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机构地区:[1]同济大学地下建筑与工程系,上海市200092 [2]同济大学岩土及地下工程教育部重点实验室,上海市200092
出 处:《勘察科学技术》2011年第3期6-12,共7页Site Investigation Science and Technology
基 金:上海市科学技术委员会科研计划项目(No.072112005)
摘 要:随着大量隧道建成投入使用,养护工作的重要性日益突出。如何正确的分析筛选相关大量监测数据的可靠性成为一个极具现实工程意义的课题。为了确保获得数据的真实有效性,需要确立一套相应的指导原则、分析方法对所获得的海量数据进行筛选,得到关系隧道结构安全的真实可用数据。该文以上海长江隧道为工程背景,对其运营半年后自动监测数据进行了统计分析筛选,得到了崇明越江隧道的中期沉降、土压力和钢筋应力等相关有效数据,确定了一套科学合理的实用数据评估思路为隧道养护服务。With large number of tunnels built and put into use,the importance of maintenance is increasingly prominent.It becomes a subject of great practical engineering significance that how to properly analyze and screen large number of monitoring data.In order to ensure the effectiveness of the data acquired,a set of corresponding guiding principles and analysis methods are supposed to be established to screen the massive data obtained and get the valuable data closely related to the structural safety of the tunnel.Using Shanghai Yangtze river tunnel as the engineering background,by statistically analyzing and screening the automatic monitoring data during its operation for about six months,a number of valid data,such as the medium term settlement data,soil pressure data and steel stress data,are obtained,and a set of scientific and rational assessment ideas for practical data are established for serving the tunnel maintenance.
分 类 号:U456.3[建筑科学—桥梁与隧道工程]
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