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International Conference on Automation and Computing (ICAC)

作者： Yunjia Zhang Dongliang Cui Weiqiang Wang Xubin Sun Zhiming Yuan Zhongbei Tian Xuewu Dai State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Shandong High-Speed Rail Transit Group Co. Ltd China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Signal and Communication Research Institute China Academy of Railway Sciences Corporation Limited Beijing China School of Engineering The University of Birmingham Birmingham UK Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle Upon Tyne UK

ISBN: (数字)9798350360882

ISBN: (纸本)9798350360899

Aiming at dynamic scheduling in multi-train timetable, a optimization model of multi-train timetable and speed profile optimization for energy conservation is proposed. The proposed approach integrates train operation trajectory optimization with the scheduling of arrival and departure times at stations. At each instance, the highest-priority train operation process is selected, and optimization is performed for the operation of only one train between stations. Various constraints are considered to ensure safe train operation and prevent conflicts with preceding trains. By collaboratively regulating and optimizing train arrival/ departure time, speed profile, traction/braking force, minimizing train traction energy consumption and minimizing power peak can be achieved. The objectives are combined into a single-objective nonlinear optimization problem through weighted summation, which is then solved using the differential evolution algorithm. The simulation verification conducted on the Yizhuang Line demonstrates that this method enables more efficient utilization of energy while also recovery from the delay. The train traction energy consumption was reduced by 11.35%. This work provides an important technical support and guidance for realizing the green, low-carbon and sustainable development of urban rail transit in the future.

关键词： rails Energy consumption Optimization models Energy conservation Green products Dynamic scheduling Traction power supplies Delays Optimization Trajectory optimization

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Back analysis of rock mass parameters in mechanized twin tunnels based on coupled auto machine learning and multi-objective optimization algorithm

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Journal of Rock Mechanics and Geotechnical engineering 2025年

作者： Chengwen Wang Xiaoli Liu Jiubao Li Enzhi Wang Nan Hu Wenli Yao Zhihui He Department of Hydraulic Engineering State Key Laboratory of Hydroscience and Engineering Tsinghua University Beijing 100084 China YSD Rail Transit Construction Company Limited Guangzhou 510630 China

Accurate determination of rock mass parameters is essential for ensuring the accuracy of numerical simulations. Displacement back-analysis is the most widely used method; however, the reliability of the current approaches remains unsatisfactory. Therefore, in this paper, a multistage rock mass parameter back-analysis method, that considers the construction process and displacement losses is proposed and implemented through the coupling of numerical simulation, auto-machine learning (AutoML), and multi-objective optimization algorithms (MOOAs). First, a parametric modeling platform for mechanized twin tunnels is developed, generating a dataset through extensive numerical simulations. Next, the AutoML method is utilized to establish a surrogate model linking rock parameters and displacements. The tunnel construction process is divided into multiple stages, transforming the rock mass parameter back-analysis into a multi-objective optimization problem, for which multi-objective optimization algorithms are introduced to obtain the rock mass parameters. The newly proposed rock mass parameter back-analysis method is validated in a mechanized twin tunnel project, and its accuracy and effectiveness are demonstrated. Compared with traditional single-stage back-analysis methods, the proposed model decreases the average absolute percentage error from 12.73% to 4.34%, significantly improving the accuracy of the back-analysis. Moreover, although the accuracy of back analysis significantly increases with the number of construction stages considered, the back analysis time is acceptable. This study provides a new method for displacement back analysis that is efficient and accurate, thereby paving the way for precise parameter determination in numerical simulations.

