Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)
Abstract
In the context of experimental vibration data, strain gauges can obtain linear and nonlinear dynamic measurements. However, measuring strain can be disincentivizing and expensive due to the complexity of data acquisition systems, lack of portability, and high costs. This research introduces the use of a low-cost efficient wireless intelligent sensor for strain (LEWIS-S) that is based on a portable-sensor-design platform that streamlines strain sensing. Additionally, the softening behavior of a cantilever beam with geometric and inertial nonlinearities is characterized by the LEWIS-S based on high force level inputs. Two experiments were performed on a nonlinear cantilever beam with measurements obtained by the LEWIS-S sensor and an accelerometer. First, a sine sweep test was performed through the fundamental resonance of the system, then a ring-down test was performed from a large initial static deformation. Good agreement was revealed in quantities of interest such as frequency response functions, the continuous wavelet transforms, and softening behavior in the backbone curves.
- Authors:
-
- Univ. of New Mexico, Albuquerque, NM (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1882608
- Report Number(s):
- SAND2022-10034J
Journal ID: ISSN 2631-8695; 708574
- Grant/Contract Number:
- NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Engineering Research Express
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 3; Journal ID: ISSN 2631-8695
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; low-cost strain gauge; strain sensor; nonlinear characterization; nonlinear experimental dynamics
Citation Formats
Robbins, E., Kuether, R. J., and Moreu, F. Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S). United States: N. p., 2022.
Web. doi:10.1088/2631-8695/ac8337.
Robbins, E., Kuether, R. J., & Moreu, F. Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S). United States. https://doi.org/10.1088/2631-8695/ac8337
Robbins, E., Kuether, R. J., and Moreu, F. Fri .
"Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)". United States. https://doi.org/10.1088/2631-8695/ac8337. https://www.osti.gov/servlets/purl/1882608.
@article{osti_1882608,
title = {Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)},
author = {Robbins, E. and Kuether, R. J. and Moreu, F.},
abstractNote = {In the context of experimental vibration data, strain gauges can obtain linear and nonlinear dynamic measurements. However, measuring strain can be disincentivizing and expensive due to the complexity of data acquisition systems, lack of portability, and high costs. This research introduces the use of a low-cost efficient wireless intelligent sensor for strain (LEWIS-S) that is based on a portable-sensor-design platform that streamlines strain sensing. Additionally, the softening behavior of a cantilever beam with geometric and inertial nonlinearities is characterized by the LEWIS-S based on high force level inputs. Two experiments were performed on a nonlinear cantilever beam with measurements obtained by the LEWIS-S sensor and an accelerometer. First, a sine sweep test was performed through the fundamental resonance of the system, then a ring-down test was performed from a large initial static deformation. Good agreement was revealed in quantities of interest such as frequency response functions, the continuous wavelet transforms, and softening behavior in the backbone curves.},
doi = {10.1088/2631-8695/ac8337},
journal = {Engineering Research Express},
number = 3,
volume = 4,
place = {United States},
year = {Fri Jul 29 00:00:00 EDT 2022},
month = {Fri Jul 29 00:00:00 EDT 2022}
}
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