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International Conference on Artificial Intelligence and Autonomous transportation, AIAT 2024

作者： Li, Lei Chen, Zhifa Wang, Jian Zhou, Bin Yu, Guizhen Chen, Xiaoxuan Key Laboratory of Autonomous Transportation Technology for Special Vehicles Ministry of Industry and Information Technology School of Transportation Science and Engineering Beihang University Beijing100191 China

ISBN: (纸本)9789819639564

Recently, the application of autonomous driving in open-pit mining has garnered increasing attention for achieving safe and efficient mineral transportation. Compared to urban structured roads, unstructured roads in mining sites have uneven boundaries and lack clearly defined lane markings. This leads to a lack of sufficient constraint information for predicting the trajectories of other human-driven vehicles, resulting in higher uncertainty in trajectory prediction problems. A method is proposed to predict multiple possible trajectories and their probabilities of the target vehicle. The surrounding environment and historical trajectories of the target vehicle are encoded as a rasterized image, which is used as input to our deep convolutional network to predict the target vehicle’s multiple possible trajectories. The method underwent offline testing on a dataset specifically designed for autonomous driving scenarios in open-pit mining and was compared and evaluated against physics-based method. The open-source code and data are available at https://***/LLsxyc/mine_motion_prediction. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Open pit mining

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Methanolysis of ammonia borane catalyzed by NiO-CuO heterostructured nanosheets:cooperation of visible light and oxygen vacancy

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Rare Metals 2025年第1期44卷 389-403页

作者： You-Xiang Shao Yuan-Zhong Li Xue-Qi Lian Xiao-Ting Che Qian-Yi Li Yu-Fa Feng Hui-Ze Wang Jin-Yun Liao Quan-Bing Liu Hao Li School of Chemistry and Materials Engineering Huizhou UniversityHuizhou516007China Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology Changzhou UniversityChangzhou213164China Guangzhou Key Laboratory of Clean Transportation Energy Chemistry School of Chemical Engineering and Light IndustryGuangdong University of TechnologyGuangzhou510006China

Developing cost-effective and high-activity catalysts for the methanolysis of ammonia borane(AB)has attracted great attention in the field of hydrogen energy *** the modification of the electronic structure of the catalysts,external factors such as visible light irradiation can improve the efficiency of hydrogen production as *** the present study,a Z-scheme heterostructured VO-Cu_(0.5)Ni_(0.5)O catalysts were constructed by introducing a plenteous phase interface and oxygen vacancy(Vo).The catalytic activity of as-prepared VO-Cu_(0.5)Ni_(0.5)O toward AB methanolysis has been improved dramatically with the assistance of visible light *** turnover frequency(TOF)under visible light irradiation was measured to be 29_(mol)H_(2)·molcat.^(-1)·min^(-1),which is 1.4 times larger than the TOF in the absence of visible *** characterization experiments and density functional theory(DFT)calculations were conducted to unveil the causation of enhanced catalytic *** results demonstrated that the enhancement of the catalytic activity of VO-Cu_(0.5)Ni_(0.5)O originated from the electronic structure modification induced by the formation of heterojunctions,the introduction of oxygen vacancies,and the assistance of visible light *** formation of heterojunction and the introduction of oxygen vacancies provoked the upshift of the d-band center;while the visible light irradiation induced the photogenerated electrons to transfer from Cu to Ni sites at the *** electron structure modulation is beneficial for the construction of abundant active sites,thereby enhancing the adsorption of methanol on the Ni sites,which is considered as the rate-determine step for the methanolysis of *** strong interaction between Ni and O weakened the O-H bond of methanol,accelerating the methanolysis of *** results demonstrate the utilization of combined heterojunction,oxygen vacancy,and visible light to explore highly active AB

关键词： Ammonia borane Methanolysis Heterojunction Oxygen vacancy Density functional theory(DFT)calculation

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Adaptive Sliding-Mode Speed control Integrated Extended State Observer for Maglev DC Excited Linear Synchronous Motor

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年第2期13卷 2601-2611页

作者： Ding, Hao Kang, Jinsong Zhao, Yuanzhe Ou, Dongxiu Tongji University College of Electronic and Information Engineering Key Laboratory of Railway Industry of Maglev Technology Shanghai201804 China Tongji University College of Transportation Key Laboratory of Railway Industry of Maglev Technology Shanghai201804 China Tongji University Key Laboratory of Road and Traffic Engineering of the Ministry of Education Shanghai200070 China

