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基于物联网的超高支撑体系施工中风致响应分析

Wind-induced Response Analysis of Ultra-high Support System During Construction Based on Internet of Things
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摘要 在我国基建日益发展的背景下,建筑结构形式趋向复杂,超高支撑体系在工地应用也日益广泛。但目前,针对超高模板支撑体系进行长期且有效的风致响应研究尚不充足,最普遍的测量法又存在诸多不便。因此,为研究在风荷载及上部施工荷载耦合作用下超高支撑体系安全性,以某工程中超高支模架为依托,利用物联网系统实时获取支模架偏移量变化情况。结果表明,超高支模架在耦合作用下偏移量存在明显波动,且暴露于风环境下的支模架偏移量明显大于未暴露的支模架。综上所述,该实测数据可为研究风荷载下超高支撑体系状态提供数据支撑。 Under the background of the increasing development of infrastructure in China,the form of building structure tends to be complex,and the ultra-high support system is also increasingly widely used in construction sites.However,at present,the long-term and effective research on wind-induced response of ultra-high support systems is insufficient,and the most common measurement method has many inconveniences.Therefore,in order to study the safety of ultra-high formwork support system under the coupling effect of wind load and upper construction load,relying on the ultra-high formwork support in a project,the Internet of Things system is used to obtain the change of formwork support offset in real time.The results show that the offset of the ultra-high formwork support has obvious fluctuation under the coupling action,and the offset of the formwork support exposed to the wind environment is significantly greater than that of the formwork support not exposed.In conclusion,the measured data can provide data support for studying the state of superelevation bracing system under wind load.
作者 蒋平平 冯凯 朱薇娜 何贤健 郏鸿韬 李强 JIANG Pingping;FENG Kai;ZHU Weina;HE Xianjian;JIA Hongtao;LI Qiang(Zhejiang Erjian Construction Group Co.,Ltd.,Ningbo,Zhejiang 315200,China;School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400074,China;School of Civil Engineering and Architecture,NingboTech University,Ningbo,Zhejiang 315100,China)
出处 《施工技术(中英文)》 CAS 2023年第2期95-99,共5页 Construction Technology
基金 国家自然科学基金(42207075) 浙江省自然科学基金(LQ20E080001) 宁波市公益性科技计划(2022S174) 宁波市自然科学基金(20221JCGY010691)。
关键词 物联网 超高支撑体系 风致响应 监测 Internet of Things ultra-high support system wind-induced response monitoring
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