Iorga Lucian N, Shan Baoxiang, Pelegri Assimina A
Department of Mechanical and Aerospace Engineering, Rutgers, The State University of New Jersey, Piscataway, USA.
Comput Methods Biomech Biomed Engin. 2009 Apr;12(2):197-209. doi: 10.1080/10255840903091569.
A finite element (FE) model is employed to investigate the dynamic response of soft tissues under external excitations, particularly corresponding to the case of harmonic motion imaging. A solid 3D mixed 'u-p' element S8P0 is implemented to capture the near-incompressibility inherent in soft tissues. Two important aspects in structural modelling of these tissues are studied; these are the influence of viscous damping on the dynamic response and, following FE-modelling, a developed state-space formulation that valuates the efficiency of several order reduction methods. It is illustrated that the order of the mathematical model can be significantly reduced, while preserving the accuracy of the observed system dynamics. Thus, the reduced-order state-space representation of soft tissues for general dynamic analysis significantly reduces the computational cost and provides a unitary framework for the 'forward' simulation and 'inverse' estimation of soft tissues. Moreover, the results suggest that damping in soft-tissue is significant, effectively cancelling the contribution of all but the first few vibration modes.
采用有限元(FE)模型来研究软组织在外部激励下的动态响应,特别是对应于谐波运动成像的情况。采用实体三维混合“u-p”单元S8P0来捕捉软组织固有的近不可压缩性。研究了这些组织结构建模中的两个重要方面;这两个方面分别是粘性阻尼对动态响应的影响,以及在有限元建模之后,一种改进的状态空间公式,该公式评估了几种降阶方法的效率。结果表明,在保持观测系统动力学准确性的同时,可以显著降低数学模型的阶数。因此,用于一般动态分析的软组织降阶状态空间表示法显著降低了计算成本,并为软组织的“正向”模拟和“反向”估计提供了一个统一的框架。此外,结果表明软组织中的阻尼很显著,有效地抵消了除前几个振动模式之外所有模式的贡献。