A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 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.
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 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.
Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference
Alkam, Feras (author) / Lahmer, Tom (tutor) / Kraus, Matthias (tutor) / Pereira, Isabel Maria Simões (tutor) / Bauhaus-Universität Weimar (degree granting institution)
2021
1 Online-Ressource (178 Seiten)
Illustrationen, Diagramme
Theses
Electronic Resource
English
DDC:
624
Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference
| TIBKAT | 2021
Eigenfrequency-Based Bayesian Approach for Damage Identification in Catenary Poles
| DOAJ | 2021
MOVABLE CATENARY SYSTEM WITH LIFTABLE SUPPORT POLES FOR CONTAINER TRANSPORTATION
| European Patent Office | 2016
The new overhead catenary poles system C for long-distance railways
| British Library Online Contents | 1998