Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-29T12:18:32.328Z Has data issue: false hasContentIssue false
  • English
  • Français

On EBS Modeling for Performance Assessment: Using Shadow Models to Identify Robust System Responses

Published online by Cambridge University Press:  10 February 2011

H. Takase ,
P. Grindrod ,
S.J. Einchcomb ,
A.J. Lee ,
H. Makino  and
H. Umeki
H. Takase
Affiliation:
QuantiSci, Chiltern House, 45 Station Road, Henley-on-Thames, OXON, RG9 1ATthe United Kingdom, htakase@quantisci.co.uk
P. Grindrod
Affiliation:
QuantiSci, Chiltern House, 45 Station Road, Henley-on-Thames, OXON, RG9 1ATthe United Kingdom
S.J. Einchcomb
Affiliation:
QuantiSci, Chiltern House, 45 Station Road, Henley-on-Thames, OXON, RG9 1ATthe United Kingdom
A.J. Lee
Affiliation:
QuantiSci, Chiltern House, 45 Station Road, Henley-on-Thames, OXON, RG9 1ATthe United Kingdom
H. Makino
Affiliation:
Power Reactor and Nuclear Fuel Development Corporation, 1-9-13 Akasaka, Minato-ku, Tokyo, 107Japan
H. Umeki
Affiliation:
Power Reactor and Nuclear Fuel Development Corporation, 1-9-13 Akasaka, Minato-ku, Tokyo, 107Japan
Get access

Abstract

A new approach to identifying and characterising system responses of the EBS based on analysis of ensemble runs of a generic and flexible source term model is developed and applied. A discussion of issues relating to the use of this methodology as a complementary approach to existing scenario development/safety case definition is also included.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 506: Symposium – Scientific Basis for Nuclear Waste Management XXI , 1997 , 847
Copyright
Copyright © Materials Research Society 1998

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1] SKI, System Analysis, Scenario Construction and Consequence Analysis Def‘lnition for SITE-94, SKI Report 95:26 (1995)Google Scholar
[2] Summerling, T.J. (ed), Dry Run 3: A trial assessment of underground disposal of radioactive wastes based on probabilistic risk analysis, U.K.DoE Report No. DoE/HMIP/RR!92.040, Department of the Environment (1992)Google Scholar
[3] Everitt, B.S., Cluster Analysis, 3rd Edition, (Edward Arnold, 1993)Google Scholar
[4] PNC, Research and Development on Geological Disposal of High-Level Radioactive Waste, First Progress Report, PNC TN1410 93-059 (1992)Google Scholar
[5] Woods, J.A. and Worgan, K.J., User‘s Guide to SPADE Solver for Differential and Algebraic Equations, Intera Information Technologies Technical Report IM3246-6 Version 2 (1995)Google Scholar