Skip to Main content Skip to Navigation
Journal articles

Toward design optimization of a Pelton turbine runner

Abstract : The 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.
Complete list of metadata
Contributor : Christophe Tournier Connect in order to contact the contributor
Submitted on : Friday, May 12, 2017 - 11:22:42 AM
Last modification on : Monday, January 17, 2022 - 6:46:02 PM
Long-term archiving on: : Sunday, August 13, 2017 - 12:39:30 PM


Files produced by the author(s)



Christian Vessaz, Loïc Andolfatto, François Avellan, Christophe Tournier. Toward design optimization of a Pelton turbine runner. Structural and Multidisciplinary Optimization, Springer Verlag (Germany), 2017, ⟨10.1007/s00158-016-1465-7⟩. ⟨hal-01521737⟩



Les métriques sont temporairement indisponibles