Kriging-Based Framework Applied to a Multi-Point, Multi-Objective Engine Air-Intake Duct Aerodynamic Optimization Problem

Drężek, Przemysław; Kubacki, Sławomir; Żółtak, J.

doi:10.3390/aerospace10030266

Cited by 2 publications

(2 citation statements)

References 66 publications

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“…For the parameterized models of steering components, the response surface functions are constructed using Genetic Aggregation (GA)method [15], Neural Network (NN) method [16], and Kriging (K) method [17]. Since P10 is determined by P9 and P6, the fitting effects of P6, P8, and P9 will be verified.…”

Section: Fitting Of Response Surface Functionsmentioning

confidence: 99%

Lightweight steering equipment based on prestressed modal analysis

Wang

2024

J. vibroeng.

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As the key component to control the driving direction of the vehicle, the steering device always bears large vibration and load. In order to improve structural performance and reduce costs, a multi-objective optimization method based on the results of prestressed modal analysis was proposed, which can achieve significant lightweight and cost-effectiveness improvement. Based on the principle and working characteristics of the steering device, the minimum value of mass, minimum value of maximum stress, maximum value of equivalent stiffness were set as optimization objectives. Through finite element analysis, the prestressed modal module was constructed, and the strength and modal characteristics of the steering device were obtained. In order to verify the accuracy of prestressed modal analysis, the vibration testing experimental platform was built in a non free state. The excitation and response signals can be obtained through sensors and data acquisition devices and used as input and output data. According to the comparative analysis of simulated vibration modes, it can be concluded that the coupling analysis of strength and mode is more in line with actual boundary conditions and has high reliability. The DOE (Design of Experience) method was adopted to construct discrete corresponding values between design variables and optimization objectives based on the results of prestressed modal analysis. In order to better evaluate the cost-effectiveness of lightweight, a comparative analysis was conducted on the results of primary and secondary lightweight. The results show that the prestressed modal analysis method can achieve good dynamic analysis accuracy. Without reducing strength and equivalent stiffness, the mass of the steering device can be reduced by 14 %, achieving high economic benefits.

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Section: Fitting Of Response Surface Functionsmentioning

confidence: 99%

Lightweight steering equipment based on prestressed modal analysis

Wang

2024

J. vibroeng.

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“…The leave-one-out cross-validation (LOOCV) method is adopted to evaluate the Kriging surrogate model's ability to predict objective values at unobserved locations. A detailed description of the LOOCV procedure can be found in [50].…”

Section: Optimization Detailsmentioning

confidence: 99%

Multi-Objective Bayesian Optimization Design of Elliptical Double Serpentine Nozzle

Zhang,

Yang,

Wang

et al. 2023

Aerospace

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The use of traditional optimization methods in engineering design problems, specifically in aerodynamic and infrared stealth optimization for engine nozzles, requires a large number of objective function evaluations, therefore introducing a considerable challenge in terms of time constraints. In this paper, this limitation is addressed by using a sample-efficient multi-objective Bayesian optimization that takes Kriging as a surrogate model and Expected Hypervolume Improvement as the infill criterion. Using this approach, the probabilistic model is continuously established and updated, and the approximate Pareto front is obtained at a relatively small computational budget. The objective of this work is to evaluate the applicability of employing a multi-objective Bayesian optimization framework for the aerodynamic-infrared shape optimization of an elliptical double serpentine nozzle at 6 km flight condition, where the objective functions are evaluated by means of high-fidelity computational fluid dynamics and reversed Monte Carlo ray tracing simulations. We achieve good results in both infrared radiation signature reduction and aerodynamic performance improvement with a reasonable number of evaluations, indicating that the proposed method is effective and efficient for tackling the computationally intensive optimization challenges in the aircraft design.

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Kriging-Based Framework Applied to a Multi-Point, Multi-Objective Engine Air-Intake Duct Aerodynamic Optimization Problem

Cited by 2 publications

References 66 publications

Lightweight steering equipment based on prestressed modal analysis

Lightweight steering equipment based on prestressed modal analysis

Multi-Objective Bayesian Optimization Design of Elliptical Double Serpentine Nozzle

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