A state-of-the-art review of intelligent compaction measurement values (ICMVs) for subgrade and pavement: Advances and challenges

路基 压实 耐久性 岩土工程 使用寿命 过程(计算) 质量(理念) 理论(学习稳定性) 工程类 土木工程 可靠性工程 计算机科学 机器学习 哲学 认识论 数据库 操作系统
作者
Yu Zhu,Bei Jiang,Feng Chen,Tao Ma,Yuan Ma,Zhou Fang
出处
期刊:Construction and Building Materials [Elsevier]
卷期号:438: 137174-137174
标识
DOI:10.1016/j.conbuildmat.2024.137174
摘要

Compaction construction is one of the most critical factors affecting road performance and durability. To improve the construction quality and service life of road, intelligent compaction (IC) technology has received continuous attention. In contrast to traditional compaction construction, IC improves the compaction quality and uniformity of each road layer through real-time monitoring and adjustment of the compaction process. Intelligent compaction measurement values (ICMVs) were proposed to provide quantitative indexes for compaction quality monitoring and basis for dynamic regulation of compaction conditions. However, the current ICMVs have problems such as low accuracy and stability, and poor applicability under different working conditions, which limit the application of IC technology. To address these shortcomings, this paper conducts a state-of-the-art review of ICMVs, outlining the past research achievements and discussing future development directions. In this paper, the vibrating dynamical models of compaction was firstly summarized and the future research directions are proposed. Next, the existing calculation models of ICMVs are systematically investigated and the significant factors that affected ICVMs calculations are summarized. Solutions to eliminating influences from those factors are discussed in further, e.g., by a combined effort in improving calculations models for ICMVs and advancing the multiple regression analysis method.

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