The chief aim of the project is to provide planners, engineers and researchers in the Community access to a data bank of reliable earthquake strong-motion records for land-use planning, code development, design and construction, retrofitting of existing structures and evaluation of landslide and foundation failure hazards.
Work already carried out has identified a large body of strong-motion records from Europe and adjacent areas, and priority will be given to facilitating use of this data within the Community. Through the contacts that have been established with strong-motion agencies throughout the region the project will acquire records as they are generated in future earthquakes, and new contacts will be made in those areas in which data relating to strong-motion is still incomplete.
In addition to the data bank from Europe, large numbers of records are known to exist in North America, Japan and Australasia, as well as other regions. Records from these regions will be included in the data bank and the project will incorporate as many of these records as possible. Similarities and differences between strong-motion from these different regions will be investigated through attenuation studies of different strong-motion parameters.
As information is obtained on the European records mentioned above related parameters such as epicentral and fault distances, site geologies and intensities, etc., will be determined and included in the data base.
An integrated computer-based facility will be finally established. The records will be stored on hard disk in directly usable format, having been adjusted for baseline errors and instrument deconvolution, and therefore, another aim of the project will be the establishment of a routine processing procedure.
With the records easily available in a processed format, it will be easy to generate and store other data files such as response and Fourier spectra and energy flux. Since these data files, and the corrected records will all be stored on hard disk directly linked to the relational database, it will be possible to perform regression analyses of strongmotion parameters other than peak acceleration, namely peak velocity, spectral ordinates, energy flux, Arias intensity, A95 and strong-motion duration.