This article provides an overview of multi-fidelity modeling trends. Fidelity in modeling refers to the level of detail and accuracy provided by a predictive model or simulation. Generally …
P Jiang, Q Zhou, X Shao, P Jiang, Q Zhou, X Shao - 2020 - Springer
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Multifidelity surrogates are essential in cases where it is not affordable to have more than a few high-fidelity samples, but it is affordable to have as many low-fidelity samples as …
Multi-fidelity (MF) metamodeling approaches have recently attracted a significant amount of attention in simulation-based design optimization due to their ability to conduct trade-offs …
W Zhu, JW Wang, L Yang, YC Zhou, YG Wei… - Surface and Coatings …, 2017 - Elsevier
Prediction of the stress distribution on a 3D turbine blade coated with thermal barrier coatings (TBCs) plays a key role in analyzing the failure of TBCs. In this work, a 3D finite …
P Guzman-Avalos, D Molinero-Hernández… - Alexandria Engineering …, 2023 - Elsevier
Abstract Wastewater Treatment Plants (WWTPs) are considered as an Ultra Low Head (ULH) hydraulic resource. This has provoked an inadequate extraction of its potential energy …
In this paper we demonstrate the ability to perform gradient-free aerodynamic shape optimization using Large Eddy Simulation (LES) with the Mesh Adaptive Direct Search …
C Ning, W Zhang - Aerospace Science and Technology, 2024 - Elsevier
Developing a high-fidelity, cost-effective aerodynamic database is crucial for addressing the balance of accuracy and cost in aircraft design. Recently, data fusion technology has …
In this paper we demonstrate the ability to perform shape optimization of Low Pressure Turbine (LPT) cascades using a combination of Large Eddy Simulation (LES) and the Mesh …