Charles Corbett in UCLA Anderson Review: Highly technical probabilistic risk assessments at nuclear plants improve safety and pay for themselves many times over
In a paper published in Risk Analysis, Ohio State’s Christian C. Blanco and UCLA Anderson’s Felipe Caro and Charles J. Corbett attempt to quantify the effect of probabilistic risk assessments…
In a paper published in Risk Analysis, Ohio State’s Christian C. Blanco and UCLA Anderson’s Felipe Caro and Charles J. Corbett attempt to quantify the effect of probabilistic risk assessments (PRA) on the safety of U.S. nuclear power plants. Their analysis found that a PRA pays off — in the form of fewer safety-related incidents, reduced downtime and significant cost savings.
