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Vibration energy harvesting based monitoring of an operational bridge undergoing forced vibration and train passage
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Structural Engineering and Bridges.ORCID iD: 0000-0002-5447-2068
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2018 (English)In: Mechanical systems and signal processing, ISSN 0888-3270, E-ISSN 1096-1216, Vol. 106, p. 265-283Article in journal (Refereed) Published
Abstract [en]

The application of energy harvesting technology for monitoring civil infrastructure is a bourgeoning topic of interest. The ability of kinetic energy harvesters to scavenge ambient vibration energy can be useful for large civil infrastructure under operational conditions, particularly for bridge structures. The experimental integration of such harvesters with full scale structures and the subsequent use of the harvested energy directly for the purposes of structural health monitoring shows promise. This paper presents the first experimental deployment of piezoelectric vibration energy harvesting devices for monitoring a fullscale bridge undergoing forced dynamic vibrations under operational conditions using energy harvesting signatures against time. The calibration of the harvesters is presented, along with details of the host bridge structure and the dynamic assessment procedures. The measured responses of the harvesters from the tests are presented and the use the harvesters for the purposes of structural health monitoring (SHM) is investigated using empirical mode decomposition analysis, following a bespoke data cleaning approach. Finally, the use of sequential Karhunen Loeve transforms to detect train passages during the dynamic assessment is presented. This study is expected to further develop interest in energy harvesting based monitoring of large infrastructure for both research and commercial purposes.

Place, publisher, year, edition, pages
Academic Press, 2018. Vol. 106, p. 265-283
Keyword [en]
Energy harvesting, Bridge structure, Full-scale testing, Structural health monitoring, Empirical mode decomposition, Scalogram, Sequential Karhunen Loeve transform, Hilbert transform
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-224670DOI: 10.1016/j.ymssp.2018.01.007ISI: 000426229100018Scopus ID: 2-s2.0-85041557441OAI: oai:DiVA.org:kth-224670DiVA, id: diva2:1192317
Note

QC 20180322

Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved

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Karoumi, Raid

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
  • Other style
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  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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