Effect of Sensor Error on the Assessment of Seismic Building Damage

Natural disasters affect structural health of buildings, thus directly impacting public safety. Continuous structural monitoring can be achieved by deploying an internet of things (IoT) network of distributed sensors in buildings to capture floor movement. These sensors can be used to compute the di...

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Bibliographic Details
Published inarXiv.org
Main Authors Ibrahim, Ahmed, Eltawil, Ahmed, Yunsu Na, El-Tawil, Sherif
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 18.07.2018
Subjects
Aseismic buildings
Collapse
Damage assessment
Displacement
Earthquake damage
Error analysis
Error detection
Floors
Impact damage
Internet of Things
Natural disasters
Occupancy
Public buildings
Public safety
Seismic activity
Sensors
Structural damage
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Summary:Natural disasters affect structural health of buildings, thus directly impacting public safety. Continuous structural monitoring can be achieved by deploying an internet of things (IoT) network of distributed sensors in buildings to capture floor movement. These sensors can be used to compute the displacements of each floor, which can then be employed to assess building damage after a seismic event. The peak relative floor displacement is computed, which is directly related to damage level according to government standards. With this information, the building inventory can be classified into immediate occupancy (IO), life safety (LS) or collapse prevention (CP) categories. In this work, we propose a zero velocity update (ZUPT) technique to minimize displacement estimation error. Theoretical derivation and experimental validation are presented. In addition, we investigate modeling sensor error and interstory drift ratio (IDR) distribution. Moreover, we discuss the impact of sensor error on the achieved building classification accuracy.
ISSN:2331-8422