A Review of Research Progress on Intelligent Compaction Measurement Values for Subgrade

被引：0
|
作者：
Qian J. [1 ,2 ]
Pang J. [1 ,2 ]
Fei L. [3 ]
Zheng X. [4 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering, the Ministry of Education, Tongji University, Shanghai
[2] Key Laboratory of Durability and Operation Safety of Civil Aviation Flight Area Facilities, Tongji University, Shanghai
[3] Jiangxi Provincial Expressway Investment Group Co. ，Ltd., Jiangxi, Nanchang
[4] Shanghai Municipal Engineering Design Institute （Group） Co.， Ltd., Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2024年 / 52卷 / 03期
关键词：
evaluation indicator; intelligent compaction; research review; subgrade engineering;
D O I：
10.11908/j.issn.0253-374x.22338
中图分类号：
学科分类号：
摘要：
The major achievements of intelligent compaction measurement value （ICMV） are systematically summarized in this paper. The following contents of ICMV are discussed：development history，calculation mechanisms，advantages and disadvantages，filler applicability and influencing factors between ICMV and in-situ test values. The analysis indicates that there are the matching mechanisms between ICMV and subgrade materials and ICMV should be selected according to these mechanisms to improve the detection effect. During the fitting analysis，the types of subgrade ICMV and in-situ measurement values should be considered comprehensively to determine the influencing factors，so as to avoid the redundancy or the loss of regression features. Since some features have nonlinear effects on labels，it is not recommended to use linear models to predict the labels of intelligent compacted data. In view of the above problems，specific suggestions，including matching relationship between ICMV and materials，the importance of influence factors and the selection strategies of regression algorithms， are presented here in order to serve as references for the future research and application of ICMV. © 2024 Science Press. All rights reserved.
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页码：388 / 397
页数：9
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