The Innovative Self-Sensing Strain Sensor for Asphalt Pavement Structure: Substitutability and Synergy Effects of Graphene Platelets With Carbon Nanotubes in Epoxy Composites

Xue, Xin; Luan, Xuehao; Su, Linping; Ma, Chuanyi; Liang, Ming; Ding, Ximao; Yao, Zhenqiang

doi:10.3389/fmats.2022.824364

Cited by 11 publications

(2 citation statements)

References 49 publications

(52 reference statements)

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“…Based on the self-developed mechanically sensitive sensor element [25], an isotropic homogeneous elastomer with density of 1500 kg/m 3 , modulus of elasticity of 1400 MPa and Poisson's ratio of 0.3 is assumed. The I-beam aluminium alloy is also assumed to be an isotropic homogeneous elastomer with the density of 800 kg/m 3 , modulus of elasticity of 72,000 MPa and Poisson's ratio of 0.3 [26][27][28][29].…”

Section: Embedded Sensing Elementmentioning

confidence: 99%

Mechanical Response Analysis of Asphalt Pavement Structure with Embedded Sensor

Wang¹,

Zhong

Xue

et al. 2022

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Long-term and real-time monitoring of asphalt pavement can be carried out by using embedded sensors to perceive and predict structural damage during pavement operation period, so as to avoid sustained development of damage. However, the influence of embedded sensors on the mechanical properties of asphalt pavement structure and the structural optimization of sensing elements needs to be further studied. Based on the finite element numerical simulation method, static load model and three-point bending test mode were conducted with three “pavement-sensor” coupling model without sensor, with embedded I-shape sensor, with embedded corrugated-shape sensor. Three simulated conditions were studied comparatively of the sensing element embedding effect on the mechanical response of asphalt pavement structure. Results show that the sensing elements embedded with the two structures have a certain influence on the stress and strain field of asphalt concrete. Within the range of 60–100 mm the asphalt mixture is in a state of tension; the stress values increase with depth and show a maximum tensile stress state at the bottom of the beam. In the compression zone, the strain of the I-shape sensing element embedded is closer to that of the strain without the sensing element embedded. Along the axis of the two sensing elements, the axial strain of the I-shape sensing element is smoother and uniform, which ensures the deformation coordination in the road state. The optimal length L of the sensing element is 14 cm, the diameter φ of the sensor is 10 mm, and the I-beam length GL is 10 cm.

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Section: Embedded Sensing Elementmentioning

confidence: 99%

Mechanical Response Analysis of Asphalt Pavement Structure with Embedded Sensor

Wang¹,

Zhong

Xue

et al. 2022

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“…For the harsh monitoring environment of asphalt pavement, the authors have carried out a series of related research in the development of new sensors for pavement [28][29][30][31]. Smart-material-based strain sensing elements have been developed, and the high accuracy, as well as viability of the sensing elements, were verified.…”

Section: Introductionmentioning

confidence: 99%

Encapsulation for Sensing Element and Its Application in Asphalt Road Monitoring

Ma¹,

Xue

Zhang³

et al. 2023

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The internal pavement structure is a “black box”; an accurate strain response for the pavement interlayer structure under vehicle load is hard to obtain by conventional road surface detection methods. This is due to the true strain field of the pavement structure, which means that the service state of the pavement cannot be accurately evaluated. This paper proposes an innovative strain sensor based on a carbon nanotube and epoxy (CNT/EP) composite to solve the current strain monitoring problem in asphalt pavement health monitoring. The CNT/EP composite encapsulation method was proposed, and the I-shaped strain sensor for asphalt pavement structure was developed. The strain–resistance response characteristics of the self-developed sensor were further investigated using a universal testing machine. The encapsulated sensor was used to monitor the strain of the asphalt mixture by means of a laboratory asphalt concrete beam and a practical pavement field. The results showed that the encapsulation method proposed in the study is suitable for CNT/EP material, which could guarantee the survivability and monitoring effectiveness of the self-developed sensor under the harsh environment of high temperature and pressure of asphalt mixture paving. The resistance of encapsulated sensor presents a linear relationship with strain. The laboratory and practical paving verified the feasibility of the self-sensor for strain monitoring of asphalt pavement. Compared to other post-excavating buried sensors, the self-developed sensor can be embedded in the pavement interlayer as the asphalt mixtures paving process, which can obtain the real strain response of pavement structure and reduce the perturbation of the sensor to the dynamic response of the pavement.

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Carbon Nanotube (CNT) Elastomers for Sensing Applications: A Narrative Review

Loukusa,

Little

2023

Conference Proceedings of the Society for Experimental Mechanics Series

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The Innovative Self-Sensing Strain Sensor for Asphalt Pavement Structure: Substitutability and Synergy Effects of Graphene Platelets With Carbon Nanotubes in Epoxy Composites

Cited by 11 publications

References 49 publications

Mechanical Response Analysis of Asphalt Pavement Structure with Embedded Sensor

Mechanical Response Analysis of Asphalt Pavement Structure with Embedded Sensor

Encapsulation for Sensing Element and Its Application in Asphalt Road Monitoring

Carbon Nanotube (CNT) Elastomers for Sensing Applications: A Narrative Review

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