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Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation
Rollpave pavement, as a rollable prefabricated asphalt pavement technology, can effectively reduce the overall road closure time required for pavement construction and maintenance. Sensors can be integrated into Rollpave pavement, thereby avoiding sensor damage that may otherwise result from high te...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955553/ https://www.ncbi.nlm.nih.gov/pubmed/35329734 http://dx.doi.org/10.3390/ma15062283 |
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author | Ye, Zhoujing Cai, Yanxia Liu, Chang Lu, Kaiji Ildefonzo, Dylan G. Wang, Linbing |
author_facet | Ye, Zhoujing Cai, Yanxia Liu, Chang Lu, Kaiji Ildefonzo, Dylan G. Wang, Linbing |
author_sort | Ye, Zhoujing |
collection | PubMed |
description | Rollpave pavement, as a rollable prefabricated asphalt pavement technology, can effectively reduce the overall road closure time required for pavement construction and maintenance. Sensors can be integrated into Rollpave pavement, thereby avoiding sensor damage that may otherwise result from high temperatures and compactive forces during the rolling process, as well as pavement structural damage resulting from cutting and drilling. However, the embedment of sensors into Rollpave pavement still presents certain challenges, namely poor interfacial synergy between the embedded sensor and the asphalt mixture. To solve this problem, three-point bending tests and dynamic response FEM simulations were used to optimize the embedded sensor’s packaging. The influence of sensor embedment on Rollpave pavement under different working conditions was analyzed. Results of these analyses show that low temperature and the epoxy resin negatively affect the bending performance of specimens, and that packaging with cylindrical shape, flat design, and consisting of a material with modulus similar to that of the asphalt mixture should be preferred. This study is conducive to improve the intellectual level and service life of road infrastructure. |
format | Online Article Text |
id | pubmed-8955553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89555532022-03-26 Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation Ye, Zhoujing Cai, Yanxia Liu, Chang Lu, Kaiji Ildefonzo, Dylan G. Wang, Linbing Materials (Basel) Article Rollpave pavement, as a rollable prefabricated asphalt pavement technology, can effectively reduce the overall road closure time required for pavement construction and maintenance. Sensors can be integrated into Rollpave pavement, thereby avoiding sensor damage that may otherwise result from high temperatures and compactive forces during the rolling process, as well as pavement structural damage resulting from cutting and drilling. However, the embedment of sensors into Rollpave pavement still presents certain challenges, namely poor interfacial synergy between the embedded sensor and the asphalt mixture. To solve this problem, three-point bending tests and dynamic response FEM simulations were used to optimize the embedded sensor’s packaging. The influence of sensor embedment on Rollpave pavement under different working conditions was analyzed. Results of these analyses show that low temperature and the epoxy resin negatively affect the bending performance of specimens, and that packaging with cylindrical shape, flat design, and consisting of a material with modulus similar to that of the asphalt mixture should be preferred. This study is conducive to improve the intellectual level and service life of road infrastructure. MDPI 2022-03-19 /pmc/articles/PMC8955553/ /pubmed/35329734 http://dx.doi.org/10.3390/ma15062283 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ye, Zhoujing Cai, Yanxia Liu, Chang Lu, Kaiji Ildefonzo, Dylan G. Wang, Linbing Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation |
title | Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation |
title_full | Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation |
title_fullStr | Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation |
title_full_unstemmed | Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation |
title_short | Optimization of Embedded Sensor Packaging Used in Rollpave Pavement Based on Test and Simulation |
title_sort | optimization of embedded sensor packaging used in rollpave pavement based on test and simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955553/ https://www.ncbi.nlm.nih.gov/pubmed/35329734 http://dx.doi.org/10.3390/ma15062283 |
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