Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Medical School at Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Medical School at Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
J Voice. 2019 Jul;33(4):385-400. doi: 10.1016/j.jvoice.2018.01.001. Epub 2018 Feb 7.
Human phonation is based on the interaction between tracheal airflow and laryngeal dynamics. This fluid-structure interaction is based on the energy exchange between airflow and vocal folds. Major challenges in analyzing the phonatory process in-vivo are the small dimensions and the poor accessibility of the region of interest. For improved analysis of the phonatory process, numerical simulations of the airflow and the vocal fold dynamics have been suggested. Even though most of the models reproduced the phonatory process fairly well, development of comprehensive larynx models is still a subject of research. In the context of clinical application, physiological accuracy and computational model efficiency are of great interest. In this study, a simple numerical larynx model is introduced that incorporates the laryngeal fluid flow. It is based on a synthetic experimental model with silicone vocal folds. The degree of realism was successively increased in separate computational models and each model was simulated for 10 oscillation cycles. Results show that relevant features of the laryngeal flow field, such as glottal jet deflection, develop even when applying rather simple static models with oscillating flow rates. Including further phonatory components such as vocal fold motion, mucosal wave propagation, and ventricular folds, the simulations show phonatory key features like intraglottal flow separation and increased flow rate in presence of ventricular folds. The simulation time on 100 CPU cores ranged between 25 and 290 hours, currently restricting clinical application of these models. Nevertheless, results show high potential of numerical simulations for better understanding of phonatory process.
人类发声基于气管气流与喉部动力学之间的相互作用。这种流固相互作用基于气流与声带之间的能量交换。分析体内发声过程的主要挑战是感兴趣区域的小尺寸和较差的可达性。为了改进发声过程的分析,已经提出了气流和声带动力学的数值模拟。尽管大多数模型相当好地再现了发声过程,但全面的喉部模型的开发仍然是一个研究课题。在临床应用的背景下,生理准确性和计算模型效率非常重要。在这项研究中,介绍了一种简单的数值喉部模型,其中包含了喉部的流体流动。它基于具有硅树脂声带的合成实验模型。在单独的计算模型中,依次增加了逼真度,并且为每个模型模拟了 10 个振荡周期。结果表明,即使应用具有振荡流量的相当简单的静态模型,也会产生喉部流场的相关特征,例如声门射流的偏转。包括声带运动、黏膜波传播和室带等进一步的发声组件后,模拟显示了声门关键特征,例如声门内的流动分离和室带存在时的流量增加。在 100 个 CPU 核上的模拟时间在 25 到 290 小时之间,目前限制了这些模型的临床应用。然而,结果表明数值模拟具有很高的潜力,可以更好地理解发声过程。