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    Probabilistic Framework for Seismic Risk Analysis of Industrial Plants of the Oil Infrastructure

    , M.Sc. Thesis Sharif University of Technology Kamali Shakib, Mohammad Javad (Author) ; Mahsouli, Mojtaba (Supervisor)
    Abstract
    This research proposes a probabilistic framework for seismic risk analysis of industrial plants of oil infrastructure using reliability methods. The proposed approach integrates multiple probabilistic models and system reliability to quantify the seismic risk of the process plants. A chain of probabilistic seismic hazard and risk models is utilized for the risk analysis. The Monte Carlo sampling method is used to propagate the significant uncertainty in the hazard event, damage to components and its consequences, and the potential losses incurred by process plant. In each sample of the analysis, hazard models simulate the occurrence, magnitude, and rupture area and location of earthquake...