Abstract
The evaluation of the integrity of the structural components in nuclear power plant is quite important to obtain the reliable results of risk assessment. In the present study, the database system for risk evaluation in material degradation has been proposed with the emphasis on the effective support for the information management. The proposed system also has the connection to the experimental test facility, where the combined effect of the existing conditions for degradation mechanism is examined. The proposed system has been utilized by the practical situations and has shown to be effective for the promotion of the mutual communication among researchers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Takahashi M., Kitamura M. and Sugiyama K., Derivation of Diagnostic Knowledge Multi-Level, Multi-Attribute Model Representation of Nuclear Power Plant, Proceedings of the Topical Meeting on Advances in Human Factors Research on ManIComputer Interactions: Human and Beyond (1990), p.5-10
Kitamura M., Takahashi M. and Sugiyama K., Acquisition of Knowledge on Generic Failure Mechanism from Anomaly Event Experiences, Proceeding of the AI9/Frontiers in Innovative Computing for the Nuclear Industry, Vol.2 (1991), p.851–858.
http://dfs.jst.go.jp/index-j.html
http://atlas.tokyo.jst.go.jp
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this paper
Cite this paper
Takahashi, M., Usami, J., Tsujimoto, Y., Kitamura, M. (2004). Database System for Risk Evaluation in Material Degradation. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_375
Download citation
DOI: https://doi.org/10.1007/978-0-85729-410-4_375
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
eBook Packages: Springer Book Archive