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Correction: Ultrathin high-performance electromagnetic wave absorbers with facilely fabricated hierarchical porous Co/C crabapples (Journal of Materials Chemistry C (2019) 7 (1659-1669) DOI: 10.1039/C8TC04984J)

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Journal of Materials Chemistry C 2025年第23期13卷 12025-12026页

作者： Nannan Wu Chang Liu Dongmei Xu Jiurong Liu Wei Liu Hu Liu Jiaoxia Zhang Wei Xie Zhanhu Guo Key Laboratory for Liquid–Solid Structural Evolution and Processing of Materials Ministry of Education and School of Materials Science and Engineering Shandong University Jinan Shandong 250061 China Integrated Composites Laboratory (ICL) Department of Chemical & Biomolecular Engineering University of Tennessee Knoxville TN 37996 USA State Key Laboratory of Crystal Materials Shandong University Shandong 250100 China Key Laboratory of Materials Processing and Mold (Zhengzhou University) Ministry of Education National Engineering Research Center for Advanced Polymer Processing Technology Zhengzhou University Zhengzhou China School of Material Science and Engineering Jiangsu University of Science and Technology Zhenjiang Jiangsu China Key Laboratory of Lightweight and Reliability Technology for Engineering Vehicle Education Department Changsha University of Science & Technology Changsha Hunan China

The authors regret the following errors in the published article: In the originally published supplementary information document, Fig. S1a, S5c and S6d were images of the same sample obtained at optimal conditions. In order to avoid misleading readers, the original Fig. S5c and S6d have been replaced by new images captured at different places of the same sample. In addition, an error was found in the Fig. S6 caption: the PVP amount for both Fig. S6a and b should be 0 g. The corrected versions of Fig. S5 and S6 are shown below. In the "Results and discussion" section of the published article, on page 1662 of the pdf, the related description of Fig. S6 should be corrected as follows: "Numerous scattered flakes and only a few a-Co(OH)2 crabapples were obtained without the addition of PVP (Fig. S6a and b, ESI)." The supplementary information document has been updated with these changes. (Figure presented) In Fig. 2 in the published article, an error occurred when assembling the images: Fig. 2b and e were inadvertently swapped. The accompanying calculations and the following descriptions used the correct data and thus are not affected. The corrected Fig. 2 is shown in this notice. Related to this, on page 1664 of the pdf, the related text remains almost constant with some fluctuations..." should be replaced with remains almost constant despite fluctuations from 13.6-14.4 GHz...". In addition, "For sample M30, a sharp decrease of in the frequency range of 12-18 GHz occurs while the corresponding shows a resonance peak,. . ." should be replaced with "For sample M30, a decrease of occurs while the shows a resonance peak in the frequency range of 12-18 GHz,. . .". In addition, on page 1665 of the pdf, the sentence "The SBET for hierarchical porous Co/C crabapples is 68.4 m2 g-1" should be corrected to "The SBET for hierarchical porous Co/C crabapples is 64.4 m2 g-1" after rechecking the raw data. It should be noted that the conclusions of the work are not affected by these c

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An Ehl-Based Mesh Stiffness Model and Nonlinear Tribo-Dynamic Behavior of Spur Gears

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SSRN 2023年

作者： Hu, Bo An, Jinyun Yin, Lairong Zhou, Changjiang Hunan Provincial Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha410114 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China

In this study, a strongly coupled nonlinear tribo-dynamic model of spur gears is proposed by introducing interactions between elastohydrodynamic lubrication (EHL) and contact behavior along the line-of-action (LOA) direction. First, we present an EHL-based mesh stiffness model by combining the EHL theory and the potential energy method. Then, a nonlinear tribo-dynamic model of a lubricated spur gear pair is developed by considering the EHL-based mesh stiffness and elastic shaft element and validated by a vibration experiment. Finally, a numerical iterative approach with the Newmark method and multigrid method is given for the analysis of the strongly coupled relation between gear tribology and dynamics. The results show that gear dynamics can cause the oscillation of oil film due to dynamic force and fluctuant velocity, and the lubricant film can narrow down the range of speeds in which the nonlinear behavior occurs. More importantly, the formation of lubricant film enhances the gear mesh stiffness by increasing the tooth contact area, thereby reducing gear LOA vibrations. The proposed model reveals the mechanism of vibration reduction by means of lubrication. © 2023, The Authors. All rights reserved.

