Ground Vibrations

| Compilation of ground motion measurements

Fouriertransform.

Data Analysis of Seismic Measurements

Compilation of ground motion measurements

Data Analysis of Seismic Measurements

Seismic sensors measure the ground acceleration

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Figure 1 shows the principle layout of a velocity broadband seismometer. A feedback loop with a force transducer compensates the ground acceleration acting on the
seismic mass. The feedback current is proportional to the ground acceleration. The
voltage across the capacitor C is a time integral of the current, and thus proportional
to the ground velocity. This voltage serves as the output

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Figure 1 One channel of a velocity broadband seismometer feedback circuit1 signal.

The seismometer constant cs is the output voltage Ui per ground velocity dxi /dt.

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Presently we are using only three channel sensors with a 24 bit digitizer (1.282 µV/bit)

without amplifier , 200 Hz sampling rate and a seismometer constant of 2 961 V/m/s.

Every minute the data of all three components are stored in a data file. The format of

the eight digit filename is mmddhhmm.prn (mm = month, dd = day, hh = hour and

mm = minute). Table 1 shows a sample file partly.

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Table 1 Clipping of a data file (06161224.prn) with ground velocity data and calculated values (grey background).

The mean value

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, the root mean square

 
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and the root mean square in reference to the mean value

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could be calculated directly from the raw data:

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Figure 2 Vertical component of the ground velocity data shown in Table 1.

The root mean square in reference to the mean value for the shown data is 4.8 µm/s.

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where dUn /dt is one of the three ground velocity components. The mean value has no meaning for the ground motion. For further analysis the data are transferred into the frequency space:

Discreet Fourier Transformation for a set of numbers

If n is an element of

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and dUn/dt are n numbers then the discret Fourier
transformation is defined in general by

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and the reverse transformation is given by

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where

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and

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is. If dUn/dt are measured values (real numbers) then is

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Figure 3.

Nyquist’s Theorem and Aliasing

The Niquist frequency fN is half of the sampling rate fS

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All frequencies of digitally date above the Nyquist frequency fold over to lower
frequencies. This fold over is called aliasing.

Thus the Fourier Transformation for measured values is better described by the
following definition:

Discreet Fourier Transformation for a set of real numbers

If dUn/dt is a set of real numbers then the then the discreet Fourier transformation is defined by

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with

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and

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Table 2 Clipping of a data file (06161224.csv)

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Figure 4 sv)

Fourier Transformed of the Motion

If the set of real numbers dUn/dt describes a one dimensional velocity then the Fourier Transformation of motion dUn/dt is given by

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Figure 5 sv)

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Figure 6 sv)

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Figure 7.

Coherence

The rms of displacement,

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above a cut-off frequency, normalized such that f = l/T, can be calculated from the power spectral density

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The PSD of displacement has a unit of μm²/Hz.
For better resolution of spectral details, the spectra are averaged over 15 minutes or even longer periods. Since “cultural noise” is dominant at f ≥ 1 Hz, the displacement PSDs measured were integrated in the range of 1 ≤ f ≤ 80 Hz, the upper limit matching the seismometer upper frequency response.
The spectrum of correlation Kk of two synchronized signals ũk and ˜zk, for any value k, estimated by averaging over many 1 minute measured data sets, is defined as

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Kk is a complex number by definition and coherence between
two signals is hence defined as

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By definition, coherence of two signals is between 0 and 1.