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Aero-structural design of joined-wing aircraft based on high-fidelity model

Chinese Journal of Aeronautics 2024年第4期37卷 363-377页

作者： Cheng HE Fengjiang ZHAN Luchuang MA Gang CHEN Jianying MA Unmanned Air Vehicle Research Institute Nanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Advanced Technology for Small and Medium-sized UAV Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China Aerospace System Engineering Shanghai Shanghai 201108China

The joined-wing configuration reduces induced drag and structural weight by connecting the rear wing to the front *** addition,the rear wing can replace the role of the horizontal tail of a conventional aircraft,thus eliminating the aerodynamic drag and weight associated with the horizontal *** particular shape creates a highly coupled relationship between aerodynamics and structure,which must be fully considered during the overall design process to enhance aircraft *** this research,an aero-structural design model of the joined-wing aircraft is constructed based on high-fidelity computational fluid dynamics and structural finite element *** model is able to obtain accurate aerodynamic loads for the non-planar wing and to simulate the statically indeterminate structure of the closed wing *** influence of the joined-wing shape parameters on the aerodynamic and structural disciplines,as well as the influence of geometric nonlinear characteristics,deformation constraints and buckling constraints on the structural weight are all taken into *** model is applied to complete the aero-structural design optimization of a high-altitude long-endurance joined-wing aircraft,and wind tunnel tests are *** test results verify the credibility of the design model proposed and the validity of the design environment.

关键词： Joined-wing configuration Aircraft design Aero-structural design Finite element Wind tunnel test

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Switchable shape memory polymer bio-inspired adhesive and its application for unmanned aerial vehicle landing

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Chinese Journal of Aeronautics 2024年第3期37卷 380-390页

作者： Qingsong HE Zefang ZHAO Qiyun ZHONG Siyuan LIU Kai DENG Yongqi LIU Ning ZHANG Zijie ZHAO Fengjiang ZHAN Jianfeng ZHAO Jiangsu Provincial Key Laboratory of Bionic Functional Materials College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Advanced Technology for Small and Medium-Sized UAV Ministry of Industry and Information TechnologyUnmanned Aerial Vehicles Research InstituteNanjing University of Aeronautics and AstronauticsNanjing 210016China State Key Laboratory of Mechanics and Control of Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Functional Morphology and Biomechanics Institute of ZoologyKiel UniversityKiel 24098Germany

Controlled and switchable adhesion is commonly observed in biological *** recent years,many scholars have focused on making switchable bio-inspired ***,making a bio-inspired adhesive with high adhesion performance and excellent dynamic switching properties is still a challenge.A Shape Memory Polymer Bio-inspired Adhesive(SMPBA)was successfully developed,well realizing high adhesion(about 337 kPa),relatively low preload(about90 kPa),high adhesion-to-preload ratio(about 3.74),high switching ratio(about 6.74),and easy detachment,which are attributed to the controlled modulus and contact area by regulating temperature and the Shape Memory Effect(SME).Furthermore,SMPBA exhibits adhesion strength of80–337 kPa on various surfaces(silicon,iron,and aluminum)with different roughness(Ra=0.021–10.280)because of the conformal contact,reflecting outstanding surface *** finite element analysis verifies the bending ability under different temperatures,while the adhesion model analyzes the influence of preload on contact area and ***,an Unmanned Aerial Vehicle(uav)landing device with SMPBA was designed and manufactured to achieve uav landing on and detaching from various *** study provides a novel switchable bio-inspired adhesive and uav landing method.

关键词： Bio-inspired adhesive Shape memory polymers Switchable adhesive Unmanned aerial vehicle Landing

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Skeletal Triangulation for 3D Human Pose Estimation 27th

Skeletal Triangulation for 3D Human Pose Estimation

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Jiang, YiHeng Wang, ZhiPeng Zhao, YunLong Li, Yang Liu, ChunYan College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Unmanned Aerial Vehicles Research Institute Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Advanced Technology for Small and Medium-sized UAV Ministry of Industry and Information Technology Nanjing China

