Improving thermal model prediction through statistical analysis of irradiation and post-irradiation data from AGR experiments-Reference-Cited by-同舟云学术

Improving thermal model prediction through statistical analysis of irradiation and post-irradiation data from AGR experiments

Published:2014-05 Issue: Volume:271 Page:209-216
ISSN:0029-5493
Container-title:Nuclear Engineering and Design
language:en
Short-container-title:Nuclear Engineering and Design

Author:

Pham Binh T.,Hawkes Grant L.,Einerson Jeffrey J.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Waste Management and Disposal,Safety, Risk, Reliability and Quality,General Materials Science,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Reference11 articles.

1. AGR-1 Irradaiated Test Train Preliminary Inspection and Disassembly First Look;Demkowicz,2011

2. AGR-1 Daily As-run Thermal Analyses;Hawkes,2011

3. Sensitivity Evaluation of the Daily Thermal Predictions of the AGR-1 Experiment in the Advanced Test Reactor, paper # 11186;Hawkes,2011

4. Daily thermal predictions of the AGR-1 experiment with gas gaps varying with time, paper # 12111;Hawkes,2012

5. Dependability Modelling Under Uncertainty: An Imprecise Probabilistic Approach;Limbourg,2009

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