Debris flows are one of the common natural hazards in mountainous areas.They often cause devastating damage to the lives and property of local people.The sabo dam construction along a debris flow valley is considered ...Debris flows are one of the common natural hazards in mountainous areas.They often cause devastating damage to the lives and property of local people.The sabo dam construction along a debris flow valley is considered to be a useful method for hazard mitigation.Previous work has concentrated on the different types of sabo dams such as close-type sabo dam,open-type sabo dam.However,little attention has been paid to the spillway structure of sabo dam.In the paper,a new type of spillway structure with lateral contraction was proposed.Debris flow patterns under four different spillway structures were investigated.The projection theory was employed to predict trajectory of debris flow out from the spillway and to estimate the incident angle and terminal velocity before it plunged into the scour hole behind the sabo dam.The results indicated that the estimated data were in good agreement with the experimental ones.The discrepancy between the estimated and experimental values of main parameters remained below 21.82%(relative error).Additionally,the effects of debris flow scales under different spillway structures were considered to study the scour law.Although the debris flow pattern and scour law behind the sabo dam under different operating conditions was analyzed in this paper,further study on the scour mechanism andthe maximum scour depth estimation based on scour theory is still required in the future.展开更多
Deep storage tunnels(DSTs)are used in densely urbanized areas to relieve stormwater collection systems,thereby reducing urban floods and runoff pollution,due to their substantial storage capacity.The computation of th...Deep storage tunnels(DSTs)are used in densely urbanized areas to relieve stormwater collection systems,thereby reducing urban floods and runoff pollution,due to their substantial storage capacity.The computation of the hydraulic characteristics and flow trajectories of DSTs under rapid filling scenarios can help to predict sediment deposition and pollutant accumulation associated with the stored runoff,as well as the likelihood of operational problems,such as excessive surging.However,such assessments are complicated by various inflow scenarios encountered in tunnel systems during their operation.In this study,the Suzhou River DST in China is selected as a study case.Particles were tracked,and hydraulic analysis was conducted with scaled model experiments and numerical models.The flow field,particle movement,air‒water phase,and pressure patterns in the DST were simulated under various one-and two-sided inflow scenarios.The results showed that with regards to the design conditions involving two-sided inflows,flow reversals occurred with stepwise increases in the water surface and pressure.In contrast,this phenomenon was not observed under the one-sided inflow scenario.Under the asymmetric two-sided inflow scenarios,water inflows led to particle accumulation near the shaft,reducing the received inflows.However,under the symmetric inflow conditions,particles were concentrated near the middle of the tunnel.Compared to those under the symmetric inflow scenario,asymmetric inflow caused surface wave and entrapped air reductions.This study could provide support for regulation of the inflow of the Suzhou River DST and for prediction of sediment and pollutant accumulation.展开更多
In this work,by establishing a three-dimensional physical model of a 1000-ton industrial multi-jet combustion reactor,a hexahedral structured grid was used to discretize the model.Combined with realizable k–εmodel,e...In this work,by establishing a three-dimensional physical model of a 1000-ton industrial multi-jet combustion reactor,a hexahedral structured grid was used to discretize the model.Combined with realizable k–εmodel,eddy-dissipation-concept,discrete-ordinate radiation model,hydrogen 19-step detailed reaction mechanism,air age user-defined-function,velocity field,temperature field,concentration field and gas arrival time in the reactor were numerically simulated.The Euler–Lagrange method combined with the discrete-phase-model was used to reveal the flow characteristics of particles in the reactor,and based on this,the effects of the reactor aspect ratios,central jet gas velocity and particle size on the flow field characteristics and particle back-mixing degree in the reactor were investigated.The