PSI - Issue 64

First page Table of contents Previous page 2086 Next page Last page

ScienceDirect Structural Integrity Procedia 00 (2023) 000 – 000 Structural Integrity Procedia 00 (2023) 000 – 000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 64 (2024) 1256–1263

SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures System identification and monitoring of bridge structures Maximilian Rohrer, Max Moeller, Armin Lenzen* I4S, University of Applied Sciences Leipzig, Karl-Liebknecht-Straße 132, 04277 Leipzig, Germany Abstract The research presented is part of the SPP100+ of the German Research Foundation. Subject of the research is the early detection of damage, especially on large bridge structures. For this purpose, investigations are carried out at the technical center of the I4S, in particular to take into account the environmental conditions (EOC) in the context of system identification of mechanical structures. The lifetime of the considered structures is divided into macro and micro time domains. In the micro time domain, state space models serve as a basis for damage localization. The parameters of the models are estimated based on output-only methods and 2 / ∞ optimization. The damage localization is done by SP2E, the state projection estimation error method in conjunction with a machine learning method, for the categorization of the EOC. This paper presents the monitoring method in micro time domain of lifetime and first results of experimental investigation and vibration-based output-only measurements at the bridge Floßgrabenbrücke. © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers Keywords: system identification; subspace method; 2 / ∞ optimization; SHM 1. Introduction Structural health monitoring (SHM) is an active research field and is used for the early detection of damage. As the research field of non-destructive testing was first addressed around 40 years ago, various SHM methods exist. Exemplary and promising methods include ultrasonic coda wave interferometry (CWI) FOR 2825 by Niederleithinger et al. (2020), Holla et al. (2021) or Sheng-Wang (2007), geodetic investigations by Mililo et al. (2019), fiber optic measurement methods (Mitzkus et al. (2019)) and acoustic emission analysis by Bösche et al. (2021). SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures System identification and monitoring of bridge structures Maximilian Rohrer, Max Moeller, Armin Lenzen* I4S, University of Applied Sciences Leipzig, Karl-Liebknecht-Straße 132, 04277 Leipzig, Germany Abstract The research presented is part of the SPP100+ of the German Research Foundation. Subject of the research is the early detection of damage, especially on large bridge structures. For this purpose, investigations are carried out at the technical center of the I4S, in particular to take into account the environmental conditions (EOC) in the context of system identification of mechanical structures. The lifetime of the considered structures is divided into macro and micro time domains. In the micro time domain, state space models serve as a basis for damage localization. The parameters of the models are estimated based on output-only methods and 2 / ∞ optimization. The damage localization is done by SP2E, the state projection estimation error method in conjunction with a machine learning method, for the categorization of the EOC. This paper presents the monitoring method in micro time domain of lifetime and first results of experimental investigation and vibration-based output-only measurements at the bridge Floßgrabenbrücke. © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers Keywords: system identification; subspace method; 2 / ∞ optimization; SHM 1. Introduction Structural health monitoring (SHM) is an active research field and is used for the early detection of damage. As the research field of non-destructive testing was first addressed around 40 years ago, various SHM methods exist. Exemplary and promising methods include ultrasonic coda wave interferometry (CWI) FOR 2825 by Niederleithinger et al. (2020), Holla et al. (2021) or Sheng-Wang (2007), geodetic investigations by Mililo et al. (2019), fiber optic measurement methods (Mitzkus et al. (2019)) and acoustic emission analysis by Bösche et al. (2021). © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers

* Corresponding author. Tel.: +49-341-30766253 E-mail address: armin.lenzen@htwk-leipzig.de * Corresponding author. Tel.: +49-341-30766253 E-mail address: armin.lenzen@htwk-leipzig.de

2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers 2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers

Made with FlippingBook Digital Proposal Maker