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Weijun Pan, Liru Qin, Qinyue He and Yuanjing Huang
This paper presents a conflict detection and resolution method based on a velocity obstacle method for flight conflicts in a three-dimensional space. With the location and speed information of the two aircraft, the optimal relief strategy is obtained usi...
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Araceli Peña-Fernández, Manuel A. Colón-Reynoso and Pilar Mazuela
Greenhouses are instrumental in the advancement of regions globally. The geometric arrangement of these structures plays a pivotal role in governing sunlight distribution, facilitating ventilation, and managing condensation. The roof?s shape significantl...
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Yuling Li, Lianjie Yue, Chengming He, Wannan Wu and Hao Chen
The present paper focuses on the Lagrange optimization of shock waves for a two-dimensional hypersonic inlet by limiting the cowl internal angle and inlet length. The results indicate the significant influences of geometric constraints on the configurati...
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Muhammad Hamza, Saima Bukhat Khan and Adnan Maqsood
The use of passive, active, or hybrid flow control techniques is often investigated to reduce the acoustic signature, wave drag, and aerodynamic heating associated with the supersonic flow regime. This research explores passive and hybrid flow control te...
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Yong-Ung Yu, Young-Joong Ahn and Jong-Kwan Kim
Owing to stricter environmental regulations of the International Maritime Organization (IMO) 2020, the demand of liquefied natural gas (LNG) bunkering is expected to grow by approximately 15% during 2020?2025 along with increased investments in eco-frien...
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Cong Wang, Liyue Wang, Chen Cao, Gang Sun, Yufeng Huang and Sili Zhou
As a core component of an aero-engine, the aerodynamic performance of the nacelle is essential for the overall performance of an aircraft. However, the direct design of a three-dimensional (3D) nacelle is limited by the complex design space consisting of...
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Gill Velleda Gonzales, Cesare Biserni, Emanuel da Silva Diaz Estrada, Gustavo Mendes Platt, Liércio André Isoldi, Luiz Alberto Oliveira Rocha, Antônio José da Silva Neto and Elizaldo Domingues dos Santos
A new complex geometry cavity is optimized by associating the constructal design (CD) method with the differential evolution (DE) algorithm. Statistical analyses are performed to indicate the best parameters of the meta-heuristic to be applied during the...
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Zhengyu Lyu, Wulamu Aziguli and Dezheng Zhang
With the development of deep learning and graph deep learning, the network structure is more and more complex, and the parameters in the network model and the computing resources and storage resources required are increasing. The lightweight design and o...
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Zhun Cheng, Yuting Chen, Wenjie Li, Pengfei Zhou, Junhao Liu, Li Li, Wenjuan Chang and Yu Qian
To improve the characteristics of a tractor power transmission system, make the transmission system not only meet the geometric principle but also meet the working speed requirements of the tractor, realize the continuous adjustment of the speed ratio, a...
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Ubaldo Cella, Francesco Salvadore, Raffaele Ponzini and Marco Evangelos Biancolini
A procedure for the optimization of a catamaran?s sail plan able to provide a preliminary optimal appendages configuration is described. The method integrates a sail parametric CAD model, an automatic computational domain generator and a Velocity Predict...
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Abouzar Ebrahimi, Mohammad Saeed Seif and Ali Nouri-Borujerdi
Noise generated by ships is one of the most significant noises in seas, and the propeller has a significant impact on the noise of ships, which reducing it can significantly lower the noise of vessels. In this study, a genetic algorithm was used to optim...
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Yiyuan Sun, Qiang Wang, Kevin Tansey, Sana Ullah, Fan Liu, Haimeng Zhao and Lei Yan
Image-based line segment extraction plays an important role in a wide range of applications. Traditional line segment extraction algorithms focus on the accuracy and efficiency, without considering the integrity. Serious line segmentation fracture proble...
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Lasse Mueller and Tom Verstraete
The adjoint method is considered as the most efficient approach to compute gradients with respect to an arbitrary number of design parameters. However, one major challenge of adjoint-based shape optimization methods is the integration into a computer-aid...
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Haichao Chang, Chengjun Wang, Zuyuan Liu, Baiwei Feng, Chengsheng Zhan and Xide Cheng
Hull form optimization becomes prone to the curse of dimensionality as the number of design variables increases. The traditional sensitivity analysis method requires massive computational fluid dynamics (CFD) computations and analyzing the effects of all...
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Yongchuan Wu, Gang Sun and Jun Tao
In this study, a multi-objective aerodynamic optimization is performed on the rotor airfoil via an improved MOPSO (multi-objective particle swarm optimization) method. A database of rotor airfoils containing both geometric and aerodynamic parameters is e...
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Lei Sheng, Weichao Zhao, Ying Zhou, Weimeng Lin, Chunyan Du and Hongwei Lou
An optimization model for the optical imaging system was established in this paper. It combined the modern design of experiments (DOE) method known as Latin hypercube sampling (LHS), Kriging surrogate model training, and the multi-objective optimization ...
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Mathias Højgaard Jensen and Stefan Sommer
Computing sample means on Riemannian manifolds is typically computationally costly, as exemplified by computation of the Fréchet mean, which often requires finding minimizing geodesics to each data point for each step of an iterative optimization scheme....
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Zhaoqi Yang, Yonghui Cao and Jing Liu
The composite cylindrical shell pressure structure is widely used for autonomous underwater vehicle (AUV). To analyze the critical buckling problem of variable stiffness (VS) composite pressure structure of AUV, a discrete finite element (DFE) method bas...
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Martina E. Deininger, Maximilian von der Grün, Raul Piepereit, Sven Schneider, Thunyathep Santhanavanich, Volker Coors and Ursula Voß
The concept and implementation of Smart Cities is an important approach to improve decision making as well as quality of life of the growing urban population. An essential part of this is the presentation of data from different sources within a digital c...
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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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