AUTOMATIC GEOMETRICAL OPTIMIZATION BY WAY OF NUMERICAL FLOW MODELS
The potentialities in numerical flow modeling available today allow performing more and more representative and accurate computations of an increasing part of hydraulic engineering practical problems. In some cases, numerical simulation can be used as an alternative, or at least an efficient pre-design tool, to more classic physical modeling. In this framework, the paper presents the application of integrated numerical tools to the automatic optimization of the geometry of a guide-wall at the entrance of a channel. The simulations have been performed by using a Genetic Algorithm based optimization tool coupled to a 2D free surface flow model. This finite volume multibock flow solver, WOLF2D, solves the conservative form of the classical shallow water equations together with a depth-integrated k-ε type turbulence model. The calculations have been performed on a cluster of 12 processors to reach a satisfactory solution in less than 2.5 days (96 solutions tested). On the basis of the numerical results and suitability indicators, the optimal solution is objectively better than the other tested geometries. This confirms the efficiency of the automatic optimization procedure.
Shallow water equations Depth-averaged turbulence model Automatic shape optimization Genetic Algorithms
S.Erpicum P.Archambeau B.Dewals M.Pirotton
Hydrology, Applied Hydrodynamics and Hydraulic Constructions Research Unit (HACH), ArGEnCo Departmen Hydrology, Applied Hydrodynamics and Hydraulic Constructions Research Unit (HACH), ArGEnCo Departmen
国际会议
第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)
南京
英文
1663-1668
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）