NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS

when uncertainty information is not enough that it is so difficult to get the parameter probability model,the nonprobabilistic reliability analysis method could be taken into accout. This method described system parameters as interval variables first,measuring the system reliability through the rati...

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Main Authors: MA DongJuan, LIU BoYing, LI LingLing
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2015-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.01.002
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author MA DongJuan
LIU BoYing
LI LingLing
author_facet MA DongJuan
LIU BoYing
LI LingLing
author_sort MA DongJuan
collection DOAJ
description when uncertainty information is not enough that it is so difficult to get the parameter probability model,the nonprobabilistic reliability analysis method could be taken into accout. This method described system parameters as interval variables first,measuring the system reliability through the ratio of security domain and the basic interval variables total area. Provided the calculation methods for probability of failure surface under different cases of combination of stress and intensity. Compared and analyzed the relationship between probability of reliability and non-probabilistic reliability when stress and intensity obey uniform distribution and normal distribution respectively. Finally,through typical numerical examples testified this analysis method.
format Article
id doaj-art-9ff6de7ee8414353a1b72a2c749df03f
institution Kabale University
issn 1001-9669
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publishDate 2015-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-9ff6de7ee8414353a1b72a2c749df03f2025-01-15T02:39:01ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692015-01-0137848730590770NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSISMA DongJuanLIU BoYingLI LingLingwhen uncertainty information is not enough that it is so difficult to get the parameter probability model,the nonprobabilistic reliability analysis method could be taken into accout. This method described system parameters as interval variables first,measuring the system reliability through the ratio of security domain and the basic interval variables total area. Provided the calculation methods for probability of failure surface under different cases of combination of stress and intensity. Compared and analyzed the relationship between probability of reliability and non-probabilistic reliability when stress and intensity obey uniform distribution and normal distribution respectively. Finally,through typical numerical examples testified this analysis method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.01.002Interval analysisNon-probabilistic measurementStress-strength interference modelReliability analysis
spellingShingle MA DongJuan
LIU BoYing
LI LingLing
NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS
Jixie qiangdu
Interval analysis
Non-probabilistic measurement
Stress-strength interference model
Reliability analysis
title NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS
title_full NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS
title_fullStr NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS
title_full_unstemmed NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS
title_short NON-PROBABILISTIC RELIABILITY ANALYSIS METHOD BASED ON INTERVAL ANALYSIS
title_sort non probabilistic reliability analysis method based on interval analysis
topic Interval analysis
Non-probabilistic measurement
Stress-strength interference model
Reliability analysis
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.01.002
work_keys_str_mv AT madongjuan nonprobabilisticreliabilityanalysismethodbasedonintervalanalysis
AT liuboying nonprobabilisticreliabilityanalysismethodbasedonintervalanalysis
AT lilingling nonprobabilisticreliabilityanalysismethodbasedonintervalanalysis