沧州铁狮子结构健康监测系统研究及测试试验
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(1.哈尔滨工业大学土木工程学院,黑龙江哈尔滨 150090;2. 中国文化遗产研究院,北京 100029)

作者简介:

范 峰(1971—),男,教授,博士生导师, E mail:fanf@hit.edu.cn

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“十一五”国家科技支撑计划资助(2006BAK20B03)


Structural health monitoring system and test experiments for Cangzhou Iron Lion
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(1.School of Civil Engineering,Harbin Institute of Technology,Harbin 150090,China;2.Chinese Academy of Cultural Heritage,Beijing 100029,China.)

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    摘要:

    沧州铁狮子结构健康监测的研究为我国室外大型铁质文物的保护起到了示范作用。针对文物本体保护原则和铁狮子特有的结构形式,提出了健康监测系统的设计指导思想,构造了系统的总体框架,深入研究了传感器与数据采集子系统,对传感器进行选型,优化配置数据采集硬件系统并运用LabVIEW开发了专用的数据采集系统软件;开发了数据管理子系统,运用SQL Server建立中心数据库,运用Delphi设计了数据管理的用户操作界面,开发了相应的数据处理分析程序;运用MATLAB开发了基于ANSYS的铁狮子结构专用有限元分析模块,并初步探讨了结构的安全评定方法;通过Delphi软件建立系统集成平台,统一协调沧州铁狮子健康监测各子系统共同运行,编制了包括结构分析软件ANSYS、MATLAB等在内的所有相应接口程序。在以上研究成果的基础上,进行了沧州铁狮子结构健康监测试验,试验验证了该系统的可靠性,结果表明试验监测数据能够反映结构基本性能。

    Abstract:

    The structural health monitoring system for Cangzhou Iron Lion has set an example for the protection of large outdoor cultural relics.The general guidelines of the structural health monitoring system were proposed and framed based on the Cangzhou Iron Lion's structural features and particular protection principles.Sensors and data acquisition system were carefully studied,the lectotype and optimal locations of sensors were selected;the optimum hardware system for data acquisition was allocated and a special software system was developed by LabVIEW.The data management system was exploited using a central database built by SQL Server and the human computer interfaces designed by Delphi.A corresponding data analysis program was also developed.A special FE analysis module based on ANSYS was developed by MATLAB.Preliminary structural safety assessment values were discussed.The system integration platform was set up by Delphi,which coordinates different subsystems of the health monitoring system cooperate smoothly,all relevant interface programs were compiled with ANSYS,MATLAB,etc.Finally,the test experiments of Cangzhou Iron Lion structural health monitoring system were carried out to prove its reliability.The results show that data can reflect basic structural performances.

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  • 在线发布日期: 2019-07-16
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