Based on previous research results, this paper investigated the influence of fracture morphology on mechanical properties and failure modes of rock mass with two diagonal intersected fractures. This study carried out ...Based on previous research results, this paper investigated the influence of fracture morphology on mechanical properties and failure modes of rock mass with two diagonal intersected fractures. This study carried out a series of triaxial compression tests on rock-like specimens with two crossed fractures under negative temperature, concluded the following conclusions. The strength and failure modes of rock mass are significantly influenced by the dips of two crossed fractures. The strength of rock mass with two frac- tures cannot simply be estimated using the method that was developed for the rock mass with a single fracture. When the intersecting angle is less than 30~, the failure plane initiates at the tip of "artificial rup- tures" and extends to the upper and lower ends of the specimen. In case of a higher dip and intersecting angle ranging from 30° to 60°, the failure plane propagates along one of these two fractures. The mechan- lca! parameters of rock mass are not only related to the trace length, but also depend on the trace !ength ratio. One could roughly calculate the strength parameters using the approximation proposed in.this paper..For the rock mass with a trace length ratio 〈0.3 (short trace length/long trace length), the failure mode is dependent on the fracture with a longer trace length. When the trace length becomes significant and the trace length ratio approximates to 1, the failure plane propagates along two fractures, where an X-shaped.failure pattern is presented: For the rock mass with moderate frac!ures and a trace length ratio of approxlmately 1, the failure mode Is.Independent on fractures, which is simllar to .the damage pattern of intact rock. The strength, and elastic .modulus of rock mass decrease with the increase of spacing between fractures, whl!e Polsson's ratio is Independent on the spacing. The failure mode can be deter- mined by the area. of triangle created by two fractures. Damage occurs at the smaller triangle area first, and propagates with the two sides of the larger triangle.展开更多
To study the penetration mechanism of cement-based slurry in intersected fractures during grouting and the related pressure distribution,we have used two different variants of cement,namely,basic cement slurry and fas...To study the penetration mechanism of cement-based slurry in intersected fractures during grouting and the related pressure distribution,we have used two different variants of cement,namely,basic cement slurry and fast-setting cement slurry.The influence of a retarder,time-varying viscosity,fracture width and location of injection hole is also considered.A finite element software is used to implement two and three-dimensional numerical models for grouting of intersected fractures in hydrostatic conditions.Results show that there are significant differences in the diffusion morphology and pressure distribution depending on the considered cement slurry.Retarder can effectively slow down the rising rate of injection pressure and extend the diffusion distance of grout.The influence of the branch fracture is more important when basic cement slurry is considered,indicating that the change of grout pressure is correlated with the slurry viscosity.The faster the viscosity increases,the less evident is the effect.展开更多
Numerous intersected rock fractures constitute the fracture network in enhanced geothermal systems.The complicated convective heat transfer behavior in intersected fractures is critical to the heat recovery in fractur...Numerous intersected rock fractures constitute the fracture network in enhanced geothermal systems.The complicated convective heat transfer behavior in intersected fractures is critical to the heat recovery in fractured geothermal reservoirs.A series of three-dimensional intersected fracture models is constructed to perform the flow-through heat transfer simulations.The geometry effects of dead-end fractures(DEFs)on the heat transfer are evaluated in terms of intersected angles,apertures,lengths,and the connectivity.The results indicate that annular streamlines appear in the rough DEF and cause an ellipse distribution of the cold front.Compared to plate DEFs,the fluid flow in the rough DEF enhances the heat transfer.Both the increment of outlet water temperatureΔToutand the ratio of heat production Qrpresent the largest at the intersected angle of 90°while decline with the decrease of the intersected angle between the main flow fracture(MFF)and the DEFs.The extension of the length of intersected DEFs is beneficial to heat production while enhancing its aperture is not needed.Solely increasing the number of intersected DEFs induces a little increase of heat extraction,and more significant heat production can be obtained through connecting these DEFs with the MFF forming the flow network.展开更多
In order to verify the flow interference at the fracture intersections, a group of hydraulic simulations of crossing flow was carried out. The manifold interference effects at the intersection of fractures on water fl...In order to verify the flow interference at the fracture intersections, a group of hydraulic simulations of crossing flow was carried out. The manifold interference effects at the intersection of fractures on water flow has been confirmed extensively either in the normal or in the oblique intersected tubes as well as in the intersected tubes of either equal or variant diameters. Consequently, suggest that the fissure network can no longer be taken as a set of solitary fractures, but as a set of elementary intersected fractures. The deflection effect at fracture intersections on the water flow should be taken into consideration when is dealt with any theory related to the water migration in fractures.展开更多
Three-way control combiner valves(TCCVs)are critical components used in nuclear power plants to regulate the concentration of boron acid for neutron absorption and reactor safety.However,current TCCV designs often suf...Three-way control combiner valves(TCCVs)are critical components used in nuclear power plants to regulate the concentration of boron acid for neutron absorption and reactor safety.However,current TCCV designs often suffer from suboptimal control performance and high flow resistance,leading to control deviations and reduced operational efficiency.In this paper,a numerical model based on the standard K–ωturbulence model is established and validated against experimental data to analyze the flow characteristics and local flow resistance of a TCCV.A parametric design method for the throttling windows is proposed,establishing relationships between shape parameters and performance indexes,including control performance and flow resistance.The adaptive non-dominated sorting genetic algorithm(ANSGA-II)is used to optimize the shape parameters of the throttling windows.The optimization results show an improvement in the performance indexes of the TCCV,with the adjustable operating range increasing by 31.0%and the maximum local resistance decreasing by 18.3%.We also introduce the concepts of effective and controllable domains to characterize the inlet backflow phenomena and regulation dead zones,which are crucial for ensuring the reliability and effectiveness of control valves.These findings provide insights for enhancing the design and performance of TCCVs in nuclear power plants.展开更多
