Results 21 to 30 of about 10,081 (210)

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

Pca & Kriging For Surrogate Models

open access: yes2nd General Meeting and 2nd Workshop on Smart Energy Carriers in Industry, 2016
Presentation at the 2nd General Meeting and 2nd Workshop on Smart Energy Carriers in ...
Aversano, Gianmarco   +2 more
openaire   +2 more sources

Assessment of Groundwater Quality Spatial Distribution and Appointment Optimize Network of Shahrkord Plain Aquifer Using Geostatistical Methods [PDF]

open access: yesپژوهش‌های آبخیزداری, 2019
As the most valuable natural resources, protection and management of groundwater is vital. One of the best ways to protect groundwater resources is monitoring groundwater quality spatial variationsand then managing the water resources exploitations and ...
Mehdi Abdollahi Mansourkhani   +3 more
doaj   +1 more source

Small ensembles of kriging models for optimization

open access: yesCoRR, 2016
The Efficient Global Optimization (EGO) algorithm uses a conditional Gaus-sian Process (GP) to approximate an objective function known at a finite number of observation points and sequentially adds new points which maximize the Expected Improvement criterion according to the GP.
Hossein Mohammadi   +2 more
openaire   +3 more sources

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

Kriging modelization in predicting metal sheet elongation [PDF]

open access: yesQuality and Reliability Engineering International, 2018
AbstractModern industries are increasingly replacing real experiments with non‐stochastic simulation models due to their restrained costs and growing reliability. The non‐stochastic simulator used in this paper is the Finite Element simulation code (FEM), a widely used numerical technique for the engineering problems modeled by a system of partial ...
Vicario G., Giraudo M. T., Cali V.
openaire   +4 more sources

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

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

Kriging, co-kriging and space mapping for microwave circuit modeling

open access: yes2011 41st European Microwave Conference, 2011
Space mapping (SM) is a popular technique that allows creating computationally cheap and reasonably accurate surrogates of EM-simulated microwave structures (so-called fine models) using underlying coarse models, typically equivalent circuits. Here, we consider various ways of enhancing SM surrrogates by exploiting additional training data as well as ...
Couckuyt, Ivo   +2 more
openaire   +2 more sources

Kriging Models that are Robust with Respect to Simulation Errors [PDF]

open access: yesSSRN Electronic Journal, 2007
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables. In the construction of meta-models, these errors are often ignored. Simulation-model errors may be magnified by the meta-model. Therefore,
Siem, A.Y.D., Hertog, D. den
openaire   +4 more sources

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