A platform for research: civil engineering, architecture and urbanism
Abstract A basic approach to reduce the design and optimization time via surrogate modeling is to select a right type of surrogate model for a particular problem, where the model should have better accuracy and prediction capability. A multi-surrogate approach can protect a designer to select a wrong surrogate having high uncertainty in the optimal zone of the design space. Numerical analysis and optimization of a jet pump via multi-surrogate modeling have been reported in this work. Design variables including area ratio, mixing tube length to diameter ratio and setback ratio were introduced to increase the hydraulic efficiency of the jet pump. Reynolds-averaged Navier–Stokes equations were solved and responses were computed. Among different surrogate models, Sheppard function based surrogate shows better accuracy in data fitting while the radial basis neural network produced highest enhanced efficiency. The efficiency enhancement was due to the reduction of losses in the flow passage.
Abstract A basic approach to reduce the design and optimization time via surrogate modeling is to select a right type of surrogate model for a particular problem, where the model should have better accuracy and prediction capability. A multi-surrogate approach can protect a designer to select a wrong surrogate having high uncertainty in the optimal zone of the design space. Numerical analysis and optimization of a jet pump via multi-surrogate modeling have been reported in this work. Design variables including area ratio, mixing tube length to diameter ratio and setback ratio were introduced to increase the hydraulic efficiency of the jet pump. Reynolds-averaged Navier–Stokes equations were solved and responses were computed. Among different surrogate models, Sheppard function based surrogate shows better accuracy in data fitting while the radial basis neural network produced highest enhanced efficiency. The efficiency enhancement was due to the reduction of losses in the flow passage.
Jet Pump Design Optimization by Multi-Surrogate Modeling
2014-09-24
7 pages
Article (Journal)
Electronic Resource
English
Jet Pump Design Optimization by Multi-Surrogate Modeling
Online Contents | 2015
|Surrogate-based optimization for multi-objective toll design problems
Elsevier | 2018
|Surrogate Based Multi-objective Optimization for Energy-Saving Building Design
Springer Verlag | 2022
|Multi-fidelity POD surrogate-assisted optimization: Concept and aero-design study
British Library Online Contents | 2017
|Surrogate Model-Based Engineering Design and Optimization
UB Braunschweig | 2020
|