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Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference
- This work presents a robust status monitoring approach for detecting damage in cantilever structures based on logistic functions. Also, a stochastic damage identification approach based on changes of eigenfrequencies is proposed. The proposed algorithms are verified using catenary poles of electrified railways track. The proposed damage features overcome the limitation of frequency-based damageThis work presents a robust status monitoring approach for detecting damage in cantilever structures based on logistic functions. Also, a stochastic damage identification approach based on changes of eigenfrequencies is proposed. The proposed algorithms are verified using catenary poles of electrified railways track. The proposed damage features overcome the limitation of frequency-based damage identification methods available in the literature, which are valid to detect damage in structures to Level 1 only. Changes in eigenfrequencies of cantilever structures are enough to identify possible local damage at Level 3, i.e., to cover damage detection, localization, and quantification. The proposed algorithms identified the damage with relatively small errors, even at a high noise level.…
Document Type: | Doctoral Thesis |
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Author: | Dr.-Ing. Feras AlkamORCiDGND |
DOI (Cite-Link): | https://doi.org/10.25643/bauhaus-universitaet.4433Cite-Link |
URN (Cite-Link): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20210526-44338Cite-Link |
URL: | https://asw-verlage.de/katalog/vibration_based_monitoring_of_co-2363.html |
Publisher: | Bauhaus-Universitätsverlag |
Place of publication: | Weimar |
Referee: | Prof. Dr.-Ing. Matthias KrausORCiDGND, Prof. Isabel Maria Simões Pereira |
Advisor: | Prof. rer. nat. Tom LahmerORCiDGND |
Language: | English |
Date of Publication (online): | 2021/05/07 |
Date of first Publication: | 2021/05/07 |
Date of final exam: | 2021/02/16 |
Release Date: | 2021/05/26 |
Publishing Institution: | Bauhaus-Universität Weimar |
Granting Institution: | Bauhaus-Universität Weimar, Fakultät Bauingenieurwesen |
Institutes and partner institutions: | Fakultät Bauingenieurwesen / Institut für Strukturmechanik (ISM) |
Fakultät Bauingenieurwesen / Graduiertenkolleg 1462 | |
Fakultät Bauingenieurwesen / Professur Stochastik und Optimierung | |
Volume: | 2021 |
Pagenumber: | 177 |
Tag: | Bayes’schen Inferenz; Inverse Probleme; Oberleitungsmasten; Schadenerkennung; Unschärfequantifizierung Bayesian Inference, Uncertainty Quantification; Concrete catenary pole; Damage Identification; Inverse Problems; SHM |
GND Keyword: | Parameteridentifikation |
Dewey Decimal Classification: | 500 Naturwissenschaften und Mathematik |
600 Technik, Medizin, angewandte Wissenschaften | |
BKL-Classification: | 56 Bauwesen |
Licence (German): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |