Model Reduction Framework with a New Take on Active Subspaces for Optimization Problems with Linearized Fluid‐Structure Interaction Constraints-Reference-Cited by-同舟云学术

Model Reduction Framework with a New Take on Active Subspaces for Optimization Problems with Linearized Fluid‐Structure Interaction Constraints

Published:2020-08-04 Issue:19 Volume:122 Page:5450-5481
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int J Numer Methods Eng

Author:

Boncoraglio Gabriele¹^ORCID,Farhat Charbel¹²³^ORCID,Bou‐Mosleh Charbel⁴

Affiliation:

1. Department of Aeronautics and Astronautics Stanford University Durand Building, 496 Lomita Mall Stanford 94305‐4035 CA USA

2. Department of Mechanical Engineering Stanford University Building 530, 440 Escondido Mall Stanford 94305‐3030 CA USA

3. Institute for Computational and Mathematical Engineering Stanford University Huang Engineering Center, 475 Via Ortega, Suite 060 Stanford 94305‐4042 CA USA

4. Department of Mechanical Engineering Notre Dame University‐Louaize Zouk Mosbeh Lebanon

Funder

Boeing

King Abdulaziz City for Science and Technology

Office of Naval Research

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6376

Reference24 articles.

1. Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization

2. Towards Real-Time Computational-Fluid-Dynamics-Based Aeroelastic Computations Using a Database of Reduced-Order Information

3. An Online Method for Interpolating Linear Parametric Reduced-Order Models

4. Efficient greedy algorithms for high-dimensional parameter spaces with applications to empirical interpolation and reduced basis methods

5. Mixed explicit/implicit time integration of coupled aeroelastic problems: Three-field formulation, geometric conservation and distributed solution

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Local Approach to Parameter Space Reduction for Regression and Classification Tasks;Journal of Scientific Computing;2024-05-07

2. A two-step fluid–structure approach for the vibration analysis of flexible propeller blade;Journal of Fluids and Structures;2024-05

3. A non‐linear non‐intrusive reduced order model of fluid flow by auto‐encoder and self‐attention deep learning methods;International Journal for Numerical Methods in Engineering;2023-04-03

4. Local Basis Approach for the Reduction of CFD-Based Embedded Boundary Models;AIAA SCITECH 2023 Forum;2023-01-19

5. A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls;International Journal for Numerical Methods in Engineering;2022-11-15