000218592 001__ 218592
000218592 005__ 20190604054656.0
000218592 0247_ $$2doi$$a10.1007/s00158-016-1465-7
000218592 022__ $$a1615-1488
000218592 02470 $$2ISI$$a000393599400004
000218592 037__ $$aARTICLE
000218592 245__ $$aToward design optimization of a Pelton turbine runner
000218592 260__ $$bSpringer Verlag$$c2017$$aNew York
000218592 269__ $$a2017
000218592 300__ $$a15
000218592 336__ $$aJournal Articles
000218592 520__ $$aThe objective of the present paper is to propose a strategy to optimize the performance of a Pelton runner based on a parametric model of the bucket geometry, massive particle based numerical simulations and advanced optimization strategies to reduce the dimension of the design problem. The parametric model of the Pelton bucket is based on four bicubic Bézier patches and the number of free parameters is reduced to 21. The numerical simulations are performed using the finite volume particle method, which benefits from a conservative, consistent, arbitrary Lagrangian Eulerian formulation. The resulting design problem is of High-dimension with Expensive Black-box (HEB) performance function. In order to tackle the HEB problem, a preliminary exploration is performed using 2’000 sampled runners geometry provided by a Halton sequence. A cubic multivariate adaptive regression spline surrogate model is built according to the simulated performance of these runners. Moreover, an original clustering approach is proposed to decompose the design problem into four sub-problems of smaller dimensions that can be addressed with more conventional optimization techniques.
000218592 6531_ $$aPelton turbine
000218592 6531_ $$aBucket shape parameterization
000218592 6531_ $$aDesign optimization
000218592 6531_ $$aHigh-dimension
000218592 6531_ $$aFinite volume particle method
000218592 700__ $$0244465$$g170539$$aVessaz, Christian
000218592 700__ $$aAndolfatto, Loïc
000218592 700__ $$aAvellan, François
000218592 700__ $$aTournier, Christophe
000218592 773__ $$q37-51$$k1$$j55$$tStructural and Multidisciplinary Optimization
000218592 8564_ $$uhttps://infoscience.epfl.ch/record/218592/files/Manuscript_wo_colors.pdf$$zn/a$$s8051317$$yn/a
000218592 909C0 $$xU10309$$0252135$$pLMH
000218592 909CO $$ooai:infoscience.tind.io:218592$$qGLOBAL_SET$$pSTI$$particle
000218592 917Z8 $$x243348
000218592 937__ $$aEPFL-ARTICLE-218592
000218592 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000218592 980__ $$aARTICLE