Robust SHM Systems Using Bayesian Model Updating

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Externe Organisationen

  • Technische Universität Dresden
  • University of Tokyo (UTokyo)
  • The University of Liverpool
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Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 33rd International Ocean and Polar Engineering Conference, 2023
Herausgeber/-innenJin S. Chung, Decheng Wan, Satoru Yamaguchi, Shiqiang Yan, Igor Buzin, Hiroyasu Kawai, Hua Liu, Ivana Kubat, Bor-Feng Peng, Ali Reza, Venkatachalam Sriram, Suak Ho Van
Herausgeber (Verlag)International Society of Offshore and Polar Engineers
Seiten272-278
Seitenumfang7
ISBN (Print)9781880653807
PublikationsstatusVeröffentlicht - 19 Juni 2023
Veranstaltung33rd International Ocean and Polar Engineering Conference, ISOPE 2023 - Ottawa, Kanada
Dauer: 19 Juni 202323 Juni 2023

Publikationsreihe

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (elektronisch)1555-1792

Abstract

Structural Health Monitoring (SHM) is becoming increasingly important for monitoring infrastructures. However, one of the main challenges is that the changes due to aging are small, not only for structures, but also for SHM systems. Hence, the question is how should we distinguish such changes due to aging from measurement uncertainty. In this study, laser triangulation sensors (LTSs) are tested and the uncertainty due to temperature effects is studied. Furthermore, time-dependent experiments are performed and the SHM system is calibrated over time through Bayesian Model Updating, considering its temperature dependence.

ASJC Scopus Sachgebiete

Zitieren

Robust SHM Systems Using Bayesian Model Updating. / Bartels, Jan Hauke; Potthast, Thomas; Kitahara, Masaru et al.
Proceedings of the 33rd International Ocean and Polar Engineering Conference, 2023. Hrsg. / Jin S. Chung; Decheng Wan; Satoru Yamaguchi; Shiqiang Yan; Igor Buzin; Hiroyasu Kawai; Hua Liu; Ivana Kubat; Bor-Feng Peng; Ali Reza; Venkatachalam Sriram; Suak Ho Van. International Society of Offshore and Polar Engineers, 2023. S. 272-278 (Proceedings of the International Offshore and Polar Engineering Conference).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Bartels, JH, Potthast, T, Kitahara, M, Marx, S & Beer, M 2023, Robust SHM Systems Using Bayesian Model Updating. in JS Chung, D Wan, S Yamaguchi, S Yan, I Buzin, H Kawai, H Liu, I Kubat, B-F Peng, A Reza, V Sriram & SH Van (Hrsg.), Proceedings of the 33rd International Ocean and Polar Engineering Conference, 2023. Proceedings of the International Offshore and Polar Engineering Conference, International Society of Offshore and Polar Engineers, S. 272-278, 33rd International Ocean and Polar Engineering Conference, ISOPE 2023, Ottawa, Kanada, 19 Juni 2023. <https://onepetro.org/ISOPEIOPEC/proceedings-abstract/ISOPE23/All-ISOPE23/ISOPE-I-23-043/524286>
Bartels, J. H., Potthast, T., Kitahara, M., Marx, S., & Beer, M. (2023). Robust SHM Systems Using Bayesian Model Updating. In J. S. Chung, D. Wan, S. Yamaguchi, S. Yan, I. Buzin, H. Kawai, H. Liu, I. Kubat, B.-F. Peng, A. Reza, V. Sriram, & S. H. Van (Hrsg.), Proceedings of the 33rd International Ocean and Polar Engineering Conference, 2023 (S. 272-278). (Proceedings of the International Offshore and Polar Engineering Conference). International Society of Offshore and Polar Engineers. https://onepetro.org/ISOPEIOPEC/proceedings-abstract/ISOPE23/All-ISOPE23/ISOPE-I-23-043/524286
Bartels JH, Potthast T, Kitahara M, Marx S, Beer M. Robust SHM Systems Using Bayesian Model Updating. in Chung JS, Wan D, Yamaguchi S, Yan S, Buzin I, Kawai H, Liu H, Kubat I, Peng BF, Reza A, Sriram V, Van SH, Hrsg., Proceedings of the 33rd International Ocean and Polar Engineering Conference, 2023. International Society of Offshore and Polar Engineers. 2023. S. 272-278. (Proceedings of the International Offshore and Polar Engineering Conference).
Bartels, Jan Hauke ; Potthast, Thomas ; Kitahara, Masaru et al. / Robust SHM Systems Using Bayesian Model Updating. Proceedings of the 33rd International Ocean and Polar Engineering Conference, 2023. Hrsg. / Jin S. Chung ; Decheng Wan ; Satoru Yamaguchi ; Shiqiang Yan ; Igor Buzin ; Hiroyasu Kawai ; Hua Liu ; Ivana Kubat ; Bor-Feng Peng ; Ali Reza ; Venkatachalam Sriram ; Suak Ho Van. International Society of Offshore and Polar Engineers, 2023. S. 272-278 (Proceedings of the International Offshore and Polar Engineering Conference).
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title = "Robust SHM Systems Using Bayesian Model Updating",
abstract = "Structural Health Monitoring (SHM) is becoming increasingly important for monitoring infrastructures. However, one of the main challenges is that the changes due to aging are small, not only for structures, but also for SHM systems. Hence, the question is how should we distinguish such changes due to aging from measurement uncertainty. In this study, laser triangulation sensors (LTSs) are tested and the uncertainty due to temperature effects is studied. Furthermore, time-dependent experiments are performed and the SHM system is calibrated over time through Bayesian Model Updating, considering its temperature dependence.",
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note = "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).; 33rd International Ocean and Polar Engineering Conference, ISOPE 2023 ; Conference date: 19-06-2023 Through 23-06-2023",
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Download

TY - GEN

T1 - Robust SHM Systems Using Bayesian Model Updating

AU - Bartels, Jan Hauke

AU - Potthast, Thomas

AU - Kitahara, Masaru

AU - Marx, Steffen

AU - Beer, Michael

N1 - 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 - 2023/6/19

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AB - Structural Health Monitoring (SHM) is becoming increasingly important for monitoring infrastructures. However, one of the main challenges is that the changes due to aging are small, not only for structures, but also for SHM systems. Hence, the question is how should we distinguish such changes due to aging from measurement uncertainty. In this study, laser triangulation sensors (LTSs) are tested and the uncertainty due to temperature effects is studied. Furthermore, time-dependent experiments are performed and the SHM system is calibrated over time through Bayesian Model Updating, considering its temperature dependence.

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KW - Bayesian Model Updating

KW - laser triangulation sensor

KW - measurement uncertainties

KW - SHM

KW - temperature influence

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T3 - Proceedings of the International Offshore and Polar Engineering Conference

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BT - Proceedings of the 33rd International Ocean and Polar Engineering Conference, 2023

A2 - Chung, Jin S.

A2 - Wan, Decheng

A2 - Yamaguchi, Satoru

A2 - Yan, Shiqiang

A2 - Buzin, Igor

A2 - Kawai, Hiroyasu

A2 - Liu, Hua

A2 - Kubat, Ivana

A2 - Peng, Bor-Feng

A2 - Reza, Ali

A2 - Sriram, Venkatachalam

A2 - Van, Suak Ho

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Y2 - 19 June 2023 through 23 June 2023

ER -

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