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Seismic Risk Assessment of High-Voltage Transformers Using Bayesian Belief Networks by NICOLÁS MARÍN SAAVEDRA is a document available to read on EtoBox.
This thesis proposes a probabilistic framework using Bayesian belief network (BBN) model to assess the vulnerability of high-voltage transformers due to seismic events. The BBN model incorporates major causes of transformer vulnerability such as liquefaction, rocking response of the transformer, and interaction between interconnected equipment.
- Author
- NICOLÁS MARÍN SAAVEDRA
- Language
- EN