## Proceedings of the ... International Conference on Offshore Mechanics and Arctic Engineering, Volume 2American Society of Mechanical Engineers, 2001 - Arctic regions |

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Page 66

V2RD , e S ( 1 ) 1 f , ( mp ) = e - mö ( 2D ) 20D , where D , and Do are the variances of the

V2RD , e S ( 1 ) 1 f , ( mp ) = e - mö ( 2D ) 20D , where D , and Do are the variances of the

**random**variables Mg and Mo , and ( m ) is the mean value of the variable Ms. The mean value of the dynamic variable Mo is assumed to be zero .Page 70

Then the cumulative probability distribution function of the

Then the cumulative probability distribution function of the

**random**variable X = Y + Z is as follows : ( n - 1 ) 2 20 -y2 / 232 e 9 -ne F , ( v ) = Xo F.w = / **** - -én Idx ( B - 6 ) n -82 ne = 2 ( 7-5 ) e- ( 0-6 ) -elds 1 X W 0 F. ( x ) ...Page 286

a - THE CENTRAL MAINTENANCE PROBLEM Throughout the whole life cycle of a pipeline it is subjected to two mutually antagonistic

a - THE CENTRAL MAINTENANCE PROBLEM Throughout the whole life cycle of a pipeline it is subjected to two mutually antagonistic

**random**processes . There is the degradation process and the renewal process . The degradation process is a ...### What people are saying - Write a review

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acceptable analysis applied approach assessment associated assumed calculated coefficient combined components considered corresponding corrosion cost crack criteria damage dependent depth determined developed directional distribution dynamic effect element Engineering environmental equation estimate evaluated example expressed extreme factor failure fatigue Figure force frequency function fuzzy given important increase initial inspection limit load loss maintenance marine maximum mean measures Mechanics method motion normal observed obtained offshore operations parameters peak performed period pipe pipeline platform possible prediction present probability procedure production random range relative reliability represented response return period riser risk safety ship shown shows significant simulation spectral spectrum statistical steel storm strength stress structure surface Table theory typical uncertainty variables wave height wind