Data Compression Approach for Long-Term Monitoring of Pavement Structures
Pavement structures are designed to withstand continuous damage during their design life. Damage starts as soon as the pavement is open to traffic and increases with time. If maintenance activities are not considered in the initial design or considered but not applied during the service life, damage...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-12-01
|
| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/5/1/1 |
| _version_ | 1819208379781873664 |
|---|---|
| author | Mario Manosalvas-Paredes Nizar Lajnef Karim Chatti Kenji Aono Juliette Blanc Nick Thom Gordon Airey Davide Lo Presti |
| author_facet | Mario Manosalvas-Paredes Nizar Lajnef Karim Chatti Kenji Aono Juliette Blanc Nick Thom Gordon Airey Davide Lo Presti |
| author_sort | Mario Manosalvas-Paredes |
| collection | DOAJ |
| description | Pavement structures are designed to withstand continuous damage during their design life. Damage starts as soon as the pavement is open to traffic and increases with time. If maintenance activities are not considered in the initial design or considered but not applied during the service life, damage will grow to a point where rehabilitation may be the only and most expensive option left. In order to monitor the evolution of damage and its severity in pavement structures, a novel data compression approach based on cumulative measurements from a piezoelectric sensor is presented in this paper. Specifically, the piezoelectric sensor uses a thin film of polyvinylidene fluoride to sense the energy produced by the micro deformation generated due to the application of traffic loads. Epoxy solution has been used to encapsulate the membrane providing hardness and flexibility to withstand the high-loads and the high-temperatures during construction of the asphalt layer. The piezoelectric sensors have been exposed to three months of loading (approximately 1.0 million loads of 65 kN) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) fatigue carrousel. Notably, the sensors survived the construction and testing. Reference measurements were made with a commercial conventional strain gauge specifically designed for measurements in hot mix asphalt layers. Results from the carrousel successfully demonstrate that the novel approach can be considered as a good indicator of damage progression, thus alleviating the need to measure strains in pavement for the purpose of damage tracking. |
| first_indexed | 2024-12-23T05:38:27Z |
| format | Article |
| id | doaj.art-6f5422af8eb44a8a9e0c54496ff09d2c |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-12-23T05:38:27Z |
| publishDate | 2019-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-6f5422af8eb44a8a9e0c54496ff09d2c2022-12-21T17:58:16ZengMDPI AGInfrastructures2412-38112019-12-0151110.3390/infrastructures5010001infrastructures5010001Data Compression Approach for Long-Term Monitoring of Pavement StructuresMario Manosalvas-Paredes0Nizar Lajnef1Karim Chatti2Kenji Aono3Juliette Blanc4Nick Thom5Gordon Airey6Davide Lo Presti7Nottingham Transportation Engineering Centre, University of Nottingham, Nottingham NG7 2RD, UKDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USADepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USAThe Preston M. Green Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130, USAIFSTTAR, 44340 Nantes, FranceNottingham Transportation Engineering Centre, University of Nottingham, Nottingham NG7 2RD, UKNottingham Transportation Engineering Centre, University of Nottingham, Nottingham NG7 2RD, UKNottingham Transportation Engineering Centre, University of Nottingham, Nottingham NG7 2RD, UKPavement structures are designed to withstand continuous damage during their design life. Damage starts as soon as the pavement is open to traffic and increases with time. If maintenance activities are not considered in the initial design or considered but not applied during the service life, damage will grow to a point where rehabilitation may be the only and most expensive option left. In order to monitor the evolution of damage and its severity in pavement structures, a novel data compression approach based on cumulative measurements from a piezoelectric sensor is presented in this paper. Specifically, the piezoelectric sensor uses a thin film of polyvinylidene fluoride to sense the energy produced by the micro deformation generated due to the application of traffic loads. Epoxy solution has been used to encapsulate the membrane providing hardness and flexibility to withstand the high-loads and the high-temperatures during construction of the asphalt layer. The piezoelectric sensors have been exposed to three months of loading (approximately 1.0 million loads of 65 kN) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) fatigue carrousel. Notably, the sensors survived the construction and testing. Reference measurements were made with a commercial conventional strain gauge specifically designed for measurements in hot mix asphalt layers. Results from the carrousel successfully demonstrate that the novel approach can be considered as a good indicator of damage progression, thus alleviating the need to measure strains in pavement for the purpose of damage tracking.https://www.mdpi.com/2412-3811/5/1/1accelerated pavement testing (apt)fatiguepiezoelectric sensorpavement responseslongitudinal strain |
| spellingShingle | Mario Manosalvas-Paredes Nizar Lajnef Karim Chatti Kenji Aono Juliette Blanc Nick Thom Gordon Airey Davide Lo Presti Data Compression Approach for Long-Term Monitoring of Pavement Structures Infrastructures accelerated pavement testing (apt) fatigue piezoelectric sensor pavement responses longitudinal strain |
| title | Data Compression Approach for Long-Term Monitoring of Pavement Structures |
| title_full | Data Compression Approach for Long-Term Monitoring of Pavement Structures |
| title_fullStr | Data Compression Approach for Long-Term Monitoring of Pavement Structures |
| title_full_unstemmed | Data Compression Approach for Long-Term Monitoring of Pavement Structures |
| title_short | Data Compression Approach for Long-Term Monitoring of Pavement Structures |
| title_sort | data compression approach for long term monitoring of pavement structures |
| topic | accelerated pavement testing (apt) fatigue piezoelectric sensor pavement responses longitudinal strain |
| url | https://www.mdpi.com/2412-3811/5/1/1 |
| work_keys_str_mv | AT mariomanosalvasparedes datacompressionapproachforlongtermmonitoringofpavementstructures AT nizarlajnef datacompressionapproachforlongtermmonitoringofpavementstructures AT karimchatti datacompressionapproachforlongtermmonitoringofpavementstructures AT kenjiaono datacompressionapproachforlongtermmonitoringofpavementstructures AT julietteblanc datacompressionapproachforlongtermmonitoringofpavementstructures AT nickthom datacompressionapproachforlongtermmonitoringofpavementstructures AT gordonairey datacompressionapproachforlongtermmonitoringofpavementstructures AT davidelopresti datacompressionapproachforlongtermmonitoringofpavementstructures |