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Aerodynamic Shape Optimization with Grassmannian Shape Parameterization Method
The conventional method of optimizing the aerodynamic performance of an airfoil heavily depends on the confines of the design space. The design variables create a non-normalized space that is fragmented into several different clusters of airfoils.
Yang Zhang +3 more
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Optimal design of watt six-bar transmission mechanism for morphing trailing edge [PDF]
The morphing trailing edge could realize a continuous smooth deformation compared with conventional trailing edge, which effectively improves the aerodynamic performance.
Zhou Jin, Zhao Shiwei
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Multi-objective aerodynamic optimization design of high-speed maglev train nose [PDF]
Purpose – The nose length is the key design parameter affecting the aerodynamic performance of high-speed maglev train, and the horizontal profile has a significant impact on the aerodynamic lift of the leading and trailing cars Hence, the study analyzes
Shuanbao Yao, Dawei Chen, Sansan Ding
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Comprehensive Optimization Method of Aerodynamic and Trajectory for Gliding Guided Projectile [PDF]
Aiming at the aerodynamic and trajectory design problem of gliding guided projectiles, this paper stu-died a comprehensive optimization method of aerodynamic and trajectory so as to improve the gliding performance of projectile.
Zhao Xuan, Chang Sijiang, Zhang Zhewei, Zhao Linlin
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Full-space approach to aerodynamic shape optimization [PDF]
Aerodynamic shape optimization (ASO) involves finding an optimal surface while constraining a set of nonlinear partial differential equations (PDE). The conventional approaches use quasi-Newton methods operating in the reduced-space, where the PDE constraints are eliminated at each design step by decoupling the flow solver from the optimizer ...
Shi-Dong, Doug, Nadarajah, Siva
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The surrogate-assisted optimization (SAO) process can utilize the knowledge contained in the surrogate model to accelerate the aerodynamic optimization process.
Xiaojing Wu, Zijun Zuo, Long Ma
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Machine learning in aerodynamic shape optimization
Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks to the availability of aerodynamic data and continued developments in deep learning. We review the applications of ML in ASO to date and provide a perspective on the state-of-the-art and future directions. We first introduce conventional ASO and current
Jichao Li +2 more
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Shape optimization of single box girder allows the bridge to achieve the most favourable aerodynamic performance. Currently, aerodynamic optimization of bridge deck is usually achieved by traversing all potential schemes using wind tunnel tests or ...
Jie Zheng +4 more
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Corner modifications can reduce wind loads acting on supertall buildings and modify the corresponding flow structures. The present study investigated the aerodynamic shape optimization of the corner recession square cylinders with multiple geometric ...
Zhaoyong Wang +3 more
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Shape Optimization of the Streamlined Train Head for Reducing Aerodynamic Resistance and Noise
Aiming to improve the comprehensive aerodynamic performance of a high-speed train, a multi-objective shape optimization method for a streamlined train head is proposed in this work.
Mengge Yu +3 more
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