Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency
The fracturing technology has been gradually applied to the field of semi-rigid base, but the current fracturing technology evaluation means cannot achieve comprehensive and real-time evaluation. Therefore, this study introduces a method for the real-time evaluation of fractured semi-rigid pavements...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221450952500110X |
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| _version_ | 1832573168136486912 |
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| author | Mohan Zhao Yu Liu Xinnan Xu Yuhao Pei Chengmiao Zhang Chaofan Wu |
| author_facet | Mohan Zhao Yu Liu Xinnan Xu Yuhao Pei Chengmiao Zhang Chaofan Wu |
| author_sort | Mohan Zhao |
| collection | DOAJ |
| description | The fracturing technology has been gradually applied to the field of semi-rigid base, but the current fracturing technology evaluation means cannot achieve comprehensive and real-time evaluation. Therefore, this study introduces a method for the real-time evaluation of fractured semi-rigid pavements. Utilizing falling weight impact acceleration signals, this approach allows for immediate assessment of pavement conditions, addressing the critical challenge of evaluating and enhancing the recycling process of old asphalt bases. Through comprehensive theoretical analysis, indoor non-destructive experiments, and field validations, we demonstrate a significant correlation between impact signals and pavement resilience. This method achieves an identification accuracy of up to 90.90 %, showcasing its potential to significantly improve construction efficiency, reduce resource wastage, and extend pavement life. This technology promises to significantly enhance the quality and efficiency of semi-rigid base asphalt pavement recycling, effectively extending the lifespan of recycled pavements. |
| format | Article |
| id | doaj-art-b1c6b50c3a044481b5655cc599046194 |
| institution | Kabale University |
| issn | 2214-5095 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj-art-b1c6b50c3a044481b5655cc5990461942025-02-02T05:27:33ZengElsevierCase Studies in Construction Materials2214-50952025-07-0122e04312Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiencyMohan Zhao0Yu Liu1Xinnan Xu2Yuhao Pei3Chengmiao Zhang4Chaofan Wu5Key Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, China; Correspondence to: Key Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University.Key Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, ChinaXi’an Changda Highway Maintenance Technology Go.,LTD, Xi’an 710000, ChinaThe fracturing technology has been gradually applied to the field of semi-rigid base, but the current fracturing technology evaluation means cannot achieve comprehensive and real-time evaluation. Therefore, this study introduces a method for the real-time evaluation of fractured semi-rigid pavements. Utilizing falling weight impact acceleration signals, this approach allows for immediate assessment of pavement conditions, addressing the critical challenge of evaluating and enhancing the recycling process of old asphalt bases. Through comprehensive theoretical analysis, indoor non-destructive experiments, and field validations, we demonstrate a significant correlation between impact signals and pavement resilience. This method achieves an identification accuracy of up to 90.90 %, showcasing its potential to significantly improve construction efficiency, reduce resource wastage, and extend pavement life. This technology promises to significantly enhance the quality and efficiency of semi-rigid base asphalt pavement recycling, effectively extending the lifespan of recycled pavements.http://www.sciencedirect.com/science/article/pii/S221450952500110XAsphalt pavementReal-time evaluationElastic collisionStructural health monitoringReflection cracking |
| spellingShingle | Mohan Zhao Yu Liu Xinnan Xu Yuhao Pei Chengmiao Zhang Chaofan Wu Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency Case Studies in Construction Materials Asphalt pavement Real-time evaluation Elastic collision Structural health monitoring Reflection cracking |
| title | Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency |
| title_full | Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency |
| title_fullStr | Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency |
| title_full_unstemmed | Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency |
| title_short | Advancements in asphalt pavement recycling: Integrating falling weight impact signals for enhanced rehabilitation efficiency |
| title_sort | advancements in asphalt pavement recycling integrating falling weight impact signals for enhanced rehabilitation efficiency |
| topic | Asphalt pavement Real-time evaluation Elastic collision Structural health monitoring Reflection cracking |
| url | http://www.sciencedirect.com/science/article/pii/S221450952500110X |
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