Monitoring induced floor vibrations: dance performance and bridge engineering

Maharjan, Dilendra; Wyckoff, Elijah; Aguero, Marlon; Martinez, Selene D.; Zhou, Lucas; Moreu, Fernando

doi:10.1117/12.2515368

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…The LEWIS-S sensor was used in this research to streamline the strain sensing by providing a low-cost and wireless sensing platform to simplify the DAQ system [23][24][25]. The LEWIS-S was originally developed as a wireless sensor for use in augmented reality applications [26] which was based on the development of the LEWIS that was used for acceleration measurements in structural health monitoring (SHM) applications [23].…”

Section: Lewis-s Sensormentioning

confidence: 99%

Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)

Robbins¹,

Kuether²,

Moreu³

2022

Eng. Res. Express

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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. 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.

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Section: Lewis-s Sensormentioning

confidence: 99%

Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)

Robbins¹,

Kuether²,

Moreu³

2022

Eng. Res. Express

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show abstract

“…(B) Assembled sensor by high school student (Moreu et al, 2018). sensor and the supports (Maharjan et al, 2019). The data from sensors 1 and 2 were collected asynchronously and were post-processed to capture the quality of each of the four dances separately.…”

Section: Sensors Layoutmentioning

confidence: 99%

“…Investigators used 100 Hz sampling rate, lowcost, readily available off-the-shelf sensors. For non-technical users like dancers, these sensors are ideal to capture the human induced vibrations (Maharjan et al, 2019). These sensors were previously used for simplified sensing of structures (Gomez et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Monitoring Human Induced Floor Vibrations for Quantifying Dance Moves: A Study of Human–Structure Interaction

Moreu

Maharjan

Zhu

et al. 2020

Front. Built Environ.

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“…One particular sensor that has accomplished the goal of bringing a simple and cost-effective platform to SHM sensing is the low-cost efficient wireless intelligent sensor (LEWIS) [17][18][19]. The LEWIS was originally developed by Ozdagli et al in [17] as a SHM tool used for measuring acceleration.…”

Section: Introductionmentioning

confidence: 99%

Development of a low-cost efficient wireless intelligent sensor for strain measurements (LEWIS-S)

Robbins¹,

Cobo²,

Diaz³

et al. 2021

Meas. Sci. Technol.

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Generally, measuring strain can be a very difficult and expensive task due to the complex demands of data acquisition (DAQ) systems and pasting strain gauges (SGs) which can disincentivize taking strain measurements overall. However, measuring strain can quantify stresses and mechanical properties which can aid in determining safe operating conditions for materials. The purpose of this research is to introduce an alternative resource to efficiently and accurately measure strain in a cost-effective and easy-to-use platform. In order to accomplish this goal, a new low-cost efficient wireless intelligent sensor for strain (LEWIS-S) was developed and experimentally tested. The LEWIS-S functions on a platform of various Arduino hardware components and free integrated development environment software. The sensor is approximately 95% cheaper than standard commercial equipment and the compact design reduces the footprint of the equipment by approximately 75%. Additionally, the LEWIS-S has an inherently simple design such that limited knowledge is required to manually assemble and use the sensor. Furthermore, the versatility of the sensor allows for the compatibility of different SG attachments which can be useful for sensing optimization during testing. As such, a uniaxial friction-magnetic strain checker and a traditional pasted uniaxial SG were used in the validation testing in this research. Static and dynamic validation tests were conducted on a small cantilever beam where the LEWIS-S was compared to a commercial DAQ system to verify the accuracy and dependability of the sensor. Results from the experimental testing demonstrated good agreement between the LEWIS-S and commercial equipment.

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Monitoring induced floor vibrations: dance performance and bridge engineering

Cited by 4 publications

References 8 publications

Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)

Measuring nonlinearities of a cantilever beam using a low-cost efficient wireless intelligent sensor for strain (LEWIS-S)

Monitoring Human Induced Floor Vibrations for Quantifying Dance Moves: A Study of Human–Structure Interaction

Development of a low-cost efficient wireless intelligent sensor for strain measurements (LEWIS-S)

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