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 107
... defined as σ = 0 , if w < wp , and σ - σb if w > wp . The parameters y , σ , and σ contain uncertainties . Their mean values are given as y 3.3 , σ , -0.07 , and σ - 0.09 ( Brebbia and Walker , 1979 ) . If y = 1.0 then the P.M spectrum ...
... defined as σ = 0 , if w < wp , and σ - σb if w > wp . The parameters y , σ , and σ contain uncertainties . Their mean values are given as y 3.3 , σ , -0.07 , and σ - 0.09 ( Brebbia and Walker , 1979 ) . If y = 1.0 then the P.M spectrum ...
Page 228
... defined above ) has a probability p ; of deteriorating according to the scenario parameters defined by @j . Note that may be 2- or more - dimensional , as long as a discrete set of scenarios is defined , as shown in the example in the ...
... defined above ) has a probability p ; of deteriorating according to the scenario parameters defined by @j . Note that may be 2- or more - dimensional , as long as a discrete set of scenarios is defined , as shown in the example in the ...
Page 413
... defined : 1. Initialize ro ( t ) = x ( t ) , j = 1 2. Extract the j - th IMF : ( a ) Initialize ho ( t ) = r ; ( t ) , k = 1 ( b ) Locate local maxima and minima of hk - 1 ( t ) ( c ) Cubic spline interpolation to define upper and lower ...
... defined : 1. Initialize ro ( t ) = x ( t ) , j = 1 2. Extract the j - th IMF : ( a ) Initialize ho ( t ) = r ; ( t ) , k = 1 ( b ) Locate local maxima and minima of hk - 1 ( t ) ( c ) Cubic spline interpolation to define upper and lower ...
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