Monitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shake

Tecnia Pub Date : 2022-08-08 DOI:10.21754/tecnia.v32i2.1412
Armando Israel Sifuentes Jiménez, Mary Criss Suarez Antunez, Lucio Eduardo Estacio Flores
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Abstract

Lima, the capital of Peru, has not suffered from a great earthquake since 1746, making this a prone Mw 8.8 earthquake area according to seismological studies. In this context, seismic structural health monitoring presents an opportunity to assess rapidly buildings after a great earthquake and protect inhabitant from those buildings with high risk of collapse due to aftershocks. A basic seismic structural health monitoring arrangement of a fifteenth-floor residential building is presented using a low-cost sensor called Raspberry Shake 4D. The implemented sensor incorporates both a vertical velocity geophone and three orthogonally positioned microelectromechanical systems accelerometers. The building is a reinforced concrete shear walls structure located in Comas, north of Lima. More than thirty seismic events have been recorded, including the Mw 8.0 Lagunas earthquake (05/26/2019) and the Mw 5.8 (22/06/2021) with epicentral distances of 709 km and 94 km, respectively. Acceleration as high as 150 cm/s2 and as low as 2 cm/s2 have been recorded. It was possible to obtain fundamental frequencies of vibration in longitudinal and transversal directions of the building from the response calculated using the wavelet transform that have a good agreement with results of microtremor measurements performed at different floors. The computed scalograms for seismic records showed important values of energy amplitudes for the fundamental frequencies of the building. Finally, theoretical fundamental frequencies were obtained from a 3D finite element model and an elastic analysis.
使用4D Raspberry震动传感器监测秘鲁利马钢筋混凝土剪力墙住宅楼的结构健康
秘鲁首都利马自1746年以来从未发生过大地震,根据地震学研究,这是一个容易发生8.8级地震的地区。在这种情况下,地震结构健康监测提供了一个机会,可以在大地震后快速评估建筑物,并保护居民免受因余震而倒塌的高风险建筑物的影响。使用一种名为树莓奶昔4D的低成本传感器,介绍了一栋15层住宅楼的基本地震结构健康监测布置。所实现的传感器包括一个垂直速度检波器和三个正交定位的微机电系统加速度计。该建筑为钢筋混凝土剪力墙结构,位于利马北部的科玛斯。已经记录了30多起地震事件,包括拉古纳斯8.0级地震(2019年5月26日)和5.8级地震(2021年6月22日),震中距离分别为709公里和94公里。已记录到高达150 cm/s2和低至2 cm/s2的加速度。根据使用小波变换计算的响应,可以获得建筑物纵向和横向上的振动基频,该响应与在不同楼层进行的微动测量结果具有良好的一致性。地震记录的计算比例图显示了建筑物基频的重要能量振幅值。最后,从三维有限元模型和弹性分析中获得了理论基频。
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