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Design and Wave Propagation Characterization of Starchiral Metamaterials

Acta Mechanica Solida Sinica 2022年第2期35卷 215-227页

作者： Yajun Xin Han Wang Cong Wang Jinxin Yao Qian Ding Haoqiang Gao Shuliang Cheng Yongtao Sun Key Laboratory of Green Construction and Intelligent Maintenance for Civil Engineering of Hebei Province Yanshan UniversityQinhuangdao 060000China Hebei Province Low-Carbon and Clean Building Heating Technology Innovation Center Yanshan UniversityQinhuangdao 060000China Department of Mechanics and Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin UniversityTianjin 300072China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China

Metamaterials with simple artificial topological properties made from industrially produced single-phase materials have extraordinary innovation and *** this paper,we investigated wave propagation characteristics of a hexastarchiral lattice metamaterial with periodic assemblies and used the finite element(FE)method to study the band gap ***,in order to understand the mechanism of band gaps,we discussed the mode shapes of unit cells and found that the bending of the ligament and the overall rotation have a high correlation with the generation of omnidirectional band *** relationships bet ween geometric parameters and band gap properties have also been systematically studied,which demonstrated that the band gaps of the proposed metamaterial could be reasonably predicted through the evolution of geometric ***,the transmission characteristics of finite sandwich panel structures composed of periodic unit cells were calculated to verify the correctness of the band gap simulation results,which proved that the proposed artificial metastructure has potential application value in vibration and noise reduction projects.

关键词： Hexastarchiral lattice metamaterials Band gap properties Finite element method Rotational resonance

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Dimension reduction graph-based sparse subspace clustering for intelligent fault identification of rolling element bearings

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International Journal of mechanical system Dynamics 2021年第2期1卷 207-219页

作者： Le Zhao Shaopu Yang Yongqiang Liu State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuangHebeiChina School of Traffic and Transportation Shijiazhuang Tiedao UniversityShijiazhuangHebeiChina

Sparse subspace clustering(SSC)is a spectral clustering *** high-dimensional data are often dispersed over the union of many low-dimensional subspaces,their representation in a suitable dictionary is ***,SSC is an effective technology for diagnosing mechanical system *** main purpose is to create a representation model that can reveal the real subspace structure of high-dimensional data,construct a similarity matrix by using the sparse representation coefficients of high-dimensional data,and then cluster the obtained representation coefficients and similarity matrix in ***,the design of SSC algorithm is based on global expression in which each data point is represented by all possible cluster data *** leads to nonzero terms in nondiagonal blocks of similar matrices,which reduces the recognition performance of *** improve the clustering ability of SSC for rolling bearing and the robustness of the algorithm in the presence of a large number of background noise,a simultaneous dimensionality reduction subspace clustering technology is provided in this *** the feature extraction of envelope signal,the dimension of the feature matrix is reduced by singular value decomposition,and the Euclidean distance between samples is replaced by correlation distance.A dimension reduction graph-based SSC technology is *** and bearing data of Western Reserve University show that the proposed algorithm can improve the accuracy and compactness of clustering.

关键词： correlation distance dimension reduction sparse subspace clustering

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Periodic-phase-diagram similarity method for weak signal detection

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International Journal of mechanical system Dynamics 2021年第2期1卷 248-255页

作者： Ruilan Tian Yangkun Zhang Shaopu Yang Kai Yuan Qiang Xue Quanrong Ren State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuangChina Department of Engineering Mechanics Shijiazhuang Tiedao UniversityShijiazhuangChina

The periodic-phase-diagram similarity method is proposed to identify the frequency of weak harmonic *** key technology is to find a set of optimal coefficients for Duffing system,which leads to the periodic motion under the influence of weak signal and strong *** the phase diagram similarity,the influences of strong noise on the similarity of periodic phase diagram are *** principle of highest similarity of periodic phase diagram with the same frequency is detected by discussing the persistence of similarity of periodic motion phase diagram under the strong noise and the periodic-phase-diagram similarity method is *** weak signals of early fault and strong noise are input into Duffing system to obtain the identified *** stochastic subharmonic Melnikov method is extended to obtain the conditions of the optimal coefficients for the identified *** on the results,the constructed frequency conversion harmonic weak signals are considered to form a datum periodic *** the change of frequency in the datum periodic system,the phase diagram similarity of the two constructed systems can be *** on the periodic-phase-diagram similarity method,the frequency of weak harmonic signals can be identified by the principle of highest similarity of periodic phase diagram with the same *** results of numerical simulation and the early fault diagnosis results of actual bearings verify the feasibility of the periodic-phase-diagram similarity *** accuracy of the detection effect is 97%,and the minimum signal-to-noise ratio is−80.71 dB.

