Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ye, Zhoujing, Cai, Yanxia, Liu, Chang, Lu, Kaiji, Ildefonzo, Dylan G., Wang, Linbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784676364103712768
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
work_keys_str_mv AT yezhoujing optimizationofembeddedsensorpackagingusedinrollpavepavementbasedontestandsimulation
AT caiyanxia optimizationofembeddedsensorpackagingusedinrollpavepavementbasedontestandsimulation
AT liuchang optimizationofembeddedsensorpackagingusedinrollpavepavementbasedontestandsimulation
AT lukaiji optimizationofembeddedsensorpackagingusedinrollpavepavementbasedontestandsimulation
AT ildefonzodylang optimizationofembeddedsensorpackagingusedinrollpavepavementbasedontestandsimulation
AT wanglinbing optimizationofembeddedsensorpackagingusedinrollpavepavementbasedontestandsimulation