Lab-to-User Training and Dissemination for the FEBio Software Suite

FEBio 软件套件的实验室对用户培训和传播

• 批准号: 10019547
• 负责人: JEFFREY A. WEISS
• 金额: $ 23.51万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10019547
• 关键词: Address; Area; Biological; Biomechanics; Biomedical Engineering; Biophysics; Catalogs; Client; Code; Communities; Computational algorithm; Computer Models; Computer software; Computing Methodologies; Coupling; Data; Databases; Development; Discipline; Elements; Environment; Finite Element Analysis; Formulation; Funding; Generations; Laboratories; Lead; Liquid substance; Mechanics; Methodology; Methods; Modeling; NIH Program Announcements; Nature; Online Systems; Postdoctoral Fellow; Research; Research Personnel; Resources; Science; Scientist; Solid; System; Techniques; Technology; Thermodynamics; Time; Tissues; Training; Training Support; Visualization; algorithmic methodologies; analysis pipeline; base; chemical reaction; design; digital; dissemination research; experience; graphical user interface; improved; learning materials; next generation; novel; novel strategies; parallelization; program dissemination; repository; simulation; solute; success; theories; tool; virtual

SUMMARY Finite element analysis has become an indispensable tool for research and discovery in the biomedical sciences. Historically, the lack of a software environment that was tailored to the needs of the field hampered research progress, dissemination of research and sharing of models and results. Investigators previously relied on commercial software, but these packages were not geared toward biological applications, were difficult to verify, and precluded the easy addition, extension and sharing of new features. To address these issues, we developed the FEBio software suite, a FE framework designed specifically for analysis in biomechanics and biophysics. FEBio employs mixture theory to account for the multi-constituent nature of soft and hard tissues, unifying the classical fields of irreversible thermodynamics, solid mechanics, fluid mechanics, mass transport, chemical reactions and electrokinetics. Despite the popularity of the FEBio software suite, we have never been able to fully address the needs of our user base in terms of dissemination and training. The overall aim of this project is to develop an integrated software environment for FEBio to deliver new approaches for digital training and dissemination to our user community. This will be accomplished through the following specific aims: 1) Create a unified graphical software environment that encompasses the entire FEBio analysis pipeline. 2) Develop a model sharing environment for FEbio. 3) Develop digital training materials and virtual training courses to serve and expand the FEBio community. We will partner with laboratories that already use FEBio to evaluate these advancements in training and dissemination. These new mechanisms for training and dissemination will improve the accessibility of FEBio’s broad simulation capabilities, creating a larger, more collaborative user group that spans a greater range of technical disciplines.

概括 有限元分析已成为生物医学研究和发现不可或缺的工具。 从历史上看，缺乏适合该领域需求的软件环境阻碍了研究 进展、研究传播以及模型和结果共享。调查人员此前依赖 商业软件，但这些软件包不适合生物应用，很难验证， 并阻碍了新功能的轻松添加、扩展和共享。为了解决这些问题，我们开发了 FEBio 软件套件是专门为生物力学和生物物理学分析而设计的有限元框架。 FEBio 采用混合理论来解释软组织和硬组织的多成分性质，统一了 不可逆热力学、固体力学、流体力学、质量传递、化学等经典领域 反应和动电学。尽管 FEBio 软件套件很受欢迎，但我们从未能够 充分满足用户群在传播和培训方面的需求。该项目的总体目标是 为 FEBio 开发集成软件环境，以提供数字培训和培训的新方法 传播到我们的用户社区。这将通过以下具体目标来实现： 1) 创建一个 统一的图形软件环境，涵盖整个 FEBio 分析流程。 2）开发模型 FEbio 的共享环境。 3）开发数字培训材料和虚拟培训课程以服务和 扩大 FEBio 社区。我们将与已经使用 FEBio 的实验室合作来评估这些 培训和传播方面取得进展。这些新的培训和传播机制将改善 FEBio 广泛的模拟功能的可访问性，创建了一个更大、更具协作性的用户组 涵盖了更广泛的技术学科。