关键词： periodic system signal-to-noise ratio stochastic subharmonic Melnikov method strong noise weak signal

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Contact Behavior of Worn Bearings with Elastoplastic Functionally Graded Coating Based on Mixed Elastohydrodynamic Lubrication

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Acta Mechanica Solida Sinica 2021年第1期34卷 124-136页

作者： Xue-Qian Fang Yao Ning Shao-Pu Yang Hai-Hua Wang State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang050043China Department of Engineering Mechanics Shijiazhuang Tiedao UniversityShijiazhuang050043China Hebei Key Laboratory for Mechanics of Smart Materials and Structures Shijiazhuang050043China School of Mechanical Engineering Shijiazhuang Tiedao UniversityShijiazhuang050043China

The dynamic contact behavior of worn bearings with elastoplastic functionally graded coating is studied,and the interacting effect between worn band and functionally graded surface is *** surface deformation and roughness are included in the film *** mixed elastohydrodynamic lubrication combined with point contact model is introduced to analyze the oil pressure in the contact *** using the Fourier transform method and Papkovich-Neuber potential function,the displacements and stress fields in the elastoplastic functionally graded coating are *** second-order central difference method is used to solve the Reynolds *** is found that the repeated surface interaction can result in the sharp increase in pressure in bearings,and the oil pressure increases with increasing graded *** entrainment of oil in the inlet and outlet zones becomes more evident if a large graded index is selected.

关键词： Wear bearings Contact behavior Elastoplastic functionally graded surface Mixed elastohydrodynamic lubrication.Central difference method

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The Scheme to Determine the Convergence Term of the Galerkin Method for Dynamic Analysis of Sandwich Plates on Nonlinear Foundations

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Acta Mechanica Solida Sinica 2021年第1期34卷 1-11页

作者： Hong-Yan Chen Hu Ding Shao-Hua Li Li-Qun Chen Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Institute of Applied Mathematicsand MechanicsSchool of Mechanics and Engineering ScienceShanghai UniversitygShanghai 200444China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversitxyShiyiazhuang 050043China

The vibration of a plate resting on elastic foundations under a moving load is of great significance in the design of many engineering fields,such as the vehicle-pavement system and the aircraft-runway *** or runways are always laminated *** Galerkin truncation method is widely used in the research of *** number of truncation terms directly affects the convergence and accuracy of the response ***,the selection of the number of truncation terms has not been clearly stated.A nonlinear viscoelastic foundation model under a moving load is *** on the natural frequency of linear undisturbed derivative systems,the truncation terms are used to determine the convergence of vibration *** criterion for the convergence of the Galerkin truncation term is *** scheme is related to the natural frequency with high efficiency and *** the dynamic response of the sandwich beam under a moving load,the feasibility of the scheme is *** effects of different system parameters on the scheme and the truncation convergence of dynamic response are *** research in this paper can be used as a reference for the study of the vibration of elastic foundation ***,the model established and the truncation analysis method proposed are helpful for studying the vibration of vehicle-pavement system and related systems.

