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ALTERNATIVE METHODS FOR FIRE RISK AS...
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YEH, YEAN-CHUAN.
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ALTERNATIVE METHODS FOR FIRE RISK ASSESSMENT AND APPLICATIONS TO NUCLEAR POWER PLANTS (FUZZY).
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
ALTERNATIVE METHODS FOR FIRE RISK ASSESSMENT AND APPLICATIONS TO NUCLEAR POWER PLANTS (FUZZY)./
作者:
YEH, YEAN-CHUAN.
面頁冊數:
249 p.
附註:
Source: Dissertation Abstracts International, Volume: 45-11, Section: B, page: 3600.
Contained By:
Dissertation Abstracts International45-11B.
標題:
Engineering, Nuclear. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8500971
ALTERNATIVE METHODS FOR FIRE RISK ASSESSMENT AND APPLICATIONS TO NUCLEAR POWER PLANTS (FUZZY).
YEH, YEAN-CHUAN.
ALTERNATIVE METHODS FOR FIRE RISK ASSESSMENT AND APPLICATIONS TO NUCLEAR POWER PLANTS (FUZZY).
- 249 p.
Source: Dissertation Abstracts International, Volume: 45-11, Section: B, page: 3600.
Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 1984.
Two objectives are presented in this study. One is the pursuit of a new philosophy to overcome the scarcity in data and incompleteness in source information for fire risk analysis in nuclear power plants. This entails the use of fuzzy sets and possibility theory. The second is to extend the methods for quantifying fire failure probability given a fire event; fuzzy set theory is also applied here.Subjects--Topical Terms:
1043651
Engineering, Nuclear.
ALTERNATIVE METHODS FOR FIRE RISK ASSESSMENT AND APPLICATIONS TO NUCLEAR POWER PLANTS (FUZZY).
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Source: Dissertation Abstracts International, Volume: 45-11, Section: B, page: 3600.
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Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 1984.
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Two objectives are presented in this study. One is the pursuit of a new philosophy to overcome the scarcity in data and incompleteness in source information for fire risk analysis in nuclear power plants. This entails the use of fuzzy sets and possibility theory. The second is to extend the methods for quantifying fire failure probability given a fire event; fuzzy set theory is also applied here.
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The importance measures for fire-system interaction problems have been studied in terms of external event factors and system internal factors. Structural importance has been used to measure the internal importance. A step-by-step modularization to decompose a system into several smaller ones has been pursued.
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The measures for external factors depend on the physical characteristics of an area and historical operating experience. Considering these two sources of information as two possibilities, a principle of maximum entropy has been used to determine the external importance. Constraints from the possibility - probability consistency are used in this formalism. The imprecision in consistency coefficients results in fuzzy variables for external importances and its overall importance. In fuzzy ranking, instead of depending solely on a preferability membership function, an index for preferability has been used with good reproducibility.
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Fuzzy ranking is quite adequate in situations where precise data are not available. Its application in measuring the relative importance of fire impact on various plant zones has been explored.
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In the second application, a fuzzy set theory has been applied to a typical fire scenario. Given a fire event, there are two mechanisms competing. One is the fire detection and mitigation which results in a time to fire control. Another is fire propagation and fire damage which results in a time to fire failure. A method is developed to find the probability for time-to-fire-failure being smaller than time-to-fire-control which means that fire failure occurs. Application of this method to a specific problem results in a more desirable sensitivity analysis.
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