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Aircraft manufacturing is the jewel in the crown of industry, in which generating high-fidelity airfoil geometries with controllable and editable representations remains a fundamental challenge. Existing deep learning methods, which…

Machine Learning · Computer Science 2025-12-15 Jinouwen Zhang , Junjie Ren , Qianhong Ma , Jianyu Wu , Aobo Yang , Yan Lu , Lu Chen , Hairun Xie , Jing Wang , Miao Zhang , Wanli Ouyang , Shixiang Tang

Shapes do not define a linear space. This paper explores the linear structure of deformations as a representation of shapes. This transforms shape optimization to a variant of optimal control. The numerical challenges of this point of view…

Optimization and Control · Mathematics 2022-03-15 Stephan Schmidt , Volker H. Schulz

Effective airfoil geometry optimization requires exploring a diverse range of designs using as few design variables as possible. This study introduces AirDbM, a Design-by-Morphing (DbM) approach specialized for airfoil optimization that…

Machine Learning · Computer Science 2025-11-17 Sangjoon Lee , Haris Moazam Sheikh

Computational modeling of aerodynamics is a key problem in aerospace engineering, often involving flows interacting with solid objects such as airfoils. Deep surrogate models have emerged as purely data-driven approaches that learn direct…

Machine Learning · Computer Science 2024-12-16 Jacob Helwig , Xuan Zhang , Haiyang Yu , Shuiwang Ji

This study deals with the process and benefits of generating aerodynamic indicial-admittance functions with the support of computational fluid dynamics based on the Euler equations. A simple parametric analytical approximation is alongside…

Fluid Dynamics · Physics 2020-01-22 Marcello Righi , Marco berci

This study deals with generating aerodynamic indicial-admittance functions for predicting the unsteady lift of two-dimensional aerofoils in subsonic flow, using approximate numerical and analytical formulations. Both a step-change in the…

Fluid Dynamics · Physics 2016-08-11 Marco Berci , Marcello Righi

In this work we present an advanced computational pipeline for the approximation and prediction of the lift coefficient of a parametrized airfoil profile. The non-intrusive reduced order method is based on dynamic mode decomposition (DMD)…

Numerical Analysis · Mathematics 2020-11-23 Marco Tezzele , Nicola Demo , Giovanni Stabile , Andrea Mola , Gianluigi Rozza

We present a flexible interactive 3D morpho-kinematical modeling application for astrophysics. Compared to other systems, our application reduces the restrictions on the physical assumptions, data type and amount that is required for a…

Instrumentation and Methods for Astrophysics · Physics 2016-11-17 Wolfgang Steffen , Nicholas Koning , Stephan Wenger , Christophe Morisset , Marcus Magnor

Traditionally, deriving aerodynamic parameters for an airfoil via Computational Fluid Dynamics requires significant time and effort. However, recent approaches employ neural networks to replace this process, it still grapples with…

Fluid Dynamics · Physics 2024-03-25 Zemin Cai , Zhengyuan Fan , Tianshu Liu

The parametric equations of the plane curves determining the equilibrium shapes that a uniform inextensible elastic ring or tube could take subject to a uniform hydrostatic pressure are presented in an explicit analytic form. The…

Mathematical Physics · Physics 2010-08-04 Peter A. Djondjorov , Vassil M. Vassilev , Ivailo M. Mladenov

We present applications of modal analysis techniques to study, model, and control canonical aerodynamic flows. To illustrate how modal analysis techniques can provide physical insights in a complementary manner, we selected four fundamental…

Airfoil aerodynamic optimization based on single-point design may lead to poor off-design behaviors. Multipoint optimization that considers the off-design flow conditions is usually applied to improve the robustness and expand the flight…

Fluid Dynamics · Physics 2022-09-21 Yunjia Yang , Runze Li , Yufei Zhang , Haixin Chen

An iterative, CFD-based approach for aeroelastic computations in the frequency domain is presented. The method relies on a linearized formulation of the aeroelastic problem and a fixed-point iteration approach and enables the computation of…

Fluid Dynamics · Physics 2015-06-25 David Amsallem , Daniel Neumann , Youngsoo Choi , Charbel Farhat

A numerical framework is developed to model contrail formation in the near-field exhaust of aircraft engines, resolving non-equilibrium phase transitions in compressible, multi-component, non-ideal fluid flows. The approach combines…

Fluid Dynamics · Physics 2025-04-30 Katharina Tegethoff , Andrew P. S. Wheeler

The field of numerical simulation is of significant importance for the design and management of real-world systems, with partial differential equations (PDEs) being a commonly used mathematical modeling tool. However, solving PDEs remains…

Machine Learning · Computer Science 2023-06-21 Wenzhuo Liu , Mouadh Yagoubi , Marc Schoenauer

Calculating by analytical theory the deformation of finite-sized elastic bodies in response to internally applied forces is a challenge. Here, we derive explicit analytical expressions for the amplitudes of modes of surface deformation of a…

Soft Condensed Matter · Physics 2024-07-15 Lukas Fischer , Andreas M. Menzel

The aim of this present work is to develop an improved and more precise analytical modelling of a steady irrotational laminar Shock Wave- Boundary Layer Interaction for weak shockwaves around a thin airfoil at a low incidence in the…

Fluid Dynamics · Physics 2022-12-23 N. Eddegdag , O. El-Aajine , A. Naamane , M. Radouani

Deformable shape modeling approaches that describe objects in terms of their medial axis geometry (e.g., m-reps [Pizer et al., 2003]) yield rich geometrical features that can be useful for analyzing the shape of sheet-like biological…

Graphics · Computer Science 2019-03-04 Paul A. Yushkevich , Ahmed Aly , Jiancong Wang , Long Xie , Robert C. Gorman , Laurent Younes , Alison Pouch

This paper proposes the application of some well known two-dimensional geometrical shape descriptors for the visualisation of the structure of architectural open spaces. The paper demonstrates the use of visibility measures such as distance…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Sanjay Rana , Mike Batty

A method to predict the aeroelastic pitch response of an airfoil to gusts is presented. The prediction is based on energy maps generated by high-fidelity fluid dynamic simulations of the airfoil with prescribed pitch oscillations. The…

Fluid Dynamics · Physics 2020-10-27 Karthik Menon , Rajat Mittal