Particles emission and transport due to wind erosion on beds and stockpiles : local and non-local aspects of turbulent fluid flow dynamics

• Ano de defesa: 2024
• Autor(a) principal: Morais, Cristina Lima de
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Doutorado em Engenharia Ambiental; Centro Tecnológico; UFES; Programa de Pós-Graduação em Engenharia Ambiental
• Palavras-chave em Português: Emissão de partículas; Leito de partículas; Pilhas de estocagem; Simulação de grandes escalas; Análise de similaridade; Particles emission; Particle beds; Granular stockpiles; Large-eddy simulation; Similarity analysis; Engenharia Sanitária
• Link de acesso: http://repositorio.ufes.br/handle/10/17661

This study aims to provide a comprehensive understanding of particle behavior in both local and non-local contexts. We analyze the influence of different configurations of successive stockpiles on the re-emission potential of particles from their surroundings using the USEPA model. This analysis is important for industries that store granular materials in open yards, as it helps to understand the impact of stockpile arrangements on particle emission. However, the USEPA model relies on an empirical equation and has gaps in its consideration of non-erodible particles and their effects on turbulent structures. Additionally, the friction velocity distribution used in the model is derived from previous RANS numerical simulations, which may not be the most accurate. Moving from a non-local to a local perspective, we assess the influence of non erodible particles on the development of fluid flow structures at the particle level. We examine the role of turbulent structures in particle entrainment through LES simulations, which provide detailed information about the flow field. These simulations allowed us to generate probability density distributions of friction velocity for smooth and rough beds, which can be used to improve or develop more accurate environmental stochastic prediction models. Finally, we evaluate the similarity requirements of wind flow, particle entrainment, and particle transport in wind tunnel experiments to ensure they accurately represent real-scale scenarios. By addressing these similarity requirements, we discuss the conditions under which wind tunnel experiments can reliably simulate real conditions, which is essential for the future applicability of our findings