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- Title
Integrity Monitoring of Vertical and Horizontal Structures via Visualization and Statistical Inspection of a Mesh Sensor Network.
- Authors
Lu, Ervin Lester G.; Garciano, Lessandro Estelito O.; Flores, Fritz Kevin S.; Peradilla, Marnel S.; Ong, Clement Y.; Azcarraga, Arnulfo P.
- Abstract
Studies have been conducted to understand how mild but frequent tremors affect the integrity of built structures. These have been done through the analysis of data gathered using tremor sensors. However, to be able to interpret the generated seismic graphs, current tools that are used to analyze such sensor data usually require in-depth knowledge of seismic data and expertise in structural engineering. Not only are the data difficult to interpret, the systems being used to gather and process these data also tend to be very expensive and rely on major seismic activities. This study presents a novel approach to monitoring and analyzing the structural integrity of buildings through the use of a mesh of sensors that are sensitive even to small movements of buildings. Data collected from these sensors are analyzed to identify specific areas of built structures that may have some structural defect. These identified anomalies may then be the subject of a more thorough investigation of the structure. Anomaly detection in the structures is done through the use of unsupervised machine learning techniques that estimate the expected movement readings of each areas as provided by the mesh of tremor sensors. By employing statistical tests, specifically the Kruskal-Wallis test based on the chi-square statistic, specific locations in a building are assessed as to whether there is likely to be a structural anomaly. Experiments were conducted using the actual 2013 earthquake from Bohol, Philippines, which were applied on simulated healthy and damaged buildings that were constructed using the ETABS simulation software.
- Subjects
PHILIPPINES; SENSOR networks; MESH networks; WIRELESS mesh networks; STRUCTURAL engineering; STRUCTURAL health monitoring; INTELLIGENT buildings
- Publication
Engineering Letters, 2022, Vol 30, Issue 2, p420
- ISSN
1816-093X
- Publication type
Article