Details
| Original language | English |
|---|---|
| Title of host publication | Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023 |
| Editors | Fabio Biondini, Dan M. Frangopol |
| Pages | 662-669 |
| Number of pages | 8 |
| Publication status | Published - 2023 |
| Event | 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023 - Milan, Italy Duration: 2 Jul 2023 → 6 Jul 2023 |
Publication series
| Name | Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023 |
|---|
Abstract
Monitoring is becoming increasingly important for the condition assessment of structures, as it allows continuous assessment. The aim is to identify changes in the condition of the structure that cannot be detected by purely visual inspection. In this paper, a typical measurement system used in practice is investigated under laboratory conditions with regard to its temperature dependence. A method for temperature compensation of laser distance measurements is presented and a Bayesian model updating is applied, with which a temperature compensation function over time can be determined semi-automatically. It is shown that the temperature-dependent transfer function should first be generated at the structure in order to perform a reliable temperature compensation. Furthermore, the application of Bayesian Model Updating shows a reliable fit of the temperature-dependent transfer function over time, so that the engineer is provided with a helpful tool for semi-automated temperature compensation in the case of time-variant behavior.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
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Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023. ed. / Fabio Biondini; Dan M. Frangopol. 2023. p. 662-669 (Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Environmental influence on structural health monitoring systems
AU - Bartels, J. H.
AU - Kitahara, M.
AU - Marx, S.
AU - Beer, M.
N1 - Funding Information: This research was funded by the German Research Foundation (DFG), as part of the Collaborative Research Centre 1463 (SFB 1463) “Integrated Design and Operation Methodology for Offshore Megastructures” (subproject C01, project number 434502799)
PY - 2023
Y1 - 2023
N2 - Monitoring is becoming increasingly important for the condition assessment of structures, as it allows continuous assessment. The aim is to identify changes in the condition of the structure that cannot be detected by purely visual inspection. In this paper, a typical measurement system used in practice is investigated under laboratory conditions with regard to its temperature dependence. A method for temperature compensation of laser distance measurements is presented and a Bayesian model updating is applied, with which a temperature compensation function over time can be determined semi-automatically. It is shown that the temperature-dependent transfer function should first be generated at the structure in order to perform a reliable temperature compensation. Furthermore, the application of Bayesian Model Updating shows a reliable fit of the temperature-dependent transfer function over time, so that the engineer is provided with a helpful tool for semi-automated temperature compensation in the case of time-variant behavior.
AB - Monitoring is becoming increasingly important for the condition assessment of structures, as it allows continuous assessment. The aim is to identify changes in the condition of the structure that cannot be detected by purely visual inspection. In this paper, a typical measurement system used in practice is investigated under laboratory conditions with regard to its temperature dependence. A method for temperature compensation of laser distance measurements is presented and a Bayesian model updating is applied, with which a temperature compensation function over time can be determined semi-automatically. It is shown that the temperature-dependent transfer function should first be generated at the structure in order to perform a reliable temperature compensation. Furthermore, the application of Bayesian Model Updating shows a reliable fit of the temperature-dependent transfer function over time, so that the engineer is provided with a helpful tool for semi-automated temperature compensation in the case of time-variant behavior.
UR - http://www.scopus.com/inward/record.url?scp=85182230079&partnerID=8YFLogxK
U2 - 10.1201/9781003323020-80
DO - 10.1201/9781003323020-80
M3 - Conference contribution
AN - SCOPUS:85182230079
SN - 9781003323020
T3 - Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
SP - 662
EP - 669
BT - Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
A2 - Biondini, Fabio
A2 - Frangopol, Dan M.
T2 - 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
Y2 - 2 July 2023 through 6 July 2023
ER -