FEBio - Finite Elements for Biomechanics and Biophysics

总结 有限元分析已成为生物医学科学研究和发现不可或缺的工具。 从历史上看，缺乏一个适合该领域需求的开放式软件环境阻碍了 研究进展、研究成果的传播以及模型和成果的共享。为了解决这些问题，我们 开发了FEBio软件套件，这是一个专门为生物力学分析设计的FE框架， 生物物理学，在我们的第一个资助期（2007-2011年）。FEBio采用混合理论来解释多因素 生物组织和液体的组成性质，统一了不可逆热力学的经典领域， 固体力学、流体力学、质量传输、化学反应和电动力学。在第二 在2012-2016年的资助期内，我们实现了混合物成分之间的化学反应， 通过开发一个易于添加功能的插件环境，扩大了FEBio的目标受众 或将其他软件与FEBio连接。在我们的第三个资助期（2016-2020年），我们开发了一种新的FE 可压缩和不可压缩CFD模拟框架，扩展此框架以进行分析 的FSI（流固耦合）问题，我们增强了算法，分析和数值计算能力 在FEBio中，通过实施有效的迭代线性求解器和预处理器，新的非线性求解策略， 和自适应网格。在这个竞争性的延续申请中，我们提出了三个目标：1）制定和 实现一个计算效率高的纤维组织损伤和疲劳失效框架; 2）扩展我们的 多物理场算法，溶质运输和反应在流体域，组织生长和重塑， 流体域及其与多相域的界面; 3）通过我们的 从模型设置到模型验证的整个仿真流程。这些新功能将扩展 FEBio的生物医学研究的新领域的适用性，增加我们的用户群，促进科学 进步。

SUMMARY Finite element analysis has become an indispensable tool for research and discovery in the biomedical sciences. Historically, the lack of an open software environment that was tailored to the needs of the field hampered research progress, dissemination of research and sharing of models and results. To address these issues, we developed the FEBio software suite, a FE framework designed specifically for analysis in biomechanics and biophysics, during our first funding period (2007-2011). FEBio employs mixture theory to account for the multi- constituent nature of biological tissues and fluids, unifying the classical fields of irreversible thermodynamics, solid mechanics, fluid mechanics, mass transport, chemical reactions and electrokinetics. During the second funding period (2012-2016), we implemented chemical reactions between constituents of a mixture and we broadened the target audience for FEBio by developing a plugin environment that made it easy to add features or interface other software with FEBio. During our third funding period (2016-2020), we developed a novel FE framework for simulation of compressible and incompressible CFD, extended this framework to enable analysis of FSI (Fluid-Structure Interaction) problems, and we enhanced algorithmic, analysis and numerical capabilities in FEBio by implementing efficient iterative linear solvers and preconditioners, new nonlinear solution strategies, and adaptive meshing. In this competing continuation application, we propose three aims: 1) Formulate and implement a computationally efficient damage and fatigue failure framework for fibrous tissues; 2) Extend our multiphysics algorithms to solute transport and reactions in fluid domains, and tissue growth and remodeling in fluid domains and at their interfaces with multiphasic domains; 3) Integrate the use of image data through our entire simulation pipeline, from model setup to model validation. These new capabilities will expand the applicability of FEBio to new fields of biomedical research, increasing our user base and facilitating scientific advancement.