Abstract
Prestressed concrete poles nowadays are widely used in supporting the catenary cables of train systems. Compared to their importance to the functionality of the train system, this type of structures have not yet received adequate attention from researchers. We have started tracing the changes in the dynamic behavior of these poles caused by the train passing and the degradation of the materials over a long-time period. In this aim, we installed a structural monitoring system on three of them along one of the high-speed train tracks in Germany. The efficient analysis of the recorded measurements by this system requires a well-known data covering the real material properties of the given structures considering uncertainties of the different parameters. In this paper, we inversely identify the material properties of the poles using deterministic and probabilistic approaches based on the experimental measurements of a full-scale structure and Finite Elements Models. In the deterministic approach, the parameters are identified using the simplex optimization algorithm. Uncertainty of the identified parameters is quantified using a Markov Estimator. In the probabilistic approach, Bayesian inference is utilized for better estimation of the probability distribution of the parameters. Both approaches are suitable for the estimation of mean values of the parameters. The Bayesian method, even though computationally more demanding, is additionally suitable for determining the probability distributions and quantifying the uncertainties of the identified parameters and the correlations between each pair of them. The results show the efficiency of each approach to identify the parameters of the poles. For a rough estimation of the mean values, we recommend the deterministic approach as a simple tool. Conversely, the Bayesian approach is recommended for more detailed and accurate estimation.
Highlights
The catenary systems of electric trains are suspended by structural members, called poles, installed at equal-spaced distances along the train-track
We choose two different approaches: The deterministic approach based on minimizing the least square errors, and the probabilistic approach based on Bayesian inference
The deterministic and Bayesian approaches are implemented to identify the parameters of the given structure
Summary
The catenary systems of electric trains are suspended by structural members, called poles, installed at equal-spaced distances along the train-track. They play a vital role in the entire train system, as any damage to one of these members leads to diffeculties in the functionality of the whole system. The static actions, seasonal ambient temperature, and the wind effects; trains passing near the poles causes a transient excitation. Due to this transient excitation, the poles often vibrate in a complex form. The vibrations that travel through the foundation caused by the interaction between the train wheels and the sub-base of the track
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