Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, 842 West Taylor Street MC 251, Chicago, Illinois 60607, USA.
J Acoust Soc Am. 2011 Dec;130(6):4126-38. doi: 10.1121/1.3655883.
Previous studies of the first author and others have focused on low audible frequency (<1 kHz) shear and surface wave motion in and on a viscoelastic material comprised of or representative of soft biological tissue. A specific case considered has been surface (Rayleigh) wave motion caused by a circular disk located on the surface and oscillating normal to it. Different approaches to identifying the type and coefficients of a viscoelastic model of the material based on these measurements have been proposed. One approach has been to optimize coefficients in an assumed viscoelastic model type to match measurements of the frequency-dependent Rayleigh wave speed. Another approach has been to optimize coefficients in an assumed viscoelastic model type to match the complex-valued frequency response function (FRF) between the excitation location and points at known radial distances from it. In the present article, the relative merits of these approaches are explored theoretically, computationally, and experimentally. It is concluded that matching the complex-valued FRF may provide a better estimate of the viscoelastic model type and parameter values; though, as the studies herein show, there are inherent limitations to identifying viscoelastic properties based on surface wave measurements.
先前,第一作者等人的研究集中于低可听频率(<1 kHz)的剪切波和黏弹性材料中的面波和表面波运动,这些材料由软生物组织组成或代表软生物组织。研究考虑的一个特定情况是位于表面并垂直于表面振动的圆形圆盘引起的表面(瑞利)波运动。已经提出了基于这些测量结果来识别材料的黏弹性模型类型和系数的不同方法。一种方法是优化假设黏弹性模型类型中的系数以匹配频率相关瑞利波速度的测量值。另一种方法是优化假设黏弹性模型类型中的系数以匹配激励位置与已知径向距离处的点之间的复频响函数(FRF)。在本文中,从理论、计算和实验方面探讨了这些方法的相对优点。结论是,匹配复频响函数可能提供更好的黏弹性模型类型和参数值的估计;然而,正如本文研究所示,基于表面波测量来识别黏弹性性质存在固有局限性。