A relatively high aerodynamic drag is an important factor that hinders the further acceleration of high-speed trains.Using the shear stress transport(SST)k-ωturbulence model,the effect of various vortex generator typ...A relatively high aerodynamic drag is an important factor that hinders the further acceleration of high-speed trains.Using the shear stress transport(SST)k-ωturbulence model,the effect of various vortex generator types on the aerodynamic characteristics of an ICE2(Inter-city Electricity)train has been investigated.The results indi-cate that the vortex generators with wider triangle,trapezoid,and micro-ramp arranged on the surface of the tail car can significantly change the distribution of surface pressure and affect the vorticity intensity in the wake.This alteration effectively reduces the resistance of the tail car.Meanwhile,the micro-ramp vortex generator with its convergent structure at the rear exhibits enhancedflow-guiding capabilities,resulting in a 15.4%reduction in the drag of the tail car.展开更多
In the quantum Monte Carlo(QMC)method,the pseudo-random number generator(PRNG)plays a crucial role in determining the computation time.However,the hidden structure of the PRNG may lead to serious issues such as the br...In the quantum Monte Carlo(QMC)method,the pseudo-random number generator(PRNG)plays a crucial role in determining the computation time.However,the hidden structure of the PRNG may lead to serious issues such as the breakdown of the Markov process.Here,we systematically analyze the performance of different PRNGs on the widely used QMC method known as the stochastic series expansion(SSE)algorithm.To quantitatively compare them,we introduce a quantity called QMC efficiency that can effectively reflect the efficiency of the algorithms.After testing several representative observables of the Heisenberg model in one and two dimensions,we recommend the linear congruential generator as the best choice of PRNG.Our work not only helps improve the performance of the SSE method but also sheds light on the other Markov-chain-based numerical algorithms.展开更多
为抑制双馈感应发电机(doubly-fed induction generator,DFIG)风电场与串补输电线路间次同步控制相互作用(sub-synchronous control interaction,SSCI),提出基于改进无源控制的SSCI抑制策略。首先,分析了DFIG并网中SSCI发生机理,发现转...为抑制双馈感应发电机(doubly-fed induction generator,DFIG)风电场与串补输电线路间次同步控制相互作用(sub-synchronous control interaction,SSCI),提出基于改进无源控制的SSCI抑制策略。首先,分析了DFIG并网中SSCI发生机理,发现转子侧变流器双环PI控制对SSCI影响较大,可对PI控制进行改进以抑制SSCI。其次,基于DFIG欧拉-拉格朗日(Euler-Lagrange,EL)模型和无源理论,设计转子侧无源控制器,通过计算稳定状态点,注入阻尼抑制SSCI。为提高抑制能力,采用带通滤波器改进无源控制,通过保持输入信号稳定提升控制器性能。最后,给出小干扰分析和时域仿真分析结果,并与PI控制和常规无源控制对比,验证所提策略在串补度变化和风速变化时的抑制效果。展开更多
基金supported by the National Natural Science Foundation of China(12372049)Sichuan Science and Technology Program(2023JDRC0062)+1 种基金Science and Technology Program of China National Accreditation Service for Conformity Assessment(2022CNAS15)the Independent Project of State Key Laboratory of Rail Transit Vehicle System(2023TPL-T06).
文摘A relatively high aerodynamic drag is an important factor that hinders the further acceleration of high-speed trains.Using the shear stress transport(SST)k-ωturbulence model,the effect of various vortex generator types on the aerodynamic characteristics of an ICE2(Inter-city Electricity)train has been investigated.The results indi-cate that the vortex generators with wider triangle,trapezoid,and micro-ramp arranged on the surface of the tail car can significantly change the distribution of surface pressure and affect the vorticity intensity in the wake.This alteration effectively reduces the resistance of the tail car.Meanwhile,the micro-ramp vortex generator with its convergent structure at the rear exhibits enhancedflow-guiding capabilities,resulting in a 15.4%reduction in the drag of the tail car.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.12274046,11874094,and 12147102)Chongqing Natural Science Foundation(Grant No.CSTB2022NSCQ-JQX0018)Fundamental Research Funds for the Central Universities(Grant No.2021CDJZYJH-003).
文摘In the quantum Monte Carlo(QMC)method,the pseudo-random number generator(PRNG)plays a crucial role in determining the computation time.However,the hidden structure of the PRNG may lead to serious issues such as the breakdown of the Markov process.Here,we systematically analyze the performance of different PRNGs on the widely used QMC method known as the stochastic series expansion(SSE)algorithm.To quantitatively compare them,we introduce a quantity called QMC efficiency that can effectively reflect the efficiency of the algorithms.After testing several representative observables of the Heisenberg model in one and two dimensions,we recommend the linear congruential generator as the best choice of PRNG.Our work not only helps improve the performance of the SSE method but also sheds light on the other Markov-chain-based numerical algorithms.
文摘为抑制双馈感应发电机(doubly-fed induction generator,DFIG)风电场与串补输电线路间次同步控制相互作用(sub-synchronous control interaction,SSCI),提出基于改进无源控制的SSCI抑制策略。首先,分析了DFIG并网中SSCI发生机理,发现转子侧变流器双环PI控制对SSCI影响较大,可对PI控制进行改进以抑制SSCI。其次,基于DFIG欧拉-拉格朗日(Euler-Lagrange,EL)模型和无源理论,设计转子侧无源控制器,通过计算稳定状态点,注入阻尼抑制SSCI。为提高抑制能力,采用带通滤波器改进无源控制,通过保持输入信号稳定提升控制器性能。最后,给出小干扰分析和时域仿真分析结果,并与PI控制和常规无源控制对比,验证所提策略在串补度变化和风速变化时的抑制效果。