results show that with the decrease of aspect ratio in the combustion reactors,the velocity and temperature attenuation in the reactor are intensified,the vortex phenomenon is aggravated,and the residence time distribution of nanoparticles is more dispersed.With the increase in the central jet gas velocities in reactors,the vortex lengthens along the axis,the turbulence intensity increases,and the residence time of particles decreases.The back-mixing degree and residence time of particles in the reactor also decrease with the increase in particle size.The simulation results can provide reference for the structural regulation of nanoparticles and the structural design of combustion reactor in the process of gas combustion synthesis.展开更多
Under the demand of strategic air traffic flow management and the concept of trajectory based operations（TBO）,the network-wide 4D flight trajectories planning（N4DFTP） problem has been investigated with the purpose...Under the demand of strategic air traffic flow management and the concept of trajectory based operations（TBO）,the network-wide 4D flight trajectories planning（N4DFTP） problem has been investigated with the purpose of safely and efficiently allocating 4D trajectories（4DTs）（3D position and time） for all the flights in the whole airway network.Considering that the introduction of large-scale 4DTs inevitably increases the problem complexity,an efficient model for strategiclevel conflict management is developed in this paper.Specifically,a bi-objective N4 DFTP problem that aims to minimize both potential conflicts and the trajectory cost is formulated.In consideration of the large-scale,high-complexity,and multi-objective characteristics of the N4DFTP problem,a multi-objective multi-memetic algorithm（MOMMA） that incorporates an evolutionary global search framework together with three problem-specific local search operators is implemented.It is capable of rapidly and effectively allocating 4DTs via rerouting,target time controlling,and flight level changing.Additionally,to balance the ability of exploitation and exploration of the algorithm,a special hybridization scheme is adopted for the integration of local and global search.Empirical studies using real air traffic data in China with different network complexities show that the proposed MOMMA is effective to solve the N4 DFTP problem.The solutions achieved are competitive for elaborate decision support under a TBO environment.展开更多
基金supported by the National Natural Science Foundation of China (Grant No.51209195)Foundation of Key Laboratory of Mountain Hazards and Earth Surface Process,Chinese Academy of Sciences,Science and Technology Service Network Initiative of Chinese Academy of Sciences (Grant No.KFJ-EW-STS-094)the Youth Foundation of the Institute of Mountain Hazards and Environment,CAS (Grant No.SDS-QN-1302)
文摘Debris flows are one of the common natural hazards in mountainous areas.They often cause devastating damage to the lives and property of local people.The sabo dam construction along a debris flow valley is considered to be a useful method for hazard mitigation.Previous work has concentrated on the different types of sabo dams such as close-type sabo dam,open-type sabo dam.However,little attention has been paid to the spillway structure of sabo dam.In the paper,a new type of spillway structure with lateral contraction was proposed.Debris flow patterns under four different spillway structures were investigated.The projection theory was employed to predict trajectory of debris flow out from the spillway and to estimate the incident angle and terminal velocity before it plunged into the scour hole behind the sabo dam.The results indicated that the estimated data were in good agreement with the experimental ones.The discrepancy between the estimated and experimental values of main parameters remained below 21.82%(relative error).Additionally,the effects of debris flow scales under different spillway structures were considered to study the scour law.Although the debris flow pattern and scour law behind the sabo dam under different operating conditions was analyzed in this paper,further study on the scour mechanism andthe maximum scour depth estimation based on scour theory is still required in the future.
基金supported by the National Natural Science Foundation of Jiangsu Province(Grant No.BK20230099)the National Natural Science Foundation of China(Grants No.52379061 and 52179062)the Key Laboratory of Water Grid Project and Regulation of Ministry of Water Resources(Grant No.QTKS0034W23292).
