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 165
Rio de Janeiro , RJ , Brazil RELIABILITY STUDY OF SHIP HULL STRUCTURES USING FUZZY VARIABLES K. Rajagopalan Professor Ocean Engineering Centre Indian Institute oof technology , Madras Chennai 600 036 - India Y 0.0 = ( 533 , 1333 ] The ...
Rio de Janeiro , RJ , Brazil RELIABILITY STUDY OF SHIP HULL STRUCTURES USING FUZZY VARIABLES K. Rajagopalan Professor Ocean Engineering Centre Indian Institute oof technology , Madras Chennai 600 036 - India Y 0.0 = ( 533 , 1333 ] The ...
Page 166
For a function with n variables , there will be 2n vertices . The coordinates of the vertices are actually the ... ( 8 ) 1 ( Fuzzy Variables A fuzzy variable , A , is defined by its membership function , a as shown in Fig . 1.
For a function with n variables , there will be 2n vertices . The coordinates of the vertices are actually the ... ( 8 ) 1 ( Fuzzy Variables A fuzzy variable , A , is defined by its membership function , a as shown in Fig . 1.
Page 277
The geometric function Y is fuzzified by considering Y = Y , 8 = ( 10 ) When the fuzzy variables are considered as ... of set of fuzzy intervals can be expressed T as = constant where Y စ် ( 14 ) = fuzzy variable expressed as a TFN S ...
The geometric function Y is fuzzified by considering Y = Y , 8 = ( 10 ) When the fuzzy variables are considered as ... of set of fuzzy intervals can be expressed T as = constant where Y စ် ( 14 ) = fuzzy variable expressed as a TFN S ...
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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 expected 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