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6th CAA International Conference on Vehicular Control and Intelligence, CVCI 2022

作者： Li, Shaohua Yang, Zekun Shijiazhuang Tiedao University Behavior and System Safety of Traffic Engineering Structures State Key Laboratory of Mechanical Shijiazhuang China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

A linear tire model with constant conering stiffness does not guarantee the model accuracy, while a traditional nonlinear tire model has to face complicated parameter adjustment problems. In order to improve the adaptive capability of path tracking controller for a in-wheel motor drive electric vehicle (IDEV), the cornering stiffness is regarded as a time-varying parameter when tire sideslip angle increases. For the upper controller, the lateral tire force is estimated online based on square root cubature Kalman filter (SRCKF) to solve the cornering stiffness uncertainty. Then a prediction model of MPC with cornering stiffness modified is proposed to reduce the effect of model mismatch. For the lower controller, an active front steering control (AFS) and direct yaw moment control (DYC) based on integrated MPC is designed to track path and improve handling stability. The proposed control strategy is verified under extreme conditions through CarSim/Simulink simulation. It is shown that the strategy effectively improves the accuracy of path tracking and the stability of vehicle compared with the conventional MPC controller. © 2022 IEEE.

关键词： Tires

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Establishment of the thermo-mechanical coupling model of axle box bearings with track irregularity excitation and analysis of its temperature characteristics

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Applied Mathematics and Mechanics(English Edition) 2024年第11期45卷 1965-1986页

作者： Min WANG Shaopu YANG Yongqiang LIU Yanhong CHEN Kai ZHANG State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang050043China School of Traffic and Transportation Shijiazhuang Tiedao UniversityShijiazhuang050043China School of Mechanical Engineering Shijiazhuang Tiedao UniversityShijiazhuang050043China CRRC Tangshan Co. Ltd.Tangshan063000Hebei ProvinceChina China Water Resources Beifang Investigation Designand Research Co.Ltd.Tianjin300222China

As an important component of the running gear of high-speed trains,axle box bearings can cause lubricating grease failure and damage to bearing components under continuous high-temperature operation,which will affect the normal operation of highspeed ***,bearing temperature is one of the key parameters to be monitored in the online monitoring system for *** on the thermal network method,this paper establishes a thermal network model for the axle box bearing,considering the radial thermal deformation of the double-row tapered roller bearing components caused by the oil film characteristics and the temperature variations of the lubricating grease.A thermo-mechanical coupling model for the grease-lubricated double-row tapered roller axle box bearing of high-speed trains with track irregularity excitation is *** correctness of the model is verified using the test bench data,and the temperature of the bearing at different rotational speeds,loads,fault sizes,and ambient temperatures are investigated.

关键词： axle box bearing thermal network method temperature rotational speed

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Study on the Mechanism of Polygonal Wear in Wheels Based on Wheel-Rail Contact Normal Force

Study on the Mechanism of Polygonal Wear in Wheels Based on ...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Zhou, Zichao Liu, Yongqiang Guo, Tao Wang, Tiecheng Huo, Wenbiao State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China School of Mechanical Engineering Shijiazhuang Tiedao University Shijiazhuang050043 China CRRC TANGSHAN CO. LTD. Tangshan063000 China

ISBN: (纸本)9789819639687

To address the issue of high-order polygonal wear in high-speed trains operating at 300 km/h, this paper investigates the influence of bogie modal vibration on the initiation and progression of such wear phenomena. The model simulation incorporates the modal vibrations of both the frame and the wheelset, while also accounting for non-Hertzian contact and track irregularity within a long-term iterative wear model, thereby enhancing its alignment with real-world operational conditions. The main conclusions are: The vibration frequency of the wheel-rail contact normal force, influenced by running speed and sleeper spacing, plays a key role in the initiation of polygonal wear. The fourth-order bending resonance of the wheelset is the primary cause of the 20th-order polygon wear and its rapid development. Suspension parameters have a significant impact on the wear index, and proper adjustment of these parameters can effectively slow the progression of polygonal wear. The findings of this paper hold theoretical value and practical significance in understanding the formation and progression mechanisms of polygonal wear, as well as in developing effective measures for its mitigation. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Railroads

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Contact Analysis Between Rollers and Raceway of Axle Box Bearing Under Multi-source Fault 2nd

Contact Analysis Between Rollers and Raceway of Axle Box Bea...

