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Modal parameters identification using asynchronous data

Frigui, Farouk and Judenherc, Sébastien and Faye, Jean-Pierre and Dalverny, Olivier Modal parameters identification using asynchronous data. (2020) In: 7th International Conference Integrity-Reliability-Failure, 6 September 2020 - 10 September 2020 (Funchal, Portugal).

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Abstract

Operational Modal Analysis (OMA) allows one to identify the modal parameters (e.g., natural frequencies, damping ratios and mode shapes) of structure from its output-only response to ambient excitations. Modal parameters are often studied to provide information for Structural Health Monitoring (SHM): model updating, damage detection, damage localization and quantification. In vibration tests, multiple sensors are used to obtain detailed mode shape information and eigen-frequencies. Time synchronization among data channels is normally required in conventional modal identification approaches. If modal parameters can be identified precisely using asynchronous data, modal analysis tests can be more flexibly and economically conducted. In this paper, the effect of asynchronous data on operational modal analysis is investigated.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-03114978
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > STANEO (FRANCE)
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Deposited On:19 Jan 2021 11:34

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