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A Novel Approach for the Numerical Simulation of Fluid-Structure Interaction Problems in the Presence of Debris 被引量:3
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作者 Miaomiao Ren xiaobin shu 《Fluid Dynamics & Materials Processing》 EI 2020年第5期979-991,共13页
A novel algorithm is proposed for the simulation of fluid-structure interaction problems.In particular,much attention is paid to natural phenomena such as debris flow.The fluid part(debris flow fluid)is simulated in t... A novel algorithm is proposed for the simulation of fluid-structure interaction problems.In particular,much attention is paid to natural phenomena such as debris flow.The fluid part(debris flow fluid)is simulated in the framework of the smoothed particle hydrodynamics(SPH)approach,while the solid part(downstream obstacles)is treated using the finite element method(FEM).Fluid-structure coupling is implemented through dynamic boundary conditions.In particular,the software“TensorFlow”and an algorithm based on Python are combined to conduct the required calculations.The simulation results show that the dynamics of viscous and non-viscous debris flows can be extremely different when there are obstacles in the downstream direction.The implemented SPH-FEM coupling method can simulate the fluid-structure coupling problem with a reasonable approximation. 展开更多
关键词 Fluid-structure coupling SPH FEM TensorFlow PYTHON dynamic boundary conditions
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On the Design and Optimization of a Clean and Efficient Combustion Mode for Internal Combustion Engines through a Computer NSGA-Ⅱ Algorithm
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作者 xiaobin shu Miaomiao Ren 《Fluid Dynamics & Materials Processing》 EI 2020年第5期1019-1029,共11页
In order to address typical problems due to the huge demand of oil for consumption in traditional internal combustion engines,a new more efficient combustion mode is proposed and studied in the framework of Computatio... In order to address typical problems due to the huge demand of oil for consumption in traditional internal combustion engines,a new more efficient combustion mode is proposed and studied in the framework of Computational Fluid Dynamics(CFD).Moreover,a Non-dominated Sorting Genetic Algorithm(NSGA-Ⅱ)is applied to optimize the related parameters,namely,the engine methanol ratio,the fuel injection time,the initial temperature,the Exhaust Gas Re-Circulation(EGR)rate,and the initial pressure.The so-called Conventional Diesel Combustion(CDC),Homogeneous Charge Compression Ignition(HCCI)and the Reactivity Controlled Compression Ignition(RCCI)combustion modes are compared.The results show that RCCI has a higher methanol ratio and an earlier injection timing with moderate EGR rate and higher initial pressure.The initial temperature increases as the methanol ratio increases.In comparison,CDC has the lowest hydrocarbon and CO emissions and the highest combustion efficiency.At different crankshaft rotation angles corresponding to 50%of the combustion amount(CA50),the combustion temperature and boundary layer temperature of HCCI change significantly,while those of RCCI undergo limited variations.At the same CA50,the exergy losses of HCCI and RCCI are lower than that of the CDC.On the basis of these findings,it can be concluded that the methanol/diesel RCCI engine can be used to obtain a clean and efficient combustion process,which should be regarded as a promising combustion mode. 展开更多
关键词 Computer-optimized NSGA-Ⅱalgorithm novel clean and efficient combustion mode THERMODYNAMICS combustion engine METHANOL
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