In-situ grouting rate prediction of semi-flexible pavement based on a novel composite dielectric constant model and ground-penetrating radar
Semi-flexible pavement (SFP) is characterized by injected cementitious grout within porous asphalt (PA) matrixes to improve anti-rutting performance. The grouting rate is a key factor to ensure longevity and performance of SFP that require precise and non-destructive in-situ measurements. No practical approach has been built in both literature and field applications. This research proposed an automatic method for determining the SFP grouting rate, namely the Leng-Wang-Sui (LWS) model, a novel SFP dielectric constant prediction model derived from electromagnetic (EM) mixing theory. The validity of the proposed method was substantiated through a sensitivity analysis, numerical simulations of meso-scale ground-penetrating radar (GPR)-SFP models, and laboratory tests. Results verify the method’s capability to accurately predict the in-situ grouting rate of SFP, demonstrating an average estimation error below 7 %. A practical workflow of using GPR in conjunction with the LWS model for on-site assessments of SFP grouting rate was recommended for real-world applications.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09500618
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Supplemental Notes:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Sui, Xin
- Leng, Zhen
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0000-0002-7797-1134
- Wang, Siqi
- Cai, Xing
- Gong, Minghui
- Zhang, Lei
- Publication Date: 2024-8-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 137209
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Serial:
- Construction and Building Materials
- Volume: 438
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0950-0618
- Serial URL: http://www.sciencedirect.com/science/journal/09500618?sdc=1
Subject/Index Terms
- TRT Terms: Field studies; Flexible pavements; Ground penetrating radar; Grouting; Predictive models; Sensitivity analysis
- Subject Areas: Highways; Materials; Pavements;
Filing Info
- Accession Number: 01924947
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 23 2024 5:41PM