High-confidence modelling of particle resuspension

颗粒重悬浮的高置信度建模

• 批准号: 2440245
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2440245
• 关键词: confidence; modelling; particle; resuspension

The phenomenon of particles being resuspended from surfaces has long been neglected from aerosol dispersion models, mainly due to a lack of knowledge on its governing factors [1]. This project aims to develop an existing model for resuspension, the 'Rock n' Roll' model, created by Reeks and Hall and implemented by Biasi et al., using a stepwise method of model development alongside experimental validation that has been demonstrated successfully by Vincent et al. [1][2][3]. The intent is to build upon the strong physical foundations of the "Rock n' Roll" model by gradually introducing factors that are known to affect particle resuspension but are not incorporated into the existing model. Many of these factors, particularly those influencing particle-surface interactions, have not been extensively researched and will need to be experimentally analysed prior to model development. This will be completed with a range of techniques; including atomic force microscopy, to evaluate the adhesion of particles to a surface, and wind tunnel experiments, coupled with high frame rate imaging, to observe resuspension. The initial focus of the project will be on particle morphology and surface roughness. The former is particularly relevant as it offers the opportunity to implement a novel method developed at the University of Bristol for drying droplets to form structures of a controlled and uniform morphology. By incorporating these factors, and time permitting, other model improvements, the intention is to develop a model with increased complexity, allowing for improved accuracy and greater flexibility to a range of real-world scenarios.

长期以来，气溶胶扩散模型忽略了颗粒从表面再悬浮的现象，主要是由于缺乏对其控制因素的了解[1]。该项目旨在开发一个现有的再悬浮模型，即由Reeks和Hall创建并由Biasi等人实施的“摇滚”模型，使用模型开发的逐步方法以及Vincent等人成功证明的实验验证[1][2][3]。其目的是建立在强大的物理基础上的“摇滚乐”模型，逐步引入已知的影响颗粒再悬浮，但没有纳入现有的模型的因素。许多这些因素，特别是那些影响颗粒表面相互作用，还没有得到广泛的研究，将需要实验分析模型开发之前。这将通过一系列技术来完成;包括原子力显微镜，以评估颗粒对表面的粘附性，以及风洞实验，再加上高帧率成像，以观察再悬浮。该项目最初的重点将是颗粒形态和表面粗糙度。前者是特别相关的，因为它提供了实施布里斯托大学开发的用于干燥液滴以形成受控和均匀形态的结构的新方法的机会。通过纳入这些因素，并在时间允许的情况下，对其他模型进行改进，目的是开发一个复杂性更高的模型，提高准确性，更灵活地应对各种现实情况。

项目成果

Mucin Transiently Sustains Coronavirus Infectivity through Heterogenous Changes in Phase Morphology of Evaporating Aerosol.

• DOI: 10.3390/v14091856
• 发表时间: 2022-08-24
• 期刊: Viruses
• 作者: Alexander RW;Tian J;Haddrell AE;Oswin HP;Neal E;Hardy DA;Otero-Fernandez M;Mann JFS;Cogan TA;Finn A;Davidson AD;Hill DJ;Reid JP
• 通讯作者: Reid JP