Abstract

The use of evidence theory and associated cumulative plausibility functions (CPFs), cumulative belief functions (CBFs), cumulative distribution functions (CDFs), complementary cumulative plausibility functions (CCPFs), complementary cumulative belief functions (CCBFs), and complementary cumulative distribution functions (CCDFs) in the analysis of time and temperature margins associated with loss of assured safety (LOAS) for 1 weak link (WL)/2 strong link (SL) systems is illustrated. Article content includes cumulative and complementary cumulative belief, plausibility and probability for (i) SL/WL failure time margins defined by (time at which SL failure potentially causes LOAS) - (time at which WL failure potentially prevents LOAS), (ii) SL/WL failure temperature margins defined by (temperature at which SL failure potentially causes LOAS) - (temperature at which WL failure potentially prevents LOAS), and (iii) SL/SL failure temperature margins defined by (temperature at which SL failure potentially causes LOAS) - (temperature of SL whose failure potentially causes LOAS at the time at which WL failure potentially prevents LOAS).

This content is only available via PDF.
You do not currently have access to this content.