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Numerical simulation of the coupled dynamics model of the projectile engraving process

International Journal of Mechanical system Dynamics 2024年第2期4卷 188-201页

作者： Shujun Zhang Xiaoting Rui Hailong Yu Xiaoli Dong Institute of Launch Dynamics Nanjing University of Science and TechnologyNanjingChina National Key Laboratory of Complex Multibody System Dynamics NanjingChina

The projectile engraving process directly influences the projectile motion in-bore and impacts the firing accuracy,firing safety,and barrel life of the *** this reason,attention has been focused on this research *** address the limitations of the“instantaneous engraving”hypothesis adopted in the classical interior ballistic theory,the VUAMP user subroutine,one of ABAQUS's secondary development interfaces,is utilized in this paper to realize the modeling and numerical simulation of a coupled dynamics model of the projectile engraving *** addition to facilitating engineering applications,a polynomial fitting formula of the engraving resistance obtained by simulation is proposed and then used as a supplement to establish a closed and solvable interior ballistic model considering the projectile engraving *** comparing with test data,the simulation accuracy of the coupled dynamics model is *** results reveal that the engraving process takes 3.8 ms,accounting for 26%of the whole launch process,which takes 14.6 ms,demonstrating that the process is not *** results of this paper can serve as a reference for future studies on the coupled solution of the projectile engraving process and interior ballistics of guns or gun-like equipment.

关键词： projectile engraving process engraving resistance finite element method polynomial fitting interior ballistic simulation

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Demand Estimation of Water Resources based on Coupling Algorithm 31

Demand Estimation of Water Resources based on Coupling Algor...

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第31届中国控制与决策会议

作者： Jiangjiang Zhang Zhuanghua Zhu Yu Chang Di Wu Lei Du Zhihua Cui Complex System and Computational Intelligence Laboratory TaiYuan University of Science and Technology Shanxi Finance &Taxation College

ISBN: (纸本)9781728101071;9781728101064

Demand estimation of water resources is an important basic content in the process of urban water resources planning. To predict water resource demand accurately, a coupling algorithm based on bacterial foraging optimization algorithm(BFOA) and glowworm swarm optimization(GSO) is employed to estimate the demand of water resources in this paper. The historical data(2003-2015) is divided into two parts for convenience in the simulation experiments, one(2003-2012) is trained to gain the weighting factors of the estimation and the other(2013-2015) is used for predicting and evaluating water resources. In addition, the simulation results show that the coupling algorithm achieves a higher accuracy compare with BFOA and GSO on prediction.

关键词： water resources bacterial foraging optimization algorithm glowworm swarm optimization

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DV-Hop Localization Algorithm with Weight-based Oriented Cuckoo Search Algorithm 36

DV-Hop Localization Algorithm with Weight-based Oriented Cuc...

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第36届中国控制会议

作者： Maoqing Zhang Zhuanghua Zhu Zhihua Cui Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi Finance & Taxation College

ISBN: (纸本)9781538629185

Oriented cuckoo search algorithm（OCS） is a newly proposed variant of cuckoo search algorithm,to avoid the premature convergence,weighted-based oriented cuckoo search（WOCS） is proposed which is a combination of OCS and the standard *** achieves a balance between exploration and *** test the performance,WOCS is incorporated into the methodology of DV-Hop localization algorithm for node localization in wireless sensor *** simulation results show that DV-Hop localization with WOCS achieves best positioning accuracy when compared with other two algorithms.

关键词： DV-Hop localization algorithm Wireless sensor network Weighted-based oriented cuckoo search Premature convergence Positioning accuracy

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Application of Topology Analysis in Visualization of 2D Dynamic Vector Fields 7

Application of Topology Analysis in Visualization of 2D Dyna...

