- Author
- Glaser, S. D. | Leeds, A. L.
- Title
- Preliminary Processing of the Lotung LSST Data.
- Coporate
- Colorado School of Mines, Golden, CO
- Sponsor
- National Institute of Standards and Technology, Gaithersburg, MD
- Report
- NIST GCR 96-690, March 1996, 57 p.
- Distribution
- Available from National Technical Information Service
- Contract
- NIST-GRANT-60NANB4D1677
- Keywords
- signals | data processing | earthquakes | clay | sand
- Identifiers
- Taiwan Power Co. (TPC), Lotung, Taiwan; procedures for data processing and system identification; parametric modeling of Lotung data; complete set of velocity time histories for event 16, location A; pore water pressure histories for events 12, 16, 17; MATLAB procedure to integrate acceleration records to velocity and displacement; Electric Power Research Institute (EPRI)
- Abstract
- Possibly the best set of data for earthquake excitation of soils exists for the test site operated by the Electric Power Research Institute (EPRI) and the Taiwan Power Company at Lotung, Taiwan. At this site, two locations are instrumented with three-component accelerometers at depths of 47, 17, 11, 6 meters, and at the surface. One array is in the free-field while the other is adjacent to a one-quarter scale nuclear containment vessel. The site is also well instrumented with piezometers at various depths and locations. The simplified soil profile consists of 30 to 35 m of silty sand and sandy silt with some gravel, overlaying a thick clay and silt deposit. The water table is within half a meter of the ground surface. This area is seismically active, and strong shaking generated by many earthquakes exhibiting a wide range of magnitudes have been recorded since 1986. This report summarizes the data and signal processing that was done to the EPRI Lotung data at the Colorado School of Mines. The over 2000 files were organized into MATLAB experiments by event. The provided acceleration data were carefully doubled integrated to yield velocity and displacement time history records. The data are now in proper format to begin system identification analysis.