Dynamic data

Sandra Myrtue

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Dynamic data refers to measurements of the motion and deformation of a structure under various loading conditions, such as wind, vehicles, or earthquakes. These measurements can include displacement, velocity, acceleration, and frequency, and can be obtained using sensors such as accelerometers, displacement transducers, and strain gauges. Dynamic data is used to understand the behavior of a structure under different loads, and can be used to identify potential issues or damage, and to monitor the effectiveness of repairs or retrofits.

Dynamic data is necessary when you need to work with calculating fatigue from vehicles, displacement from accelerometers, water levels when there are waves in the water, vibration analysis, and much more.

The line between dynamic data and static data is not a strict threshold, but in general dynamic refers to any data close to or above 1 Hz of sampling. In some scenarios such as huge constructions oscillations can have frequencies below 0.1 Hz (one oscillation every 10 seconds). Here measuring the movement is still considered dynamic and can be analyzed with frequency analysis.

Dynamic data analysis in structural health monitoring includes subjects such as:

  • Modal analysis
  • Fatigue analysis
  • Vibration
  • FFT (Fast Fourier Transform)
  • Wave analysis (wave period, spectrum, height, level)
  • Weight in motion
  • Mechanical system performance (windmills, TMDs, industrial machinery)
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