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The quantitative analysis of the vertical displacements and data on the characteristics of the surface breaking during historical earthquakes demonstrate that along-fault offsets strongly increases where the unstable large-scale rock masses are located.
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Instrument effects were removed from the P waveforms to produce displacements seismograms, and data were selected to provide a relatively uniform sampling as a function of azimuth.
This kind of problem consists in recovering missing displacements and forces data on one part of a domain boundary from the knowledge of overspecified displacements and forces data on another part of this boundary.
The automated tracking system was validated by comparing automatically generated displacement and velocity data with data from the same recordings collected manually.
Both the displacement and strain data were collected using the data acquisition system.
A total of 110 channels in a multi-channel data acquisition system were used to simultaneously acquire strain, displacement, and load data.
Model simulation results closely matched empirical force, displacement and velocity data (Mean R2=0.930 0.997).
Additionally, a methodology is presented to accurately extract augmented frequencies from displacement and forcing data corrupted by noise.
From the correlation coefficients between the displacement and wind data, the movement of the middle span is almost not dependent on the wind.
Our experiments demonstrate that the model is robust to displacement and missing data, and can be successfully applied to a small group of patients with mass lesions.
First, the theory of the VFM is exposed and, then, validation is performed on simulated full-field displacement and curvature data.
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