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Vibration-based damage detection of structural joints in presence of uncertainty

Al-Bugharbee, H; Abolfathi, A; Trendafilova, I; (2017) Vibration-based damage detection of structural joints in presence of uncertainty. In: Proceedings of the International Conference on Engineering Vibration 2017. International Conference on Engineering Vibration: Sofia, Bulgaria. (In press). Green open access

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Abstract

Early damage detection of structure’s joints is essential in order to ensure the integrity of structures. Vibration-based methods are the most popular way of diagnosing damage in machinery joints. Any technique that is used for such a purpose requires dealing with the variability inherent to the system due to manufacturing tolerances, environmental conditions or aging. The level of variability in vibrational response can be very high for mass-produced complex structures that possess a large number of components. In this study, a simple and efficient time frequency method is proposed for detection of damage in connecting joints. The method suggests using singular spectrum analysis for building a reference space from the signals measured on a healthy structure and then compares all other signals to that reference space in order to detect the presence of faults. A model of two plates connected by a series of mounts is used to examine the effectiveness of the method where the uncertainty in the mount properties is taken into account to model the variability in the built-up structure. The motivation behind the simplified model is to identify the faulty mounts in trim-structure joints of an automotive vehicle where a large number of simple plastic clips are used to connect the trims to the vehicle structure.

Type: Proceedings paper
Title: Vibration-based damage detection of structural joints in presence of uncertainty
Event: International Conference on Engineering Vibration 2017
Location: Sofia-Bulgaria
Dates: 04 September 2017 - 07 September 2017
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.icoev2017.org/ocs/index.php/icoev/ICOEV...
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10038223
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