Computationally efficient optimisation of elbow-type draft tube using neural network surrogates-Reference-Cited by-同舟云学术

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Computationally efficient optimisation of elbow-type draft tube using neural network surrogates

Published:2024-03 Issue: Volume:90 Page:129-152
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Sikirica Ante,Lučin Ivana^ORCID,Alvir Marta^ORCID,Kranjčević Lado,Čarija Zoran^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. Multi-objective optimization of turbomachinery using improved nsga-ii and approximation model;Wang;Comput. Methods Appl. Mech. Eng.,2011

2. Multiobjective optimization design of a pump–turbine impeller based on an inverse design using a combination optimization strategy;Yang;J. Fluids Eng.,2014

3. Hydropower Engineering;Warnick,1984

4. Rotating vortex rope formation and mitigation in draft tube of hydro turbines–a review from experimental perspective;Kumar;Renew. Sustain. Energy Rev.,2021

5. A new draft tube shape optimisation methodology of introducing inclined conical diffuser in hydraulic turbine;Zhou;Energy,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization design of an innovative francis draft tube: Insight into improving operational flexibility;Energy;2024-07

2. Optimization of Elbow Draft Tubes for Variable Speed Propeller Turbine;Water;2024-05-20

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