Classical speed controller is challenged by nonlinear factors such as discontinuities in the stator iron cores, fluctuations in excitation current, and variations in the suspension air gap, leading to speed fluctuations, especially during low-speed operation of maglev trains. To address these issues and enhance control performance, a robust speed controller is proposed in this article, which inherently integrates the advantages of sliding-mode control (SMC) and extended state observer (ESO). Specifically, an adaptive sliding-mode reaching law is developed that directly incorporates ESO, eliminating the need for a separate disturbance observer to compensate for the control signal. This integration enables real-time disturbance updates, reducing the chattering effect typically associated with traditional exponential reaching laws (ERLs) and improving dynamic performance under significant disturbances. Subsequently, the mathematical model of the dc excited linear synchronous motor (LSM) is established, and a speed controller is designed using forward Euler’s discretization scheme with the adaptive sliding-mode reaching law. Finally, a dc excited LSM experimental platform is built to validate the proposed method. Comparative experiments demonstrate the superior dynamic performance and fluctuation suppression capabilities of the proposed method. © 2013 IEEE.

关键词： State estimation

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Applicability Analysis of Traffic Network in Guanzhong City Cluster Based on Intercity Travel Demand 11th

Applicability Analysis of Traffic Network in Guanzhong City ...

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11th International Conference on Traffic and transportation Studies, ICTTS 2024

作者： Zhang, Jiaqi Wang, Yuanqing College of Transportation Engineering Chang’an University Xi’an710064 China Key Laboratory of Transport Industry of Management Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area Xi’an710064 China

ISBN: (纸本)9789819796434

Intercity traffic networks support the integrated and synergistic development of city clusters. However, there is a notable gap between outdated traffic construction and growing intercity travel demand. This paper constructs a comprehensive intercity traffic network for the Guanzhong city cluster. By projecting population, GDP, and employment at district level, the intercity travel demand is quantitatively predicted by applying the improved four-stage method. The applicability of intercity traffic network is analyzed, and strategies are proposed to solve the problem of imbalanced supply and demand of intercity traffic. The study indicates that (1) with the economic and social development, the total scale of intercity passenger traffic has grown significantly in the planning year. (2) There is a 66% high level of intercity traffic within the provinces, and intercity travel between provinces mainly originates from border cities. (3) The road network saturation in the core area has increased significantly, leading to increasing "centripetal" transit traffic pressure. A series of parameter calibration methods for intercity traffic models are developed to improving the decision-making level of Guanzhong city cluster traffic planning. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Decision making

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Prediction model for lifting performance in deep-sea mining based on flow patterns 10

Prediction model for lifting performance in deep-sea mining ...

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2024 10th International Forum on Manufacturing technology and engineering Materials, ICMTEM 2024

作者： Chen, Hailong Jiang, Pan Xiong, Ting Tang, Dingding College of Transportation and Logistics Engineering Wuhan University of Technology Wuhan China College of Transportation and Logistics Engineering Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan China China Construction Third Bureau Green Industry Investment Co. LTD. China

Utilizing the momentum theorem, flow pattern analysis, and the drift flux method, a comprehensive theoretical model for air lifting in gas-liquid-solid transportation within deep-sea mining has been developed. The results indicate that as the gas mass flow rates increase, there is an initial rapid rise in the particle mass flow rates, followed by stabilization. Concurrently, lifting efficiency shows an initial increase before declining, peaking at lower gas mass flow rates. Increasing the riser diameter or immersion ratio, as well as deepening the air injection port, significantly enhances both the particle mass flow rates and lifting efficiency, while expanding the range of highly efficient gas mass flow rates to improve system lifting capacity. This suggests that under high immersion rates or with larger injection port depths, an air lifting system can utilize a higher gas mass flow rate to enhance production capacity. This study not only provides effective theoretical support for air lifting systems in deep-sea mining but also introduces novel concepts and avenues for further research and engineering practice in related fields. © Published under licence by IOP Publishing Ltd.

