8th European Workshop On Structural Health Monitoring (EWSHM 2016)
5-8 July 2016, Spain, Bilbao
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Design strategy of structural health monitoring system consisting of four sensors for tall buildings
Abstract »The number of structural health monitoring (SHM) systems installed into tall buildings is gradually increasing in Japan. When the 2011 off the Pacific coast of Tohoku Earthquake occurred, a system installed in a tall building in the center of Tokyo kept telling the real time behavior of the building and the maximum deformation of the structural frame in the form of story drift angles. The distribution of maximum acceleration floor response and the seismic intensity were also provided. As the safety of the building was immediately confirmed, no evacuation of residents was needed in this building. In addition, resumption of elevators that stopped due to the earthquake was very quick. The city of Tokyo made a guideline for large buildings nearby busy stations to check if the buildings are safe or not within 3 hours after the earthquake. The SHM system is now understood to be the very useful tool to satisfy this requirement. Considering this situation, a pilot project for the west area of Shinjuku Station started with the support of the Japan Science and Technology Agency in October 2013 lead by one of authors. The project aimed at promoting SHM systems and studying how to determine the safety or danger of the buildings to know if the buildings can be used as shelters or not. Six tall and large buildings located in the west area of Shinjuku Station were selected as pilot buildings. In this project, the standard number of sensors installed into the pilot buildings is four. The sensor location was determined so that the spacing of the sensors are nealy equal. However, there is no guarantee if this placement is the best choice. In this paper, we show the strategy of designing the placement of sensors for SHM system consisting of four sensors. The optimal sensor placement was defined as the placement that provides the most accurate story drift angles. The error associated with the four sensor system is also discussed. We found that the optimal location was dependent on the nature of earthquakes such as near field or far field. We could confirm that the four sensors were good enough in estimation of story drift angle if accurate mode shape information is available.
AuthorsMita, Akira*Mita, Akira*
Akira Mita is the Professor of the Department of System Design Engineering at Keio University. He obtained B.S. from Tohoku University, M.S. from Kyoto University and Ph.D. from the University of California at San Diego. His research interests include sensor network, system identification, and structural health monitoring. He recently proposed a new concept called “Biofied Building.” He founded the Asia-Pacific Workshop on Structural Health Monitoring.
Department of System Design Engineering
+81 45-566-1776Hirai, KentaHirai, Kenta
JapanOzawa, SayukiOzawa, Sayuki