AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (16.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Roller-integrated compaction monitoring and assessment of high and low liquid limit silt subgrades using the Green spline interpolation algorithm

Yuchen YanaYanwen ZhuaXian YangaLan QiaoaChuping WubZaizhan AncQinglong Zhanga( )Ren LiubWang Guob
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Hunan International Communications Economic Engineering Cooperation Co., Ltd., Changsha 410004, China
China Renewable Energy Engineering Institute, Beijing 100120, China
Show Author Information

Abstract

Compaction quality plays a vital role in the long-term performance of highways, thereby making quality control (QC) of compaction an essential aspect in highway projects. The prevalent approach regarding QC of compaction primarily depends on manual manipulation of compaction parameters during the construction process and sporadic testing after completion. However, the former method is significantly affected by human factors, whereas the latter entails destructive detection and low efficiency; the latter method also fails to provide a comprehensive representation of the state of compaction across the entire work area of highway projects. Consequently, to achieve QC of compaction, this study used roller-integrated compaction monitoring (RICM) technology combined with the real-time kinematic–Beidou navigation satellite system (RTK–BDS). Initially, the compaction meter value (CMV) and compaction power per unit volume (E) were chosen as the real-time monitoring indexes for assessing the quality of compaction. Subsequently, a case study on the Hengyong Highway Project in China was conducted. The findings revealed that CMV exhibited a stronger correlation with compactness, resulting in smaller data dispersion and higher data stability. Thus, this study chose CMV as the characterization index of the compaction quality of high and low liquid limit (ωL) silt subgrades and constructed a fast compaction quality assessment method based on CMV and the spline interpolation method based on Green’s function to obtain estimates for compaction quality over the entire work area, enabling QC of silt subgrades. The results showed that the proposed method facilitated a swift and uninterrupted evaluation of the compaction quality over the entire construction area. Thus, the proposed method can facilitate the effective prevention of compaction quality defects, thus enhancing the overall quality of highways.

References

【1】
【1】
 
 
Journal of Intelligent Construction
Article number: 9180024

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Yan Y, Zhu Y, Yang X, et al. Roller-integrated compaction monitoring and assessment of high and low liquid limit silt subgrades using the Green spline interpolation algorithm. Journal of Intelligent Construction, 2024, 2(3): 9180024. https://doi.org/10.26599/JIC.2024.9180024

2505

Views

453

Downloads

0

Crossref

1

Scopus

Received: 10 December 2023
Revised: 11 February 2024
Accepted: 28 February 2024
Published: 20 June 2024
© The Author(s) 2024. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.