Abstract
The spectral representation of soil requires in-situ data. Since the reliability of a stochastic study is based on the amount of data present, the larger the amount of data, the more reliable the results are expected to be. Therefore, among current soil tests, standard penetration test data and cone penetration test data are most commonly available in large numbers. Correlations are used to obtain stochastic representation of soil parameters related to in-situ resistances. A case study for Dinar, a city with a population of 30,000 in southwestern Turkey, is carried out. On October 1, 1995, a magnitude 5.9 earthquake occurred in Dinar. The geologic setting of the city had an impact on the damage levels. A large portion of the town is situated on an alluvial deposit and experienced extensive damage. The remainder of the town is located on a rock formation, where the houses suffered little or no damage. The standard penetration tests performed in various locations of the town after the earthquake will be utilized in attaining the stochastic spatial variability of the soil and the shear wave velocity. A spectral density function is chosen to adequately represent the soil and perform the stochastic spatial representation analysis for a two-dimensional soil profile.