关键词： Stiffness

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Structural reliability Analysis Method Based on Regular Vine Copula Model with the Asymmetric Tail Correlation

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SSRN 2023年

作者： Liu, Xin Lai, Hao Liu, Kai Wu, Shaowei Li, Qiqi Wang, Fang Zhou, Zhenhua The State Key Laboratory of Mechanical Transmissions Chongqing University 400044 China Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha410114 China

Considering the asymmetric tail correlations between variables in reliability analysis, a new structural reliability analysis method based on regular vine copula models is proposed. Firstly, a product of multiple pair-copula functions and marginal density functions based on regular vine copula models are used to construct the joint probability density function. Meanwhile, the asymmetric copula functions are introduced into the candidate construction sets of pair-copula functions for the asymmetric tail correlations between variables. Secondly, the Kendall rank correlation coefficient and the Akaike Information Criterion (AIC) are adopted to select the optimal pair-copula functions. Based on the theory of AIC, the optimal pair-copulas can be selected when the minimum AIC value is obtained. Thirdly, taking the difference of multi-dimensional correlations into account, six different regular vine copula models are used to construct the multivariate joint probability density function and the corresponding reliability analysis based on six types regular vine copula models with the asymmetric tail correlation are proposed. Finally, three numerical examples and an engineering example are investigated to verify the validity of the proposed method. © 2023, The Authors. All rights reserved.

关键词： reliability analysis

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Fault diagnosis of satellite power system based on rough K-means clustering and fuzzy multi-attribute decision making

Fault diagnosis of satellite power system based on rough K-m...

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Electrical engineering and Mechatronics technology (ICEEMT), IEEE International Conference on

作者： Jingyi Xing Feng Wang Ke Ma Qilong Sun Mingliang Suo Institute of Reliability Engineering Beihang University Beijing China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing China School of Reliability and Systems Engineering Beihang University Beijing China Beijing Institute of Space Long March Vehicle Beijing China

Fault diagnosis is an integral part of a satellite characterized by high autonomy, which is one of the fundamental guarantees to ensure the normal operation of the satellite. Clustering, as an unsupervised data mining method, is widely used in fault diagnosis. Regarding fault detection and isolation with the high real-time requirements, K-means clustering becomes a typical representative of effective diagnosis tools thanks to its fast-running characteristic. However, the stiff partition idea of K-means clustering seriously affects its results, and it may even lead to misdiagnosis. Therefore, to meet the need for faster and more accurate fault diagnosis of satellite, we introduce a clustering method combined with K-means and rough set, which utilizes the imprecise description characteristic of rough set to cluster samples flexibly. Subsequently, the clustering results are fed into a multi-attribute decision making model to generate a fuzzy decision-making model for fault diagnosis. Finally, the experimental results of fault diagnosis based on a satellite power system prove the effectiveness and superiority of our method.

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Multi-Classification of Polyps in Colonoscopy Images Based on an Improved Deep Convolutional Neural Network

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Computers, Materials & Continua 2023年第6期75卷 5837-5852页

作者： Shuang Liu Xiao Liu Shilong Chang Yufeng Sun Kaiyuan Li Ya Hou Shiwei Wang Jie Meng Qingliang Zhao Sibei Wu Kun Yang Linyan Xue College of Quality and Technical Supervision Hebei UniversityBaoding071002China Hebei Technology Innovation Center for Lightweight of New Energy Vehicle Power System Baoding071002China National&Local Joint Engineering Research Center of Metrology Instrument and System Hebei UniversityBaoding071002China College of Electronic Information Engineering Hebei UniversityBaoding071002China Department of Orthopedics Affiliated Hospital of Hebei UniversityBaoding071002China State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics Center for Molecular Imaging and Translational MedicineDepartment of Laboratory MedicineSchool of Public HealthXiamen UniversityXiamen361102China

Achieving accurate classification of colorectal polyps during colonoscopy can avoid unnecessary endoscopic biopsy or *** study aimed to develop a deep learning model that can automatically classify colorectal polyps histologically on white-light and narrow-band imaging(NBI)colonoscopy images based on World Health Organization(WHO)and Workgroup serrAted polypS and Polyposis(WASP)classification criteria for colorectal ***-light and NBI colonoscopy images of colorectal polyps exhibiting pathological results were firstly collected and classified into four categories:conventional adenoma,hyperplastic polyp,sessile serrated adenoma/polyp(SSAP)and normal,among which conventional adenoma could be further divided into three sub-categories of tubular adenoma,villous adenoma and villioustublar adenoma,subsequently the images were re-classified into six *** this paper,we proposed a novel convolutional neural network termed Polyp-DedNet for the four-and six-category classification tasks of colorectal *** on the existing classification network ResNet50,Polyp-DedNet adopted dilated convolution to retain more high-dimensional spatial information and an Efficient Channel Attention(ECA)module to improve the classification performance *** eliminate gridding artifacts caused by dilated convolutions,traditional convolutional layers were used instead of the max pooling layer,and two convolutional layers with progressively decreasing dilation were added at the end of the *** to the inevitable imbalance of medical image data,a regularization method DropBlock and a Class-Balanced(CB)Loss were performed to prevent network ***,the 5-fold cross-validation was adopted to estimate the performance of Polyp-DedNet for the multi-classification task of colorectal *** accuracies of the proposed Polyp-DedNet for the four-and six-category classifications of colorectal polyps were 89.91%±0.92%and 85.13%±1.10%,respectively.