ISBN: (纸本)9783031784552

Nowadays, many researchers have made significant progress in the field of multi-view 3D human pose estimation. However, numerous multi-view human pose estimation models based on deep learning heavily rely on data-driven training. As a 3D reconstruction method based on mathematical modeling, triangulation has shown excellent generalization ability and is widely used for 3D pose estimation and 3D pose annotation tasks in unlabeled environments. In this paper, we propose a refinement module based on graph convolution and visual fusion, and based on this, propose a triangulation-based method infused with structural information, Skeletal Algebraic Triangulation (SAT), encoding human pose prior knowledge into the model to ensure its robustness under occlusion and complex motions. Experiments show that our model outperforms algebraic methods and achieves comparable performance to state-of-the-art methods. Meanwhile, our method has better generalization performance, showing better and more robust results on different view Settings from the training dataset. Besides that, the proposed method can be applied to different backbone networks. As a core part of SAT, the graph refinement model can also be used to improve existing keypoint estimation. The volume triangulation combined with the graph refinement module, called Skeleton Volume triangulation, achieves state-of-the-art performance on the Human36M. In addition, the graph refinement module is also used for other keypoint estimation tasks that contain structural information, such as hand landmarks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Triangulation

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Stable Task Assignment for Socially Aware Collective Computing Systems 10

Stable Task Assignment for Socially Aware Collective Computi...

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10th IEEE Smart World Congress, SWC 2024

作者： Zhou, Hao Li, Yang Zhao, Yunlong Liu, Chunyan Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing China Unmanned Aerial Vehicles Research Institute Nanjing University of Aeronautics and Astronautics Nanjing China Ministry of Industry and Information Technology Key Laboratory of Advanced Technology for Small and Medium-Sized Uav Nanjing China

ISBN: (纸本)9798331520861

Collective Computing is the latest generation of computing paradigm that has received a lot of attention recently. One of the important things in Collective Computing systems is how to assign tasks to human participants. When doing the assignment, the platform may face the challenge of inadequate availability of skilled workers. To deal with this challenge, some researchers leverage the property that workers are socially aware and consider assigning tasks to workers with the assistance of social networks. However, the objectives of task requesters and workers can conflict and may result in unstable assignments due to unhappy requesters and workers, which is ignored by most of these works. This paper leverages the influence propagation on the social network to assist task assignment and takes requesters' preferences and workers' preferences into consideration. Stable Matching Theory is leveraged to solve the problem of matching tasks with seed workers and an efficient task assignment algorithm is proposed. Through extensive simulations, the performance of the proposed algorithm is evaluated in different settings. Empirical studies show that the proposed algorithm outperforms the baseline algorithms in achieving stability and system efficiency. © 2024 IEEE.

关键词： collective computing influence maximization social network stable matching task assignment

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TBSA-Net: A Temperature-Based Structure-Aware Hand Pose Estimation Model in Infrared Images 18th

TBSA-Net: A Temperature-Based Structure-Aware Hand Pose Esti...

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Xia, Hongfu Li, Yang Liu, Chunyan Zhao, Yunlong College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Unmanned Aerial Vehicles Research Institute Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Advanced Technology for Small and Medium-Sized UAV Ministry of Industry and Information Technology Nanjing China

ISBN: (纸本)9789819998951

In recent years, numerous researchers have conducted in-depth studies and made significant progress in 2D Hand Pose Estimation (HPE) tasks on RGB images. However, the field of HPE in the context of infrared images has received limited attention. Due to the limited channel information and high correlation with temperature, models designed for RGB images may suffer from insufficient accuracy in infrared images. Our experiments reveal that the temperature distributions of the human hand in infrared images exhibit significant regularity. In this paper, we propose the Temperature-Based Hand Judgement Model (TB-HJM) that leverages this characteristic. During the training phase, a higher penalty is given when the predicted pose’s temperature distribution does not align with the actual temperature distribution, and vice versa. In the testing phase, TB-HJM is utilized to select a hand proposal that closely matches the temperature distribution as the final output. Additionally, to address the lack of visual information in infrared images, we use PBNHead and GCN Refine Module to merge structural information into the network to ensure model accuracy. Experimental results demonstrate that our model outperforms the benchmark model (HRNet) by 1.72% in terms of AUC and achieves an improvement of 0.6448 by reducing the EPE from 3.02 to 2.38, achieving state-of-the-art performance on our infrared hand dataset. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Temperature distribution

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Unsupervised Concept Drift Detection Based on Stacked Autoencoder and Page-Hinckley Test 1

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Zhan, Shu Li, Yang Liu, Chunyan Zhao, Yunlong College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Unmanned Aerial Vehicles Research Institute Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Advanced Technology for Small and Medium-Sized UAV Ministry of Industry and Information Technology Nanjing China