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2nd International Conference of mechanical system Dynamics, ICMSD 2023

作者： Ma, Qiaoying Yang, Shaopu Liu, Yongqiang School of Transportation Shijiazhuang Tiedao University Shijiazhuang050043 China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China School of Mechanical Engineering Shijiazhuang Tiedao University Shijiazhuang050043 China

ISBN: (纸本)9789819980475

The axle box bearing is highly nonlinear and affected by external excitation factors during the service process, such as the running environment of the vehicle and wheel-rail excitations. Based on the coupling dynamics model of a high-speed train and axle box bearing, wheel tread damage and bearing outer ring fault were introduced in this paper. On this basis, the contact force between the roller and raceway of the bearing in the presence of multi-source faults was analyzed. In addition, the simulation of the vehicle running in tangent-line and curve-line conditions was carried out, and the evolution law of bearing contact force was further revealed through analysis. Through research, it is found that the curve-line running conditions have a significant impact on the bearing contact force. The following conclusions can be drawn from the analysis: If the wheel is normal, faulty bearings are more affected when running in a tangent-line, while normal bearings are more affected when running in a curve-line. The maximum difference between the tangent and curve conditions occurs in normal bearing of the longitudinal direction. If the wheel is defective, the distribution of contact force in curve-line running is close, with peak values of 251.77 kN. Meanwhile, the RMS of the fault bearing essentially stays the same in comparison to the normal bearing, so the vibration caused by a bearing fault is relatively weak when compared to the excitation caused by a wheel flat. When running in a curve, the contact force of the normal bearing in the longitudinal direction increases by a factor of about 74.69, with the largest growth range. The smaller the radius of the curve, the greater the influence of the contact force, and also the larger the fluctuation of the contact force between the roller and raceway, so that the probability of bearing fatigue damage greatly increases. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Railroads

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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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Effects of cavitation on vortex-induced vibration of a flexible circular cylinder simulated by fluid-structure interaction method

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Journal of Hydrodynamics 2022年第3期34卷 499-509页

作者： Zhi-jian Xiao Shi-hao Yang Cao Yu Zhen Zhang Lei Sun Jiang Lai Yan-ping Huang Key Laboratory for Mechanics in Fluid Solid Coupling Systems Institute of MechanicsChinese Academy of SciencesBeijing100190China Nuclear Power Institute of China Chengdu610041China Beijing Electro-mechanical Engineering Institute Beijing100074China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang050043China

To investigate the effects of the cavitation on the vortex-induced vibration,the flow and the vibration characteristics of a flexible circular cylinder in the non-cavitating and cavitating flows at Re=200 are simulated using a fluid-structure interaction(FSI)solver,developed in the OpenFOAM *** accuracy of the fluid-structure interaction solver is verified using the benchmark *** a freely vibrating circular cylinder,the characteristics of the vortex-induced vibration are determined at different frequency *** frequency lock-in is observed in both the cavitating flow and the non-cavitating flow,and the lock-in frequency range is larger in the cavitating flow with a smaller vibration *** the lock-in frequency range,due to the reduction of the fluid forces and the resonance effects at the dominant frequency,the vibration amplitude is decreased in the cavitating flow,as compared to the non-cavitating ***,the low-density vapor and the cavitation collapse weaken the constraints of the flow and the stability of the shedding vortices,respectively,making the flow around the circular cylinder more sensitive to the structural ***,the lock-in frequency range is larger in the cavitating flow.

关键词： Fluid-structure interaction(FSI) cavitation lock-in frequency vortex-induced vibrations OpenFOAM

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Predictive fatigue crack growth law of high-strength steels

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Journal of Materials Science & Technology 2022年第5期100卷 46-50页

作者： H.F.Li P.Zhang B.Wang Z.F.Zhang Laboratory of Fatigue and Fracture for Materials Shi-changxu Innovation Center for Advanced MaterialsChinese Academy of SciencesInstitute of Metal ResearchShenyang 110016China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China

The fatigue resistance of metallic materials is generally attributed to both strength and ***,these properties are mutually exclusive in most *** theories like Paris’law only provide some data correlation schemes rather than a predictive capability,which cannot satisfactorily guide the anti-fatigue *** this study,for the first time,the predictive fatigue crack growth rate law is proposed by considering the effects of both strength and ***,a quantitative criterion is established for judging the fatigue crack resistance of high-strength *** predictive law would provide a unique view to the quantitative anti-fatigue design of metallic materials.

