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首页> 外文期刊>Structural Control and Health Monitoring >The MIT Green Building benchmark problem for structural health monitoring of tall buildings
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The MIT Green Building benchmark problem for structural health monitoring of tall buildings

机译：MIT高层建筑结构健康监测的绿色建筑基准问题

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摘要

This paper presents a benchmark problem for the structural health monitoring community to study tall buildings. The benchmark building is called the Green Building located at the Massachusetts Institute of Technology campus, with 21 stories above the ground (83.7m) and a basement (3.8m) connecting to the Massachusetts Institute of Technology tunnel system. This building was constructed as cast-in-place reinforced concrete and instrumented with 36 accelerometers to measure the building translational, torsional and vertical responses. The benchmark problem includes the detailed description of this building, 7 field measurement data sets (4 ambient data sets, 1 data set under an unidentified event, 1 data set under the excitation of fireworks, and 1 earthquake data set), and finite element models (both full-scale and condensed models). The Green Building has an identifiable soil-structure interaction behavior and the base rocking movement brings significant components into the building response. To decouple the rocking effect, storey measurement condensation and rocking response determination are discussed in this paper. A blind source separation approach is finally applied to identify the modal characteristics and quantify the rocking components. The benchmark data and models are open to the public for algorithmic development and validation.
机译：本文提出了结构健康监测界研究高层建筑的基准问题。基准建筑称为绿色建筑，位于麻省理工学院校园内，地上21层（83.7m），地下室（3.8m）连接至麻省理工学院的隧道系统。该建筑采用现浇钢筋混凝土建造，并配备36个加速度计以测量建筑物的平移，扭转和垂直响应。基准问题包括对该建筑物的详细描述，7个现场测量数据集（4个环境数据集，1个未识别事件下的数据集，1个激发烟花的数据集和1个地震数据集）和有限元模型（包括全尺寸模型和精简模型）。绿色建筑具有可识别的土壤-结构相互作用行为，基础摇摆运动将重要成分带入建筑物响应中。为了消除摇摆效应，本文讨论了储层测量的凝结和摇摆响应的确定。最后，采用盲源分离方法来识别模态特征并量化摇摆分量。基准数据和模型向公众开放以进行算法开发和验证。

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