Traffic at urban intersections frequently encounters unexpected obstructions,resulting in congestion due to uncooperative and priority-based driving behavior.This paper presents an optimal right-turn coordination syst...Traffic at urban intersections frequently encounters unexpected obstructions,resulting in congestion due to uncooperative and priority-based driving behavior.This paper presents an optimal right-turn coordination system for Connected and Automated Vehicles(CAVs)at single-lane intersections,particularly in the context of left-hand side driving on roads.The goal is to facilitate smooth right turns for certain vehicles without creating bottlenecks.We consider that all approaching vehicles share relevant information through vehicular communications.The Intersection Coordination Unit(ICU)processes this information and communicates the optimal crossing or turning times to the vehicles.The primary objective of this coordination is to minimize overall traffic delays,which also helps improve the fuel consumption of vehicles.By considering information from upcoming vehicles at the intersection,the coordination system solves an optimization problem to determine the best timing for executing right turns,ultimately minimizing the total delay for all vehicles.The proposed coordination system is evaluated at a typical urban intersection,and its performance is compared to traditional traffic systems.Numerical simulation results indicate that the proposed coordination system significantly enhances the average traffic speed and fuel consumption compared to the traditional traffic system in various scenarios.展开更多
To address the challenge of distinguishing subjective aggressive driving(initiated by drivers)from hazardous behaviors caused by external cyberattacks,this study proposes an innovative intent recognition framework nam...To address the challenge of distinguishing subjective aggressive driving(initiated by drivers)from hazardous behaviors caused by external cyberattacks,this study proposes an innovative intent recognition framework named Intent-Decipher.By integrating the information credibility outputted by an intrusion detection system(IDS)into a security-aware inverse reinforcement learning(SA-IRL)model,the framework infers the reward function behind vehicle behaviors and classifies three key driving intents:normal,aggressive,and malicious.Experiments were conducted on a semi-synthetic dataset containing 20000 trajectories.Results show that Intent-Decipher significantly outperforms baseline methods in classification accuracy,achieving a macro-average F1-score of 0.94.Notably,Intent-Decipher excels at differentiating subjective aggressive driving from attack-induced behaviors:its F1-score for identifying malicious attack-induced(MAI)intent reaches 0.90,an absolute improvement of 0.16 compared with the standard inverse reinforcement learning(IRL)model(which lacks security awareness and only achieves an F1-score of 0.74).展开更多
Electrification has become a major trend in the automotive industry.Compared with traditional fuel-powered vehicles,electric vehicles(EVs)exhibit stronger acceleration performance,which may impact traffic safety risks...Electrification has become a major trend in the automotive industry.Compared with traditional fuel-powered vehicles,electric vehicles(EVs)exhibit stronger acceleration performance,which may impact traffic safety risks.The pronounced acceleration capability of EVs is particularly evident at low speeds,with signalized intersections—key components of road networks—facing complex traffic flows and heightened safety risks.Therefore,investigating the impact of EVs’strong acceleration on traffic safety risks at signalized intersections is crucial for ensuring urban traffic safety.This study utilizes unmanned aerial vehicles(UAVs)and roadside cameras to construct a detailed trajectory dataset,including license plate types and vehicle dimensions.Based on time to collision(TTC)as a fundamental metric and incorporating the risk management quadrant principle,a two-dimensional integrated safety surrogate indicator is proposed,accounting for both collision probability and severity.The study also achieves automated extraction of safety surrogate indicators from trajectory data,quantifying the impact of EVs on traffic safety risks at signalized intersections.Case studies in urban and suburban areas provide a comparative analysis of driving behaviors and interactive safety risks between EVs and fuel-powered vehicles.At a 90%confidence level,the frequency of events where EVs have a higher likelihood of collisions but lower severity is 0.87%higher than that of fuel-powered vehicles,indicating that EVs are more likely to experience low-severity collisions.展开更多
Fast beam migration(FBM),characterized by its super-high efficiency in velocity model building,consists of three main steps:beam forming,beam propagation,and image forming.The super-high efficiency is achieved by beam...Fast beam migration(FBM),characterized by its super-high efficiency in velocity model building,consists of three main steps:beam forming,beam propagation,and image forming.The super-high efficiency is achieved by beam forming,as it needs only to be performed once for one dataset and is independent of velocity,and the other two steps take relatively little time.However,compared to the beam-propagation and image-forming steps,the beam-forming step is still quite time-consuming owing to the high-dimensional computing problem of estimating the source and receiver slope orientation of a beam.Furthermore,previous methods for estimating the source and receiver slope orientation of a beam struggled to deal with intersecting events,leading to poor imaging results for complex subsurface structures,such as unconformities or faults,where events often intersect.We propose the use of a three-step multimodal optimization method based on the neighborhood crowding differential evolution(NCDE)algorithm to estimate the source and receiver slope orientation of a beam during the beam-forming step,which can quickly and accurately obtain slope orientations when events intersect.We first test the three-step multimodal optimization algorithm on a 3D super-gather and provide the parameter criteria.We then apply the FBM based on the three-step multimodal optimization algorithm to the Marmousi 2 and 3D SEG/EAGE salt models.Both results demonstrate that the proposed method can image intersecting events well and that the imaging quality of complex zones is improved.We also apply the proposed method to a 2D offshore seismic dataset containing abundant intersecting events,which validates the practicality of the proposed method.展开更多
