A robust method of the status monitoring of catenary poles installed along high-speed electrified train tracks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Results in Engineering, 2021, volume 12, article 100289, S. 1-8
- Schlagwort
-
Fahrleitung
Schaden
- Ereignis
-
Veröffentlichung
- (wo)
-
Weimar
- (wer)
-
Bauhaus-Universität Weimar
- (wann)
-
2021
- Urheber
- URN
-
urn:nbn:de:gbv:wim2-20211011-45212
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Alkam, Feras
- Lahmer, Tom
- Bauhaus-Universität Weimar
Entstanden
- 2021
Ähnliche Objekte (12)
Forward and inverse problems in piezoelectricity
FEM-Based determination of real and complex elastic, dielectric, and piezoelectric moduli in piezoceramic materials
Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference
Shape Optimization Design of Arch Type Dams under Uncertainties
Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model
Dependency of the influence of input parameters of BVI models on the initial excitations and speed ranges
High-speed vessel moving along the edge of ice field
Assessment of Numerical Prediction Models for Aeroelastic Instabilities of Bridges
Combined approach for optimal sensor placement and experimental verification in the context of tower-like structures
International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering : July 20 - 22 2015, Bauhaus-University Weimar
An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression
Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network
Forward and inverse problems in piezoelectricity
FEM-Based determination of real and complex elastic, dielectric, and piezoelectric moduli in piezoceramic materials
Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference
Shape Optimization Design of Arch Type Dams under Uncertainties
Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model
Dependency of the influence of input parameters of BVI models on the initial excitations and speed ranges
High-speed vessel moving along the edge of ice field
Assessment of Numerical Prediction Models for Aeroelastic Instabilities of Bridges
Combined approach for optimal sensor placement and experimental verification in the context of tower-like structures
International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering : July 20 - 22 2015, Bauhaus-University Weimar
An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression
Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network
Forward and inverse problems in piezoelectricity
FEM-Based determination of real and complex elastic, dielectric, and piezoelectric moduli in piezoceramic materials
Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference
Shape Optimization Design of Arch Type Dams under Uncertainties
Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model
Dependency of the influence of input parameters of BVI models on the initial excitations and speed ranges
High-speed vessel moving along the edge of ice field
Assessment of Numerical Prediction Models for Aeroelastic Instabilities of Bridges
Combined approach for optimal sensor placement and experimental verification in the context of tower-like structures
International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering : July 20 - 22 2015, Bauhaus-University Weimar
An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression