Abstract

Inspired by evolutionary game theory, the biological game of replicator dynamics is investigated for vibration control of bridge structures subjected to earthquake excitations. Replicator dynamics can be interpreted economically as a model of imitation of successful individuals. This paper uses replicator dynamics to reduce vibrations while optimally allocating the control device forces. The control algorithm proposed is integrated with a patented neural dynamic optimization algorithm to find optimal growth rate values with the goal of achieving satisfactory structural performance with minimum energy consumption. A model is described for hybrid vibration control of smart highway bridge structures subjected to earthquake loading.

Document Type

Conference Proceeding

Publication Date

3-15-2018

Notes/Citation Information

Published in Proceedings of SPIE, v. 10595, Active and Passive Smart Structures and Integrated Systems XII, article 1059511, p. 1-13.

© 2018 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.

Mariantonieta Gutierrez Soto, "Bio-inspired hybrid vibration control methodology for intelligent isolated bridge structures," Proc. SPIE 10595, Active and Passive Smart Structures and Integrated Systems XII, 1059511 (March 15, 2018). DOI: https://doi.org/10.1117/12.2300393

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Digital Object Identifier (DOI)

https://doi.org/10.1117/12.2300393

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