The adjoint method is used for high-fidelity aerodynamic shape optimization and is an
efficient approach for computing the derivatives of a function of interest with respect to a …

Multidisciplinary design optimization is a field of research that studies the application of
numerical optimization techniques to the design of engineering systems involving multiple …

Multidisciplinary design optimization (MDO) is concerned with solving design problems
involving coupled numerical models of complex engineering systems. While various MDO …

Aerodynamic optimisation has become an indispensable component for any aerodynamic
design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind …

近年来汽车行业的科技水平发展程度逐渐提高, 汽车行业进入高速发展阶段,
然而随之而来的环境和能源问题也日趋加重. 轻量化技术变成了各个汽车企业提升市场竞争力的 …

This paper presents multipoint high-fidelity aerostructural optimizations of a long-range wide-
body transonic transport aircraft configuration. The aerostructural analysis employs Euler …

This paper presents a review of all existing discrete methods for computing the derivatives of
computational models within a unified mathematical framework. This framework hinges on a …

Error estimation and control are critical ingredients for improving the reliability of
computational simulations. Adjoint-based techniques can be used to both estimate the error …

With the development of neural network technology, surrogate models and dimensionality
reduction strategies based on machine learning have become the research hotspots of …

Aeroelastic systems achieve the best performance when the aerodynamic shape and
structural sizing are optimized concurrently, but such an optimization is challenging when …