10 likes | 182 Views
Center for Embedded Networked Sensing. Observations of Wave Propagation Effects through the UCLA Factor Building. Monica Kohler, Paul Davis, Igor Stubailo Seismology Group – www.cens.ucla.edu/Project-Descriptions/Seismology/index.html and factor.gps.caltech.edu.
E N D
Center for Embedded Networked Sensing Observations of Wave Propagation Effects through the UCLA Factor Building Monica Kohler, Paul Davis, Igor Stubailo Seismology Group – www.cens.ucla.edu/Project-Descriptions/Seismology/index.html and factor.gps.caltech.edu Introduction:System identification through wave propagation properties On using Impulse Response Functions Sources of Excitations • Motion of building depends on properties of structure and coupling with ground. • Need to separate building response from the excitation and the ground coupling by deconvolution to obtain the impulse response function. • The resulting imulse response functions account for the wave propagation effects between receivers. • Shear-wave velocity and attenuation can be computed from the deconvolved displacement waveforms. • Relate shear-wave velocities and attenuation to the changes in system properties (e.g., stiffness, mass). 20 small and intermediate, local and regional earthquakes (stars). UCLA and downtown Los Angeles (squares). Problem Description:Characterize the effects of a traveling seismic wave on a structure through the dense observations • The deconvolution of two time series signals, d1() and d2(w) in the frequency domain is given by D()=d1()/d2(), where d1()/ is the higher floor displacement, and d2(), is the subbasement displacement which is used as a proxy for the free-field.. • In order to keep the division stable, we use relatively short time series that contain an earthquake signal, and we add a low-amplitude frequency shift if the spectral amplitude equals zero. • We use displacement records that have been bandpass filtered for frequencies between 1 and 10 Hz, and decimated by 4 (100 sps down to 25 sps). • Shear-wave velocity is obtained by fitting a line through the distance-time measurements after obtaining the travel time by a Gaussian fit to the Green’s functions. Proposed Solution:Pre-event characterization in order to compare with post-event data Resulting deconvolution for 4 sample earthquakes Stack of 20 earthquakes Travel-time and velocity calculation UCLA – UCR – Caltech – USC – CSU – JPL – UC Merced