Seismic Safety Evaluation of High - speed Trains Considering the Characteristics of Track Spectrum
GUO En - dong1，ZHANG Shu - qiang1，HE Qian2
(1. Key Laboratory of Eartliquake Engineering and Engineering VilDration，Institute of Engineering Mechanics， China Earthquake Administration，Harbin，Heilongjiang 150080，China; 2. Guangzhou Municipal Development and Reform Commission，Guangziiou，Guangdong 510000，China)
Abstract：Abstract ： Research purposes ： Track irregularity is the main cause of vertical vibration in the process of high – speed train operation. The track spectra can be used to describe the characteristics and rules of track irregularity from two aspects of wavelength and amplitude. In order to analyze the influence of different track spectra on the running safety of domestic high - speed trains under seismic action， the dynamic model of high - speed train - track coupled system is established，used China high - speed railway ’ s track spectrum and German low - disturbing spectrum as the track irregularity power. Based on the dynamics theory of t!ie train - track coupled system， the typical seismic oscillation is selected as the external incentive to calculate the indexes of the train’s running safety under different seismic intensities. Research conclusions ：( 1 ) The asessment of the running safety of high - speed trains under seismic action with Germany low - disturbing spectrum is more conservative than China high - speed railway spectrum. But their difference recedes with the increasing of the seismic oscillation. ( 2 ) China high - speed railway statistical spectrum should be consummated and applied on the assessment of running safety of high - speed trains under t!ie seismic action which could enhance the transporting efficiency of the high - speed railway and ensure the running safety of the trains. ( 3 ) This research can be regarded as a reference for the evaluation of the running safety of high - speed trains in China and reasonable determination of the earthquake alarm threshold of the high - speed railway in China.
2017, Vol. 34 
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