发布时间: 2018-06-30
报告题目:Multiscale Flow and Transport Dynamics in Complex Media
报告人:凌博闻 博士 斯坦福大学
邀请人:胡冉 副教授
时 间:2018年7月2日(星期一)上午 10:00
地 点:国家重点实验室学术报告厅(农水楼一楼)
凌博闻简介:
Dr. Ling is a postdoctoral researcher at Stanford University. His research focuses on the study of multiscale flow and transport processes in spatially heterogeneous systems consisting of complex geometries. He applies theoretical, experimental and computational analysis to model their dynamical behavior and investigate the coupling of multi-physics. He received his B.E. in Mechanical Engineering from the Central South University, China, and Ph.D. in Mechanical Engineering from the San Diego State University and Mechanical & Aerospace Engineering from University of California, San Diego (Joint Doctoral Program). His publication includes Journal of Fluid Mechanics, Physics of Fluid, Advances in Water Resources, etc.
报告简介:
Complex media and surfaces are ubiquitous in natural and engineered systems. Macroscopic flow and transport in such media is greatly affected by their microscale properties, e.g. heterogeneity and microstructure topology. For example, distinctive characteristics of micro-structured surfaces and nanoimprints are routinely adopted in a variety of manufacturing processes including, but not limited to, nutrient delivery in bioreactor devices, membrane filtration and bio-inspired functional surfaces. These processes involve different physical mechanisms (e.g., heat/solute transfer, homogeneous and heterogeneous reactions, mass and momentum transport) which occur over multiple spatial and temporal scales, while their across-scale coupling control the system overall response. Understanding the coupling between processes with inherently different characteristic scales is critical to achieve predictive understanding of the system's response to stressors and driving forces. In this talk, I will provide an overview of my research projects and I will discuss different approaches to address some of the aforementioned challenges. I will present: (1) a bottom-up approach, based on upscaling through homogenization, that allows one to understand the impact of micro-scale topology on flow and transport at the macro-scale, and (2) a top-down computational framework that enables the coupling between upscaled models and the microscale, while providing optimization/design principles for microstructure topology. While these approaches have shown great potential in modeling vegetation growth in riverine systems, resistance over canopies and reactive sub-surface flow, I will specifically focus on applications to bioreactors and membrane filtration.
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