关键词： Colorectal polyps four-and six-category classifications convolutional neural network dilated residual network

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Injury Prediction of Nonstandard Posture Occupants in Typical Intelligent vehicle Frontal Impact

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IEEE Transactions on Consumer Electronics 2024年

作者： Wang, Fang Liu, Zishuo Wang, Mingliang Hu, Lin Liu, Zhangchi Zhang, Ying Liu, Yu Changsha University of Science and Technology School of Automotive and Mechanical Engineering Changsha410114 China Changsha University of Science and Technology Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha410114 China China Automotive Engineering Research Institute Co. Ltd Chongqing401122 China

As future intelligent vehicles are gradually brought into use, the vehicle driving scenario may show a predictable and highly diversified trend, which introduces a new challenge to the design of occupant injury protection in vehicle collisions. In this regard, quantitatively analyzing the sensitivity of occupant injury responses to highly diverse occupant postures and accurately predicting the risk of occupant injury related to specific OOP (out-of-position) postures are crucial for designing the crash safety of intelligent vehicles. In this study, a variety of typical occupant OOP postures are considered. Numerical simulations are conducted with existing occupant restraint systems and human body numerical models to investigate the correlation between OOP posture factors (such as AEB (automatic emergency braking) level, torso left/right tilt angle, body size, and seatback tilt angle) and the predicted injury responses. An OOP occupant injury prediction model for frontal collisions is established using BP (backpropagation) neural networks based on the simulation data. Our study shows that the OOP posture factors are correlated with various injury criteria to different extents. The seatback tilt angle is significantly and positively correlated with neck injury and is also clearly related to upper leg injury. The occupant torso left/right tilt angle is remarkably negatively correlated with chest injury, especially chest compression. The occupant size mainly affects lower leg injury, particularly tibia force, while the effect of AEB is less notable than these factors. The BP neural network-based model for the prediction of OOP occupant injury showed Adequate prediction performance in terms of consistency index (higher than 0.9 for all injury criteria) and prediction accuracy (higher than 84 for all injury criteria, except for the viscous criterion VC and neck extension bending moment). This study may serve as an important reference for the design of intelligent occupant

关键词： Automobile bodies

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Industry Insights into Kinematics and Injury Risk for Far-Side Occupants During Electric vehicle Side Pole Impact Accidents

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IEEE Transactions on Consumer Electronics 2025年

作者： Wang, Fang Lv, Yuanpeng Long, Chunguang Hu, Lin Liu, Zhangchi Liu, Yu Zhou, Zhou Changsha University of Science and Technology School of Automotive and Mechanical Engineering Changsha410114 China Changsha University of Science and Technology Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha410114 China China Automotive Engineering Research Institute Co. Ltd Chongqing401122 China KTH Royal Institute of Technology Division of Neuronic Engineering Stockholm14152 Sweden

With the rapid growth in the number of electric vehicles equipped with advanced consumer electronics, the rate of impact accidents has also been rising year by year. Side pole impact tests are an important method for evaluating the collision safety of these modern electric vehicles. The purpose of this study is to gain industry insights into the kinematics and injury risk for far-side occupants in electric vehicle side pole impacts. This study uses a full-scale finite element model of an electric vehicle and a human body finite element model to conduct an in-depth analysis of the occupant’s kinematic response and the risk of injury to the head, neck, chest, and internal organs under various conditions by changing the relative position and impact angle between the rigid pole and the vehicle. The results show that the seatbelt fails to effectively restrict the upper body movement of the occupants, leading to the occupants slipping out of the seatbelt the position of the impact significantly affects the injury risk to the occupants, with the highest probability of injury occurring during an A pillar impact and a lowest probability during a C pillar impact. In 28%–40% of the cases, the risk of far-side occupants sustaining serious head and brain abbreviated injury scale AIS 3+ injuries exceeds 40%, and in 22% of the cases, the probability of occupants sustaining diffuse axonal injuries based on which metric is higher than 40%;there is no correlation between the head injury criterion HIC15 and the impact angle, but a weak correlation exists between HIC15 and maximum principal strain (MPS);a strong positive correlation is found between the impact angle and brain injury criterion BrIC/MPS. The predicted MPS of nearly 40% and 80% of the far-side occupants’ anterior longitudinal ligament and posterior longitudinal ligament exceeds the injury threshold, respectively, while in all cases, the predicted MPS of the occupants’ capsular ligament and interspinous ligament exceeds th

