Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …

This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

This is an introduction and overview of the work that has been done in nonlinear
aeroelasticity prior to the last decade. Many of the issues discussed here are still under …

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 …

AEROELASTICITY is a multidisciplinary field of study dealing with structural behavior under
the interaction of inertial, structural, and aerodynamic forces. An aeroelastic system can …

This paper reviews studies on neural networks in aerodynamic data modeling. In this paper,
we analyze the shortcomings of computational fluid dynamics (CFD) and traditional reduced …

Recent advances and challenges in the generation of reduced order aerodynamic models
using computational fluid dynamics are presented. The models reviewed are those that can …

随着主动控制技术的发展, 飞机结构设计理念已由提高结构刚度的被动设计转变为随控布局的
主动设计. 主动设计理念不再刻意回避气动弹性问题, 而是采用主动控制技术实时调节结构气动 …

Aerodynamic data can be obtained from different sources, which vary in fidelity, availability
and cost. As the fidelity of data increases, the cost of data acquisition usually becomes …

Wind-tunnel experiment plays a critical role in the design and development phases of
modern aircraft, which is always limited by prohibitive cost. In contrast, numerical simulation …