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VolF11Šª
”NF 2002”N
•ÅF 1995-1998•Å
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ŒfÚŽGŽi‰pjF THE EARTHQUAKE ENGINEERING SYMPOSIUM PROCEEDINGS
’˜ŽÒi‰pjF Qiang XIE, Songtao XUE, Masayoshi NAKASHIMA
ƒ^ƒCƒgƒ‹i‰pjF OPTIMAL SENSOR PLACEMENT FOR BUILDING STRUSTURAL DAMAGE ASSESSMENT
´˜^i‰pjF Following the construction of more and more high buildings, it is imperative to assess damage of the structures after catastrophic events, such as earthquake, typhoon and explosion. For this purpose, sometimes sensors are necessary to be put or buried at or in the structures. The problems then become how to determine the necessary number of the sensors and the optimal locations of the sensors. This paper is to present a new method for searching optimal number and locations of sensors for building damage detection. Considering the mass and stiffness distribution characteristic of building structure, the hybrid methodology using both model reduction and singular value decomposition is put forward. First, according to the chosen master and slave degree of freedom, a model reduction method named improved reduced system is used to reduce the DOFs of the original model. Then, based on linear model estimation, the target modes are treated as design matrix of linear model and singular value decomposition is used to decompose the target modes. The first several left singular vectors of the decomposed matrix are used to calculate contribution of each sensor candidate. Iterative method is used to choose the last set of sensor locations, which clearly shows that the hybrid method is applicable to building structures.
ƒL[ƒ[ƒhi‰pjF Structural Health Monitoring, Modal Test, Optimal Sensor Location, Singular Value Decomposition, Model Reduction, Hybrid Algorithm
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