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2016 IEEE 7th International Conference on Software Engineering and Service science

作者： Li Chao Wu Lingda Zhao Bin Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Electronic Equipment Test Center

ISBN: (纸本)9781467399050

Flow is one of the most fundamental physical process in natural *** visualization can give an intuitive view of flow fields and contribute to the observation and analysis of *** flow fields are all dynamic while traditional visualization approaches are not able to reflect the trends of flows or the diversity inside *** on the research of Lagrangian Coherent Structures in Computational Fluid Dynamics,the concept of flow field topology is redefined,two typical 2D dynamic vector fields are selected for topology analysis,and the results are used to optimize the visual effects of geometric *** show that visualization of 2D dynamic vector fields based on topology analysis can extract the coherent structures of flows which are helpful to the comprehension of flow for researchers and description of characteristic difference inside flows.

关键词： flow visualization topology analysis dynamic flow fields vector fields Lagrangian Coherent Structures

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Neural network as a function approximator and its application in solving differential equations

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Applied Mathematics and Mechanics(English Edition) 2019年第2期40卷 237-248页

作者： Zeyu LIU Yantao YANG Qingdong CAI State Key Laboratory for Turbulence and Complex System Peking University Department of Mechanics and Engineering Science College of EngineeringPeking University Center for Applied Physics and Technology College of EngineeringPeking University

A neural network(NN) is a powerful tool for approximating bounded continuous functions in machine learning. The NN provides a framework for numerically solving ordinary differential equations(ODEs) and partial differential equations(PDEs)combined with the automatic differentiation(AD) technique. In this work, we explore the use of NN for the function approximation and propose a universal solver for ODEs and PDEs. The solver is tested for initial value problems and boundary value problems of ODEs, and the results exhibit high accuracy for not only the unknown functions but also their derivatives. The same strategy can be used to construct a PDE solver based on collocation points instead of a mesh, which is tested with the Burgers equation and the heat equation(i.e., the Laplace equation).

关键词： neural network(NN) function approximation ordinary differential equation(ODE)solver partial differential equation(PDE)solver

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Scaling Behaviour and Memory in Heart Rate of Healthy Human

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Chinese Physics Letters 2007年第10期24卷 3002-3005页

作者：蔡世民彭虎杨会杰周涛周佩玲汪秉宏 Department of Electronic Science and Technology University of Science and Technology of China Hefei Institute of Complex Adaptive Systems Shanghai Academy of System Science Shanghai 200093 Department of Modern Physics University of Science and Technology of China Hefei 230026 Department of Physics University of Fribourg Chemin du Muse 3 CH-1700 Fribourg Switzerland

We investigate a set of complex heart rate time series from healthy human in different behaviour states with the detrended fluctuation analysis and diffusion entropy （DE） method. It is proposed that the scaling properties are influenced by behaviour states. The memory detected by DE exhibits an approximately same pattern after a detrending procedure. Both of them demonstrate the long-range strong correlations in heart rate. These findings may be helpful to understand the underlying dynamical evolution process in the heart rate control system, as well as to model the cardiac dynamic process.

关键词： TIME-SERIES DIFFUSION SEQUENCES DYNAMICS

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A Many-Objective Algorithm with Threshold Elite Selection Strategy 11th

A Many-Objective Algorithm with Threshold Elite Selection St...

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11th International Symposium on Intelligence Computation and Applications, ISICA 2019

作者： Geng, Shaojin Wu, Di Wang, Penghong Cai, Xingjuan Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9789811555763

The study of many-objective evolutionary algorithm (MaOEA) has become particularly important, especially with the increasing complex engineering optimization problems. Considering that the convergence and diversity of the population are two important indicators to measure the performance of the algorithm, a many-objective evolutionary algorithm with threshold elite selection strategy (MaOEA-TES) are proposed in this paper. The algorithm adopts the balanceable fitness estimation strategy and the reference-point based non-dominated sorting strategy to balance the convergence and diversity of the solution. An adaptive penalty distance boundary intersection strategy is designed to dynamically adjust the impact of convergence and diversity on the algorithm. In addition, a dynamic threshold selection strategy is proposed to ensure that the algorithm emphasizes diversity at an early stage, emphasizes convergence at a later stage, and ensures that the result is closer to the real non-dominant front. The DTLZ test suite is used to evaluate the performance of MaOEA-TES. The experimental results show that the MaOEA-TES has the best performance comparing with three other state-of-the-art algorithms on many-objective optimization. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Evolutionary algorithms

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Static Unstable STT Overload Control on High-order Fully Actuated system Theory 6

Static Unstable STT Overload Control on High-order Fully Act...

