Abstract:
Modeling the complex flow of blood and mechanobiology of clots is important in understanding cardiovascular diseases and designing better treatment. However, it is challenging in modeling blood flow as it is an inherently multiscale multiphysics problem. The dynamic behavior of blood is complicated and poorly understood due to interactions between individual cells as well as interactions between the cells and the surrounding plasma and complex vessel walls. Moreover, the presence of highly deformable heterogeneous particles, such as blood cells, vesicles, and polymers, makes it particularly challenging to accurately describe the dynamics in such systems. In this presentation, a massively parallel multiphysics simulation platform developed on popular open-source code will be introduced to simulate such complex flows. The fluid flow was solved by the Lattice Boltzmann method (LBM), while the solid deformation was simulated by particle-based solver. The coupling was achieved through the immersed boundary method (IBM) so that different physics can exchange information with each other. The developed simulation framework was validated with various analytical solutions and experiments and shown to scale almost linearly over thousands of processors. Applications are given in clot mechanics, cancer cell detection in microfluidics, and blood flow in a patient-specific retina vascular network, demonstrating an efficient way of simulating coupled multi-physics problems.
Bio:
Dr. Jifu Tan currently is an assistant professor in mechanical engineering at Binghamton University. Before that, he was an associate professor at Northern Illinois University (NIU). He did a postdoctoral training in the department of chemical and biomolecular engineering at the University of Pennsylvania. He obtained his Ph.D. and M.S. in mechanical engineering from Lehigh University in 2015 and 2012, respectively. He received his B.S. degree in civil engineering from Beijing Jiaotong University in 2007. His primary research interest is fluid structure interaction and its application in engineering and medicine, such as nanoparticle delivery, blood flow modeling, thrombosis and bleeding simulation, microfluidic device design for cell separation. He is also interested in high performance computing, multiscale modeling, data driven models, and machine learning. He is actively engaged in developing open-source code for scientific research. He is the recipient of the 2024 David W. Raymond Award for Use of Technology in Teaching at NIU. He is also the recipient of NSF CAREER award in 2024.
Light refreshments will be provided.
We look forward to seeing you there!
