Results 21 to 30 of about 56,902 (196)

Optimization of aero-engine combustion chambers with the assistance of Hierarchical-Kriging surrogate model based on POD downscaling method

open access: yesAdvances in Aerodynamics, 2023
In view of the long calculation cycle, high processing test and cost of the traditional aero-engine combustion chamber design process, which restricts the engine optimization design cycle, this paper innovatively proposes a surrogate model for the ...
Shuhong Tong   +7 more
doaj   +1 more source

Strategies for balancing exploration and exploitation in electromagnetic optimisation [PDF]

open access: yes, 2012
The paper focuses on the advantages and drawbacks of different strategies which may be used to assist kriging surrogate modelling with the purpose of selecting multiple design vectors for evaluation when stepping forward in optimisation routines.
Rotaru, M., Sykulski, J.K., Xiao, Song
core   +1 more source

A Comparative Study of Different Multi-Fidelity Kriging Models for Reliability Analysis

open access: yesApplied Sciences
The integration of active learning methods and multi-fidelity (MF) Kriging models has been demonstrated to effectively reduce the number of high-fidelity (HF) samples required for reliability analysis.
Shichao Feng   +5 more
doaj   +1 more source

A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model

open access: yesApplied Sciences, 2019
Dynamic model updating based on finite element method (FEM) has been widely investigated for structural damage identification, especially for static structures. Despite the substantial advances in this method, the key issue still needs to be addressed to
Zhiwen Lu, Yong Lv, Huajiang Ouyang
doaj   +1 more source

Ordinary kriging for the estimation of vein type copper deposit: A case study of the Chelkureh, Iran [PDF]

open access: yesJournal of Mining and Metallurgy. Section A: Mining, 2015
Estimation of mineral resources and reserves with low values of error is essential in mineral exploration. The aim of this study is to estimate and model a vein type copper deposit using ordinary kriging method.
Daya Ali Akbar
doaj   +1 more source

Polynomial-Chaos-based Kriging

open access: yes, 2015
Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability.
Schoebi, R., Sudret, B., Wiart, J.
core   +1 more source

Ride comfort optimization of a multi-axle heavy motorized wheel dump truck based on virtual and real prototype experiment integrated Kriging model

open access: yesAdvances in Mechanical Engineering, 2015
The optimization of hydro-pneumatic suspension parameters of a multi-axle heavy motorized wheel dump truck is carried out based on virtual and real prototype experiment integrated Kriging model in this article.
Bian Gong, Xuexun Guo, Sanbao Hu, Lin Xu
doaj   +1 more source

Optimization of Combustion Chamber for Diesel Engine Using Kriging Model

open access: yesJournal of Fluid Science and Technology, 2006
Diesel engine combustion chamber which reduces exhaust emission has been designed using CFD analysis and optimization techniques. In order to save computational time for design, the Kriging model, one of the response surface models, is adopted here.
Shinkyu JEONG   +2 more
doaj   +1 more source

Low-Boom and Low-Drag Optimization of the Twin Engine Version of Silent Supersonic Business Jet

open access: yesJournal of Fluid Science and Technology, 2008
Multi-Objective Optimization has been applied to a design problem of the twin engine concept for Silent Supersonic Business Jet (SSBJ). This problem aims to find main wing, body, tail wing and engine nacelle configurations, which can minimize both sonic ...
Koma SATO   +5 more
doaj   +1 more source

Advances in Kriging-Based Autonomous X-Ray Scattering Experiments. [PDF]

open access: yes, 2020
Autonomous experimentation is an emerging paradigm for scientific discovery, wherein measurement instruments are augmented with decision-making algorithms, allowing them to autonomously explore parameter spaces of interest.
Doerk, Gregory S   +4 more
core  

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