An Approximate Reasoning-Based Method for Screening High-Level-Waste Tanks for Flammable Gas
| Autor: | Ronald E. Smith, Stephen W. Eisenhawer, Terry F. Bott |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Nuclear and High Energy Physics
Sequence Computer science 020209 energy Fuzzy set 02 engineering and technology Space (commercial competition) Condensed Matter Physics Fuzzy logic Industrial engineering High-level waste Subject-matter expert 020303 mechanical engineering & transports 0203 mechanical engineering Nuclear Energy and Engineering Storage tank 0202 electrical engineering electronic engineering information engineering Natural language |
| Zdroj: | Nuclear Technology. 130:351-361 |
| ISSN: | 1943-7471 0029-5450 |
| DOI: | 10.13182/nt00-a3098 |
| Popis: | The in situ retention of flammable gas produced by radiolysis and thermal decomposition in high-level waste can pose a safety problem if the gases are released episodically into the dome space of a storage tank. Screening efforts at the Hanford site have been directed at identifying tanks in which this situation could exist. Problems encountered in screening motivated an effort to develop and improved screening methodology. Approximate reasoning (AR) is a formalism designed to emulate the kinds of complex judgments made by subject matter experts. It uses inductive logic structures to build a sequence of forward-chaining inferences about a subject. Approximate-reasoning models incorporate natural language expressions known as linguistic variables to represent evidence. The use of fuzzy sets to represent these variables mathematically makes it practical to evaluate quantitative and qualitative information consistently. In a pilot study to investigate the utility of AR for flammable gas screening, the effort to implement such a model was found to be acceptable, and computational requirements were found to be reasonable. The preliminary results showed that important judgments about the validity of observational data and the predictive power of models could be made. These results give new insights into the problems observed in previousmore » screening efforts.« less |
| Databáze: | OpenAIRE |
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