Zhenlei Li

Northeastern University

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Guo Yuan

Northeastern University

Duoqi Shi

Beihang University

Xiaoguang Yang

Nanjing University

Shaochen Bao

Beihang University

Jian Kang

Northeastern University

Shuiting Ding

Beihang University

Liangliang Zuo

Beihang University

Yansheng Zhang

Zhuhai Institute of Advanced Technology

Shuyang Xia

Beihang University

Fubo Zhang

Aerospace Information Research Institute

Cooperative Institutions

Beihang University

Chinese Academy of Sciences

Northeastern University

University of Chinese Academy of Sciences

Nanjing University

Southeast University

Universidad del Noreste

Huazhong University of Science and Technology

Xi'an Jiaotong University

Collaborative Innovation Center of Advanced Microstructures

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Aerodynamic Coefficients Prediction for 122 mm Rocket by Using Computational Fluid Dynamics

IOP Conference Series Materials Science and Engineering (2020)

N L Tun M Thuri Minnzinoo Zhenlei Li

Abstract In this study, the Computational Fluid Dynamics code in SolidWorks was used to predict the aerodynamic coefficients of 122 mm rocket in order to get more accurate aerodynamic coefficients and derivatives for flight simulation. This paper presented the governing equations of fluid dynamics applied in SolidWorks and developed the computational model of the rocket. The results were compared against calculated data from an empirical method. The conducted analyses showed that the comparison results are nearly the same. However, the empirical method provided a faster way to obtain results.

Rocket (weapon)

Dynamics

10.1088/1757-899x/816/1/012010

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Citations (6)

Sampling-phase optimised duobinary receiver enabling improved dispersion tolerance

Electronics Letters (2005)

Zheng Zheng J. Wang Zhenlei Li Y. Wang Lufeng Leng

A novel optical duobinary detection scheme that optimises the sampling phase of the receiver based on preliminary sequence decision is proposed. Simulation results show significant improvement in dispersion tolerance and back-to-back sensitivity. An implementation using an over-sampling frontend, which is compatible with other designs of electrical dispersion compensation receivers, is also proposed.

10.1049/el:20052416

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Citations (2)

Research on flow, heat transfer, and solidification characteristics of flow distribution process in the twin-roll casting

International Journal of Thermal Sciences (2024)

Yansheng Zhang Zhenlei Li Yang Tang Guo Yuan

10.1016/j.ijthermalsci.2024.109215

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Citations (2)

Silicon Nanowire-Based Methodology for Quantifying Single Cell Traction Force

IFMBE proceedings (2013)

Yueke Niu Lin Yan Mengxi Dai Xing Li Siyu Feng

Silicon nanowires

Tractive force

10.1007/978-3-642-29305-4_76

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Citations (0)

Mitigating application layer distributed denial of service attacks via effective trust management

IET Communications (2010)

Jie Yu Cheng Fang Liming Lu Zhenlei Li

Nowadays, web servers are suffering from application layer distributed denial of service (DDoS) attacks, to which network layer solutions is not applicable as attackers are indistinguishable based on packets or protocols. In this study, the authors propose trust management helmet (TMH) as a partial solution to this problem, which is a lightweight mitigation mechanism that uses trust to differentiate legitimate users from attackers. Its key insight is that a server should give priority to protecting the connectivity of good users during application layer DDoS attacks, instead of identifying all the attack requests. The trust to clients is evaluated based on their visiting history and used to schedule the service to their requests. The authors introduce license, for user identification (even beyond NATs) and storing the trust information at clients. The license is cryptographically secured against forgery or replay attacks. The authors realise this mitigation mechanism and implement it as a Java package and use it for evaluation. The simulation results show that TMH is effective in mitigating session flooding attack: even with 20 times number of attackers, more than 99% of the sessions from legitimate users are accepted with TMH; whereas less than 18% are accepted without it. Moreover, we found that the additional computation cost on the deployed server is neglectable and the bandwidth overhead is acceptable.

Replay attack

Application layer

10.1049/iet-com.2009.0809

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Citations (43)

Numerical Analysis and Experimental Study on Side Dam Temperature and Stress Field of Two‐Roll Casting

steel research international (2024)

Yansheng Zhang Zhenlei Li Feng Fang Rui Zhang Guo Yuan

The side sealing technology is crucial for ensuring the quality and process stability in twin‐roll casting (TRC). Investigating the temperature and stress distribution in side dams under operational conditions is vital, especially in understanding the causes of side dam fractures. Optimal performance of side dam materials is achieved when the boron nitride (BN) matrix is fine and homogeneous, with zirconium dioxide (ZrO 2 ) and silicon carbide (SiC) particles evenly dispersed throughout. The fracture of the side dam after casting is mainly caused by BN interlamellar tear. The coexistence of BN lamellar tearing and BN layer fracture leads to the fracture of the side dam during the casting process. Through finite element simulation, the effects of variables such as pouring temperature, preheating temperature, and side dam thickness on temperature and stress distribution were analyzed. The findings indicate that a preheating temperature range of 1200–1300 °C minimizes thermal stress in the side dam. Building on these findings, a composite structure for the side dam is developed. Both internal and external composite structures have shown significant effectiveness in reducing thermal stress. These results are pivotal in extending the service life of side dams and enhancing the stability of the TRC process.

Zirconium dioxide

10.1002/srin.202300748

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Citations (2)

Cooling performance of the hot-rolled seamless steel tube with different jet forms

International Journal of Thermal Sciences (2023)

Rui Zhang Zhenlei Li Yansheng Zhang Dong Chen Guo Yuan

10.1016/j.ijthermalsci.2023.108780

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Citations (3)

Bifurcation analysis and sliding mode control of a singular piecewise-smooth prey–predator model with distributed delay

Nonlinear Analysis Hybrid Systems (2025)