ISBN: (数字)9789819998937

ISBN: (纸本)9789819998920

Data streams are often subject to concept drift, which can gradually reduce the reliability of learning models over time in data stream mining. To maintain model accuracy and enhance its robustness, it is crucial to detect concept drift and update the learning model accordingly. The majority of drift detection methods rely on the assumption that true labels are immediately available, which is challenging to implement in real-world scenarios. Therefore, it is more practicable to detect concept drift in an unsupervised manner. This paper proposes an unsupervised Drift Detection method based on Stacked Autoencoder and Page-Hinckley test (DD-SAPH). DD-SAPH employs the stacked autoencoder as a medium to represent the distribution of historical data, which extracts hidden features from the reference window. To measure the difference between distributions of historical data and new data, the reconstruction error of the stacked autoencoder on the current window is employed. The Page-Hinckley test dynamically calculates thresholds to warn and alarm concept drift. Experimental results indicate that DD-SAPH outperforms the compared unsupervised algorithms when addressing concept drift on both synthetic and real datasets. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Learning systems

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Optimized design and performance testing of hydraulic electrostatic actuator

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International Journal of Smart and Nano Materials 2024年第4期15卷 811-834页

作者： Yuze Ye Qingsong He Changli Yang Xiaodong Xu Lin Xie Diyi Liu Bo Zeng Zhijian Leng Jiangsu Key Laboratory of Bionic Materials and Equipment College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina Key Laboratory of Advanced Technology for Small and Medium-Sized UAV Ministry of Industry and Information TechnologyUnmanned Aerial Vehicles Research InstituteNanjing University of Aeronautics and AstronauticsNanjingChina State Key Laboratory of Mechanics and Control of Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjingChina Laboratory of Aerospace Servo Actuation and Transmission Beijing Institute of Precision Mechatronics and ControlsBeijingChina Technology Center CCCC Second Harbor Engineering CompanyWuhanChina

Hydraulic electrostatic actuators have become a research hotspot for their inherent flexibility and safety of human-machine *** paper aims to combine the characteristics of dielectric elastomers and fluid actuators,enhancing the dielectric constant and breakdown field strength by modifying Al_(2)O_(3)on the surface of nanostructured BaTiO3 and in order to develop a hydraulic electrostatic actuator with silicone rubber as the matrix ***-factor experiments were firstly conducted to confirm the range of three factors affecting the actuation strain of the actuator:BaTiO_(3)@Al_(2)O_(3)content,thickness of the silicone rubber elastomer film,and pre-stretching ratio *** response surface methodology was used to study the interactive influence of the above three influencing factors on the actuation *** was obtained that A has an insignificant influence on the actuation strain,AB has a significant influence on the actuation strain,and B,C,AC,and BC have a highly influence on the actuation *** actuation strain as the optimization objective yielded the combination results of each factor:BaTiO_(3)@Al_(2)O_(3)content of 2.57%,thickness of 0.60 mm,and pre-stretching ratio coefficient of *** strain tests were conducted with optimized parameters under *** experimental results of the actuation strain test show that the relative error between the test value and the model prediction value of 16.47%is less than 5%,and the optimization model results are *** optimized hydraulic electrostatic actuator was tested for actuation strain and electrical performance under different *** experiment showed that the maximum actuation strain of the hydraulic electrostatic actuator was 17.20%under a load of 100 *** critical breakdown current of the actuator ranged from 115μA to 130μA,and the maximum electromechanical conversion efficiency of the actuator under different loads was 67.93%.Finally,a joint actuati

关键词： Hydraulic electrostatic actuator BaTiO_(3)@Al_(2)O_(3) response surface experiments actuation strain

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Stable Task Assignment for Socially Aware Collective Computing Systems

Stable Task Assignment for Socially Aware Collective Computi...