关键词： Fatigue crack growth Strength and toughness Paris’law High-strength steels

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Variable-length Genetic Algorithm based Blind Deconvolution for Railway Bearing Fault Diagnosis

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IEEE Sensors Journal 2025年

作者： Shi, Guangze Gu, Xiaohui Yang, Shaopu Li, Hefei Liu, Zechao Shijiazhuang Tiedao University State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang050043 China

Blind deconvolution (BD) methods have shown significant promise in machinery fault diagnosis, yet their performance remains constrained by fixed filter length and susceptibility to local optima. To tackle this problem, this paper presents a variable-length genetic algorithm (VGA) to optimize the blind filter for railway bearing fault diagnosis under complex interference. Unlike existing works, an attempt is made to determine the length and coefficients of the optimal blind filter in a general framework by introducing a cutting-splicing operator to replace the crossover to achieve chromosome length variation during the optimization iteration. Based on several popular BD approaches, including MED, MCKD, MGID, and MESSD, their variable-length optimized version, i.e. VGA-MED, VGA-MCKD, VGA-MGID, VGA-MESSD, are proposed and rigorously compared with the original version and the fix-length optimized version, i.e. GA-MED, GA-MCKD, GA-MGID, GA-MESSD by both simulated and experimental railway bearing faulty signals. The results demonstrated the effectiveness and adaptability of the novel methods in recovering fault-induced repetitive transients. Furthermore, the adaptability and generalizability of the given framework make it a robust solution for BD-based fault diagnosis in industrial applications. © 2001-2012 IEEE.

关键词： Genetic algorithms

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Fault Diagnosis Method for Multiple Sources based on IESFSC-SSRgram

Fault Diagnosis Method for Multiple Sources based on IESFSC-...

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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2024

作者： Zhihao, Wu Shixian, Gong Chenguang, Huang Hang, Jin Zechao, Liu Crrc Qingdao Sifang Locomotive and Rolling Stock Co. Ltd National Engineering Laboratory Qingdao China Behavior and System Safety of Traffic Engineering Structure and School of Mechanical Engineering Shijiazhuang Tiedao University State Key Laboratory of Mechanical Shijiazhuang China Data Management Engineering Center Weichai Power Co. Ltd. Weifang China Institute of Magnetic Levitation and Electromagnetic Propulsion China Aerospace Science and Industry Corporation Limited Beijing China Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University State Key Laboratory of Mechanical Shijiazhuang China

ISBN: (纸本)9798350388855

The division and determination of frequency bands are always core problems in fault diagnosis methods for rotating machinery. Currently, the frequency band division strategy of most fault diagnosis methods is the 1/3-binary tree or realized by wavelet packet transform (such as fast kurtosis diagram and Autogram). This method is relatively fixed, making it difficult to accurately cover the resonance frequency band and achieve multi-source fault identification. To address the above problems, an adaptive frequency band division strategy based on Fast Spectral Correlation (FSC) and Scale-Space Representation (SSR) is proposed. The enhanced enveloping spectrum (EES) of each frequency band after division is obtained, and the improved Fault Quantification Index (IFQI) is used to measure the richness of target information in each enveloped spectrum (ES), generating a two-dimensional diagram. The envelope spectrum with the largest IFQI value is selected as the improved envelope spectrum (IES) obtained by the FSC and SSR division strategy (IESFSC-SSRgram), enabling the fault diagnosis of the axle box bearing. The effectiveness and superiority of the proposed method in identifying multi-source concurrent faults in the wheelset bearing system are verified by comparing it with the traditional method. © 2024 IEEE.

关键词： Binary trees

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A Subdomain Adaptation Based Bearing Fault Diagnosis Method Using Infrared Thermal Images

A Subdomain Adaptation Based Bearing Fault Diagnosis Method ...

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International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

作者： Jie Yao Xiaohui Gu State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (数字)9798350388855

ISBN: (纸本)9798350388862

A sub-domain transfer learning method based on multi-scale convolutional neural network and infrared thermal images is proposed to improve the diagnostic accuracy of bearing faults. Firstly, infrared thermal images with more characteristic information are used to represent the healthy condition of bearings instead of vibration signals. Then, a multi-scale convolutional neural network model is constructed to enhance the feature extraction ability, and a sub-domain adaptation method is used to deal with the situation when training and testing samples are not consistent of independent identically distribution. The proposed method is verified by two datasets from rotating machinery and railway bearing test bench. The results show its effectiveness and robustness than some popular peer transfer learning strategies and vibration signal based methods.

关键词： Vibrations Fault diagnosis Training Time-frequency analysis Accuracy Transfer learning Feature extraction Convolutional neural networks Spectrogram Testing

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