A dense network of strong motion measurement is significant for the earthquake hazard mitigation. To realize such a network, this paper proposes a strong motion measurement using video images recorded in security video cameras. Even though the accuracy is sacrificed to some extent, this measurement enables us to use video cameras as maintenance-free and simple apparatus which are installed in many buildings. The image analysis and the inversion are developed. Several tests were carried out to verify the validity of the methods, and it is shown that input acceleration can be fairly predicted from recorded video images.
In this study consists of the following two topics, one is the interpolation of the tunnel mouth temperatures using Semi-Variogram which is a stochastic procedure, and the other is the identification of the tunnel inner temperatures using actual observation data. In the former study, temperatures of tunnel mouth can be defined by a simple formula, and it is interpolated by Semi-Variogram. In the latter one, tunnel inner temperatures are identified by the observation data from several tunnels. And estimated temperatures are compared with some actual observation data. Finally, numerical examples are worked out to demonstrate the usefulness of this estimation method for heat insulator design of planning tunnel.
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