## 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

120 eta taswan fo ( mo ) = ; ( 1 ) e - m ( 2D ) ) J2nDo where Ds and Do are the

variances of the

the variable Ms . The mean value of the dynamic variable Mo is assumed to be

zero .

120 eta taswan fo ( mo ) = ; ( 1 ) e - m ( 2D ) ) J2nDo where Ds and Do are the

variances of the

**random**variables Ms and Mo , and ( mg ) is the mean value ofthe variable Ms . The mean value of the dynamic variable Mo is assumed to be

zero .

Page 70

If the EVS is used , the cumulative probability distributive function for the extreme

response can be found , in accordance with the second formula in ( A - 1 ) , as F ,

( z ) = P " ( z ) ( B - 11 ) The probability density distribution function for a

If the EVS is used , the cumulative probability distributive function for the extreme

response can be found , in accordance with the second formula in ( A - 1 ) , as F ,

( z ) = P " ( z ) ( B - 11 ) The probability density distribution function for a

**random**...Page 286

THE CENTRAL MAINTENANCE PROBLEM Throughout the whole life cycle of a

pipeline it is subjected to two mutually antagonistic

the degradation process and the renewal process . The degradation process is a

...

THE CENTRAL MAINTENANCE PROBLEM Throughout the whole life cycle of a

pipeline it is subjected to two mutually antagonistic

**random**processes . There isthe degradation process and the renewal process . The degradation process is a

...

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