Quasi-self-powered Infrastructural Internet of Things

Aono, Kenji; Hasni, Hassene; Pochettino, Owen; Lajnef, Nizar; Chakrabartty, Shantanu

doi:10.1145/3194554.3194622

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…The plot relating the output frequency of the pulse ADC to V o can be seen in Figure 4. Despite the fact that differing values of the input voltage can have the same frequency output, these values can still be differentiated by observing their duty cycle, as explained in Aono et al (2018) which shows the duty cycle along with the output frequency. In order to validate the sensors ability to detect strain, several testing methodologies were used.…”

Section: Laboratory Validationmentioning

confidence: 99%

“…Data were collected between May 25th and September 5th of 2017 and had a corrective factor applied (Aono et al, 2018). Based on the traffic patterns provided by the Mackinac Bridge Authority, an expected response model for the PFG sensor was developed using in-lab testing characterizations Aono et al, 2014;Feng et al, 2015;Borchani et al, 2016).…”

Section: Data From 2017mentioning

confidence: 99%

“…By leveraging the electro-mechanical properties of piezoelectric materials to sense strain and acceleration in civil structures (Elvin et al, 2006), and coupling them to PFG sensors to continuously log and store relevant information in an on-chip, non-volatile memory that can be accessed at a later time. This "sense-now-retrievelater" paradigm (Aono et al, 2017(Aono et al, , 2018Aono, 2018) can then be scaled to achieve large coverage while also drastically decreasing the complexity of a wireless network due to the fact that there is no longer a need for instantaneous data transmission. We have also shown that the sensitivity and efficiency of the energy conversion process can be adjusted to allow the PFG to sense both small and large magnitude events (Aono et al, 2014;Feng et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges

Aono

Hasni

Pochettino

et al. 2019

Front. Built Environ.

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Developing a practical framework for long-term structural health monitoring (SHM) of large structures, such as a suspension bridge, poses several major challenges. The next generation of bridge SHM technology needs to continuously monitor conditions and issue early warnings prior to costly repair or catastrophic failures. Additionally, Michigan, the longest suspension bridge across anchorages in the Western Hemisphere. Associated data from the deployment are discussed, in addition to limitations, challenges, and additional considerations for widespread field deployment of the proposed SHM framework.

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Section: Laboratory Validationmentioning

confidence: 99%

Section: Data From 2017mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges

Aono

Hasni

Pochettino

et al. 2019

Front. Built Environ.

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A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends

Salehi

Burgueño

Chakrabartty

et al. 2021

Engineering Structures

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Validation of a Novel Sensing Approach for Continuous Pavement Monitoring Using Full-Scale APT Testing

Manosalvas-Paredes

Aono

Chakrabartty

et al. 2023

J. Transp. Eng., Part B: Pavements

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The objective of this paper is to present a novel approach for the continuous monitoring of pavement condition through the use of 7 combined piezoelectric sensing and novel condition-based interpretation methods. The performance of the developed approach is validated 8 for the detection of bottom-up fatigue cracking through full-scale accelerated pavement testing (APT). The innovative piezoelectric sensors 9 are installed at the bottom of a thin 102 mm (4 in.) 4 asphalt layer. The structure is then loaded until failure (up to 1 million loading cycles in this 10 study). The condition-based approach, used in this work, does not rely on stain 5 measurements and allows users to bypass the need for any 11 structural or finite-element models. Instead, the data compression approach relies on variations in strain energy harvested by smart sensors to 12 track changes in material and structural conditions. Falling weight deflectometer (FWD) measurements and visual inspections were used to 13 validate the observations from the sensing system. The results in this paper present a first large-scale validation in pavement structures for a 14 piezopowered sensing system combined with a new response-only based approach for data reduction and interpretation. The proposed data 15 analysis method has demonstrated a very early detection capability compared to classical inspection methods, which unveils a huge potential 16 for improved pavement monitoring.

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Quasi-self-powered Infrastructural Internet of Things

Cited by 5 publications

References 21 publications

Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges

Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges

A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends

Validation of a Novel Sensing Approach for Continuous Pavement Monitoring Using Full-Scale APT Testing

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