Subway operations generate substantial heat,and inadequate dissipation can progressively degrade tunnel thermal conditions.The thermal distribution within the surrounding rock is critical for calculating the load on s...Subway operations generate substantial heat,and inadequate dissipation can progressively degrade tunnel thermal conditions.The thermal distribution within the surrounding rock is critical for calculating the load on subway environmental control systems.However,the heat transfer patterns in the surrounding rock for intersecting tunnels remain poorly understood.Therefore,this study employs COMSOL software to numerically analyze the impact of intersecting line layouts on the temperature field distribution within the surrounding rock.Results indicate that when tunnels intersect,heat accumulates in the surrounding rock near the intersection.Compared to the single-tunnel structure,intersecting tunnels exhibit higher peak temperature when reaching dynamic thermal equilibrium,and the time required to achieve equilibrium is longer.Reducing the vertical spacing between intersecting tunnels concentrates heat within the intersection zone,leading to elevated temperature in that area.However,when the vertical spacing exceeds 12 m,the numerical value no longer exhibits significant variation with vertical spacing.The intersection angle also influences the temperature distribution characteristic and numerical value.The smaller intersection angle causes heat to concentrate within the crossing zone,leading to an overall increase in surrounding rock temperature within that area.Additionally,the rate of temperature increase in the rock mass at the intersection zone and the magnitude of temperature at dynamic equilibrium are significantly influenced by geographical factors.The lower the ambient temperature in the climate zone where the intersecting subway tunnels are located,the faster the temperature rise rate at the intersection zone.When heat transfer in the rock mass reaches dynamic equilibrium,the temperature difference at the same monitoring point can reach approximately 10℃ between severely cold and temperate regions.展开更多
PyQED is an open-source Python package designed for the numerical simulation of strongly coupled elec-tron-nuclear quantum dynamics,in particular,conical intersection dy-namics.Besides conventional nona-diabatic wavep...PyQED is an open-source Python package designed for the numerical simulation of strongly coupled elec-tron-nuclear quantum dynamics,in particular,conical intersection dy-namics.Besides conventional nona-diabatic wavepacket dynamics methods based on the Born-Huang representation and mixed quantum-classical Ehrenfest dynamics,PyQED implements the geometric quantum dynamics based on the local diabatic representation,which provides a numerically exact framework for nonadiabatic quantum molecular dynamics.It differs from the conven-tional Born-Huang representation in that all non-Born-Oppenheimer effects are accounted for by a single electronic overlap matrix between adiabatic states,therefore removing the sin-gular derivative couplings.The complete workflow for ab initio modeling of conical intersec-tion dynamics is illustrated through the internal conversion dynamics in the H3+cation.PyQED provides a powerful and user-friendly computational platform for first-principles quantum dynamics,with applications to photochemical and photophysical processes.展开更多
Urban intersections contain severe blind zones where buildings and roadside obstacles block lineof-sight sensing,limiting the ability of autonomous vehicles to anticipate hidden hazards.This paper presents an urban-in...Urban intersections contain severe blind zones where buildings and roadside obstacles block lineof-sight sensing,limiting the ability of autonomous vehicles to anticipate hidden hazards.This paper presents an urban-intersection-oriented non-line-of-sight(NLOS)perception framework that exploits specular reflections from building surfaces using 77 GHz frequency-modulated continuous-wave(FMCW)automotive radar.All evaluations are conducted in a MATLAB-based simulation environment that models intersection geometry,building-induced occlusions,and specular reflection-assisted propagation,and generates 77-GHz FMCW radar echoes under controllable interference;real-world validation with measured radar data and richer multipath/material modeling is planned as future work.To improve robustness under noisy intersection interference,we propose a deep-learning-based mitigation module that restores corrupted radar echoes at the chirp level using a compact AlexNet-derived 1D regression backbone,with minimal architectural changes that insert a residual block after conv2 and apply batch normalization to enhance training stability and suppress interference while preserving informative echo characteristics.The restored echoes are then processed by conventional estimation steps to obtain range and azimuth-related angles.Under severe interference(Noise Factor=3.0),unmitigated measurements exhibit large errors(root-mean-square error(RMSE)=5.48 m/18.95°/10.77°for range/angle/azimuth deviation).Conventional AlexNet-based mitigation reduces these errors to 0.75 m/0.83°/0.93°,while the proposed improved AlexNet further reduces them to 0.56 m/0.46°/0.73°.The results demonstrate improved signal stability and measurement accuracy,supporting the potential practicality of low-cost NLOS perception in simulation for safety-critical autonomous driving at occluded urban intersections,subject to future real-world validation.展开更多
The Go board is rectangular in shape,featuring a pit at each end designed for storing playing pieces.The board comprises a 17×17 grid,forming 289 intersection points where pieces are placed.The two sets of pieces...The Go board is rectangular in shape,featuring a pit at each end designed for storing playing pieces.The board comprises a 17×17 grid,forming 289 intersection points where pieces are placed.The two sets of pieces are distinguished by color—black and white—each meticulously polished and uniformly sized,comparable in quality and appearance to those used by modern Go players.展开更多
主题:交通与科技篇幅:338词建议用时:7分钟“1 For your safety,please ride bicycles in the non-motorized lane,”a voice called out to a cyclist veering into the motor vehicle lane at a busy intersection in Wuhu City,Anhui...主题:交通与科技篇幅:338词建议用时:7分钟“1 For your safety,please ride bicycles in the non-motorized lane,”a voice called out to a cyclist veering into the motor vehicle lane at a busy intersection in Wuhu City,Anhui Province.The warning,however,came not from a human traffic officer,but from a humanoid robot standing upright on a safety island.展开更多
This paper aims to enhance highway traffic efficiency by integrating a project focused on signal timing optimization at highway intersections.Supported by intelligent technologies,a reasonable optimization system is c...This paper aims to enhance highway traffic efficiency by integrating a project focused on signal timing optimization at highway intersections.Supported by intelligent technologies,a reasonable optimization system is constructed.Practical application demonstrates that the signal timing optimization at highway intersections under this system yields significant results,substantially improving traffic efficiency.This provides a reference for subsequent signal timing optimization at highway intersections,aligning with the development needs of the intelligent transportation context.展开更多
