ICF13B

13th International Conference on Fracture June 16–21, 2013, Beijing, China -4- 1 2 2 1 1 ( )( ) ( ) ( ) n Si S I i I i n n Si S I i i i F F F F F F F F             (18) where, Si F is the SIMPACK simulation value at each time point, I i F is the identification value at each time point, SF is the standardization variables of the SIMPACK simulation value, IF is the standardization variables of the identification value. 3. Laboratory verification First, a laboratory test is performed at TPL at Southwest Jiaotong University using the rolling and vibrating test-bed. The car body vertical acceleration, two bogie frames accelerations and four axle boxes accelerations are measured. Unfortunately, because of the limitation of test conditions, we can not measure the vertical and lateral interface forces directly. So we use a set of measured vertical acceleration response as inputs into the inverse vehicle model to identify other components of the vehicle acceleration responses, and compare with the measured results, by this way to verify the inversion model. Test scenario is shown in Figure 1, the velocity of the rolling and vibrating test-bed is 250 km/h, the form of rail incentive is actual measured line spectrum of Wu-Guang line. Figure 1. Test scene of the rolling and vibrating test-bed Using car body, two bogie frames and the first axle box (numbered from left to right) measured vertical acceleration as input into the inverse vehicle model, the fourth axle box acceleration response and the fourth wheel-set vertical force are identified. See figures 2 and 3.

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