jesús Daniel Villalba Morales
, Luis A. Aracayo

Department of Civil Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Due to advances and automation in operational modal analysis (OMA) methods, it is possible to extract
modal parameters (natural frequencies, damping ratios and vibration modes) in a quick and easy way solely from
data collected during operation. However, one of the shortcomings of these methods lies in the assessment of the
accuracy of the information obtained. In this work, the uncertainty in the identified modal data is quantified by
calculating confidence intervals using the Bootstrap technique. The modal parameters of a concrete block of a dam
are identified through the application of the SSI-COV method to acceleration measurements from a triaxial sensor
installed in the block. Then, the bootstrap technique is applied and a comparison is made between three common
methods of resampling the time series based on nonrandom as well as random block lengths.

Original language	English
State	Published - 2020
Event	XLI Ibero-Latin American Congress on Computational Methods in Engineering - Foz do Iguacu, Brazil Duration: 16 Nov 2020 → …

Conference

Conference	XLI Ibero-Latin American Congress on Computational Methods in Engineering
Country/Territory	Brazil
City	Foz do Iguacu
Period	16/11/20 → …

Cite this

@conference{45d08c6547774e02b2da5f1555543d4b,

title = "SSI-COV method applied to ambient vibrations of a concrete block of a dam: Uncertainty of modal parameters",

abstract = "Due to advances and automation in operational modal analysis (OMA) methods, it is possible to extract modal parameters (natural frequencies, damping ratios and vibration modes) in a quick and easy way solely from data collected during operation. However, one of the shortcomings of these methods lies in the assessment of the accuracy of the information obtained. In this work, the uncertainty in the identified modal data is quantified by calculating confidence intervals using the Bootstrap technique. The modal parameters of a concrete block of a dam are identified through the application of the SSI-COV method to acceleration measurements from a triaxial sensor installed in the block. Then, the bootstrap technique is applied and a comparison is made between three common methods of resampling the time series based on nonrandom as well as random block lengths.",

author = "Ardila-Ardila, \{Yeny V.\} and G{\'o}mez, \{Iv{\'a}n D.\} and \{Villalba Morales\}, \{Jes{\'u}s Daniel\} and Aracayo, \{Luis A.\}",

year = "2020",

language = "English",

note = "XLI Ibero-Latin American Congress on Computational Methods in Engineering ; Conference date: 16-11-2020",

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SSI-COV method applied to ambient vibrations of a concrete block of a dam: Uncertainty of modal parameters. / Ardila-Ardila, Yeny V.; Gómez, Iván D.; Villalba Morales, Jesús Daniel et al.
2020. Paper presented at XLI Ibero-Latin American Congress on Computational Methods in Engineering, Foz do Iguacu, Brazil.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - SSI-COV method applied to ambient vibrations of a concrete block of a dam: Uncertainty of modal parameters

AU - Ardila-Ardila, Yeny V.

AU - Gómez, Iván D.

AU - Villalba Morales, Jesús Daniel

AU - Aracayo, Luis A.

PY - 2020

Y1 - 2020

N2 - Due to advances and automation in operational modal analysis (OMA) methods, it is possible to extract modal parameters (natural frequencies, damping ratios and vibration modes) in a quick and easy way solely from data collected during operation. However, one of the shortcomings of these methods lies in the assessment of the accuracy of the information obtained. In this work, the uncertainty in the identified modal data is quantified by calculating confidence intervals using the Bootstrap technique. The modal parameters of a concrete block of a dam are identified through the application of the SSI-COV method to acceleration measurements from a triaxial sensor installed in the block. Then, the bootstrap technique is applied and a comparison is made between three common methods of resampling the time series based on nonrandom as well as random block lengths.

AB - Due to advances and automation in operational modal analysis (OMA) methods, it is possible to extract modal parameters (natural frequencies, damping ratios and vibration modes) in a quick and easy way solely from data collected during operation. However, one of the shortcomings of these methods lies in the assessment of the accuracy of the information obtained. In this work, the uncertainty in the identified modal data is quantified by calculating confidence intervals using the Bootstrap technique. The modal parameters of a concrete block of a dam are identified through the application of the SSI-COV method to acceleration measurements from a triaxial sensor installed in the block. Then, the bootstrap technique is applied and a comparison is made between three common methods of resampling the time series based on nonrandom as well as random block lengths.

M3 - Paper

T2 - XLI Ibero-Latin American Congress on Computational Methods in Engineering

Y2 - 16 November 2020

ER -

SSI-COV method applied to ambient vibrations of a concrete block of a dam: Uncertainty of modal parameters

Abstract

Conference

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