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Analysis of anomalous transport with temporal fractional transport equations in a bounded domain
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作者 吴凯邦 刘嘉言 +4 位作者 刘仕洁 王丰 魏来 栾其斌 王正汹 《Chinese Physics B》 SCIE EI CAS CSCD 2023年第11期364-373,共10页
Anomalous transport in magnetically confined plasmas is investigated using temporal fractional transport equations.The use of temporal fractional transport equations means that the order of the partial derivative with... Anomalous transport in magnetically confined plasmas is investigated using temporal fractional transport equations.The use of temporal fractional transport equations means that the order of the partial derivative with respect to time is a fraction. In this case, the Caputo fractional derivative relative to time is utilized, because it preserves the form of the initial conditions. A numerical calculation reveals that the fractional order of the temporal derivative α(α ∈(0, 1), sub-diffusive regime) controls the diffusion rate. The temporal fractional derivative is related to the fact that the evolution of a physical quantity is affected by its past history, depending on what are termed memory effects. The magnitude of α is a measure of such memory effects. When α decreases, so does the rate of particle diffusion due to memory effects. As a result,if a system initially has a density profile without a source, then the smaller the α is, the more slowly the density profile approaches zero. When a source is added, due to the balance of the diffusion and fueling processes, the system reaches a steady state and the density profile does not evolve. As α decreases, the time required for the system to reach a steady state increases. In magnetically confined plasmas, the temporal fractional transport model can be applied to off-axis heating processes. Moreover, it is found that the memory effects reduce the rate of energy conduction and hollow temperature profiles can be sustained for a longer time in sub-diffusion processes than in ordinary diffusion processes. 展开更多
关键词 anomalous transport temporal fractional transport equation Caputo fractional derivatives mem-ory effects hollow temperature profiles
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CFETR参数下α粒子慢化过程的数值模拟
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作者 吴相凤 王丰 +4 位作者 林展宏 陈罗玉 于召客 吴凯邦 王正汹 《物理学报》 SCIE EI CAS CSCD 北大核心 2023年第21期104-112,共9页
氘氚聚变产生的高能量α粒子是维持未来托卡马克反应堆等离子体高温的主要加热源,良好的α粒子约束对于维持稳态燃烧等离子体至关重要.在持续发生聚变反应的系统中,α粒子远离热平衡,呈现非麦克斯韦分布.如果忽略轨道效应,基于局域库仑... 氘氚聚变产生的高能量α粒子是维持未来托卡马克反应堆等离子体高温的主要加热源,良好的α粒子约束对于维持稳态燃烧等离子体至关重要.在持续发生聚变反应的系统中,α粒子远离热平衡,呈现非麦克斯韦分布.如果忽略轨道效应,基于局域库仑碰撞的假设可以得到α粒子的经典慢化分布,然而由于α粒子存在较大的漂移轨道宽度,空间输运不容忽视,为得到更为准确的α粒子分布函数,需要开展相关的数值计算.本文使用模拟程序PTC(particle tracer code)在中国聚变工程试验堆(CFETR)不同的放电模式下,采用粒子轨道跟踪和蒙特卡罗碰撞方法,对α粒子慢化过程进行了数值模拟,获得了更为真实的α粒子分布函数,并将其与经典慢化分布进行了对比.结果显示分布函数在中等能量附近和经典慢化分布存在较大差异.进一步的分析表明,这是由于中等能量下α粒子的较强的径向输运引起的.本文的研究结果对准确评估α粒子加热背景等离子体的能力具有重要参考价值. 展开更多
关键词 托卡马克 Α粒子 慢化分布
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Analysis of anomalous transport based on radial fractional diffusion equation
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作者 吴凯邦 魏来 王正汹 《Plasma Science and Technology》 SCIE EI CAS CSCD 2022年第4期106-113,共8页
Anomalous transport in magnetically confined plasmas is investigated by radial fractional transport equations.It is shown that for fractional transport models,hollow density profiles are formed and uphill transports c... Anomalous transport in magnetically confined plasmas is investigated by radial fractional transport equations.It is shown that for fractional transport models,hollow density profiles are formed and uphill transports can be observed regardless of whether the fractional diffusion coefficients(FDCs)are radially dependent or not.When a radially dependent FDC<D_(α)(r)1 is imposed,compared with the case under=D_(α)(r)1.0,it is observed that the position of the peak of the density profile is closer to the core.Further,it is found that when FDCs at the positions of source injections increase,the peak values of density profiles decrease.The non-local effect becomes significant as the order of fractional derivative a 1 and causes the uphill transport.However,as a 2,the fractional diffusion model returns to the standard model governed by Fick’s law. 展开更多
关键词 anomalous transport hollow profile NON-LOCALITY fractional diffusion equation
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