Hydraulic turbine diffuser shape optimization by multiple surrogate model approximations of Pareto fronts

Journal of Fluids Engineering, Transactions of the ASME

Volumn 129, Issue 9, 2007, Pages 1228-1240

  Marjavaara, B Daniel ^a   Lundström, T Staffan ^a   Goel, Tushar ^b   Mack, Yolanda ^b   Shyy, Wei ^c  

^a LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Diffuser; Evolutionary algorithms; Neural networks; Pareto fronts; Response surface methodology; Surrogate model approximations

Indexed keywords

APPROXIMATION THEORY; BOUNDARY CONDITIONS; COMPUTATIONAL FLUID DYNAMICS; CONSTRAINT THEORY; EVOLUTIONARY ALGORITHMS; HYDRAULIC TURBINES; NAVIER STOKES EQUATIONS; NEURAL NETWORKS; OPTIMIZATION;

DIFFUSER PERFORMANCE; HYBRID FORMULATION; POLYNOMIAL RESPONSE; WALL SEPARATION;

DIFFUSERS (FLUID);

EID: 34748843385     PISSN: 00982202     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2754324     Document Type: Article

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