文摘Deep storage tunnels(DSTs)are used in densely urbanized areas to relieve stormwater collection systems,thereby reducing urban floods and runoff pollution,due to their substantial storage capacity.The computation of the hydraulic characteristics and flow trajectories of DSTs under rapid filling scenarios can help to predict sediment deposition and pollutant accumulation associated with the stored runoff,as well as the likelihood of operational problems,such as excessive surging.However,such assessments are complicated by various inflow scenarios encountered in tunnel systems during their operation.In this study,the Suzhou River DST in China is selected as a study case.Particles were tracked,and hydraulic analysis was conducted with scaled model experiments and numerical models.The flow field,particle movement,air‒water phase,and pressure patterns in the DST were simulated under various one-and two-sided inflow scenarios.The results showed that with regards to the design conditions involving two-sided inflows,flow reversals occurred with stepwise increases in the water surface and pressure.In contrast,this phenomenon was not observed under the one-sided inflow scenario.Under the asymmetric two-sided inflow scenarios,water inflows led to particle accumulation near the shaft,reducing the received inflows.However,under the symmetric inflow conditions,particles were concentrated near the middle of the tunnel.Compared to those under the symmetric inflow scenario,asymmetric inflow caused surface wave and entrapped air reductions.This study could provide support for regulation of the inflow of the Suzhou River DST and for prediction of sediment and pollutant accumulation.
基金supported by the National Natural Science Foundation of China(21978088,91534202,51673063)Shanghai Technology Research Leader(20XD1433600)+4 种基金the Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutes of High Learningthe Basic Research Program of Shanghai(17JC1402300)the Shanghai City Board of education research and innovation projectthe Fundamental Research Funds for the Central Universities(222201718002)provided by Feringa Nobel Prize Scientist Joint Research Center。
文摘In this work,by establishing a three-dimensional physical model of a 1000-ton industrial multi-jet combustion reactor,a hexahedral structured grid was used to discretize the model.Combined with realizable k–εmodel,eddy-dissipation-concept,discrete-ordinate radiation model,hydrogen 19-step detailed reaction mechanism,air age user-defined-function,velocity field,temperature field,concentration field and gas arrival time in the reactor were numerically simulated.The Euler–Lagrange method combined with the discrete-phase-model was used to reveal the flow characteristics of particles in the reactor,and based on this,the effects of the reactor aspect ratios,central jet gas velocity and particle size on the flow field characteristics and particle back-mixing degree in the reactor were investigated.The results show that with the decrease of aspect ratio in the combustion reactors,the velocity and temperature attenuation in the reactor are intensified,the vortex phenomenon is aggravated,and the residence time distribution of nanoparticles is more dispersed.With the increase in the central jet gas velocities in reactors,the vortex lengthens along the axis,the turbulence intensity increases,and the residence time of particles decreases.The back-mixing degree and residence time of particles in the reactor also decrease with the increase in particle size.The simulation results can provide reference for the structural regulation of nanoparticles and the structural design of combustion reactor in the process of gas combustion synthesis.
基金co-supported by the National Science Foundation for Young Scientists of China(No.61401011)the National Key Technologies R&D Program of China(No.2015BAG15B01)the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.61521091)
文摘Under the demand of strategic air traffic flow management and the concept of trajectory based operations（TBO）,the network-wide 4D flight trajectories planning（N4DFTP） problem has been investigated with the purpose of safely and efficiently allocating 4D trajectories（4DTs）（3D position and time） for all the flights in the whole airway network.Considering that the introduction of large-scale 4DTs inevitably increases the problem complexity,an efficient model for strategiclevel conflict management is developed in this paper.Specifically,a bi-objective N4 DFTP problem that aims to minimize both potential conflicts and the trajectory cost is formulated.In consideration of the large-scale,high-complexity,and multi-objective characteristics of the N4DFTP problem,a multi-objective multi-memetic algorithm（MOMMA） that incorporates an evolutionary global search framework together with three problem-specific local search operators is implemented.It is capable of rapidly and effectively allocating 4DTs via rerouting,target time controlling,and flight level changing.Additionally,to balance the ability of exploitation and exploration of the algorithm,a special hybridization scheme is adopted for the integration of local and global search.Empirical studies using real air traffic data in China with different network complexities show that the proposed MOMMA is effective to solve the N4 DFTP problem.The solutions achieved are competitive for elaborate decision support under a TBO environment.
