文章摘要
何为凯,闫栋梁,杨富春,高翔,张莹,马昕,刘慕萱,徐东宇.蝙蝠喉部发声组织建模及发声机理*[J].,2024,43(2):415-420
蝙蝠喉部发声组织建模及发声机理*
Modeling and vocalization mechanism of bat throat vocalization
投稿时间:2022-11-06  修订日期:2024-03-04
中文摘要:
      建立蝙蝠发声组织模型对超声机理研究及在智能设备的应用具有重要意义。根据蝙蝠喉部发声组织结构特点,通过有限元方法构建了蝙蝠的3种不同发声组织模型,分析了尺寸、材料力学参数、组织结构和张力4个因素对发声组织特征频率的影响。结果表明,如果用人类声带,按比例缩小构建蝙蝠喉部组织模型,蝙蝠无法发出超声波。构建组织结构含甲状软骨和声带的半鼓状模型和只含声带的条状模型,两种模型的特征频率相近且在合理的参数域内均无法达到超声范围。而含膜条状模型的特征频率可以通过张力进行超声频率的调节,这与文献的实验结果一致。因此,可基于含膜条状模型对蝙蝠喉管发声组织进行建模及其发声机理研究。
英文摘要:
      The establishment of a bat vocal tissue model is of great significance for the study of ultrasound mechanism and its application in smart devices. In this paper, three different vocal tissue models of bats were constructed by finite element method according to the characteristics of the vocal tissue structure of bat throat, and the influence of four factors of size, material mechanical parameters, tissue structure and tension on the characteristic frequency of vocal tissue were analyzed. The results showed that if a human vocal cord was used to scale down a bat’s throat tissue model, the bat was unable to emit ultrasound. A semi-drum model with thyroid cartilage and vocal cords and a strip model with only vocal cords were constructed. The eigenfrequencies of the two models are similar and cannot reach the ultrasonic range within a reasonable parameter range. The characteristic frequency of the membrane-containing strip model can be adjusted by tension, which is consistent with the experimental results in the literature. Therefore, the vocal organization of the larynx of bats can be modeled and the mechanism of vocalization can be studied based on the membrane-containing strip model.
DOI:10.11684/j.issn.1000-310X.2024.02.020
中文关键词: 蝙蝠  超声  声带  有限元  特征频率
英文关键词: Bats  Ultrasound  Vocal fold  Finite element  Eigenfrequencies
基金项目:国家自然科学基金项目(12174225), 中国博士后面上项目(批准号2021M701405), 山东省教育厅青创计划(2020KJN002), 济南市博士后创新项目
作者单位E-mail
何为凯 山东交通学院航空学院 heweikailcc@163.com 
闫栋梁 山东交通学院航空学院 dongliang9845@163.com 
杨富春 山东大学机械工程学院 fuchunyang@sdu.edu.cn 
高翔* 山东交通学院航空学院 abrahamgx@163.com 
张莹 山东交通学院航空学院 214049@sdjtu.edu.cn 
马昕 山东大学信息科学与工程学院 max@sdu.edu.cn 
刘慕萱 山东交通学院航空学院 351719210@qq.com 
徐东宇 济南大学山东省网络智能计算重点实验室 xudongyu@lyu.edu.cn 
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