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Phase IIASC-ASCE structural health monitoring benchmark problem using simulated data

机译:IIASC-ASCE期结构健康监测基准问题,使用模拟数据

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摘要

Structural health monitoring (SHM) is a promising field with widespread application in civil engineering. Structural health monitoring has the potential to make structures safer by observing both long-term structural changes and immediate postdisaster damage. However, the many SHM studies in the literature apply different monitoring methods to different structures, making side-by-side comparison of the methods difficult. This paper details the first phase in a benchmark SHM problem organized under the auspices of the IASC-ASCE Structural Health Monitoring Task Group. The scale-model structure adopted for use in this benchmark problem is described. Then, two analytical models based on the structure-one a 12 degree of freedom (DOF) shear-building model, the other a 120-DOF model, both finite element based-are given. The damage patterns to be identified are listed as well as the types and number of sensors, magnitude of sensor noise, and so forth. MATLAB computer codes to generate the response data for the various cases are explained. The codes, as well as details of the ongoing Task Group activities, are available on the Task Group web site at (http://wusceel.cive.wustl.edu/asce.shm/).
机译:结构健康监测(SHM)是一个有前途的领域,已在土木工程中得到广泛应用。结构健康监测有可能通过观察长期结构变化和灾后立即破坏来使结构更安全。但是,文献中的许多SHM研究将不同的监视方法应用于不同的结构,从而使方法的并行比较变得困难。本文详细介绍了在IASC-ASCE结构健康监测任务组的主持下组织的基准SHM问题的第一阶段。描述了用于此基准问题的比例模型结构。然后,给出了基于结构的两个分析模型-一个是12自由度(DOF)剪切构建模型,另一个是120-DOF模型,均基于有限元。列出了要识别的损坏模式以及传感器的类型和数量,传感器噪声的大小等。说明了用于生成各种情况下的响应数据的MATLAB计算机代码。这些代码以及正在进行的任务组活动的详细信息可以在任务组网站(http://wusceel.cive.wustl.edu/asce.shm/)上找到。

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