Proceedings of the ... International Conference on Offshore Mechanics and Arctic Engineering, Volume 9, Part 2American Society of Mechanical Engineers, 1990 - Arctic regions |
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Page 60
... coefficient of variation is about 6 % , Hart et al . ( 1985 ) . For material with a characteristic yield strength higher than 400 MPa the coefficient of variation is expected to be less than 5 % . A coefficient of variation of 5 % has ...
... coefficient of variation is about 6 % , Hart et al . ( 1985 ) . For material with a characteristic yield strength higher than 400 MPa the coefficient of variation is expected to be less than 5 % . A coefficient of variation of 5 % has ...
Page 149
... COEFFICIENT , Ym 4.0 45 16 18 β m B = 40D = 19.2 m Y = 13D = 19 9 m = Figure 8 : Material coefficient and reliability index as a function of skirt penetration depth . The results from the probabilistic analyses also showed that the ...
... COEFFICIENT , Ym 4.0 45 16 18 β m B = 40D = 19.2 m Y = 13D = 19 9 m = Figure 8 : Material coefficient and reliability index as a function of skirt penetration depth . The results from the probabilistic analyses also showed that the ...
Page 251
... coefficient of variation for the fatigue strength coefficient ( N - A S2 - m ) ( fatigue capacity error ) . median bias and coefficient of variation for local stress ( stress evaluation error resulting from assumptions made in all ...
... coefficient of variation for the fatigue strength coefficient ( N - A S2 - m ) ( fatigue capacity error ) . median bias and coefficient of variation for local stress ( stress evaluation error resulting from assumptions made in all ...
Contents
Investigation of the Ergodicity Assumption for Sea States in the Reliability Assessment of Offshore | 1 |
OFFSHORE TECHNOLOGY PART | 19 |
Fatigue Loading | 33 |
Copyright | |
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analysis applied approach approximately assessment assumed average basic calculated coefficient component computed considered constant corresponding cost crack growth curve cycles damage defect density depends depth derived described determined developed deviation distribution drag effects Engineering equation equivalent estimated evaluated example expected extreme factor failure failure probability fatigue Figure force fracture frequency function geometry given important included increase indicated initial inspection integration joints limit linear load Lognormal material maximum mean measured mechanics method normal obtained offshore structures operation parameters performed period platform predicted present pressure probabilistic probability procedure random variable range ratio reference relative reliability represent requirements respectively response risk safety shown shows significant simulation standard statistical storm strength stress structure surface Table tension tether tubular uncertainty variables variation wave wave height weld