关键词： Back analysis of rock parameters auto machine learning multi-objective optimization algorithm mechanized twin tunnels parametric modeling

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Three-Dimensional Collapse Analysis for a Shallow Cavity in Layered Strata Based on Upper Bound Theorem

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Computer Modeling in engineering & Sciences 2020年第7期124卷 375-391页

作者： Hongtao Wang Ping Liu Lige Wang Chi Liu Xin Zhang Luyao Liu School of Civil Engineering Shandong Jianzhu UniversityJinanChina Key Laboratory of Building Structural Retrofitting and Underground Space Engineering(Shandong Jianzhu University) Ministry of EducationJinanChina Department of Chemical and Biological Engineering University of SheffieldSheffieldUK State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhanChina Jinan Rail Transit Group Co. Ltd.JinanChina

Layered rock strata are observed to be common during the excavation of tunnels or cavities,and may significantly affect the deformation and failure characteristics of surrounding rock masses due to various complex forms and mechanical *** this paper,we propose a three-dimensional axisymmetric velocity field for roof collapse of shallow cavities in multi rock layers,by considering the influences of roof cross-section shapes,supporting pressure,ground overload,*** internal energy dissipation rate and work rates of external forces corresponding to the velocity field are computed by employing the Hoek-Brown strength criterion and its associated flow ***,the equations of the collapse surfaces and the corresponding weight of collapsing rock masses are derived on the basis of upper bound ***,we validate the proposed method by comparing the results of numerical calculations and existing research *** change laws of the collapse range under varying parameters are obtained for the presence of rectangular and spherical *** also find that the three-dimensional mechanism is relatively safer for engineering designing actually,compared with the traditional two-dimensional *** these conclusions may provide workable guidelines for the support design of shallow cavities in layered rock strata practically.

关键词： Shallow cavity three-dimensional collapse layered rock strata upper

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Failure Mode of Interlayer Connection of Longitudinally-Connected Ballastless Track-Bridge System Under Uneven Pier Settlement

SSRN

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SSRN 2022年

作者： Feng, Yulin Hou, Yu Jiang, Lizhong Zhou, Wangbao Li, Hongyan Yu, Jian East China Jiaotong University State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure Nanchang330013 China Central South University National Engineering Research Center of High-speed Railway Construction Technology Changsha410075 China

The generation and mechanical balance mechanisms and the deformation compatibility relationship of interlayer interface connection failure (IICF) of a longitudinally-connected ballastless track-bridge system ( LBTBS ) caused by uneven pier settlement is analyzed in this paper. The characterization model of the uneven pier settlement and the IICF of the LBTBS was derived based on Castigliano's Second Theorem, Linear Superposition Principle, Heaviside function, and Tension-free Winkler beam. The characterization model was further verified by the field measured data of a high-speed railway. Finally, the development law of the IICF of the LBTBS caused by uneven pier settlement based on the characterization model was analyzed. The results show that the calculated results of the characterization model agree well with the field measured data of the track inspection vehicle, which verifies the correctness of the characterization model. Under uneven pier settlement, a void beneath the slab first appeared between the base slab and bridge, and then mortar debonding occurred between the CA mortar and track/base slab. With the increase in the uneven pier settlement value, the length and height of the void beneath the slab increased. The maximum height of the void beneath the slab developed away from the bridge beam gap, and the length of mortar debonding was initially unchanged and eventually increased. With the increase in mileage, the height of the void beneath the slab and mortar debonding increased first and then decreased. In practical engineering, mortar debonding is not easy to notice, and the void beneath the slab between the base slab and the bridge should be inspected regularly. The existing fastener failure had little influence on developing a void beneath the slab caused by the uneven pier settlement. The existing mortar void aggravated the occurrence of mortar debonding. When the length of the existing mortar void was less than 3 m, there was little effect on the le

关键词： railroad transportation

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Research on the Damage Mechanism of Rolling Contact Fatigue of Wheel-rail Contact Under the Influence of Wheel Surface Defects

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SSRN 2024年

作者： Chen, Daoyun Zhong, Minshi Mou, Minghui Xiao, Qian Liu, Xinlong Yang, Wenbin Zhu, Shaoguang Liu, Baochen Lin, Fengtao Railway Industry Key Laboratory of Intelligent Operation and Maintenance of Rolling Stock East China Jiaotong University Nanchang330013 China State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure East China Jiaotong University Nanchang330013 China School of Transportation Engineering East China Jiaotong University Nanchang330013 China Network and Information Center East China Jiaotong University Nanchang330013 China China Academy of Railway Sciences Corporation Limited Beijing100081 China

