NER: Modeling and Simulation of Fibrin Fibers

项目编号：0404088研究单位：北卡罗来纳大学Chapel hill分校项目负责人：林明标题：NER：纤维蛋白纤维的建模与仿真摘要：纤维蛋白纤维是血凝块的主要结构成分。确定这些纤维的机械性能将为伤口愈合过程提供新的见解，并促进我们对心脏病发作和中风的理解。在确定纤维蛋白凝块对机械应力的反应方面一直有相当大的兴趣。过去的大多数研究主要集中在整个纤维蛋白凝块的体积力学特性上。本项目是利用基于连续介质力学的总体模型对单个纤维蛋白纤维的行为进行定性建模和模拟的初步可行性研究，以更好地了解其力学性能。提出的研究的潜在主题是基于“多尺度”框架设计新的计算模型，仿真方法和软件系统，即描述不同尺度的几何，数值和物理模拟。考虑到分子结构在纳米尺度上的高度复杂性，这种方法可能提供一种强大而有效的解决方案，可以扩展到大尺度问题，并可能充分模拟复杂物理或生物系统中多个纳米实体之间的相互作用。为了确保我们提出的模型和仿真方法的正确性，我们将通过将仿真结果与实验数据进行比较来测试和验证我们的方法。这将提供及时的反馈，并允许快速修改我们提出的模型和模拟方法。

PROPOSAL NO: 0404088INSTITUTION: U of NC Chapel HillPRINCIPAL INVESTIGATOR: Lin , MingTITLE: NER: Modeling and Simulation of Fibrin FibersABSTRACT:Fibrin fibers are the major structural components of blood clots. Determining the mechanical properties of these fibers will provide new insights into the wound healing process and advance our understanding of heart attacks and strokes. There has been considerable interest in determining the response of fibrin clots to mechanical stresses. Most of the investigations in the past have mainly focused on the bulk mechanical properties of whole fibrin clots. This project is a preliminary feasibility study on the use of a gross model based on continuum mechanics to qualitatively model and simulate the behavior of individual fibrin fibers, for better understanding of their mechanical properties. The underlying theme of proposed research is design of novel computational models, simulation methods and software systems based on the "multi-scale" framework, i.e. describing geometry, numerics, and physical simulation across different scales. Given the high complexity of molecular structures at the nanoscale, this approach could potentially offer a robust and efficient solution that scales up to large-sized problems and perhaps adequately models the mutual interaction among multiple nano-entities in complex physical or biological systems. To ensure the correctness of our proposed models and simulation methods, we will test and verify our approaches by comparing the simulation results with experimental data. This will provide timely feedback and allow rapid modification of our proposed models and simulation methods.