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COMPUTATIONAL FRAMEWORK FOR SIMULATING JOINT MECHANICS

模拟关节力学的计算框架

基本信息

批准号：
6732078
负责人：
BENJAMIN J FREGLY
金额：
$ 6.88万
依托单位：
UNIVERSITY OF FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
起止时间：
2002-05-01 至 2005-04-30
项目状态：
已结题

项目摘要

Mechanical loading and especially dynamic loading, is believed to play a major role in degenerative joint diseases. Furthermore, motion (i.e., kinematics) and loading (i.e., contact stresses) often interact to influence disease progression. Thus, knowledge of in vivo joint motion and loading during functional activities would help address this clinically significant issue. While dynamic imaging advances now permit accurate measurement of in vivo joint kinematics, a non-invasive experimental approach does not exist for measuring in vivo joint loading. Consequently, computer simulations have been used to develop predictions given estimates of the muscle forces acting on the joint. However, current rigid body and deformable modeling approaches are not able to calculate contact stress results during movement in critical joints such as the knee. A logical solution to this problem is to incorporate deformable joint models into a larger rigid body dynamic model, thereby obtaining the advantages of both approaches. However, the computation cost of such a hybrid approach is currently a limiting factor. This project therefore proposes the development of a parallel-processing framework for studying human joint mechanics. The specific aims of the project are as follows: (1) Create a dynamic musculoskeletal model with deformable knee joint contact. Deformable contact in the knee will be studied initially since the knee is the most commonly injured joint. (2) Incorporate this model into a parallel-processing optimization framework. Parallel processing will be used to reduce the computational time for predictive optimizations from weeks to a matters of hours. (3) Evaluate the model's ability to predict experimental movement data. Pre-existing experimental movement data will be used to evaluate the model's ability to predict motion and ultimately joint contact stresses. The resulting functional virtual human model can then be used for basic research and clinical applications.

机械负荷，特别是动态负荷，被认为在退行性关节疾病中起主要作用。此外，运动（即，运动学）和加载（即，接触应力）经常相互作用以影响疾病进展。因此，了解功能活动期间的体内关节运动和载荷将有助于解决这一具有临床意义的问题。虽然动态成像的进步，现在允许在体内关节运动学的准确测量，一个非侵入性的实验方法不存在测量体内关节负荷。因此，计算机模拟已被用来开发预测给定的肌肉力量的估计作用在关节上。然而，目前的刚体和可变形建模方法不能计算接触应力的结果，在运动过程中的关键关节，如膝盖。这个问题的一个合理的解决方案是将可变形关节模型纳入一个更大的刚体动力学模型，从而获得这两种方法的优点。然而，这种混合方法的计算成本目前是一个限制因素。因此，该项目提出开发一个用于研究人体关节力学的并行处理框架。本课题的具体目标如下：（1）建立膝关节接触可变形的动态肌肉骨骼模型。由于膝关节是最常见的损伤关节，因此将首先研究膝关节中的变形接触。(2)将此模型纳入并行处理优化框架。并行处理将用于将预测优化的计算时间从数周减少到几个小时。(3)评估模型预测实验运动数据的能力。现有的实验运动数据将用于评估模型预测运动和最终关节接触应力的能力。由此产生的功能虚拟人模型，然后可以用于基础研究和临床应用。