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Seismic Damage Analysis

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Earthquake is one of the most destructive natural hazards and causes casualties, financial and environmental damages every year. On the other hand, Iran is a seismicity country located at Himalayan-Alpied seismic belt, any time there is a probability earthquake occurrence, and many cities and areas with a large population, such as Nishapur, are in areas with a higher likelihood of an earthquake (Talebian and Jackson, 2004). Many earthquakes occurring in the past three decades, including the Tabas earthquake (1978), the Manjil earthquake (1990), and the Bam earthquake (2003), caused about 100,000 deaths (Yazdani and Kowsari, 2011).
In the modern societies, the civil infrastructures and utility systems are very important to support daily activities …show more content…

The same model is also used in the preparation of available software system. After that, a introduction to research methodology in the form of seismic vulnerability functions and loss estimation relations of infrastructures and also the Monte Carlo Simulation will be discussed. This method is presented in form of modeling steps of a software system. At the following, the results will be discussed and finally summary and conclusions of the proposed model will be …show more content…

Recently, several advancements have carried out about the analysis of complex urban infrastructure systems in recent years. Because of advances in the computerization of data acquisition and collection, the topology of real networks may describe in a large database. Increased computing power enables researchers to investigate larger networks and explore properties of interest that could not be considered previously. Interdisciplinary collaboration has led to more reliable solutions for more complicated problems in complex networks. Moreover, there has been a growing interest and need to understand the behavior of systems as a whole beyond reductionist approaches (Albert & Barabási, 2002). These advances have spurred progress in the development of statistical methods and computer simulations for understanding the properties of large scale networks, for providing useful insight in network designs, and for predicting network behavior in response to internal or external disturbances (Young-Suk et al.,

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