The intersection is a widely used traffic line structure from the shallow tunnel to the deep roadway,and determining the subsidence hidden danger area of the roof is the key to its stability control.However,applying t...The intersection is a widely used traffic line structure from the shallow tunnel to the deep roadway,and determining the subsidence hidden danger area of the roof is the key to its stability control.However,applying traditional maximum equivalent span beam(MESB)theory to determine deformation range,peak point,and angle influence poses a challenge.Considering the overall structure of the intersection roof,the maximum equivalent triangular plate(METP)theory is proposed,and its geometric parameter calculation formula and deflection calculation formula are obtained.The application of the two theories in 18 models with different intersection angles,roadway types,and surrounding rock lithology is verified by numerical analysis.The results show that:1)The METP structure of the intersection roof established by the simulation results of each model successfully determined the location of the roof’s high displacement zone;2)The area comparison method of the METP theory can be reasonably explained:①The roof subsidence of the intersection decreases with the increase of the intersection angle;②The roof subsidence at the intersection of different roadway types has a rectangular type>arch type>circular type;③The roof subsidence of the intersection with weak surrounding rock is significantly larger than that of the intersection with hard surrounding rock.According to the application results of the two theories,the four advantages of the METP theory are compared and clarified in the basic assumptions,mechanical models,main viewpoints,and mechanism analysis.The large deformation inducement of the intersection roof is then explored.The J 2 peak area of the roof drives the large deformation of the area,the peak point of which is consistent with the center of gravity position of the METP.Furthermore,the change in the range of this peak is consistent with the change law of the METP’s area.Hence,this theory clarifies the large deformation area of the intersection roof,which provides a clear guiding basis for its initial support design,mid-term monitoring,and late local reinforcement.展开更多
To accurately analyze proppant transport in rough intersecting fractures and elucidate the interaction mechanisms among liquid,particles,and rough walls,this study reconstructed a numerical model of fractures in inhom...To accurately analyze proppant transport in rough intersecting fractures and elucidate the interaction mechanisms among liquid,particles,and rough walls,this study reconstructed a numerical model of fractures in inhomogeneous reservoirs with varying brittleness index(BI).Various auto-correlation Gaussian rough fracture models were created using Matlab to assess roughness through the fractal dimension method.This research innovatively combined Boolean operations to establish three-dimensional rough fracture models,incorporating(Computational Fluid Dynamics)CFD-DEM(Discrete Element Method)with a bidirectional method for cosimulation.The proppant transport in fractures was categorized into three zones based on the difference in the turbulent kinetic energy.Artificially induced fracture roughness increases fluid retention and turbulence,causing plugging effects and limiting proppant flow into branch fractures.Additionally,compared with the superior deposition and significant support effects of the spherical proppant,the low-sphericity proppant traveled farther under fracturing fluid,inducing more pronounced plugging near curved fracture intersections;the variation in fracture intersection angles primarily impacted the wall shear stress within the flow field,indicating smaller angles led to higher shear energy at the intersection.Compared with the intersection angle of 30°,the height and area deposited in the 90 branch fracture increased by 52.25%and 65.33%,respectively:notably,injecting proppant from smaller to larger particles(S:M:L)and a low velocity effectively ensured fracture conductivity near the wellbore at joint roughness coefficient(JRC)≥46 while achieving satis-factory placement in the branch fracture,making it a recommended approach.展开更多
Laser-directed energy deposition(L-DED)is an advanced additive manufacturing technology primarily adopted in metal three-dimensional printing systems.The L-DED process is characterized by various defects,thus necessit...Laser-directed energy deposition(L-DED)is an advanced additive manufacturing technology primarily adopted in metal three-dimensional printing systems.The L-DED process is characterized by various defects,thus necessitating the extensive use of in-situ monitoring to enable real-time adjustments of process parameters by detecting molten-pool features.To address the challenge of accurately extracting the molten-pool morphology from an undetached spatter,an innovative monitoring method based on the U-Net(U-shaped network)is proposed herein.A lightweight architecture accelerates the processing speed,whereas an enhanced loss function incorporating weight maps augments the segmentation precision.The model performance is evaluated by comparing its segmentation accuracy and processing speed with those of the conventional U-Net,using the mean intersection over union(MIoU)as the segmentation metric.The improved model demonstrates superior segmentation accuracy at the interface between the molten pool and spatter,with a peak MIoU of 0.9798 achieved on the test set.Furthermore,this model processes each image in an extremely short time of 17.9 ms.Using this segmentation algorithm,the error in extracting the molten-pool width from single-track experiments is within 0.1 mm.The proposed method for monitoring the molten-pool morphology is suitable for deployment in online monitoring systems,thus providing a foundation for subsequent process-parameter regulation.展开更多
In this paper, the problem of cubature Kalman fusion filtering(CKFF) is addressed for multi-sensor systems under amplify-and-forward(AaF) relays. For the purpose of facilitating data transmission, AaF relays are utili...In this paper, the problem of cubature Kalman fusion filtering(CKFF) is addressed for multi-sensor systems under amplify-and-forward(AaF) relays. For the purpose of facilitating data transmission, AaF relays are utilized to regulate signal communication between sensors and filters. Here, the randomly varying channel parameters are represented by a set of stochastic variables whose occurring probabilities are permitted to exhibit bounded uncertainty. Employing the spherical-radial cubature principle, a local filter under AaF relays is initially constructed. This construction ensures and minimizes an upper bound of the filtering error covariance by designing an appropriate filter gain. Subsequently, the local filters are fused through the application of the covariance intersection fusion rule. Furthermore, the uniform boundedness of the filtering error covariance's upper bound is investigated through establishing certain sufficient conditions. The effectiveness of the proposed CKFF scheme is ultimately validated via a simulation experiment concentrating on a three-phase induction machine.展开更多
