NEHRP Clearinghouse
- Title
- Modelling Earthquake Ground Motions in Seismically Active Regions Using Parametric Time Series Methods.
- File
- PB88134283.pdf
- Author(s)
- Ellis, G. W.; Cakmak, A. S.
- Source
- National Science Foundation, Washington, DC., August 25, 1987, 158 p.
- Identifying Number(s)
- NCEER-87-0014
- Abstract
- The application of the Autoregressive-Moving Average (ARMA) process is an efficient method to model strong motion accelerograms, after processing by a variance and frequency stabilizing transformation. The report presents two methods for modelling accelerograms. The first method was developed to model individual accelerogram components. From this modelling procedure, parameters describing the change in variance during the record, the change in the dominant frequency during the record, and the correlation structure of the stabilized series were estimated. This univariate procedure was used to calculate modelling parameters for 148 accelerogram components recorded in California. A second procedure was developed to model the three acceleration components together as a group. This multivariate procedure was used to calculate modelling parameters from accelerograms recorded in Mexico and Taiwan, with particular emphasis placed on the accelerograms recorded from the 1985 Michoacan earthquake.
- Keywords
- ; Mathematical models; Graphs (Charts); Ground motion; Earthquake engineering; Multivariate analysis; Accelerometers