Reducing Seismic and Traffic Loads Using Seismic Isolating Systems

Predicting Seismic Slope Displacements of Embankment Dams Using Fuzzy Systems

Iran, as a leading country in the dam construction industry, is located in one of the earthquake-prone regions of the world. Dams are important sources of hydroelectric power. Failure of these structures causes catastrophic damage. Therefore, evaluating the behavior of dams under seismic loading is an important issue. The present study focuses on the prediction of the slope displacements of emb...

Seismic Gradiometry using Ambient Seismic Noise in an Anisotropic Earth

Modal Pushover Seismic Analysis of Sac Buildings excluding Gravity Loads

Evaluated is the accuracy of the modal pushover analysis in estimating the seismic demands for six SAC buildings, excluding gravity-loads and P-delta effects. These results are compared with those obtained by nonlinear response history analysis and three force distributions in FEMA-273.

Seismic data compression using GULLOTS

Recent works have shown that GenLOT coding is a very effective technique for compressing seismic data. The role of a transform in a coder is to concentrate information and reduce statistical redundancy. When used with embedded zerotree coding, GenLOTs often provide superior performance to traditional block oriented algorithms or to wavelets. In this work we investigate the use of Generalized Un...

Seismic Inference using Genetic Algorithms

A flood of reliable seismic data will soon arrive. The migration to larger telescopes on the ground may free up 4-m class instruments for multi-site campaigns, and several forthcoming satellite missions promise to yield nearly uninterrupted long-term coverage of many pulsating stars. We will then face the challenge of determining the fundamental properties of these stars from the data, by tryin...