关键词： ndwich plate Galerkin method Convergence Nonlinear foundation

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RESEARCH ON WHEEL WEAR SIMULATION AND WHEEL-RAIL CONTACT RELATIONSHIP OF HEAVY-HAUL FREIGHT WAGON

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2024年第18期2024卷 33-43页

作者： Kai, Hao Wenkai, Yang Donghui, Zhang Xinyan, Pei Chen, Wang Yuexiang, Xi School of Mechanical Enguneering Hebei University of Architecture Zhangjiakou075000 China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China

In order to study the evolution law of wheel profile wear of heavy-haul freight wagon and the influence of worn wheel profile on wheel-rail contact relationship, taking C80 heavy-haul freight wagon as the research object, the dynamic model of heavy-haul freight wagon and the prediction model of wheel wear were established by UM multi-body dynamics software. Based on vehicle-track coupling dynamics theory, Kik-Piotrowski wheel-rail contact algorithm and Archard wheel wear prediction model, wheel wear simulation research was carried out. Firstly, the correctness of the wheel wear method is verified by measuring the maximum wheel wear, and the wheel wear profile under different mileages is further predicted, and the wear under the wear profile and the variation law of wheel-rail contact parameters are analyzed. The results show that with the increase of running mileage, the wheel wear width increases, and the tread wear width of 1st wheelset is wider than that of 2nd wheelset, and it is close to the root of the wheel. At 70,000 km, the wear width of the 1st wheelset is [− 40 ~ 40 mm], while the 2nd wheelset is [− 40 ~ 36 mm], and the 1st wheelset has serious flange wear, and the flange wear rate of the 1st wheelset is 0.178 mm / 10,000 km higher than that of the 2nd wheelset, and is 2.39 times that of the 2nd wheelset. When the wheel runs up to 50,000 km, the wheel-rail contact point will jump. It is suggested that the wheel flange or rail side should be lubricated when the vehicle runs for 40,000 km in the early stage, and the wheel should be repaired when it runs for 50,000 km in the later stage. © 2024, Cefin Publishing House. All rights reserved.

关键词： Vehicle wheels

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Energy harvesting and speed sensing with a hybrid rotary generator for self-powered wireless monitoring

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Acta Mechanica Sinica 2024年第9期40卷 116-130页

作者： Zhixia Wang Hongyun Qiu Xuanbo Jiao Wei Wang Qichang Zhang Ruilan Tian Dongxing Cao School of Mechanical Engineering Tianjin UniversityTianjin 300350China Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin 300350China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China Department of Mechanics Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing 100124China

Real-time onboard health monitoring systems are critical for the railway industry to maintain high service quality and operational ***,the issue with power supplies for monitoring sensors persists,especially for freight trains that lack onboard ***,we propose a hybrid piezoelectric-triboelectric rotary generator(HPT-RG)for energy harvesting and vehicle speed *** HPT-RG incorporates a rotational self-adaptive technique that softens the equivalent stiffness,enabling the piezoelectric non-resonant beam to surpass resonance limitations in a low-frequency *** experiments demonstrate the feasibility of using the HPT-RG as an energy harvesting module to collect the rotational energy of the freight rail transport and power the wireless temperature *** allow multiple monitoring in confined spaces on trains,a triboelectric sensing module is added to the HPT-RG to sense the operation speed and mileage of ***,the generator exhibits favorable mechanical durability under more than 600 h of official testing on the train bogie *** proposed HPT-RG is essential for creating a truly self-powered,maintenance-free,and zero-carbon onboard wireless monitoring system on freight railways.

关键词： Energy harvesting Speed sensing Rotational self-adaptive technique Low-frequency Self-powered wireless monitoring

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Characteristic analysis of mechanical thermal coupling model for bearing rotor system of high-speed train

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Applied Mathematics and Mechanics(English Edition) 2022年第9期43卷 1381-1398页

作者： Yongqiang LIU Baosen WANG Shaopu YANG Yingying LIAO Tao GUO School of Mechanical Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China School of Traffic and Transportation Shijiazhuang Tiedao UniversityShijiazhuang 050043China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China School of Civil Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China Tangshan Locomotive and Rolling Stock Co. Ltd.China Railway Rolling Stock CorporationTangshan 064000Hebei ProvinceChina