摘要Based on previous research results, this paper investigated the influence of fracture morphology on mechanical properties and failure modes of rock mass with two diagonal intersected fractures. This study carried out a series of triaxial compression tests on rock-like specimens with two crossed fractures under negative temperature, concluded the following conclusions. The strength and failure modes of rock mass are significantly influenced by the dips of two crossed fractures. The strength of rock mass with two frac- tures cannot simply be estimated using the method that was developed for the rock mass with a single fracture. When the intersecting angle is less than 30~, the failure plane initiates at the tip of "artificial rup- tures" and extends to the upper and lower ends of the specimen. In case of a higher dip and intersecting angle ranging from 30° to 60°, the failure plane propagates along one of these two fractures. The mechan- lca! parameters of rock mass are not only related to the trace length, but also depend on the trace !ength ratio. One could roughly calculate the strength parameters using the approximation proposed in.this paper..For the rock mass with a trace length ratio 〈0.3 (short trace length/long trace length), the failure mode is dependent on the fracture with a longer trace length. When the trace length becomes significant and the trace length ratio approximates to 1, the failure plane propagates along two fractures, where an X-shaped.failure pattern is presented: For the rock mass with moderate frac!ures and a trace length ratio of approxlmately 1, the failure mode Is.Independent on fractures, which is simllar to .the damage pattern of intact rock. The strength, and elastic .modulus of rock mass decrease with the increase of spacing between fractures, whl!e Polsson's ratio is Independent on the spacing. The failure mode can be deter- mined by the area. of triangle created by two fractures. Damage occurs at the smaller triangle area first, and propagates with the two sides of the larger triangle.
基金by the Joint Funds of National Natural Science Foundation of China[Grant No.U1706223]the National Key Research and Development Project(Grant No.2016YFC0801600)+1 种基金the General Program of National Natural Science Foundation[Grant No.51779133]the General Program of Shandong Province Natural Science Foundation[Grant No.ZR2018MEE047].
摘要To study the penetration mechanism of cement-based slurry in intersected fractures during grouting and the related pressure distribution,we have used two different variants of cement,namely,basic cement slurry and fast-setting cement slurry.The influence of a retarder,time-varying viscosity,fracture width and location of injection hole is also considered.A finite element software is used to implement two and three-dimensional numerical models for grouting of intersected fractures in hydrostatic conditions.Results show that there are significant differences in the diffusion morphology and pressure distribution depending on the considered cement slurry.Retarder can effectively slow down the rising rate of injection pressure and extend the diffusion distance of grout.The influence of the branch fracture is more important when basic cement slurry is considered,indicating that the change of grout pressure is correlated with the slurry viscosity.The faster the viscosity increases,the less evident is the effect.
基金financially supported by the National Key R&D Program of China(Grant No.2019YFB1504103)the China Postdoctoral Science Foundation(Grant Nos.2019TQ0174)。
摘要Numerous intersected rock fractures constitute the fracture network in enhanced geothermal systems.The complicated convective heat transfer behavior in intersected fractures is critical to the heat recovery in fractured geothermal reservoirs.A series of three-dimensional intersected fracture models is constructed to perform the flow-through heat transfer simulations.The geometry effects of dead-end fractures(DEFs)on the heat transfer are evaluated in terms of intersected angles,apertures,lengths,and the connectivity.The results indicate that annular streamlines appear in the rough DEF and cause an ellipse distribution of the cold front.Compared to plate DEFs,the fluid flow in the rough DEF enhances the heat transfer.Both the increment of outlet water temperatureΔToutand the ratio of heat production Qrpresent the largest at the intersected angle of 90°while decline with the decrease of the intersected angle between the main flow fracture(MFF)and the DEFs.The extension of the length of intersected DEFs is beneficial to heat production while enhancing its aperture is not needed.Solely increasing the number of intersected DEFs induces a little increase of heat extraction,and more significant heat production can be obtained through connecting these DEFs with the MFF forming the flow network.
摘要In order to verify the flow interference at the fracture intersections, a group of hydraulic simulations of crossing flow was carried out. The manifold interference effects at the intersection of fractures on water flow has been confirmed extensively either in the normal or in the oblique intersected tubes as well as in the intersected tubes of either equal or variant diameters. Consequently, suggest that the fissure network can no longer be taken as a set of solitary fractures, but as a set of elementary intersected fractures. The deflection effect at fracture intersections on the water flow should be taken into consideration when is dealt with any theory related to the water migration in fractures.
基金supported by the National Natural Science Foundation of China(No.52422506).
摘要Three-way control combiner valves(TCCVs)are critical components used in nuclear power plants to regulate the concentration of boron acid for neutron absorption and reactor safety.However,current TCCV designs often suffer from suboptimal control performance and high flow resistance,leading to control deviations and reduced operational efficiency.In this paper,a numerical model based on the standard K–ωturbulence model is established and validated against experimental data to analyze the flow characteristics and local flow resistance of a TCCV.A parametric design method for the throttling windows is proposed,establishing relationships between shape parameters and performance indexes,including control performance and flow resistance.The adaptive non-dominated sorting genetic algorithm(ANSGA-II)is used to optimize the shape parameters of the throttling windows.The optimization results show an improvement in the performance indexes of the TCCV,with the adjustable operating range increasing by 31.0%and the maximum local resistance decreasing by 18.3%.We also introduce the concepts of effective and controllable domains to characterize the inlet backflow phenomena and regulation dead zones,which are crucial for ensuring the reliability and effectiveness of control valves.These findings provide insights for enhancing the design and performance of TCCVs in nuclear power plants.
