Co-kriging based multi-fidelity uncertainty quantification of beam vibration using coarse and fine finite element meshes

DOI10.1080/15502287.2021.1921883MaRDI QIDQ6573119

Ranjan Ganguly, [[Person:6573118|Author name not available (Why is that?)]]

Publication date: 16 July 2024

Published in: International Journal for Computational Methods in Engineering Science and Mechanics (Search for Journal in Brave)

Mathematics Subject Classification ID

Could not fetch data.

Cites Work

Title not available (Why is that?)
Exploratory designs for computational experiments
Kriging metamodeling in simulation: a review
Design and analysis of computer experiments. With comments and a rejoinder by the authors
Uncertainty quantification for a sailing yacht hull, using multi-fidelity Kriging
Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-Kriging surrogate models
A taxonomy of global optimization methods based on response surfaces
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method
Extended co-Kriging interpolation method based on multi-fidelity data
Multi-fidelity optimization via surrogate modelling
The approximation power of moving least-squares
Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
Variational Bayes for generalized autoregressive models
Simulation and the Monte Carlo Method
Multi-fidelity analysis and uncertainty quantification of beam vibration using correction response surfaces
Multi-fidelity response surfaces for uncertainty quantification in beams using coarse and fine finite element discretizations

This page was built for publication: Co-kriging based multi-fidelity uncertainty quantification of beam vibration using coarse and fine finite element meshes

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6573119)