A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
A priori hyperreduction method: an adaptive approach
D Ryckelynck - Journal of computational physics, 2005 - Elsevier
Model reduction methods are usually based on preliminary computations to build the shape
function of the reduced order model (ROM) before the computation of the reduced state …
function of the reduced order model (ROM) before the computation of the reduced state …
[HTML][HTML] State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
Recent digital advances have popularized predictive maintenance (PMx), offering enhanced
efficiency, automation, accuracy, cost savings, and independence in maintenance …
efficiency, automation, accuracy, cost savings, and independence in maintenance …
Stable Galerkin reduced order models for linearized compressible flow
The Galerkin projection procedure for construction of reduced order models of compressible
flow is examined as an alternative discretization of the governing differential equations. The …
flow is examined as an alternative discretization of the governing differential equations. The …
Future of airplane aeroelasticity
E Livne - Journal of Aircraft, 2003 - arc.aiaa.org
Aeroelasticity is still dynamic, challenging, and a key part of cutting-edge airplane
technology. Emerging trends, as well as challenges and needs in the eld of airplane …
technology. Emerging trends, as well as challenges and needs in the eld of airplane …
[图书][B] Higher order dynamic mode decomposition and its applications
JM Vega, S Le Clainche - 2020 - books.google.com
Higher Order Dynamic Mode Decomposition and Its Applications provides detailed
background theory, as well as several fully explained applications from a range of industrial …
background theory, as well as several fully explained applications from a range of industrial …
A partitioned model order reduction approach to rationalise computational expenses in nonlinear fracture mechanics
We propose in this paper a reduced order modelling technique based on domain
partitioning for parametric problems of fracture. We show that coupling domain …
partitioning for parametric problems of fracture. We show that coupling domain …
[图书][B] Advanced reduced order methods and applications in computational fluid dynamics
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …
science and engineering, motivated by several reasons, of which we mention just a few …
Proper orthogonal decomposition, surrogate modelling and evolutionary optimization in aerodynamic design
E Iuliano, D Quagliarella - Computers & Fluids, 2013 - Elsevier
A computational methodology is proposed for CFD-based aerodynamic design to exploit a
reduced order model as surrogate evaluator. The model is based on the Proper Orthogonal …
reduced order model as surrogate evaluator. The model is based on the Proper Orthogonal …
Interpolation-based reduced-order modelling for steady transonic flows via manifold learning
T Franz, R Zimmermann, S Görtz… - International Journal of …, 2014 - Taylor & Francis
This paper presents a parametric reduced-order model (ROM) based on manifold learning
(ML) for use in steady transonic aerodynamic applications. The main objective of this work is …
(ML) for use in steady transonic aerodynamic applications. The main objective of this work is …