浅表神经杆倾斜结构对鱼侧线水动力信号感知的影响

IF 4.6 2区 工程技术 Q1 ENGINEERING, MECHANICAL
Wenhui Wang  (, ), Guo-Qing Chen  (, ), Zengzhi Du  (, ), Yang Yang  (, ), Wei Peng  (, ), Yu Li  (, ), Weien Zhou  (, ), Hongyuan Li  (, ), Huiling Duan  (, ), Wen Yao  (, ), Pengyu Lv  (, )
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引用次数: 0

摘要

鱼类侧线在感知周围的流体动力信号方面起着至关重要的作用,这些信号有助于鱼类觅食和躲避捕食者。侧线的浅神经突(SNs)是重要的感觉单位,大多数是倾斜的,结构大小范围很广。然而,之前研究的SNs是垂直的,倾斜SN构型对其流体动力信号感知的影响尚不清楚。本文建立了考虑振荡流体(微扰或水动力信号)和倾斜SN构型的流固耦合模型,研究了倾斜形貌和结构尺寸对SN流动感知能力的影响。对于倾斜形态,较大的倾斜角度(IA)导致较小的水动力响应,从而降低了SN敏感性,增强了抑制流动噪声的能力。当扰动振荡频率为0.01 Hz, IA为30°时,感应能力(Γ)比垂直配置高约300倍。因此,虽然SN的倾斜形态降低了其感知灵敏度,但在某些情况下,它可以通过抑制流致噪声的干扰来提高Γ。对于结构尺寸,分析了SN直径(D)、kinocilium高度(hk)和cupula高度(hc)对感知灵敏度的影响。随着D的增加,SN感知敏感性经历了两个不同的阶段。当D < 45µm时,感知灵敏度的截止频率随D的增大而增大。当D大于45µm时,由于流体力引起的结构共振,灵敏度达到峰值。随着D的进一步增大,峰值灵敏度变大,共振峰向左偏移。此外,增加hk和hc降低了截止频率,同时增强了低频水动力信号的感知。这些发现有助于更深入地理解SNs的流动感知机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of inclined configuration of superficial neuromast on hydrodynamic signal perception of the fish lateral line

The fish lateral line plays a crucial role in sensing surrounding hydrodynamic signals, which assist fish in foraging and evading predators. Superficial neuromasts (SNs) in the lateral line are important sensory units, most of which are inclined and exhibit a broad range of structural sizes. However, the SNs studied previously are vertical, and the effects of inclined SN configurations on their perception of hydrodynamic signals remain unclear. This paper establishes a fluid-structure interaction model considering oscillation fluid (perturbation or hydrodynamic signal) and inclined SN configuration, and the effects of inclined morphology and structural size on the SN’s flow perception ability are investigated. For the inclined morphology, a larger inclined angle (IA) leads to a smaller hydrodynamic response, thus reducing SN sensitivity but enhancing the ability to suppress flow-induced noise. When the perturbation oscillation frequency is 0.01 Hz, and the IA is 30°, the sensing ability (Γ) is approximately 300 times higher than that of the vertical configuration. Thus, although the inclined morphology of the SN reduces its perception sensitivity, in certain cases, it can improve the Γ by suppressing the interference of flow-induced noise. For the structural size, the effects of SN diameter (D), kinocilium height (hk), and cupula height (hc) on perception sensitivity are analyzed. As D increases, the SN perception sensitivity undergoes two distinct stages. When D is less than 45 µm, the cut-off frequency of perception sensitivity increases as D increases. When D exceeds 45 µm, the sensitivity reaches a peak due to structural resonance induced by fluid forces. As D increases further, the peak sensitivity becomes larger, and the resonance peak shifts to the left. Additionally, increasing the hk and hc reduces the cut-off frequency while enhancing the perception of low-frequency hydrodynamic signals. These findings contribute to a deeper understanding of the flow perception mechanism in SNs.

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来源期刊
Acta Mechanica Sinica
Acta Mechanica Sinica 物理-工程:机械
CiteScore
5.60
自引率
20.00%
发文量
1807
审稿时长
4 months
期刊介绍: Acta Mechanica Sinica, sponsored by the Chinese Society of Theoretical and Applied Mechanics, promotes scientific exchanges and collaboration among Chinese scientists in China and abroad. It features high quality, original papers in all aspects of mechanics and mechanical sciences. Not only does the journal explore the classical subdivisions of theoretical and applied mechanics such as solid and fluid mechanics, it also explores recently emerging areas such as biomechanics and nanomechanics. In addition, the journal investigates analytical, computational, and experimental progresses in all areas of mechanics. Lastly, it encourages research in interdisciplinary subjects, serving as a bridge between mechanics and other branches of engineering and the sciences. In addition to research papers, Acta Mechanica Sinica publishes reviews, notes, experimental techniques, scientific events, and other special topics of interest. Related subjects » Classical Continuum Physics - Computational Intelligence and Complexity - Mechanics
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