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Dynamic performance of six-axle locomotive subjected to asymmetric brake shoe forces

Journal of central South University 2020年第9期27卷 2776-2791页

作者： LIU Peng-fei ZHANG Kai-long cAO Yun-qiang State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China School of Mechanical Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China

To research the influence of asymmetric brake shoe forces(ABSF)induced by braking failure on the dynamic performance of six-axle locomotive,the static equilibrium model of three-axle bogie and dynamic model for locomotive are *** coupling vibration equations of axle hung motor and wheelset are *** the air braking,the influence mechanism of ABSF on the wheel-rail asymmetric motion and force characteristics are *** can be found that if the ABSF is applied in the front wheelset,all the wheelsets move laterally in the same *** the ABSF occurs in the middle or rear one,other wheelsets may move laterally towards the opposite *** motion amplitude and direction of all wheelsets strictly depend on the resultant moment of suspension yawing moment and brake shoe asymmetric *** the asymmetric braking,the free lateral gap of axle-box could increase the wheelset motion amplitude,but could not change the moving *** both the straight line and curve,the ABSF may lead to wheelset misaligning motion,intensify the wheel-rail lateral dynamic interaction and deteriorate wheel-rail contact *** for the steering wheelsets,the asymmetric braking increases the wheelset attack angle significantly,which forms the worst braking condition.

关键词： locomotive brake shoe force dynamic performance asymmetric braking wheel-rail contact

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A Novel Method for Repairing Missing Data of Bearing Vibration Signals Based on compressed Sensing 2nd

A Novel Method for Repairing Missing Data of Bearing Vibrati...

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2nd International conference of mechanical system Dynamics, IcMSD 2023

作者： Wang, Haiming Liu, Yongqiang Yang, Shaopu Li, Qiang School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing010044 China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China

ISBN: (纸本)9789819980475

The theory of compressed sensing is introduced to solve the repairing of missing data collected in PHM monitoring. An improved measurement matrix is proposed to optimize the conventional measurement matrix to increase the uncorrelation between the observation matrix and the sparse basis. Then a sparse representation of the vibration signal through discrete cosine transform (DcT) is utilized to sparse the noisy vibration signal. Finally, the orthogonal matching pursuit (OMP) algorithm is employed to reconstruct the missing signal. The method validation results show that the signal repaired by the proposed method agrees well with the original signal in the time domain, and the signal reconstructed by the optimized observation matrix has higher accuracy than the signal reconstructed by the initial observation matrix. Under different missing rates, the reconstruction error of the proposed method is smaller than other comparison methods. This shows the effectiveness and advantages of the proposed missing data recovery method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： compressed sensing

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VMD METHOD BASED ON FREQUENcY DOMAIN cORRELATED KURTOSIS AND ITS APPLIcATION IN MULTI-FAULT DIAGNOSIS OF WHEELSET BEARING 1

VMD METHOD BASED ON FREQUENCY DOMAIN CORRELATED KURTOSIS AND...

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1st International conference on mechanical system Dynamics, IcMSD 2022

作者： Li, cuixing Liu, Yongqiang State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang China School of Traffic and Transportation Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (数字)9781839537837

ISBN: (纸本)9781839537837

Parameter-adaptive VMD method is often used in rolling bearing fault diagnosis. The two key parameters K and D of VMD can be determined adaptively by using an intelligent optimization algorithm. The working environment of wheelset bearing is complex, and the existing parameter-adaptive VMD method is difficult to accurately extract the fault information of wheelset bearing. To solve this problem, a parameter-adaptive VMD method guided by the envelope power spectrum correlated kurtosis is proposed. correlated kurtosis has strong directivity and is not affected by impact noise and cyclic stationary noise. Meanwhile, at low SNR, the frequency domain correlated kurtosis is more stable than the time-domain correlated kurtosis. Therefore, taking the local maximum envelope power spectrum correlated kurtosis as the objective function, and using the global searching ability of PSO, the optimal parameter combination of VMD can be adaptively determined. VMD is used to analyze the signal, calculate the envelope power spectrum correlated kurtosis of each component, and select the largest one for envelope spectrum analysis. Through simulation and experimental analysis, it is verified that this method can accurately extract the fault characteristics of wheelset bearing under complex interference. © 2022 IET conference Proceedings. All rights reserved.

