Literature DB >> 33578708

Performance of Optical Structural Vibration Monitoring Systems in Experimental Modal Analysis.

Maksat Kalybek1, Mateusz Bocian1,2, Nikolaos Nikitas3.   

Abstract

Image-based optical vibration measurement is an attractive alternative to the conventional measurement of structural dynamics predominantly relying on accelerometry. Although various optical vibration monitoring systems are now readily available, their performance is currently not well defined, especially in the context of experimental modal analysis. To this end, this study provides some of the first evidence of the capability of optical vibration monitoring systems in modal identification using input-output measurements. A comparative study is conducted on a scaled model of a 3D building frame set in a laboratory environment. The dynamic response of the model to an impulse excitation from an instrumented hammer, and an initial displacement, is measured by means of five optical motion capture systems. These include commercial and open-source systems based on laser Doppler velocimetry, fiducial markers and marker-less pattern recognition. The performance of these systems is analysed against the data obtained with a set of high-precision accelerometers. It is shown that the modal parameters identified from each system are not always equivalent, and that each system has limitations inherent to its design. Informed by these findings, a guidance for the deployment of the considered optical motion capture systems is given, aiding in their choice and implementation for structural vibration monitoring.

Entities:  

Keywords:  experimental modal analysis; modal testing; optical systems; structural health monitoring; vibration measurement

Year:  2021        PMID: 33578708     DOI: 10.3390/s21041239

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Operational Deflection Shapes Magnification and Visualization Using Optical-Flow-Based Image Processing.

Authors:  Adam Machynia; Ziemowit Dworakowski; Kajetan Dziedziech; Paweł Zdziebko; Jarosław Konieczny; Krzysztof Holak
Journal:  Sensors (Basel)       Date:  2021-12-14       Impact factor: 3.576

2.  Low-Cost Wireless Structural Health Monitoring of Bridges.

Authors:  Seyedmilad Komarizadehasl; Fidel Lozano; Jose Antonio Lozano-Galant; Gonzalo Ramos; Jose Turmo
Journal:  Sensors (Basel)       Date:  2022-07-30       Impact factor: 3.847

  2 in total

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