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Dissertation
Estimation of signal characteristics and coherent patterns in spatially variable seismic ground motions
Doctor of Philosophy (Ph.D.), Drexel University
1997
DOI:
https://doi.org/10.17918/00007889
Abstract
A methodology for the investigation of the spatial variation of seismic ground motions is presented. The approach is first applied to simulated motions for performance validation. Data recorded at the SMART-1 dense instrument array in Lotung, Taiwan, during Events 5 and 39 are then used in the analysis. The seismic motions are modeled as superpositions of sinusoidal functions, described by their amplitude, frequency, wavenumber and phase. For each event and direction (horizontal or vertical) analyzed, the approach identifies a coherent, common component in the seismic motions at all recording stations, and variabilities in amplitudes and phases around the common component sinusoidal characteristics, that are particular for each recording station. It is shown that the variation in both the amplitudes and phases of the motions at the station locations around the common component characteristics contribute significantly to the spatially variable nature of the motions. The dispersion range of the amplitude and phase variability around their corresponding common components appear also to be associated with physical parameters. The spatially variable arrival time delays of the waveforms at the stations due to their upward traveling through the site topography, in addition to the wave passage delays identified from signal processing techniques, constitute another important cause for the spatial variation of the motions; their consideration in the approach facilitates also the identification of the correlation patterns in the amplitudes and phases.
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Details
- Title
- Estimation of signal characteristics and coherent patterns in spatially variable seismic ground motions
- Creators
- Ouqi Zhang
- Contributors
- Aspasia Zerva (Advisor) - Drexel University, Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xii, 201 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Drexel University
- Other Identifier
- 991021889005704721