利用人类头骨中的振动和导波

E. Kohtanen, M. Mazzotti, M. Ruzzene, A. Erturk
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引用次数: 1

摘要

这项工作集中在高保真建模,分析和严格的实验振动和引导(Lamb)波在人类头骨在两个相连的轨道:(1)颅骨结构的分层建模(与皮质表和diploë)及其基于振动的弹性参数识别(和验证);(2)在层状半解析有限元框架下,利用识别出的弹性参数进行经颅泄漏Lamb波表征实验和辐射分析,然后进行考虑内部孔隙度的时间瞬态模拟。在第一轨道中,进行了非接触振动实验,以提取听觉频率范围内的前几个模态频率,以及从人类头骨的顶叶和额叶区域提取的干颅骨片段的相关阻尼比和模态振型。骨段的数值模型是用一种新的图像重建方案建立的,该方案采用微计算机断层扫描来建立分层的骨几何结构,并为皮质表和diploë提供单独的均匀化域。然后将这些数值模型和实验模态频率用于迭代参数识别方案,该方案产生每个域的皮质和双质体各向同性弹性模量,而使用从扫描中获得的总实验质量和层质量比来估计相应的密度。在确定的弹性参数下,试验模态频率与数值模态频率的平均误差小于1.5%,大多数模态的模态保证准则值在0.90以上。此外,提取的参数在文献报道的结果范围内。在第二个轨道上,重点放在泄漏兰姆波的主题上,作为一种有前途的替代传统超声技术的经颅传输,特别是进入大脑外围,已受到越来越多的关注。在同一组颅骨骨段上进行漏兰姆波激发和辐射表征实验。利用超声换能器和针状水听器装置对脱气后的颅骨片段进行了水下辐射压力场扫描实验。利用第一航迹得到的弹性参数进行导波频散模拟,利用上述分层模型准确预测了流体加载下的辐射角。主辐射角对应的导波模式具有低衰减和显着的面外偏振。最后,将实验辐射光谱与利用从微计算机层析扫描重建的几何模型进行的时间瞬态有限元模拟所得的辐射光谱进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Vibrations and Guided Waves in a Human Skull
This work is centered on high-fidelity modeling, analysis, and rigorous experiments of vibrations and guided (Lamb) waves in a human skull in two connected tracks: (1) layered modeling of the cranial bone structure (with cortical tables and diploë) and its vibration-based elastic parameter identification (and validation); (2) transcranial leaky Lamb wave characterization experiments and radiation analyses using the identified elastic parameters in a layered semi analytical finite element framework, followed by time transient simulations that consider the inner porosity as is. In the first track, non-contact vibration experiments are conducted to extract the first handful of modal frequencies in the auditory frequency regime, along with the associated damping ratios and mode shapes, of dry cranial bone segments extracted from the parietal and frontal regions of a human skull. Numerical models of the bone segments are built with a novel image reconstruction scheme that employs microcomputed tomographic scans to build a layered bone geometry with separate homogenized domains for the cortical tables and the diploë. These numerical models and the experimental modal frequencies are then used in an iterative parameter identification scheme that yields the cortical and diploic isotropic elastic moduli of each domain, whereas the corresponding densities are estimated using the total experimental mass and layer mass ratios obtained from the scans. With the identified elastic parameters, the average error between experimental and numerical modal frequencies is less than 1.5% and the modal assurance criterion values for most modes are above 0.90. Furthermore, the extracted parameters are in the range of the results reported in the literature. In the second track, the focus is placed on the subject of leaky Lamb waves, which has received growing attention as a promising alternative to conventional ultrasound techniques for transcranial transmission, especially to access the brain periphery. Experiments are conducted on the same cranial bone segment set for leaky Lamb wave excitation and radiation characterization. The degassed skull bone segments are used in submersed experiments with an ultrasonic transducer and needle hydrophone setup for radiation pressure field scanning. Elastic parameters obtained from the first track are used in guided wave dispersion simulations, and the radiation angles are accurately predicted using the aforementioned layered model in the presence of fluid loading. The dominant radiation angles are shown to correspond to guided wave modes with low attenuation and a significant out-of-plane polarization. The experimental radiation spectra are finally compared against those obtained from time transient finite element simulations that leverage geometric models reconstructed from microcomputed tomographic scans.
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