-We propose using non-obtrusive physiological assessment (e.g., eye tracking,) to assess human information processing errors (e.g., loss of vigilance) and limitations (e.g., workload) for advanced energy systems early in the design process. This physiological approach for assessing risk will circumvent many limitations of current risk methodologies such as subjective rating (e.g., rater's biases) and performance modeling (e.g., risk assessment is scripted and is based upon the individual modeler's judgment). Key uses will be to evaluate (early in the design process) novel control room equipment and configurations as well as newly developed automated systems that will inevitably place a high information load on operators. The physiological risk assessment tool will allow better precision in pinpointing problematic design issues and will provide a "real-time" assessment of risk. Furthermore, this physiological approach would extend the state-of-the-art of human reliability methods from a "static" measure to more "dynamic." This paper will discuss a broad range of the current popular online performance gauges as well as its advantages and disadvantages for use in next generation control room.
Assessment and management of aging concrete structures in nuclear power plants require a more systematic approach than simple reliance on existing code margins of safety. Structural health monitoring of concrete structures aims to understand the current health condition of a structure based on heterogeneous measurements to produce high-confidence actionable information regarding structural integrity that supports operational and maintenance decisions. This ongoing research project is seeking to develop a probabilistic framework for health diagnosis and prognosis of aging concrete structures in a nuclear power plant that is subjected to physical, chemical, and mechanical degradation. In this paper, the experimental set-up at Vanderbilt University's Laboratory for Systems Integrity and Reliability was used to research effective combinations of full-field imaging techniques, which include infrared thermography, digital image correlation, and ultrasonic measurement. The full-field imaging data collected were processed using contour mapping techniques to identify holes in a concrete slab. The techniques discussed and presented in this paper allow diagnosis of damage. The framework will enable plant operators to make risk-informed decisions on the structural integrity, remaining useful life, and performance of concrete structures.
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