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Modelling Flow Trajectories Using Fractional Brownian Motion

机译:使用分数布朗运动对流动轨迹建模

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An improved fractional Brownian motion (fBm) model using fractal geometry is outlined Brownian motion. It produces more realistic flow trajectories than traditional Brownian motion does. The fBm model is used for producing both super diffusive and sub diffusive particle paths, therefore, the non-Fickian diffusion of particle clouds can be modelled. The particle trajectories and clouds are released in an idealised coastal bay and the fBm particle tracking method is used for simulation the particle cloud spreading in the bay. There is a noticeable increase in the spreading rate of the cloud. The variation of the Hurst exponent can lead to an area of the flow being affected by a contaminant cloud which is not picked up by the regular Brownian motion models. Using the fBm particle tracking model allows more flexibility in simulation of diffusion in fluids.
机译:使用分形几何的改进分数布朗运动(fBm)模型概述了布朗运动。它产生的流动轨迹比传统的布朗运动更真实。 fBm模型用于产生超扩散和次扩散粒子路径,因此,可以对粒子云的非菲克式扩散进行建模。粒子轨迹和云在理想化的沿海海湾中释放,而fBm粒子跟踪方法用于模拟在海湾中扩散的粒子云。云的传播速度显着增加。 Hurst指数的变化可能会导致流的区域受到污染物云的影响,而常规云运动模型并未拾取该污染物云。使用fBm粒子跟踪模型可以在流体扩散模拟中提供更大的灵活性。

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