基金supported by the Japan Society for the Promotion of Science(JSPS)Grants-in-Aid for Scientific Research(C)23K03898.
摘要Traffic at urban intersections frequently encounters unexpected obstructions,resulting in congestion due to uncooperative and priority-based driving behavior.This paper presents an optimal right-turn coordination system for Connected and Automated Vehicles(CAVs)at single-lane intersections,particularly in the context of left-hand side driving on roads.The goal is to facilitate smooth right turns for certain vehicles without creating bottlenecks.We consider that all approaching vehicles share relevant information through vehicular communications.The Intersection Coordination Unit(ICU)processes this information and communicates the optimal crossing or turning times to the vehicles.The primary objective of this coordination is to minimize overall traffic delays,which also helps improve the fuel consumption of vehicles.By considering information from upcoming vehicles at the intersection,the coordination system solves an optimization problem to determine the best timing for executing right turns,ultimately minimizing the total delay for all vehicles.The proposed coordination system is evaluated at a typical urban intersection,and its performance is compared to traditional traffic systems.Numerical simulation results indicate that the proposed coordination system significantly enhances the average traffic speed and fuel consumption compared to the traditional traffic system in various scenarios.
基金The National Key Research and Development Program of China(No.2022YFB4300304).
摘要To address the challenge of distinguishing subjective aggressive driving(initiated by drivers)from hazardous behaviors caused by external cyberattacks,this study proposes an innovative intent recognition framework named Intent-Decipher.By integrating the information credibility outputted by an intrusion detection system(IDS)into a security-aware inverse reinforcement learning(SA-IRL)model,the framework infers the reward function behind vehicle behaviors and classifies three key driving intents:normal,aggressive,and malicious.Experiments were conducted on a semi-synthetic dataset containing 20000 trajectories.Results show that Intent-Decipher significantly outperforms baseline methods in classification accuracy,achieving a macro-average F1-score of 0.94.Notably,Intent-Decipher excels at differentiating subjective aggressive driving from attack-induced behaviors:its F1-score for identifying malicious attack-induced(MAI)intent reaches 0.90,an absolute improvement of 0.16 compared with the standard inverse reinforcement learning(IRL)model(which lacks security awareness and only achieves an F1-score of 0.74).
基金supported by the National Natural Science Foundation of China(Nos.52172348 and 52372338)the Research Project of Shanghai Science and Technology Commission(No.21XD1424100)the Belt and Road Cooperation Program under the 2023 Shanghai Action Plan for Science,Technology and Innovation(No.23210750500).
摘要Electrification has become a major trend in the automotive industry.Compared with traditional fuel-powered vehicles,electric vehicles(EVs)exhibit stronger acceleration performance,which may impact traffic safety risks.The pronounced acceleration capability of EVs is particularly evident at low speeds,with signalized intersections—key components of road networks—facing complex traffic flows and heightened safety risks.Therefore,investigating the impact of EVs’strong acceleration on traffic safety risks at signalized intersections is crucial for ensuring urban traffic safety.This study utilizes unmanned aerial vehicles(UAVs)and roadside cameras to construct a detailed trajectory dataset,including license plate types and vehicle dimensions.Based on time to collision(TTC)as a fundamental metric and incorporating the risk management quadrant principle,a two-dimensional integrated safety surrogate indicator is proposed,accounting for both collision probability and severity.The study also achieves automated extraction of safety surrogate indicators from trajectory data,quantifying the impact of EVs on traffic safety risks at signalized intersections.Case studies in urban and suburban areas provide a comparative analysis of driving behaviors and interactive safety risks between EVs and fuel-powered vehicles.At a 90%confidence level,the frequency of events where EVs have a higher likelihood of collisions but lower severity is 0.87%higher than that of fuel-powered vehicles,indicating that EVs are more likely to experience low-severity collisions.
基金Natural Science Foundation of China(42304128 and 42074150)the National Key Research and Development Program of China(2023YFC2906704-5 and 2023YFC370790)+1 种基金the Mount Tai Industry Leading Talent Project Special Fund Support(tscx202312018)the Jinan Science and Technology Innovation Development Plan(Social Livelihood Special Project)(202131001)。
摘要Fast beam migration(FBM),characterized by its super-high efficiency in velocity model building,consists of three main steps:beam forming,beam propagation,and image forming.The super-high efficiency is achieved by beam forming,as it needs only to be performed once for one dataset and is independent of velocity,and the other two steps take relatively little time.However,compared to the beam-propagation and image-forming steps,the beam-forming step is still quite time-consuming owing to the high-dimensional computing problem of estimating the source and receiver slope orientation of a beam.Furthermore,previous methods for estimating the source and receiver slope orientation of a beam struggled to deal with intersecting events,leading to poor imaging results for complex subsurface structures,such as unconformities or faults,where events often intersect.We propose the use of a three-step multimodal optimization method based on the neighborhood crowding differential evolution(NCDE)algorithm to estimate the source and receiver slope orientation of a beam during the beam-forming step,which can quickly and accurately obtain slope orientations when events intersect.We first test the three-step multimodal optimization algorithm on a 3D super-gather and provide the parameter criteria.We then apply the FBM based on the three-step multimodal optimization algorithm to the Marmousi 2 and 3D SEG/EAGE salt models.Both results demonstrate that the proposed method can image intersecting events well and that the imaging quality of complex zones is improved.We also apply the proposed method to a 2D offshore seismic dataset containing abundant intersecting events,which validates the practicality of the proposed method.
