Limitations on neuron firing rates restrict the frequency bandwidth of many biological sensory systems. The cochlea overcomes these limitations to hear high frequency sounds through its tonotopic structure and non-synchronous sampling. The cochlea’s tapering basilar membrane serves as a filter bank decomposing an applied sound into its frequency components. Auditory hair cells produce neural impulses at the peaks in the local basilar membrane oscillations resulting in an event-driven, sub-Nyquist rate sampling strategy. These two effects extend the human hearing range to about 20 kHz despite maximum neuron firing rates of just a few hundred hertz. Inspired by this, this paper presents a concept demonstration of an accelerometer and signal compression strategy for high-rate impact events using a similar filter bank approach. A series of clamped-clamped beams will serve as analog analysis filters much like the cochlea’s basilar membrane. This paper focuses on the design and simulation of such a beam array and how the natural frequencies and damping ratios of the beams’ first modes affect measuring a broadband impact excitation.
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ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 18–20, 2017
Snowbird, Utah, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5825-7
PROCEEDINGS PAPER
Beam Array Designs for a Cochlea-Inspired Accelerometer for Impact Measurements
Bryan Joyce,
Bryan Joyce
University of Dayton Research Institute, Eglin AFB, FL
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Jacob Dodson,
Jacob Dodson
Air Force Research Laboratory, Eglin AFB, FL
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Janet Wolfson
Janet Wolfson
Air Force Research Laboratory, Eglin AFB, FL
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Bryan Joyce
University of Dayton Research Institute, Eglin AFB, FL
Jacob Dodson
Air Force Research Laboratory, Eglin AFB, FL
Janet Wolfson
Air Force Research Laboratory, Eglin AFB, FL
Paper No:
SMASIS2017-3723, V001T06A001; 10 pages
Published Online:
November 9, 2017
Citation
Joyce, B, Dodson, J, & Wolfson, J. "Beam Array Designs for a Cochlea-Inspired Accelerometer for Impact Measurements." Proceedings of the ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies. Snowbird, Utah, USA. September 18–20, 2017. V001T06A001. ASME. https://doi.org/10.1115/SMASIS2017-3723
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