1st Edition
Spatial Variation of Seismic Ground Motions Modeling and Engineering Applications
Introduction
Stochastic estimation of spatial variability
Basic definitions
Stochastic processes
Bi-variate stochastic processes
Coherency
Multi-variate stochastic processes and stochastic fields
Parametric modeling of spatial variability
Parametric power spectral densities
Early studies on spatial variability
Dependence of coherency on physical parameters
Parametric coherencymodeling
Parametric cross spectrum modeling
Physical characterization of spatial variability
Frequency-wavenumber (F-K) spectra
Amplitude and phase variability
Seismic ground-surface strains
Semi-empirical estimation of the propagation velocity
Estimation of the surface strain field
Accuracy of single-station strain estimation
Incoherence vs propagation effects in surface strains
Displacement gradient estimation from array data
Considerations in the estimation of seismic ground strains
Random vibrations for multi-support excitations
Introduction to random vibrations
Discrete-parameter systems
Distributed-parameter systems
Analysis of rms lifeline response
Additional random vibration considerations
Simulations of spatially variable ground motions
Simulation of random processes
Simulation of random fields
Simulation ofmulti-variate stochastic vector processes
Conditionally simulated ground motions
Conditional simulation of random processes
Processing of simulated acceleration time series
Example applications
Engineering Applications
Large, mat, rigid foundations
Dams
Suspension and cable-stayed bridges
Highway bridges
Some concluding remarks
References
Biography
Aspasia Zerva