Severe rolling contact fatigue(RCF) can be affected by wheel surface defects, which will threaten the operational safety of rail vehicles. In order to explore the wheel RCF damage mechanism under the influence of surface defects, this study used an indentation device to prepare surface defects. Twin-disc RCF and wear test and finite element analysis (FEA) were conducted, and the influence of surface defects on wheel RCF damage was explored by observing the surface and cross-section of wheel defects. The results show that as the number of rolling increases, the RCF crack generates in the maximum stress concentration area of the defect, that is, the middle edge area of the defect, and expands in a "C" shape. The leading edge of the defect spalls off first due to the large amount of laminar cracks. As the cracks continue to propagate, eventually large pieces of spalling can be seen. The FEA results show that the residual stress distributed on the shoulder around the defect is the largest. The maximum residual tensile stress is located on the lower surface of the defect and the largest stress concentration is located on both sides of the middle edge of the defect when the wheel is rolling. © 2024, The Authors. All rights reserved.

关键词： Surface defects

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Conductivity Invariant Phenomenon of Eddy Current Sensor: Metal Magnetic Permeability and Probe Parameters

Conductivity Invariant Phenomenon of Eddy Current Sensor: Me...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Fenglong Wang Jianhui Ma Fengying Zeng Yating Yu Cheng Sun Haipeng Yang School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Aero Engine Corporation of China Sichuan Gas Turbine Research Institute Mianyang China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Jiangxi Busbar New Energy Technology Co. Ltd Chengdu China

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

In eddy current non-destructive testing (EC NDT), the electrical conductivity and magnetic permeability of the sample are two fundamental factors influencing the eddy current signal. The coupling effect between the electrical conductivity and magnetic permeability of metallic materials not only reduces the accuracy of the eddy current signal but also affects the sensitivity of magnetic permeability measurements. In recent years, the conductivity invariant phenomenon (CIP) has been demonstrated to effectively eliminate the influence of electrical conductivity in magnetic permeability detection. Therefore, this study employs the finite element method (FEM) to systematically analyze the effects of magnetic permeability variations and probe parameters, including excitation signal frequency, coil turns, inner diameter, and outer diameter, on the CIP. We find that magnetic permeability variations affect the reference value of CIP but have a negligible impact on the depth of the conductivity invariant point. Additionally, optimizing probe parameters such as excitation frequency and coil turns can significantly enhance CIP performance in practical applications. The results reveal the mechanism of magnetic permeability changes that influence CIP and provide a theoretical foundation for optimizing probe design in future CIP applications. This study aims to enhance the stability and applicability of CIP, providing theoretical support for its further promotion and widespread application in engineering practices.

关键词： Coils Simulation Metals Conductivity Stability analysis Permeability Finite element analysis Probes Eddy currents Testing

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Stochastic Resonance Array for Designing Noise-Boosted Filter Banks to Enhance Weak Multi-Harmonic Fault Characteristics of Machinery

SSRN

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SSRN 2023年

作者： Qiao, Zijian Zhang, Chenglong Zhang, Cailiang Ma, Xin Zhu, Ronghua Lai, Zhihui Zhou, Shengtong Zhejiang Provincial Key Laboratory of Part Rolling Technology School of Mechanical Engineering and Mechanics Ningbo University Zhejiang Ningbo315211 China Yangjiang Offshore Wind Power Laboratory Guangdong Yangjiang529500 China Ocean College Zhejiang University Zhejiang Zhoushan316021 China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong China Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure East China Jiaotong University Jiangxi Nanchang330013 China

