Results 21 to 30 of about 22,296,575 (338)

Efficient simulation-driven design optimization of antennas using co-kriging [PDF]

open access: yes, 2012
We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through ...
Couckuyt, Ivo   +3 more
core   +1 more source

Response surface methodology using a prior knowledge and its application to pin fin heat sink design

open access: yesNihon Kikai Gakkai ronbunshu, 2019
Large number of simulations or experiments is needed for optimization and uncertainty quantification of a mechanical system. Therefore, if simulations or experiments are numerically expensive and time consuming, it is difficult to execute optimization ...
Kazuo MUTO, Makoto ONODERA
doaj   +1 more source

A Surrogate Model of Gravitational Waveforms from Numerical Relativity Simulations of Precessing Binary Black Hole Mergers [PDF]

open access: yes, 2017
We present the first surrogate model for gravitational waveforms from the coalescence of precessing binary black holes. We call this surrogate model NRSur4d2s. Our methodology significantly extends recently introduced reduced-order and surrogate modeling
Blackman, Jonathan   +6 more
core   +3 more sources

Sequential optimization of strip bending process using multiquadric radial basis function surrogate models [PDF]

open access: yes, 2013
Surrogate models are used within the sequential optimization strategy for forming processes. A sequential improvement (SI) scheme is used to refine the surrogate model in the optimal region. One of the popular surrogate modeling methods for SI is Kriging.
Boogaard, A.H. van den   +2 more
core   +6 more sources

Hierarchical Surrogate-Assisted Evolutionary Algorithm for Integrated Multi-Objective Optimization of Well Placement and Hydraulic Fracture Parameters in Unconventional Shale Gas Reservoir

open access: yesEnergies, 2022
Integrated optimization of well placement and hydraulic fracture parameters in naturally fractured shale gas reservoirs is of significance to enhance unconventional hydrocarbon energy resources in the oil and gas industry.
Jun Zhou   +3 more
doaj   +1 more source

Multiscale topology optimisation with nonparametric microstructures using three-dimensional convolutional neural network (3D-CNN) models

open access: yesVirtual and Physical Prototyping, 2021
Additive manufacturing enables the fabrication of parts with complex geometries, thereby opening up the design space from part scale to microarchitecture scale.
Guo Yilin   +2 more
doaj   +1 more source

Comparison of a Response Surface Method and Artificial Neural Network in Predicting the Aerodynamic Performance of a Wind Turbine Airfoil and Its Optimization

open access: yesApplied Sciences, 2020
To find the optimal design for an engineering object, thousands of (or even more) simulations should be implemented to obtain the outcome data for the variously designed objects.
Sahuck Oh
doaj   +1 more source

Influence of diesel surrogates on the behavior of simplified spray models [PDF]

open access: yes, 2012
Numerous experimental investigations make use of diesel surrogates to make the computational time reasonable. In the few studies where measured (surrogate and real diesel) and computed (surrogate only) results have been compared, the selection ...
F Battin-Leclerc   +6 more
core   +2 more sources

Fast prediction and evaluation of gravitational waveforms using surrogate models [PDF]

open access: yes, 2013
[Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of
Field, Scott E.   +4 more
core   +6 more sources

A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury

open access: yesDiagnostic and Prognostic Research, 2017
Background Surrogate outcomes are often utilized when disease outcomes are difficult to directly measure. When a biological threshold effect exists, surrogate outcomes may only represent disease in specific subpopulations.
Derek K. Smith   +3 more
doaj   +1 more source

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