产生具有异构结构的周期性代表体积元素的原始方法:对骨肌肉的应用
Aude Loumeaud1, Philippe Pouletaut2, Sabine F Bensamoun2
1University of Strasbourg, CNRS, Inserm, ICube, UMR 7357, Strasbourg, France.
Journal of biomechanics
|August 23, 2025
概括
这项研究引入了一种用于骨肌肉多尺度建模的代表体积元素 (RVE) 的新方法. 该模型准确地表示肌肉纤维分布和机械特性, 增强生物机械模拟.
科学领域:
- 生物力学
- 材料科学
- 计算模型
背景情况:
- 骨肌肉的机械反应是由其复杂的等级结构决定的.
- 多尺度有限元建模对于理解不同尺度的肌肉力学至关重要.
- 准确的多尺度模型需要在每个尺度上精确地定义结构和机械行为.
研究的目的:
- 提出用于骨肌肉多尺度建模的周期性代表体积元素 (RVE) 的原始方法.
- 将经过实验得出的参数,包括纤维类型分布和机械性能,整合到RVE中.
- 开发一种能够分析不同肌肉表型和其他异质材料的模型.
主要方法:
- 使用光学显微镜对小鼠骨肌的图像生成周期性RVE.
- 包括细胞外基质 (ECM),缓慢和快速肌肉纤维的实验测量分布.
- 实现微组件之间的平滑机械性能变化和过渡层,以防止数值文物.
主要成果:
- 开发了一种用于骨肌肉的原始周期性RVE生成方法.
- 该RVE包含ECM和肌肉纤维类型的概率分布,以及几何特征.
- 在肌肉纤维和ECM之间实现了平滑的机械性质转换.
结论:
- 拟议的RVE模型允许对骨肌肉表型进行多尺度和多组件分析.
- 这种方法可以扩展到模拟其他异质异构材料,例如纤维增强复合材料.
- 该模型提高了生物力学和材料科学的有限元素分析的准确性.
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