工程地质学报2024，Vol.32Issue(1)：275-284,10.DOI:10.13544/j.cnki.jeg.2021-0723
基于物联网技术的PHC管桩加固湿软黄土地基自动化监测现场试验
FIELD TEST OF AUTOMATIC MONITORING OF PHC PILES FOR REIN-FORCEMENT OF WET AND SOFT LOESS FOUNDATION BASED ON IN-TERNET OF THINGS TECHNOLOGY
摘要
Abstract
Pre-stressed High-strength Concrete(PHC)piles,as a common method for treating wet and soft loess foundations,have stable and reliable quality.However,in the traditional PHC pipe pile construction process,the recording of the pipe pile penetration displacement has problems such as insufficient frequency and low efficiency,which fail to meet the expected monitoring effect of foundation treatment construction.In view of this,based on the basic framework and technology of the Internet of Things,relying on Gansu Anlin Expressway PHC piles to treat wet and soft loess foundations,a set of PHC pile construction quality automatic monitoring systems are designed,and self-developed monitoring devices are used for piles.During the construction process,the quality control index of the penetration displacement was monitored and tested on-site.The results show that the monitoring system can out-put the response of the penetration displacement of the piles into the soil layer with the number of hammer strokes in real time and feed back the information of the piles penetrating the bearing layer to the on-site construction work ar-ea in time.At the same time,the reliability of the monitoring system was verified with the help of geological radar and low-strain detection technology.The research results can provide certain technical support for the intelligent col-lection of penetration information of PHC piles during the construction process.关键词
PHC管桩/物联网技术/湿软黄土地基/贯入位移/现场试验Key words
PHC piles/The internet of things technology/Wet and soft loess foundation/Penetration/Field test分类
建筑与水利引用本文复制引用
熊琦,晏长根,蒋超,王雅馨,薛志佳..基于物联网技术的PHC管桩加固湿软黄土地基自动化监测现场试验[J].工程地质学报,2024,32(1):275-284,10.基金项目
国家自然科学基金项目(资助号:41902280,42077265),陕西省高校科协青年人才托举计划项目(资助号:20210422),甘肃省交通运输厅科技项目(资助号:2022-15).This research is supported by the National Natural Science Foundation of China(Grant Nos.41902280,42077265),Shaanxi Provincial Association for Science and Technology Young Talents Support Program Project(Grant No.20210422)and Science and Technology Project of Gansu Provincial Department of Transpotation(Grant No.2022-15). （资助号:41902280,42077265）
