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.

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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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