Based on Newton’s second law and the thermal network method,a mechanical thermal coupling model of the bearing rotor system of high-speed trains is established to study the interaction between the bearing vibration and *** influence of lubrication on the vibration and temperature characteristics of the system is considered in the model,and the real-time relationship between them is built up by using the transient temperature field *** considering the lubrication,the bearing outer ring vibration acceleration and node temperature considering grease are lower,which shows the necessity of adding the lubrication *** corresponding experiments for characteristics of vibration and temperature of the model are respectively *** the envelope spectrum obtained from the simulation signal and the experimental signal,the frequency values corresponding to the peaks are close to the theoretical calculation results,and the error is very *** the three stages of the temperature characteristic experiment,the node temperature change of the simulation model is consistent with the *** good agreement between simulation and experiments proves the effectiveness of the *** studying the influence of the bearing angular and fault size on the system node temperature,as well as the change law of bearing lubrication characteristics and temperature,it is found that the worse the working condition is,the higher the temperature *** the ambient temperature is low,the viscosity of grease increases,and the oil film becomes thicker,which increases the sliding probability of the rolling element,thus affecting the normal operation of the bearing,which explains the phenomenon of frequent bearing faults of high-speed trains in the low-temperature area of Northeast *** analysis shows that faults often occur in the early stage of train operation in the low-temperature environment.

关键词： high-speed train coupling dynamic model thermal network method track irregularity(TI) low temperature

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Determination of safety Rock Pillar Thickness in Karst Tunnel Based on Tunnel Face Displacement Mutation Criterion 11th

Determination of Safety Rock Pillar Thickness in Karst Tunne...

引用

11th International Conference on Civil engineering, ICCE 2024

作者： Lang, Zhijun Ma, Zecheng Li, Mangyuan Qiao, Haiyang China Construction Seventh Engineering Division Corp. Ltd. Zhengzhou450016 China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China School of Civil Engineering Shijiazhuang Tiedao University Shijiazhuang050043 China

ISBN: (纸本)9783031879586

During the excavation of water-rich cave tunnels, it remains crucial to establish the safe rock pillar thickness at the excavation face to define the required reinforcement measures and guarantee operational security throughout engineering processes. Many factors, including geological conditions, the extent of karst development, and the water pressure within the karst cavity, influence the thickness of the safety rock pillar in a karst tunnel. Utilizing the displacement mutation criterion of the tunnel face, the safe rock pillar thickness for the karst tunnel is quantified through finite element modeling. The methodology commences with a test of the tunnel rock's geomechanical behavior, followed by parameter calibration for the tunnel's geological envelope. Based on the experimental correction parameters, the numerical simulation of the longitudinal deformation characteristics at the karst tunnel face is carried out, ultimately identifying the critical proximity range between solution cavities and working faces that triggers interfacial displacement instabilities. The thickness of the safe rock pillar is computationally determined through displacement mutation criterion at the tunnel face, with systematic investigation revealing the thickness of the safe rock pillar and its variation law across varying geostatic stresses and hydrostatic conditions. The results show that: (1) As submersion duration increases, the surrounding rock's cohesion and internal friction angle typically demonstrate a declining trend, resulting in reduced shear strength of the rock mass. (2) Under deeply buried conditions, the precision of the stratum structure method and its convergence limitations lead to reduced accuracy in determining safe rock pillar thickness when abrupt displacement occurs at the tunnel face, particularly when the karst cavity is positioned 1 m to 4 m from the tunnel face. (3) Integrating numerical modeling with displacement anomaly criteria enhances the accuracy of saf

关键词： Convergence of numerical methods

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A NOVEL BEARING FAULT DIAGNOSIS METHOD BASED ON FEATURE FUSION AND CONVOLUTIONAL NEURAL NETWORK 1

A NOVEL BEARING FAULT DIAGNOSIS METHOD BASED ON FEATURE FUSI...

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1st International Conference on mechanical system Dynamics, ICMSD 2022

作者： Zhao, Jing Yang, Shaopu Li, Qiang Liu, Yongqiang School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang China School of Mechanical Engineering Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (数字)9781839537837

ISBN: (纸本)9781839537837

The effective fault diagnosis method is crucial for the engineering. At present, the fault diagnosis methods based on data-driven have achieved much attention. The traditional methods only utilize one sensor or one channel data. However, there are more than one sensor or channel in the data acquisition system. To take full advantage of the connection between different channels data, a bearing fault diagnosis method based on feature fusion and convolutional neural network is put forward in this paper. First, two different channels data are fused to obtain different fault features. Then, convolutional neural network is applied to classify the different faults through the fusion features. Finally, the performance of the proposed approach is verified by the drive train dynamics simulator test. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Failure analysis

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