摘要
深基坑的设计理念主要以“变形控制”为主,综合前人的研究成果,将深基坑开挖变形研究分为2类:深基坑开挖平面变形研究和三维变形研究。在深基坑开挖平面变形研究的模式下,回顾了地表沉降模式、地表沉降影响范围以及基坑支护变形,并对具有代表性的工程实测数据进行了归纳总结;在深基坑开挖三维变形研究的模式下,对土体本构模型和数值模拟进行了总结分析;介绍了深基坑智能监测发展趋势,对机器学习在深基坑变形预测和稳定性评估方面的不同算法模型的性能进行了分析。通过理论分析、工程实测、数值模拟、智能监测以及机器学习5个方面,对深基坑开挖变形进行了综述。可以看出,深基坑变形研究需要多方法并举、多领域贯通、多学科相互配合,旨在构建智能一体化云监测分析预警平台,保障深基坑工程的施工安全,为今后智慧工地和智能建造的发展提供可靠的支持。
The design concept of deep foundation pit is mainly based on"deformation control".Based on the previous research results,the research on deep foundation pit excavation deformation is divided into two categories:plane deformation research and three-dimensional deformation research.In the mode of deep foundation excavation plane deformation research,the surface settlement pattern,surface settlement influence range and foundation support deformation are reviewed and the representative engineering measured data are summarized;in the mode of deep foundation excavation three-dimensional deformation research,the soil ontology model and numerical simulation are summarized and analyzed;the development trend of deep foundation pit intelligent monitoring is introduced and the performance of different algorithm models of machine learning in deep foundation pit deformation prediction and stability assessment is analyzed.Through theoretical analysis,engineering measurement,numerical simulation,intelligent monitoring,and machine learning,the deformation of deep foundation pit excavation is summarized.It can be seen that the deformation research of deep foundation pits needs multiple methods,multi fields,and multi disciplines to cooperate,aiming to build an intelligent integrated cloud monitoring and analysis early warning platform to guarantee the construction safety of deep foundation pit projects and provide reliable support for future researchers in the development of smart sites and intelligent construction.
作者
杨帅帅
白羽
缪易辰
张钊
YANG Shuaishuai;BAI Yu;MIAO Yichen;ZHANG Zhao(Faculty of Civil Engineering and Mechanics,Kunming University of Science and Technology,Kunming Yunnan 650500,China;不详)
出处
《工业安全与环保》
2023年第1期37-42,共6页
Industrial Safety and Environmental Protection
基金
国家重点研发计划项目(2020YFD1100703-04)
云南省科技厅重点研发计划项目(202003AC100001)。
关键词
深基坑
支护变形
地表沉降
智能监测
机器学习
deep foundation pit
support deformation
ground surface settlement
intelligent monitoring
machine learning
