|Title:||Fatigue life evaluation of high-speed train bogies using in-service monitoring data of strain|
|Advisors:||Ni, Y. Q. (CEE)|
|Subject:||Hong Kong Polytechnic University -- Dissertations|
High speed trains
Railroads -- Maintenance and repair
Railroads -- Equipment and supplies -- Safety measures
|Department:||Faculty of Construction and Environment|
|Pages:||65 pages : color illustrations|
|Abstract:||The welded joint of high-speed train bogie suffered from complex stress conditions is influenced by fatigue effect during train operation. By combination of the technique of structural health monitoring (SHM) systems and the classical fatigue life assessment method using S-N curve and Miner's rule, the fatigue life prediction based on in-service monitoring data is available. And systematic fatigue life assessment approach is explored on progress. In this study, the strain data of train bogie measured by fiber Bragg grating (FBG) sensors is collected during train operation on a high-speed railway in China to perform in-service data analysis and fatigue life prediction. First, the basic characteristics of the monitoring strain data is analyzed, along with measured temperature change data, the mechanical strain time history is derived. Then, the mechanical strain data is converted into stress data to construct stress spectra for each trip and route sections respectively. Statistical analysis of stress spectra is followed to reveal the similarity of stress spectra as well as the differences of stress spectra of different route sections. After observation and analysis of stress spectra, the fatigue life assessment is performed and the predicted fatigue life of the welded component is given with confidence interval. Finally, the findings are summarized that route condition plays an important role affecting the fatigue damage of high-speed train bogie.|
|Rights:||All rights reserved|
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