基金support fromFundamental Research Funds of theNational Natural Science Foundation of China(NSFC)[Grant Number 51476073]Gansu Province Natural Science Foundation(21JR7RA304,24JRRA245)Gansu Province Higher Education Industry Support Plan Project(2023CYZC-38).
摘要Subway operations generate substantial heat,and inadequate dissipation can progressively degrade tunnel thermal conditions.The thermal distribution within the surrounding rock is critical for calculating the load on subway environmental control systems.However,the heat transfer patterns in the surrounding rock for intersecting tunnels remain poorly understood.Therefore,this study employs COMSOL software to numerically analyze the impact of intersecting line layouts on the temperature field distribution within the surrounding rock.Results indicate that when tunnels intersect,heat accumulates in the surrounding rock near the intersection.Compared to the single-tunnel structure,intersecting tunnels exhibit higher peak temperature when reaching dynamic thermal equilibrium,and the time required to achieve equilibrium is longer.Reducing the vertical spacing between intersecting tunnels concentrates heat within the intersection zone,leading to elevated temperature in that area.However,when the vertical spacing exceeds 12 m,the numerical value no longer exhibits significant variation with vertical spacing.The intersection angle also influences the temperature distribution characteristic and numerical value.The smaller intersection angle causes heat to concentrate within the crossing zone,leading to an overall increase in surrounding rock temperature within that area.Additionally,the rate of temperature increase in the rock mass at the intersection zone and the magnitude of temperature at dynamic equilibrium are significantly influenced by geographical factors.The lower the ambient temperature in the climate zone where the intersecting subway tunnels are located,the faster the temperature rise rate at the intersection zone.When heat transfer in the rock mass reaches dynamic equilibrium,the temperature difference at the same monitoring point can reach approximately 10℃ between severely cold and temperate regions.
基金supported by the National Natural Sci-ence Foundation of China(Nos.22473090 and 92356310).
摘要PyQED is an open-source Python package designed for the numerical simulation of strongly coupled elec-tron-nuclear quantum dynamics,in particular,conical intersection dy-namics.Besides conventional nona-diabatic wavepacket dynamics methods based on the Born-Huang representation and mixed quantum-classical Ehrenfest dynamics,PyQED implements the geometric quantum dynamics based on the local diabatic representation,which provides a numerically exact framework for nonadiabatic quantum molecular dynamics.It differs from the conven-tional Born-Huang representation in that all non-Born-Oppenheimer effects are accounted for by a single electronic overlap matrix between adiabatic states,therefore removing the sin-gular derivative couplings.The complete workflow for ab initio modeling of conical intersec-tion dynamics is illustrated through the internal conversion dynamics in the H3+cation.PyQED provides a powerful and user-friendly computational platform for first-principles quantum dynamics,with applications to photochemical and photophysical processes.
基金National Science and Technology Council,Taiwan,for financially supporting this research(grant No.NSTC 114-2221-E-018-003)the Ministry of Education’s Teaching Practice Research Program,Taiwan(PSK1142780).
摘要Urban intersections contain severe blind zones where buildings and roadside obstacles block lineof-sight sensing,limiting the ability of autonomous vehicles to anticipate hidden hazards.This paper presents an urban-intersection-oriented non-line-of-sight(NLOS)perception framework that exploits specular reflections from building surfaces using 77 GHz frequency-modulated continuous-wave(FMCW)automotive radar.All evaluations are conducted in a MATLAB-based simulation environment that models intersection geometry,building-induced occlusions,and specular reflection-assisted propagation,and generates 77-GHz FMCW radar echoes under controllable interference;real-world validation with measured radar data and richer multipath/material modeling is planned as future work.To improve robustness under noisy intersection interference,we propose a deep-learning-based mitigation module that restores corrupted radar echoes at the chirp level using a compact AlexNet-derived 1D regression backbone,with minimal architectural changes that insert a residual block after conv2 and apply batch normalization to enhance training stability and suppress interference while preserving informative echo characteristics.The restored echoes are then processed by conventional estimation steps to obtain range and azimuth-related angles.Under severe interference(Noise Factor=3.0),unmitigated measurements exhibit large errors(root-mean-square error(RMSE)=5.48 m/18.95°/10.77°for range/angle/azimuth deviation).Conventional AlexNet-based mitigation reduces these errors to 0.75 m/0.83°/0.93°,while the proposed improved AlexNet further reduces them to 0.56 m/0.46°/0.73°.The results demonstrate improved signal stability and measurement accuracy,supporting the potential practicality of low-cost NLOS perception in simulation for safety-critical autonomous driving at occluded urban intersections,subject to future real-world validation.
摘要The Go board is rectangular in shape,featuring a pit at each end designed for storing playing pieces.The board comprises a 17×17 grid,forming 289 intersection points where pieces are placed.The two sets of pieces are distinguished by color—black and white—each meticulously polished and uniformly sized,comparable in quality and appearance to those used by modern Go players.
摘要主题:交通与科技篇幅:338词建议用时:7分钟“1 For your safety,please ride bicycles in the non-motorized lane,”a voice called out to a cyclist veering into the motor vehicle lane at a busy intersection in Wuhu City,Anhui Province.The warning,however,came not from a human traffic officer,but from a humanoid robot standing upright on a safety island.
摘要This paper aims to enhance highway traffic efficiency by integrating a project focused on signal timing optimization at highway intersections.Supported by intelligent technologies,a reasonable optimization system is constructed.Practical application demonstrates that the signal timing optimization at highway intersections under this system yields significant results,substantially improving traffic efficiency.This provides a reference for subsequent signal timing optimization at highway intersections,aligning with the development needs of the intelligent transportation context.
