Stochastic System Identification in Structural Dynamicsby Erdal Şafak, US Geological Survey, United States,
Abstract: Recently, new identification methods have been developed by using the concept of optimal-recursive filtering and stochastic approximation. These methods, known as stochastic identification, are based on the statistical properties of the signal and noise, and do not require the assumptions of current methods. The criterion for stochastic system identification is that the difference between the recorded output and the output from the identified system (i.e., the residual of the identification) should be equal to white noise. In this paper, first a brief review of the theory is given. Then, an application of the method is presented by using ambient vibration data from a nine-story building.
Subject Headings: Stochastic processes | Structural systems | Approximation methods | Structural dynamics | Dynamic structural analysis | Filters | Statistics | Construction methods
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