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Towards a predictive capability for the resuspension of particles through extension and experimental validation of the Biasi implementation of the “Rock’n’Roll” model
Journal of Aerosol Science ( IF 3.9 ) Pub Date : 2019-11-01 , DOI: 10.1016/j.jaerosci.2019.105435
Jack C. Vincent , Jonathan Hill , Maurice D. Walker , Simon A. Smith , Sarah E. Smith , Nicola E. Cant

Abstract When considering the behaviour of particulate materials in the environment, it is important to consider resuspension, in which deposited particles leave the ground and become airborne. Despite significant study, models of resuspension typically include no treatment of transient phenomena in the period shortly after release. This paper describes the selection, initial implementation and validation of a resuspension model that is suitable for the stepwise introduction of real-world complexity (such as the effects of humidity, particle shape, roughness or composition), thus enabling it to be developed from simplistic, idealised scenarios to real particles and surfaces. Using an adapted version of the Biasi, de los Reyes, Reeks, and De Santi (2001) implementation of the “Rock'n’Roll” model for resuspension proposed by Reeks and Hall (2001), results for resuspension of hard smooth spherical particles from hard smooth surfaces under dry conditions were modelled. These were found to agree to within an order of magnitude in all cases, and typically within a factor of two, with experimental data for the proportion of particles resuspended as generated using a custom built highly controllable wind tunnel. To the authors' knowledge, this is the first time that reproducible data, suitable for model validation for particles of respirable size under commonly expected environmental conditions, has been collected. As proof of principle of the stepwise approach to the introduction of complexity, the model was adapted and extended to include capillary forces. This enabled experimental confirmation that the model was able to predict correctly the effect of relative humidity on resuspension. Results demonstrated that the level of agreement between model and experiment has been maintained.

中文翻译:

通过对“摇滚”模型的 Biasi 实施进行扩展和实验验证,实现对粒子再悬浮的预测能力

摘要 在考虑颗粒材料在环境中的行为时,重要的是要考虑再悬浮,其中沉积的颗粒离开地面并进入空气传播。尽管进行了大量研究,但再悬浮模型通常不包括对释放后不久的瞬态现象的处理。本文描述了重悬浮模型的选择、初始实施和验证,该模型适用于逐步引入现实世界的复杂性(例如湿度、颗粒形状、粗糙度或成分的影响),从而使其能够从简单的,理想化的场景到真实的粒子和表面。使用 Biasi、de los Reyes、Reeks 和 De Santi (2001) 的改编版本实现“Rock” 由 Reeks 和 Hall (2001) 提出的 n'Roll”再悬浮模型,模拟了在干燥条件下从坚硬光滑的表面重新悬浮坚硬光滑的球形颗粒的结果。发现这些在所有情况下都在一个数量级内一致,通常在两倍内,使用定制的高度可控风洞产生的重新悬浮颗粒比例的实验数据。据作者所知,这是第一次收集到可重复数据,适用于在普遍预期的环境条件下对可吸入颗粒进行模型验证。作为引入复杂性的逐步方法的原理证明,该模型经过调整和扩展以包括毛细作用力。这使得实验确认模型能够正确预测相对湿度对再悬浮的影响。结果表明,模型和实验之间的一致性水平得到了保持。
更新日期:2019-11-01
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