关键词： Deep sea mining

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Research on Temperature Effect Separation Method of Bridge Deflection Monitoring Data Based on Complementary Ensemble Empirical Mode Decomposition and Fast Independent Component Analysis

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ce/papers 2025年第2期8卷 1722-1736页

作者： Chen, Yixin Liu, Hao Liu, Zhanghao Meng, Libo Liao, Jingbo State Key Laboratory of Bridge Engineering Structural Dynamics and Key Laboratory of Bridge Earthquake Resistance Technology for Transportation Industry Chongqing400067 China China Merchants Chongqing Communications Technology Research & Design Institute Co. Ltd. Chongqing400067 China Chongqing Wukang Technology Co. Ltd. Chongqing404100 China

Bridge deflection monitoring signals encompass the responses of vehicle loads, temperature loads, and shrinkage creep of concrete, and the temperature effect of bridge deflection can mask the signal characteristics reflecting the bridge operational status, thereby influencing the bridge status assessment. This paper proposes a temperature effect separation method for bridge deflection monitoring data, based on complementary ensemble empirical mode decomposition (CEEMD) and fast independent component analysis (FastICA). First, the single-channel bridge deflection signal is decomposed into a series of intrinsic mode functions (IMFs) by using CEEMD;next, the energy entropy increment-based discriminant method is used for identifying and eliminating the false IMF components, and those IMF components with large energy entropy increments compose the input signal;finally, the input signal is separated via FastICA. Based on the separation results and periodic pattern of temperature change, the temperature difference effect of bridge deflection monitoring data is recognized and separated. The correlation coefficients between the simulation analysis results of the separated signals and the source signal are above 0.95. Furthermore, in-service bridge deflection monitoring data analysis results indicate that the correlation coefficient between the source signal and the separation signal, as well as the symmetrical measuring point signals, is greater than 0.95, which demonstrates the applicability and practicality of the method in engineering applications. © 2025 Ernst & Sohn GmbH.

关键词： Empirical mode decomposition

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Impact fracturing of rock-like material using carbon dioxide under different temperatures and pressures

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Journal of Rock Mechanics and Geotechnical engineering 2025年第1期17卷 370-384页

作者： Shaobin Hu Zhengyong Yan Chun Zhu Manchao He Shuogang Pang College of Civil and Transportation Engineering Hohai UniversityNanjing210098China Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering Hohai UniversityNanjing210098China School of Earth Sciences and Engineering Hohai UniversityNanjing210098China National Key Laboratory for Disaster Prevention Controland Intelligent Construction and Maintenance of Tunnel EngineeringChina University of Mining and Technology(Beijing)Beijing100083China School of Mechanics and Civil Engineering China University of Mining and TechnologyBeijing100083China

Unconventional resources (oil, gas, and geothermal) are often buried deep underground within dense rock strata and complex geological structures, making it increasingly difficult to create volumetric fractures through conventional hydraulic fracturing. This paper introduces a novel method of supercritical energetic fluid thermal shock fracturing. It pioneers a CO_(2) deflagration impact triaxial pneumatic fracturing experimental system, using high-strength similar materials to simulate deep, hard rock masses. The study investigates the rock-breaking process and crack propagation patterns under supercritical CO_(2) thermal shock, revealing and discussing the types of thermal shock-induced fractures, their formation conditions, and discrimination criteria. The research indicates that higher supercritical CO_(2) thermal shock pressures and faster pressure release rates facilitate the formation of radial branching fractures, circumferential cracks, and branch cracks. Typically, CO_(2) thermal shock generates 3–5 radial main cracks, which is significantly more than the single main crack formed by hydraulic fracturing. The formation of branched cracks is often caused by compression-shear failure and occurs under relatively harsh conditions, determined by the confining pressure, rock properties, peak thermal shock pressure, and the pressure sustained post-decompression. The findings are expected to offer a safe, efficient, and controllable shockwave method of supercritical fluid thermal shock fracturing for the exploitation of deep unconventional oil and gas resources.

关键词： Cracking mechanism Supercritical CO_(2) True triaxial experimental Impact fracturing

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Properties and hydration products analysis of magnesium slag-based filling materials

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Alexandria engineering Journal 2025年 126卷 408-417页

作者： Liu, Zunqing Gong, Jingwei Ji, Haojie Zhong, Xiaoling Dong, Jun Xie, Haiwei School of Traffic and Logistics XinJiang Agricultural University XinJiang Urumqi830052 China College of Hydraulic and Civil Enginering XinJiang Agricultural University XinJiang Urumqi830052 China Key Laboratory of Highway Engineering Technology and Transportation Industry in Arid Desert Regions Xinjiang Urumqi830000 China