关键词： Risk assessment

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Mechanism Analysis of Drivers’ Risk Response Difficulties for Intelligent Driving Safety Design and Development: Results from In-Depth vehicle-to-Powered Two-Wheeler Crash Data in China

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SSRN 2024年

作者： Wang, Xinghua Hu, Lin Wang, Fang Peng, Yong Wu, Xianhui Xiang, Guoliang School of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha410114 China Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha410114 China The State Key Laboratory of Heavy-duty and Express High-power Electric Locomotive Central South University Changsha41007 China

The intelligent vehicles are considered to be potential in avoiding traffic crashes caused by human errors. Reliable intelligent driving in China requires thorough understanding of complex drivers’ risk response difficulties in Chinese background traffic. Based on actual crashes between a vehicle and a powered two-wheeler (PTW) in China, this study analyzed the mechanism of drivers’ risk response difficulties to theoretically support the intelligent driving safety design and development. 113 crashes recorded in six typical vehicle-to-PTW risk scenarios were selected from the China In-depth mobility Safety Study - Traffic Accident (CIMSS-TA) database. The psychological failures and behavioral errors of participants in each risk scenario were analyzed through descriptive statistics. The dominant factors contributory to drivers’ risk response difficulties and their interdependence were explored through 4-item association rule mining (ARM). Furthermore, the characteristics of pre-crash kinematics and the shortcomings of a current approach in identifying potential vehicle-to-PTW crash risks were also discussed based on actual motion data in global and vehicle coordinate systems. The results showed that there was significant heterogeneity in the difficulties encountered by drivers when dealing with various traffic risks. For instance, the information reception failures of drivers (IRF-D) accompanied by the information processing failures of riders (IPF-R) was the most important joint psychological failure pattern in risk scenario 1 and 3, and these crashes were mainly attributed to drivers who failed to yield to straight-going traffic. A typical phenomenon that both participants suffered from information access failures was common in risk scenario 4 and 5, and the crash responsibilities were mainly blamed on these riders running red lights/violating the priority to the right and travelling against the traffic, respectively. Each risk scenario varied dramatically in pre-cr

关键词： Errors

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Head injury of CHARM-70 FE model and a comparative study with Hybrid III and GHBMC model

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International Journal of vehicle Safety 2020年第4期11卷 370-389页

作者： Wu, Hequan Qian, Xiaoyan Ren, Qifan Zhan, Xuehui Key Laboratory of Lightweight and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha Hunan410004 China Wayne State University DetroitMI48201 United States School of Physics and Electronic Science Changsha University of Science and Technology Changsha Hunan410004 China

In this paper, the Hybrid III FE head model is validated through dummy impact experiments firstly. Then, the CHARM-70 head model is developed, and the structure, head injury and dynamic mechanical response of the model are studied. Subsequently, the GHBMC head model is introduced to compare the dynamic mechanical response of the forehead to the steering wheel edge under the same speed with the Hybrid III and the CHARM-70. The result demonstrates that the CHARM-70 model has high biological fidelity. Meanwhile, due to different material properties, GHBMC model shows the best stiffness and force response, followed by CHARM-70 model, and finally Hybrid III model. Finally, the different setting of material parameters indicates a fine response to the decline rule of bone strength caused by human age, which is meaningful for the development of different age, body and other special population models in the future. © 2020 Inderscience Enterprises Ltd.

关键词： Population statistics

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Study on the Driving Style Adaptive vehicle Longitudinal Control Strategy

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1107-1115页

作者： Jing Huang Yimin Chen Xiaoyan Peng Lin Hu Dongpu Cao the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan UniversityChangsha 410082China the Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooON N2L3G1Canada the College of Mechanical&Vehicle Engineering Hunan UniversityChangsha 410082China the School of Automotive and Mechanical Engineering and Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering VehicleChangsha University of Science and TechnologyChangsha 410114China

This paper presents a fusion control strategy of adaptive cruise control(ACC) and collision avoidance(CA),which takes into account a driver’s behavioral style. First, a questionnaire survey was performed to identify driver type, and the corresponding driving behavioral data were collected via driving simulator experiments, which served as the template data for the online identification of driver type. Then, the driveradaptive ACC/CA fusion control strategy was designed, and its effect was verified by virtual experiments. The results indicate that the proposed control strategy could achieve the fusion control of ACC and CA successfully and improve driver adaptability and comfort.

关键词： Adaptive cruise control collision avoidance driving simulator experiment driving style fusion control

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