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Erschienen in:

2014 | OriginalPaper | Buchkapitel

15. Automated Modal Parameter Extraction and Statistical Analysis of the New Carquinez Bridge Response to Ambient Excitations

verfasst von : Yilan Zhang, Moritz Häckell, Jerome P. Lynch, Raimund Rolfes

Erschienen in: Model Validation and Uncertainty Quantification, Volume 3

Verlag: Springer International Publishing

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Abstract

Modal characteristics including modal frequency, modal damping and mode shape are important structural parameters widely used in the design and analysis of structures. For example, modal parameters are valuable for calculating the dynamic response and capacity of a structure, updating finite element models and validating design assumptions. With the assistance of a vibration-based structural monitoring system, modal characteristics of an operational structure can be extracted in an autonomous fashion using output-only modal analysis techniques. If monitored over long periods of time, the modal properties of a structure can be tracked to determine the dependence between modal properties and other parameters such as environmental and load parameters. In this paper, modal parameters are autonomously extracted from 1 year’s worth of response data collected by the long-term structural monitoring system installed on the New Carquinez Bridge, a long-span suspension bridge constructed in 2003 in a seismic region of California. Two methods of parameter extraction are adopted using stochastic subspace identification: knowledge-based extraction and triangulation-based extraction. Statistical studies are performed on the extracted bridge modal parameters to quantify their distributions and to model their relationships with environment parameters.

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Titel: Automated Modal Parameter Extraction and Statistical Analysis of the New Carquinez Bridge Response to Ambient Excitations
verfasst von: Yilan Zhang
Moritz Häckell
Jerome P. Lynch
Raimund Rolfes
Verlag: Springer International Publishing
Buch: Model Validation and Uncertainty Quantification, Volume 3
Print ISBN: 978-3-319-04551-1

Electronic ISBN: 978-3-319-04552-8

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-04552-8_15

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