Transversal vibrations of beams with boundary damping in the context of animal vibrissae

Mice and rats use a sophisticated sensory system to acquire tactile information about their surroundings. Vibrissae, located in the mystacial pad, are either used passively to sense environmental forces (e.g., wind) or actively, when they rhythmically scan objects or surfaces. Some approaches to the biological paradigm vibrissa use rigid body systems in which a rod-like vibrissa is supported by a combination of spring and damping elements modeling the viscoelastic properties of the follicle-sinus-complex. However, these models can only offer limited information about the functionality of the biological sensory system, as they neglect its determining property: the inherent elasticity of the tactile hair. To increase the accuracy and the applicability of the gathered information, the vibrissa is modeled as an elastic beam in this paper. The classical differential equation (derived from the Euler-Bernoulli-equations) is applied to vibrissa beam models with varying supports using discrete and continuously distributed spring and damping elements. The eigenfrequency spectrum of such beams are being determined analytically and numerically, while varying the viscoelastic properties of the support.

[1]  Amalia Pielorz Nonlinear equations for a thin beam , 2004 .

[2]  M. A. Neimark,et al.  Vibrissa Resonance as a Transduction Mechanism for Tactile Encoding , 2003, The Journal of Neuroscience.

[3]  S. Naguleswaran,et al.  A Direct Solution for the Transverse Vibration of Euler-Bernoulli Wedge and Cone Beams , 1994 .

[4]  R. P. Goel Transverse vibrations of tapered beams , 1976 .

[5]  Rune W. Berg,et al.  Rhythmic whisking by rat: retraction as well as protraction of the vibrissae is under active muscular control. , 2003, Journal of neurophysiology.

[6]  M. Géradin,et al.  Mechanical Vibrations: Theory and Application to Structural Dynamics , 1994 .

[7]  M. A. Neimark,et al.  Neural Correlates of Vibrissa Resonance Band-Pass and Somatotopic Representation of High-Frequency Stimuli , 2004, Neuron.

[8]  Anja Schierloh,et al.  Neuronale Netzwerke und deren Plastizität im Barrel-Kortex der Ratte , 2003 .

[9]  Joachim Steigenberger,et al.  Improved Adaptive Controllers for Sensory Systems — First Attempts , 2009 .

[10]  Ben Mitchinson,et al.  Feedback control in active sensing: rat exploratory whisking is modulated by environmental contact , 2007, Proceedings of the Royal Society B: Biological Sciences.

[11]  Joseph H. Solomon,et al.  Biomechanical models for radial distance determination by the rat vibrissal system. , 2007, Journal of neurophysiology.

[12]  Gregory R. Scholz,et al.  Profile Sensing With an Actuated Whisker , 2002 .

[13]  Daniel N. Hill,et al.  Biomechanics of the Vibrissa Motor Plant in Rat: Rhythmic Whisking Consists of Triphasic Neuromuscular Activity , 2008, The Journal of Neuroscience.

[14]  Klaus Zimmermann,et al.  Finite degree-of-freedom models for animal vibrissae , 2009, 2009 European Control Conference (ECC).

[15]  J. Vdovič Über die Transversalschwingungen eines Stabes von veränderlichem Querschnitt , 1973 .

[16]  Stanisław Wojciech,et al.  Nonlinear vibration of a simply supported, viscoelastic inextensible beam and comparison of four methods , 1990 .

[17]  Kathrin Carl Technische Biologie des Tasthaar-Sinnessystems als Gestaltungsgrundlage für taktile stiftführende Mechanosensoren , 2008 .

[18]  Steen Krenk Mechanics and Analysis of Beams, Columns and Cables: A Modern Introduction to the Classic Theories , 2001 .

[19]  J. Dörfl The musculature of the mystacial vibrissae of the white mouse. , 1982, Journal of anatomy.

[20]  P. Redgrave,et al.  Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[21]  Horst Irretier Grundlagen der Schwingungstechnik 2 , 2001 .

[22]  Tae-Eun Jin,et al.  Fiber Types of the Intrinsic Whisker Muscle and Whisking Behavior , 2004, The Journal of Neuroscience.

[23]  S. R. Woodall On the large amplitude oscillations of a thin elastic beam , 1966 .