基金Project(52204164)supported by the National Natural Science Foundation of ChinaProject(2021QNRC001)supported by the Young Elite Scientists Sponsorship Program by CAST,China。
摘要The intersection is a widely used traffic line structure from the shallow tunnel to the deep roadway,and determining the subsidence hidden danger area of the roof is the key to its stability control.However,applying traditional maximum equivalent span beam(MESB)theory to determine deformation range,peak point,and angle influence poses a challenge.Considering the overall structure of the intersection roof,the maximum equivalent triangular plate(METP)theory is proposed,and its geometric parameter calculation formula and deflection calculation formula are obtained.The application of the two theories in 18 models with different intersection angles,roadway types,and surrounding rock lithology is verified by numerical analysis.The results show that:1)The METP structure of the intersection roof established by the simulation results of each model successfully determined the location of the roof’s high displacement zone;2)The area comparison method of the METP theory can be reasonably explained:①The roof subsidence of the intersection decreases with the increase of the intersection angle;②The roof subsidence at the intersection of different roadway types has a rectangular type>arch type>circular type;③The roof subsidence of the intersection with weak surrounding rock is significantly larger than that of the intersection with hard surrounding rock.According to the application results of the two theories,the four advantages of the METP theory are compared and clarified in the basic assumptions,mechanical models,main viewpoints,and mechanism analysis.The large deformation inducement of the intersection roof is then explored.The J 2 peak area of the roof drives the large deformation of the area,the peak point of which is consistent with the center of gravity position of the METP.Furthermore,the change in the range of this peak is consistent with the change law of the METP’s area.Hence,this theory clarifies the large deformation area of the intersection roof,which provides a clear guiding basis for its initial support design,mid-term monitoring,and late local reinforcement.
摘要To accurately analyze proppant transport in rough intersecting fractures and elucidate the interaction mechanisms among liquid,particles,and rough walls,this study reconstructed a numerical model of fractures in inhomogeneous reservoirs with varying brittleness index(BI).Various auto-correlation Gaussian rough fracture models were created using Matlab to assess roughness through the fractal dimension method.This research innovatively combined Boolean operations to establish three-dimensional rough fracture models,incorporating(Computational Fluid Dynamics)CFD-DEM(Discrete Element Method)with a bidirectional method for cosimulation.The proppant transport in fractures was categorized into three zones based on the difference in the turbulent kinetic energy.Artificially induced fracture roughness increases fluid retention and turbulence,causing plugging effects and limiting proppant flow into branch fractures.Additionally,compared with the superior deposition and significant support effects of the spherical proppant,the low-sphericity proppant traveled farther under fracturing fluid,inducing more pronounced plugging near curved fracture intersections;the variation in fracture intersection angles primarily impacted the wall shear stress within the flow field,indicating smaller angles led to higher shear energy at the intersection.Compared with the intersection angle of 30°,the height and area deposited in the 90 branch fracture increased by 52.25%and 65.33%,respectively:notably,injecting proppant from smaller to larger particles(S:M:L)and a low velocity effectively ensured fracture conductivity near the wellbore at joint roughness coefficient(JRC)≥46 while achieving satis-factory placement in the branch fracture,making it a recommended approach.
基金supported by National Natural Science Foundation of China(Grant Nos.52305440,52204263)Natural Science Foundation of Changsha City(Grant Nos.kq2208272,kq2208274)+1 种基金Tribology Science Fund of the State Key Laboratory of Tribology in Advanced Equipment(Grant SKLTKF22B09)National Key Research and Development Program of China(2022YFB3706902).
摘要Laser-directed energy deposition(L-DED)is an advanced additive manufacturing technology primarily adopted in metal three-dimensional printing systems.The L-DED process is characterized by various defects,thus necessitating the extensive use of in-situ monitoring to enable real-time adjustments of process parameters by detecting molten-pool features.To address the challenge of accurately extracting the molten-pool morphology from an undetached spatter,an innovative monitoring method based on the U-Net(U-shaped network)is proposed herein.A lightweight architecture accelerates the processing speed,whereas an enhanced loss function incorporating weight maps augments the segmentation precision.The model performance is evaluated by comparing its segmentation accuracy and processing speed with those of the conventional U-Net,using the mean intersection over union(MIoU)as the segmentation metric.The improved model demonstrates superior segmentation accuracy at the interface between the molten pool and spatter,with a peak MIoU of 0.9798 achieved on the test set.Furthermore,this model processes each image in an extremely short time of 17.9 ms.Using this segmentation algorithm,the error in extracting the molten-pool width from single-track experiments is within 0.1 mm.The proposed method for monitoring the molten-pool morphology is suitable for deployment in online monitoring systems,thus providing a foundation for subsequent process-parameter regulation.
基金supported in part by the National Natural Science Foundation of China(12171124,61933007)the Natural Science Foundation of Heilongjiang Province of China(ZD2022F003)+2 种基金the National High-End Foreign Experts Recruitment Plan of China(G2023012004L)the Royal Society of UKthe Alexander von Humboldt Foundation of Germany
摘要In this paper, the problem of cubature Kalman fusion filtering(CKFF) is addressed for multi-sensor systems under amplify-and-forward(AaF) relays. For the purpose of facilitating data transmission, AaF relays are utilized to regulate signal communication between sensors and filters. Here, the randomly varying channel parameters are represented by a set of stochastic variables whose occurring probabilities are permitted to exhibit bounded uncertainty. Employing the spherical-radial cubature principle, a local filter under AaF relays is initially constructed. This construction ensures and minimizes an upper bound of the filtering error covariance by designing an appropriate filter gain. Subsequently, the local filters are fused through the application of the covariance intersection fusion rule. Furthermore, the uniform boundedness of the filtering error covariance's upper bound is investigated through establishing certain sufficient conditions. The effectiveness of the proposed CKFF scheme is ultimately validated via a simulation experiment concentrating on a three-phase induction machine.