Analysis of the annual variations in the dynamic behavior of a ballasted railway bridge using Hilbert transform

• The Skidträsk Bridge exhibits different dynamic behaviors during the summer and winter.
• The Hilbert transform was used to analyze free vibration signals from both seasons.
• The damping and frequency was studied for both seasons for the first bending and torsion modes.
• Important seasonal differences were found in both quantities: damping and eigenfrequency.
• Their mean value, scatter and amplitude dependence were characterized using Hilbert Transform.

In this paper the variations in dynamic properties (eigenfrequency and damping) due to seasonal effects of a single span, ballasted railway bridge are studied. It is demonstrated that both the eigenfrequency and characteristic damping vary importantly with environmental conditions and amplitude of vibration. For this, acceleration signals corresponding to roughly a year of monitoring are analyzed with the Hilbert transform and the instantaneous frequency and equivalent viscous damping ratio are calculated during the free vibrations. Over 1000 trains passages were analyzed, with temperatures ranging from -30-30 to +30 °C and amplitudes of vibration varying from 0.5 m/s2 to 0. The location of the accelerometers allowed for separation of the signals into their bending and torsional components. It was found that during the cold season, with months of temperatures below 0 °C, the dynamic properties varied the most. Not only did the frequencies (for small vibrations) differ more than 9% even for a given temperature, but the non-linearity present in the structure did also change in a matter of hours. These findings are important in the context of Structural Health Monitoring. Any system that aims at warning early in the onset of damage by analyzing changes in the dynamic characteristic of a structure needs to first fully understand and account for the natural variability of these parameters, often much larger than what could be expected from reasonable levels of damage.