Noise in stochastic resonance (SR) is beneficial to enhance weak useful information and has been widely stuided and applied to real-world signal detection. In tristable SR, however, the depth of middle potential well is not equal to those of both left and right potential wells and adjusting the system parameters would change the depth and width of three potential wells simultaneously. Therefore, the role of potential-well width and potential-barrier height or potential-well depth in a triple-well potential on SR has not been investigated separately yet and the effect of a both uniform depth and different depth between left/right potential well and middle well in a triple-well potential on SR has not been explored yet. Meanwhile, SR is used to weak signal detection and early fault diagnosis, but it ofter processes a complex signal into a sine shaped one, resulting in the loss of multi-harmonic signature embedded in the raw signal. To advoid this, this paper investigates underdamped SR induced by a symmetric triple-well potential with a uniform depth. Then, a SR array based noise-boosted filter bank method is proposed to enhance weak multi-harmonic fault characteristics for early fault diagnosis of machinery. Theoretical results using spectral amplification factor to quantify SR indicate that tristable SR induced by a symmetric triple-well potential with a uniform depth is supperior to that induced by a symmetric triple-well potential with a different depth, increasing the potential-well width would maximize the spectral amplification factor of the tristable SR but keep the optimal noise intensity unchange basically, and increasing the potential-well depth would decrease the spectral amplification factor of the tristable SR but enlarge the optimal noise intensity obviously. Experimental results demonstrate that the proposed method is able to enhance weak multi-harmonic fault characteristics for early fault diangosis of roller bearings. Comparing with accugram and mini

关键词： Failure analysis

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A Coord-Aware Transformer for Pedestrian Fall Detection

A Coord-Aware Transformer for Pedestrian Fall Detection

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Chinese Automation Congress (CAC)

作者： Haoyuan Zheng Enguang Hou Yuyi Jiang Zhen Shen Gang Xiong Chuanfu Li Tao Han The College of Rail Transit of Shandong Jiaotong University Qingdao Academy of Intelligent Industries Qingdao China Jinan China The College of Rail Transit of Shandong Jiaotong University Jinan China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China Shandong Hi-Speed Qingdao Development Company Group Qingdao China

The detection of fallen pedestrians is one of the key problems in automatic driving. Due to complex road conditions, the detection of fallen pedestrians during driving is still challenging for occlusion and small targets. Usually, existing methods such as convolutional networks have low detection accuracy for these cases. Therefore, in this paper we propose to apply the Coord-Aware Transformer YOLOv7 (T-YOLOv7) method to the detection of fallen pedestrians. The CoordConv Feature Pyramid Networks (C-FPN) and the CoordConv perception Detect (C-Detect) are designed. By introducing feature coordinate channels, the network can perceive the spatial information of the feature map, improve the detection of occluded targets. Add the Biformer module to the C-FPN to improve the detection accuracy of small targets. In addition, we use the Wise-IoU to replace the original network CIoU, it can focus on ordinary prediction boxes. The improved network model achieved 87.45 % mAP on the open source data set Fall detection Database, which increased by 3.72%mAP and 5.25 % mAP compared with YOLOv7 and PDD-FCOS, respectively.

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Editorial: Tomography traces the growing cracks and defects

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engineering Fracture Mechanics 2023年 292卷

作者： Wu, Shengchuan Withers, Philip J. Beretta, Stefano Kang, Guozheng State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University Chengdu610031 China Henry Royce Institute Department of Materials The University of Manchester ManchesterM13 9PL United Kingdom Politecnico di Milan Department of Mechanical Engineering via La Masa 1 Milan20156 Italy

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Conductivity Invariant Phenomenon of Eddy Current Sensor: Metal Magnetic Permeability and Probe Parameters 26

Conductivity Invariant Phenomenon of Eddy Current Sensor: Me...

引用

26th International Conference on Industrial Technology, ICIT 2025

作者： Wang, Fenglong Ma, Jianhui Zeng, Fengying Yu, Yating Sun, Cheng Yang, Haipeng School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu611731 China Aero Engine Corporation of China Sichuan Gas Turbine Research Institute Mianyang621000 China State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University Chengdu611731 China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Jiangxi Busbar New Energy Technology Co. Ltd Chengdu611731 China

ISBN: (纸本)9798331521950

关键词： Eddy current testing

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