Abstract
This article is concerned with pipe wall thinning management system by means of hybrid use of simulation and monitoring. First, the computer-aided simulation for predicting wear rate of piping system is developed based on elucidation of thinning mechanism such as flow-accelerated corrosion (FAC). The accurate prediction of wear rate allows us the useful information on region of interest of inspection. Secondly, several monitoring methods are considered in accordance with interest of inspection. Thirdly, probability of detection (POD) is considered for the reliability of inspection data. The final part of this article is devoted to how to improve safety performance under the hybrid use of predicting and monitoring on the proposed pipe wall management.
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Acknowledgement
This work has been performed as a part of the National Research Project for Enhancement of Measures against the Ageing of Nuclear Power Plants sponsored by the Nuclear and Industrial Safety Agency (NISA) in Japan. This research was also supported in part (F. Kojima) by the Asian Office of Aerospace Research and Development (AOARD).
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Kojima, F., Uchida, S. (2014). Advanced Management of Pipe Wall Thinning Based on Prediction-Monitor Fusion. In: Yoshikawa, H., Zhang, Z. (eds) Progress of Nuclear Safety for Symbiosis and Sustainability. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54610-8_19
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DOI: https://doi.org/10.1007/978-4-431-54610-8_19
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