Multi-fidelity shape optimization of hydraulic turbine runner blades using a multi-objective mesh adaptive direct search algorithm

Bahrami, Salman; Tribes, Christophe; Devals, Christophe; Vu, Thi Thu Ha; Guibault, François

doi:10.1016/j.apm.2015.09.008

Cited by 24 publications

(6 citation statements)

References 25 publications

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“…MADS has previously been used for optimization using LES of the SD7003 airfoil at low Reynolds numbers by Karbasian and Vermeire [53]. MADS has also been used successfully with RANS simulations to design hydraulic turbine runner blades by Bahrami [54] and Bahrami et al [55]. It was also used to optimize the Fontan procedure by simulating the flow field within vessels by Yang [56].…”

Section: Gradient-free Methodsmentioning

confidence: 99%

High-fidelity gradient-free optimization of low-pressure turbine cascades

Aubry¹,

Karbasian²,

Vermeire³

2022

Computers & Fluids

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Section: Gradient-free Methodsmentioning

confidence: 99%

High-fidelity gradient-free optimization of low-pressure turbine cascades

Aubry¹,

Karbasian²,

Vermeire³

2022

Computers & Fluids

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“…Figure 5 shows the optimization flowchart, which is described in the following subsections. The multi-level optimization methodology and its formulation have been presented in previous publications (Bahrami et al 2013(Bahrami et al , 2016.…”

Section: Test Case 1: Hydraulic Turbine Runner Bladesmentioning

confidence: 99%

Application of a territorial-based filtering algorithm in turbomachinery blade design optimization

Bahrami

Khelghatibana

Tribes

et al. 2016

Engineering Optimization

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A territorial-based filtering algorithm (TBFA) is proposed as an integration tool in a multi-level design optimization methodology. The design evaluation burden is split between low-and high-cost levels in order to properly balance the cost and required accuracy in different design stages, based on the characteristics and requirements of the case at hand. TBFA is in charge of connecting those levels by selecting a given number of geometrically different promising solutions from the low-cost level to be evaluated in the high-cost level. Two test case studies, a Francis runner and a transonic fan rotor, have demonstrated the robustness and functionality of TBFA in real industrial optimization problems. ARTICLE HISTORY

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“…The dam-foundation-rock interaction were analyzed by [27] using a 3-D FE numerical model that represents an earthfill dam, and by using IZIIS software to determine the dynamic behavior of the earthfill dam material. Previous studies were also conducted on the dynamic analysis of hydropower plant water system [14,28,29]. However, in these studies, the dynamic behavior of dams have been studied without including the influence of hydropower plants [30].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Operation Program of a Hydropower Plant Based on Minimizing the Principal Stress: Haditha Dam Case Study

Ameen

Mohammad

et al. 2018

Water

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Dam operation and management have become more complex recently because of the need for considering hydraulic structure sustainability and environmental protect on. An Earthfill dam that includes a powerhouse system is considered as a significant multipurpose hydraulic structure. Understanding the effects of running hydropower plant turbines on the dam body is one of the major safety concerns for earthfill dams. In this research, dynamic analysis of earthfill dam, integrated with a hydropower plant system containing six vertical Kaplan turbines (i.e., Haditha dam), is investigated. In the first stage of the study, ANSYS-CFX was used to represent one vertical Kaplan turbine unit by designing a three-dimensional (3-D) finite element (FE) model. This model was used to differentiate between the effect of turbine units’ operation on dam stability in accordance to maximum and minimum reservoir upstream water levels, and the varying flowrates in a fully open gate condition. In the second stage of the analysis, an ANSYS-static modeling approach was used to develop a 3-D FE earthfill dam model. The water pressure pattern determined on the boundary of the running turbine model is transformed into the pressure at the common area of the dam body with turbines. The model is inspected for maximum and minimum upstream water levels. Findings indicate that the water stress fluctuations on the dam body are proportional to the inverse distance from the turbine region. Also, it was found that the cone and outlet of the hydropower turbine system are the most affected regions when turbine is running. Based on the attained results, a systematic operation program was proposed in order to control the running hydropower plant with minimized principal stress at selected nodes on the dam model and the six turbines.

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Multi-fidelity shape optimization of hydraulic turbine runner blades using a multi-objective mesh adaptive direct search algorithm

Cited by 24 publications

References 25 publications

High-fidelity gradient-free optimization of low-pressure turbine cascades

High-fidelity gradient-free optimization of low-pressure turbine cascades

Application of a territorial-based filtering algorithm in turbomachinery blade design optimization

A Systematic Operation Program of a Hydropower Plant Based on Minimizing the Principal Stress: Haditha Dam Case Study

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