Using approximately synchronised accelerometers to identify mode shapes: A case study

W. K. Ao*, D. Hester, Connor O'Higgins

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With advances in technology approaches for capturing acceleration data for a modal test on civil engineering structures is changing rapidly. This paper presents a study carried out to examine the feasibility of using a number of independent acceleration recorders to capture the mode shapes of a tied arch highway bridge. The acceleration recorders used comprise a MEMS accelerometer mounted on a circuit board, where data from the accelerometer is read to a memory card on the circuit board. These devices are intended to measure acceleration however, to calculate mode shapes the individual recorders need to be synchronised. For conventional sensing system this is easily achieved as data from all sensors is being recorded by a central data logger. For individual recorders this is not the case, i.e. each recorder is logging the data directly to its own memory. Where a unique identifier (i.e. clapper board type event) can be implemented simultaneously at the start of all the recorder signals this will allow the signals be lined up in post processing. However, there is no guarantee that the signals won't drift from one another subsequently. While the potential loss in synchronisation is a problem, gathering the necessary acceleration data using independent recorders is vastly easier than using a wired system. This paper shows for the tied arch highway bridge used in the study the independent recorders provided a very good estimation of the bridge mode shapes.

Original languageEnglish
Title of host publication9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Subtitle of host publicationTransferring Research into Practice, SHMII 2019 - Conference Proceedings
EditorsGenda Chen, Sreenivas Alampalli
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages596-601
Number of pages6
ISBN (Electronic)9780000000002
Publication statusPublished - 2019
Event9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - St. Louis, United States
Duration: 04 Aug 201907 Aug 2019

Publication series

Name9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings
Volume1

Conference

Conference9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019
CountryUnited States
CitySt. Louis
Period04/08/201907/08/2019

Bibliographical note

Funding Information:
The authors would like to acknowledge the financial support provided by UK Engineering and Physical Sciences Research Council (EPSRC) through a Leadership Fellowship Grant (Ref. EP/R009635/1) entitled "Advanced Sensors and Modelling for Next-generation Bridge Management".

Publisher Copyright:
© 2019 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings. All rights reserved.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Building and Construction

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