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Smart World Congress (SWC), IEEE

作者： Hao Zhou Yang Li Yunlong Zhao Chunyan Liu College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Unmanned Aerial Vehicles Research Institute Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Advanced Technology for Small and Medium-Sized UAV Ministry of Industry and Information Technology Nanjing China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

Collective Computing is the latest generation of computing paradigm that has received a lot of attention recently. One of the important things in Collective Computing systems is how to assign tasks to human participants. When doing the assignment, the platform may face the challenge of inadequate availability of skilled workers. To deal with this challenge, some researchers leverage the property that workers are socially aware and consider assigning tasks to workers with the assistance of social networks. However, the objectives of task requesters and workers can conflict and may result in unstable assignments due to unhappy requesters and workers, which is ignored by most of these works. This paper leverages the influence propagation on the social network to assist task assignment and takes requesters’ preferences and workers’ preferences into consideration. Stable Matching Theory is leveraged to solve the problem of matching tasks with seed workers and an efficient task assignment algorithm is proposed. Through extensive simulations, the performance of the proposed algorithm is evaluated in different settings. Empirical studies show that the proposed algorithm outperforms the baseline algorithms in achieving stability and system efficiency.

关键词： Social networking (online) Computational modeling Approximation algorithms Stability analysis Faces

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A PSO-BP Target Localization Accuracy Enhancement Method for Airborne Optoelectronic Platforms 3

A PSO-BP Target Localization Accuracy Enhancement Method for...

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3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023

作者： Chen, Kuiyu Lei, Zhongkui Huang, Daqing Su, Nan Ling, Zhicheng College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Key Laboratory of Advanced Technology for Medium and Small UAV Nanjing210016 China College of Marxism Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350359961

This study aims to address the issue of target positioning accuracy in airborne optoelectronic platforms. Firstly, the paper refines and summarizes the typical workflow for target positioning based on uav airborne optoelectronic platforms. To enhance the target positioning accuracy of airborne optoelectronic platforms, an improved method based on the particle swarm optimization algorithm (PSO) and the backpropagation neural network (BP) is proposed. The paper begins by explaining the research background and identifying the problems. It then proposes a target localization model based on the optoelectronic platform. Subsequently, the PSO-BP method is introduced, highlighting its advantages, principles, and implementation process. Experimental results demonstrate that the PSO-BP method can effectively enhance the target localization accuracy of airborne optoelectronic platforms. The research findings of this paper hold significant theoretical importance and practical value in improving the target localization accuracy of airborne optoelectronic platforms. Additionally, they offer a new research direction for further advancements in uav target localization. In conclusion, this comprehensive literature review provides insights into the research gap and research motivation in the field of target positioning accuracy in airborne optoelectronic platforms. The proposed PSO-BP method demonstrates its effectiveness in enhancing target localization accuracy. The findings contribute to the theoretical understanding and practical application of improving target localization in airborne optoelectronic platforms, and they also suggest avenues for future research in uav target localization. © 2023 IEEE.

关键词： Airborne optoelectronic platform BP neural network Particle swarm optimisation algorithm Target positioning accuracy

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Sensitivity Analysis and Optimization of Geometric Parameters of a New Fluid Bag Buffer Mechanism on Buffering Performance

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Transactions of Nanjing University of Aeronautics and Astronautics 2022年第5期39卷 569-583页

作者： WANG Hongxian HOU Yu ZHANG Ming NIE Hong Key Laboratory of Advanced Technology of Small and Medium-Sized UAV Ministry of Industry and Information Technology Nanjing University of Aeronautics and AstronauticsNanjing 210016P.R.China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016P.R.China School of Aeronautic Engineering Nanjing Vocational University of Industry TechnologyNanjing 210023P.R.China Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics and AstronauticsNanjing 210016P.R.China

A new fluid bag buffer mechanism,which can provide large axial stiffness under the small displacement,is *** dynamic change laws of the mechanism stiffness and the internal pressure of the fluid bag are studied when it is subjected to impact *** to the protection performance for the flexible joint and the pressure change in the fluid bag during the impact process,the sensitivity of the geometric parameters of the fluid bag to the axial stiffness is analyzed by using the orthogonal experimental method,and the optimal parameter combination of the geometric parameters of the fluid bag under impact is obtained,leading to the displacement of the inner shell reduce by 41.4%.The results show that the internal pressure of the fluid bag is a rising process of oscillation and *** sensitivity of the geometric parameters of the fluid bag to the displacement of the inner shell from high to low is as follows:Height H,radius r,wall thickness t,chamfer *** correlation between the geometric parameters of the fluid bag and its internal pressure is:H is negatively correlated with the internal pressure,while the r,t,and A are positively correlated with the internal pressure.

关键词： fluid bag buffer mechanism flexible joint axial stiffness characteristics orthogonal experiment method internal pressure of fluid bag

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