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6th International Symposium on Autonomous systems, ISAS 2023

作者： Liu, Xinyu Hao, Mingrui Zhen, Yan Fan, Yu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316155

This article proposes a joint overload controller for pitch and yaw channels on the high-order fully actuated system theory for a nonlinear lateral and longitudinal static unstable STT aircraft model. Firstly, a second-order fully actuated system model for aircraft overload was derived, and an optimal control method for lateral and longitudinal overload was designed. Through mathematical simulation verification of this controller and traditional PID controller, it is shown that the PID control method has significant shortcomings in nonlinear aircraft with coupling. However, high-order fully actuated system theory control method can better adapt to nonlinear and static instability problems, achieve stable tracking of aircraft overload commands, and have better rapidity. © 2023 IEEE.

关键词： system theory

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A multi-objective localization algorithm with real average distance in WSN 21

A multi-objective localization algorithm with real average d...

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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data science and systems, HPCC/SmartCity/DSS 2019

作者： Wang, Penghong Du, Lei Cui, Zhihua Cai, Xingjuan Xie, Liping Complex System and Computational Intelligence Laboratory TaiYuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781728120584

Location information is an essential requirement in wireless sensor networks (WSN), many wireless sensor applications would be limited without location information. Distance vector-hop (DV-Hop), as a typical path-dependence algorithm, utilizes the connectivity and multi-hop transmission for estimated positioning. However, a large positioning error is caused because of its simple and rough estimated method. In this work, we analyze the defects of the existing traditional single-objective and multi-objective model based on DV-Hop algorithm, and provide a multi-objective localization model based on the real average estimated distance of all beacon nodes. Then, we solve it using the multi-objective optimization algorithm (NSGA-II), and named it RAMGA-DV-Hop. Eventually, we tested it with different aspects, and the simulation results confirm our method significantly outperforms the DV-Hop and OCS-LC-DV-Hop. Moreover, compare with existing multi-objective localization algorithms, such as NSGAII-DV-Hop, its overall performance also has advantages. © 2019 IEEE.

关键词： Wireless sensor networks

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AutolEncideraBased for High Spectral Dimensional Data Classification and Visualization 2

AutolEncideraBased for High Spectral Dimensional Data Classi...

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2nd IEEE International Conference on Data science in Cyberspace, DSC 2017

作者： Zhu, Jiang Wu, Lingda Hao, Hongxing Song, Xiaorui Lu, Yi Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Beijing China

ISBN: (纸本)9781538615997

The classification and visualization for surface objects receives a great deal of attention for high spectral dimensional data processing. A lot of methods were proposed and applied in this problem over the past decade. Whereas most of them still exist some challenge issues, include pre-treatment fussily, features extraction simplify, larger data processing difficultly and classification inaccurately. To solve these problems, we propose a novel method bases on deep learning which combines maximum noise fraction (MNF) and multilayers auto-encoders. Thereinto, MNF is used to reduce the inherent spectral dimensionality of high spectral dimensional data;autoencoders and softmax logistic regression function are applied for extracting high-level features and visualizing types of objects. On the experiments, we compared with traditional linear SVM method by using a 200-bands AVIRIS dataset over Indian Pines and a 103-bands ROSIS dataset over Italy Pavia. The results indicate that the algorithm in paper statistically significantly improved the classification and visualization accuracies and efficiencies. © 2017 IEEE.

关键词： Visualization

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