关键词： Failure analysis

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Topology transition description of horseshoe vortex system in junctureflows with velocity characteristic lines

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Theoretical & Applied Mechanics Letters 2024年第6期14卷 540-547页

作者： Bo Hu Hua Zhang Ran Li Qingkuan Liu State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China Department of Engineering Mechanics Shijiazhuang Tiedao UniversityShijiazhuang 050043China Ministry-of-Education Key Laboratory of Fluid Mechanics School of Aeronautical Science and EngineeringBeihang University(BUAA)Beijing 100191China School of Civil Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China

Particle image velocimetry and numerical simulation results of juncture flows were analyzed to parametrically investigate topology transition. The vortex system evolutions from non-vortex to multi-vortex with variations in obstacle bluntness, obstacle width, flow velocity, and boundary layer thickness are discussed from the perspective of velocity characteristic lines. The velocity characteristic lines of u = 0, υ = 0, and ∇^(2) υ = 0 are adopted to describe the vortex system evolution. The motions of the characteristic lines with juncture flow parameters are described in detail, and the corresponding reflections of the vortex system patterns are illustrated. A panoramic picture of the development of velocity characteristic lines corresponding to the HSV topology transition from a non-vortex to a multi-vortex system with variations in the juncture flow parameter is established. Two methods for determining the attachment/separation pattern of the most upstream singularity are proposed. One method is based on the number of intersections of the u = 0 and υ = 0 velocity characteristic curve lines, and the other is based on the relative positions of the most upstream feet of the u = 0 and υ = 0 loop curves with both feet attached to the wall.

关键词： Juncture flow Topology transition Velocity characteristic lines

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Application Research of cEEMDAN in Early Fault Diagnosis of Rolling Bearing

Application Research of CEEMDAN in Early Fault Diagnosis of ...

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2021 IEEE International conference on Sensing, Diagnostics, Prognostics, and control, SDPc 2021

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

ISBN: (纸本)9781665449762

In order to solve the difficulty of extracting early fault features of rolling bearings under strong background noise, a new fault diagnosis method for rolling bearings based on complementary ensemble empirical mode decomposition with adaptive noise (cEEMDAN). Firstly, in order to enhance the impact characteristics of signals, a set of IMF components were obtained by cEEMDAN. Then kurtosis was used as the evaluation index to select the effective component to obtain recombined signal. Finally, the envelope feature of the recombined signal was analyzed to judge the fault location. The validity and superiority of the proposed method are verified compared with other methods through the experimental analysis of the rolling bearings. © 2021 IEEE.

关键词： Failure analysis

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Research on Automatic Modeling Method for Railway Linear structures

Research on Automatic Modeling Method for Railway Linear Str...

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2023 International conference on Remote Sensing, Mapping, and Geographic systems, RSMG 2023

作者： Sun, Xiaohao Nie, Liangtao School of Transportation Shijiazhuang Tiedao University Shijiazhuang China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University School of Transportation Shijiazhuang China

ISBN: (纸本)9781510668898

The key point and difficulty in realizing the rapid modeling of railway line 3D scenes is the automatic modeling technology of railway line entity model. Parametric modeling of linear structures is the committed step to realize automatic modeling of railway line structure. According to the characteristics of linear structures in line structure, this paper proposes an automatic modeling method based on lofting modeling for railway line 3D scenes. First, construct the section template library of the line structure. call the template according to certain rules. Then, through the lofting procedures, the automatic modeling of the linear structure is realized under the parameter drive. Finally, by developing applications driven control parameter values, automated modeling of railway linear structures was completed. compared with the traditional 3D modeling methods, the modeling method of lofting can realize the automatic modeling of linear structures in long strip railway line more quickly. © 2023 SPIE.

