同济大学学报（自然科学版）2024，Vol.52Issue(3)：388-397,10.DOI:10.11908/j.issn.0253-374x.22338
路基智能压实评价指标研究进展综述
A Review of Research Progress on Intelligent Compaction Measurement Values for Subgrade
摘要
Abstract
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.关键词
路基工程/智能压实/评价指标/研究综述Key words
subgrade engineering/intelligent compaction/evaluation indicator/research review分类
交通工程引用本文复制引用
钱劲松,庞劲松,费伦林,郑晓光..路基智能压实评价指标研究进展综述[J].同济大学学报（自然科学版）,2024,52(3):388-397,10.基金项目
江西省交通运输厅科技项目(2020C0002) （2020C0002）
云南省重点研发计划(202303AA080016) （202303AA080016）
河北省交通运输科技项目(TH201901) （TH201901）
