The study area encompassed by the 49.5o–54oE longitudes and 34o-37oN latitudes. The aim is to develop a model for seismic hazard Assessment is based on employing fuzzy sest theory. To carry out seismic hazard analysis in the framework of fuzzy sets theory, all of the variables converted into triangular fuzzy sets by using of MATLAB software. After applying different combination of them and extracting output in the framework of fuzzy, they became defuzzy by using surface center method. As a result, the hazard curve has been drawn for the site. PGA values for this region are estimated to be 0.35g and 0.12g for 475- and 50-years return periods, respectively.

The present study aims at investigation of seismic performance of brick masonry infill (BMI) reinforced concrete buildingthrough Probabilistic approach. An existing seven storey reinforced concrete building situated in Indian seismic zone IV, which represents the typical properties of medium-rise non-ductile residential apartment buildings in India has been considered. Nonlinear seismic behavior of building with and without BMI is studied to evaluate seismic performance. Probabilisticseismic demand model (PSDM), fragility curves and damage probability matrix has been developed. Analytical fragilitycurves using incremental dynamic analysis have been developed. Sixteen natural ground motion records from PEER strongmotion database are used to study the ground motion variability. Incremental dynamic analysis is performed and the maximuminterstory drift is obtained as a response parameter for all simulations. The PSDM parameters are calculated usingregression analysis for numerical models. The variation in the PSDM parameters is studied. Discrete probability matricesare developed for different damage stages. Finally, the effects of brick masonry infill on seismic performance are discussed.

A Probabilistic seismic hazard Assessment in terms of Arias intensity is presented for the city of Tehran. Tehran is the capital and the most populated city of Iran. From economical, political and social points of view, Tehran is the most significant city of Iran. Many destructive earthquakes happened in Iran in the last centuries. Historical references indicate that the old city of Rey and the present Tehran have been destroyed by catastrophic earthquakes at least 6 times. Existence of active faults like North of Tehran, Mosha and North and South of Rey is the main causes of seismicity of this city. Seismicity parameters on the basis of historical and instrumental earthquakes for a time period, from 4th century BC to the present time are calculated using Tavakoli’s approach and Kijko method. The earthquake catalogue with a radius of 200 km around Tehran has been used to calculate seismicity parameters. Iso-intensity contour lines maps of Tehran on the basis of different attenuation relationships are plotted. They display the Probabilistic estimate of Arias intensity with Rock and Soil beds for the return periods of 72, 224, 475, 2475 years. SEISRISKIII software has been employed for seismic hazard Assessment. Effects of different parameters such as seismicity parameters, length of fault rupture relationships, and attenuation relationships are considered using logic tree.

Fixed pile-founded offshore platforms installed in the seismic-prone areas are exposed to the risk of earthquake-induced disastrous failure and costly operation interruption. Accordingly, the development of applied seismic evaluation methodologies for these infrastructures is a matter of utmost importance. In the context of performance-based earthquake engineering (PBEE), Probabilistic seismic Assessments of fixed pile-founded offshore platforms have been investigated, here. A three-dimensional (3D) finite element model of a recently installed platform located in the South Pars Oil and Gas field of the Persian Gulf has been made. Soil-pile-structure interaction, as well as dynamic site response effects, has been considered. Probabilistic seismic demand modeling (PSDM) has been employed to manifest the efficient and sufficient ground motion intensity measures (IMs) which can rigorously predict the structural engineering demand parameters (EDPs). Derived from Probabilistic seismic demand analysis (PSDA), the superb results have been also evaluated by means of the predominantly used method of incremental dynamic analysis (IDA). On the other hand, the drawn findings contributed to representing the fragility curves of the fixed pilefounded offshore platforms. The demonstrated results are highly recommended to be considered in related research.