关键词： 3D modeling

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Synthesis and Performance characterization of a Low Adsorption clay-resistant Polycarboxylate Superplasticizer

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Journal of Wuhan University of Technology(Materials Science) 2021年第3期36卷 446-455页

作者： ZHANG Ying WANG Pengshuo SUN Guowen YANG Jianming GAO Rui School of Materials Science and Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China College of Civil Engineer-ing Yancheng Institute of TechnologyYancheng 224051China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang050043China Heibei Key Laboratory of Advanced Materials for Transportation Engineering and Environment Shijiazhuang Tiedao UniversityShijiazhuang050043China

A low adsorption clay-resistant polycarboxylate superplasticizer(KN-Pc)was synthesized using acrylic acid and isopentenol polyoxyethylene ether as the main reaction *** structural characterization and clay-resistant mechanism of the KN-Pc were explored using Fourier transform infrared spectroscopy and X-ray diffraction,and the effect of the KN-Pc on the performance of composite paste with various montmorillonite(MMT)contents was *** with ordinary polycarboxylate superplasticizer(Pc),the KN-Pc has a low sensitivity to the *** the action of the MMT,the adsorption dosage of the KN-Pc on the MMT is much smaller than that of the Pc.

关键词： polycarboxylate superplasticizer clay-resistant montmorillonite performance synthesis

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Effect of Wheel-Rail Interface Friction coefficient on Wheel Wear Evolution of Heavy Haul Locomotive 2nd

Effect of Wheel-Rail Interface Friction Coefficient on Wheel...

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2nd International conference of mechanical system Dynamics, IcMSD 2023

作者： Kai, Hao Pengfei, Liu chen, Wang bo, Liu Zhaoxin, Ma School of Mechanical Engineering Shijiazhuang Tiedao University Shijiazhuang050043 China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China Key Laboratory of Mechanical Behavior Evolution and Control of Traffic Engineering Structures in Hebei Shijiazhuang Tiedao University Shijiazhuang050043 China School of Mechanical Engineering Hebei University of Architecture Zhangjiakou075000 China

ISBN: (纸本)9789819980475

Aiming at the serious problem of wheel wear of six-axle heavy haul locomotive, the wheel-rail interface friction theory is introduced to study the influence of different friction coefficients on wheel wear. The heavy haul locomotive-track coupling dynamic model and wheel wear model are established by UM software, and the rail top/rail side lubrication simulation conditions are set to analyze the evolution law of wheel profile and the change of wear amount. The results show that: The higher the friction coefficient of the rail top will reduce the tread wear of the first and third wheelset, but increase the flange wear rate. Under the friction coefficient of 0.40 at the rail top, the wear rates of the flanges of the first-to-third wheelset are 0.72, 0.41, and 0.52 mm/10,000 km, respectively. When the friction coefficient of the rail top is 0.40, the wear reduction rates of the flanges of the first-to-third wheelset are 16.88%, 9.97% and 9.11%, respectively, but the wear reduction of the flanges of the second wheelset is 0.20 mm under the friction coefficient of the rail top of 0.20. The research results provide a reference for wheel wear reduction of heavy haul locomotives, and provide a new idea for the research of locomotive wheel-rail interface friction management. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Flanges

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Frost-resistant embankments with a novel ground source heat pump system

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Research in cold and Arid Regions 2024年第6期16卷 292-301页

作者： TianFei Hu Li Wang TengFei Wang Tiecheng Sun TianFeng Li State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuangHebei 050043China School of Civil Engineering Shijiazhuang Tiedao UniversityShijiazhuangHebei 050043China Key Laboratory of High-Speed Railway Engineering Southwest Jiaotong UniversityMinistry of EducationChengduSichuan 610031China

This study introduces a novel artificial heating technique aimed at addressing frost heave issues in embankments on frozen ground,offering a sustainable *** evaluations assessed various heating systems,including boilers,heat pumps,solar heaters,and electric heaters,focusing on their thermal performance and *** study subsequently designed and implemented a direct-expansion ground source heat pump(DX-GSHP)system as the primary heat source for embankment *** testing confirmed the DX-GSHP system's ability to maintain a heat-supply temperature above 40℃ and a heat-absorption temperature below -3.5℃,effectively extracting geothermal energy for transfer to the topsoil *** a demonstrated coefficient of performance(cOP)of 3.49,the DX-GSHP system not only proves its energy efficiency but also suggests a potential role in reducing the strain on electricity supply *** of DX-GSHPs,with heating capacities ranging from 1.0 to 2.0 kW and spaced at intervals of 2.0-4.0 m,provides a rapid thermal response to frost heave in singletrack railway embankments,thereby potentially mitigating frost-induced damage in cold climate regions.

关键词： Frost heave Embankment Artificial heating Ground source heat pump coefficient of performance

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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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