Radial basis function neural network algorithm for semi‐active control of base‐isolated structures

Krishnamoorthy, Agrahara and Bhat, Shubha and Bhasari, Dattatreya (2016) Radial basis function neural network algorithm for semi‐active control of base‐isolated structures. Structural Control and Health Monitoring. pp. 1-11.

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Curved surface slider (CSS) is considered as an effective isolation device forstructures subjected to earthquake ground motions. Due to constant frequency, CSS may encounter a resonance problem when subjected to near‐fault earthquakeground motions. To overcome this problem, we propose CSS combined with acontrol device in this study. The control device consists of variable orifice fluiddamper, and its damping coefficient is controlled by a radial basis function‐basedneural network algorithm. Numerical simulations are performed to evaluate the effectiveness of the proposed technique for only one‐directional horizontal seismicexcitations without any evaluation concerning the durability of CSSs. The results of the investigation demonstrate that the proposed technique is effective to reduceboth the base shear and the sliding displacement of the isolated structure. In addition, the response predicted by the proposed technique is almost similar to theresponse of isolated structure with passive damper at optimum damping ratio.

Item Type: Article
Uncontrolled Keywords: base isolation, control device, curved surface slider, radial basis function network,variable orifice fluid damper
Subjects: Engineering > MIT Manipal > Civil Engineering
Depositing User: MIT Library
Date Deposited: 23 Nov 2017 05:53
Last Modified: 23 Nov 2017 05:53
URI: http://eprints.manipal.edu/id/eprint/150044

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