DYNAMICIZING THE SPAR-H METHOD: A SIMPLIFIED APPROACH TO COMPUTATION-BASED HUMAN RELIABILITY ANALYSIS

摘要

In this paper, we discuss the adaptation of the Standardized Plant Analysis Risk-Human (SPAR-H) human reliability analysis (HRA) method to dynamic risk modeling, SPAR-H was developed as a worksheet-based method in which human reliability analysts assign the appropriate level of influence for performance shaping factors (PSFs). These PSFs then serve as multipliers to calculate the human error probability. In the adaptation presented here, PSFs are auto-calculated based on plant parameters and scenario context. Auto-calculation enables the dynamicized version of SPAR-H to be coupled to thermo-hydraulic code to estimate event outcomes. The approach demonstrates the value of adapting existing static HRA methods for dynamic modeling.