This study investigates the properties and hydration products of filling materials based on modified magnesium slag (MMS) and unmodified magnesium slag (UMS). Two types of MMS (MMS-A and MMS-B) were compared with UMS through various analyses. X-ray diffraction revealed that MMS predominantly contained β-C2S, while UMS was dominated by γ-C2S. Strength activity index tests showed superior performance of MMS, with MMS-A and MMS-B achieving 97.53 % and 89.46 % at 3 days, respectively, compared to 68.5 % for UMS. Isothermal calorimetry demonstrated that MMS-based pastes had shorter induction periods and higher heat release rates, with MMS-A reaching a peak of 0.470 mW/g at 30 hours, while UMS peaked at 0.203 mW/g at 66 hours. Compressive strength tests at 28 days yielded 8.39 MPa for MMS-A, 8.08 MPa for MMS-B, and 4.99 MPa for UMS-based pastes. Microstructural analyses, including SEM, TG-DTG, and FT-IR, confirmed denser C-S-H formation and more refined pore structures in MMS-based pastes. The minimal differences between MMS-A and MMS-B across all tests demonstrated the stability of the modification process. These findings suggest that MMS offers a promising alternative for sustainable filling materials in mining applications, effectively valorizing an industrial by-product while potentially improving backfill performance. © 2025

关键词： Cementitious activity Hydration kinetics Microstructural development Sustainable backfill Industrial by-product valorization

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Efficient Sampling-based Trajectory Planning with Dual-Layer Probabilistic Intention Prediction for Autonomous Driving in Complex Intersections

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IEEE Transactions on Vehicular technology 2025年

作者： Chen, Zhifa Yu, Guizhen Cao, Guoxi Wang, Sifen Zhou, Bin Chen, Peng Beihang University Key Laboratory of Autonomous Transportation Technology for Special Vehicles Ministry of Industry and Information Technology School of Transportation Science and Engineering Beijing100191 China

Navigating complex urban intersections remains a significant challenge for autonomous vehicles due to highly dynamic and dense traffic environments. This paper presents a novel trajectory planning framework designed to address these challenges by integrating a dual-layer probabilistic rad-lane intention prediction model with an efficient sampling-based trajectory planner. The proposed dual-layer model comprises three components: short-term vehicle kinematic prediction-based road-level intention inference, Interactive Multiple Model (IMM)-based lane-level intention inference, and target-lane-based trajectory generation. This architecture broadens the application scope and validates the effectiveness of the IMM-based multi-model probabilistic fusion framework in urban intersection scenarios. By incorporating both road-level and lane-level contextual information, the proposed trajectory prediction method significantly enhances prediction accuracy. Additionally, a longitudinal sampling strategy based on predefined maneuver modes is employed to improve the probabilistic completeness of existing parametric curve-based sampling techniques, facilitating rapid and effective obstacle avoidance. A notable advantage of the proposed sampling strategy is its ability to efficiently and probabilistically generate safe and feasible trajectories in challenging intersection scenarios. Extensive simulation results demonstrate that the proposed framework outperforms existing methods in terms of both efficiency and safety in urban intersection vehicle conflict scenarios. © 1967-2012 IEEE.

关键词： Trajectories

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Reinforcement Learning-Based Adaptive Safety Tracking controller for Autonomous Mining Trucks

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IEEE Transactions on Vehicular technology 2025年

作者： Xia, Qi Chen, Peng Xu, Guoyan Zhou, Bin Yu, Guizhen Beihang University Key Laboratory of Autonomous Transportation Technology for Special Vehicles Ministry of Industry and Information Technology School of Transportation Science and Engineering Beijing100191 China

Efficient path tracking for autonomous mining trucks in open-pit mines is challenging due to high curvature paths, rapidly changing curvature rates, long control delays, and low control precision. To tackle it, reinforcement learning (RL) was introduced for path tracking control of autonomous mining trucks, through designing separate RL control networks and adjustment networks to adapt to mining paths and the truck's control response. To address the computational time and black-box issues associated with RL, an adaptive preview controller was used to simplify the state inputs and improve computational efficiency, and a safety control strategy was implemented to mitigate the safety risks posed by the black-box nature of the model. Simulation tests on actual mining paths show the RL controller achieves an average lateral error under 0.05 m with an average execution time under 10ms, and the safety layer effectively intervenes when network control fails. Field experiment results show a maximum lateral error under 0.22m with an average execution time under 20ms, ensuring safe driving even in complete network control failure. © 2025 IEEE.

关键词： Open pit mining

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