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.show moreshow less

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Document Type:Doctoral Thesis
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 KrausGND, Prof. Isabel Maria Simões Pereira
Advisor:Prof. rer. nat. Tom LahmerGND
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
Fakultät Bauingenieurwesen / Graduiertenkolleg 1462
Fakultät Bauingenieurwesen / Juniorprofessur 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):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)