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基于后期错误估计的增强生物机械模拟:双重余量驱动适应性网状精炼的潜力

Huu Phuoc Bui1, Michel Duprez2, Pierre-Yves Rohan3

  • 1Ansys, Lyon, France.

International journal for numerical methods in biomedical engineering
|January 17, 2025
PubMed
概括

本研究引入了一种新的双重余量 (DWR) 方法,用于精确估计生物力学有限元素分析 (FEA) 中的错误. 这种方法提高了软组织和患者特定应用的计算模型的可靠性.

关键词:
一个事后的错误估计器.适应性网格 适应性网格 适应性网格生物软组织生物软组织.双重加权的残留物.有限元分析是有限元分析.软组织生物力学

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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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