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.
| Original language | English |
|---|---|
| Title of host publication | Active and Passive Smart Structures and Integrated Systems XII |
| Editors | Jae-Hung Han, Alper Erturk |
| ISBN (Electronic) | 9781510616868 |
| DOIs | |
| State | Published - 2018 |
| Event | Active and Passive Smart Structures and Integrated Systems XII 2018 - Denver, United States Duration: Mar 5 2018 → Mar 8 2018 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 10595 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Active and Passive Smart Structures and Integrated Systems XII 2018 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 3/5/18 → 3/8/18 |
Bibliographical note
Publisher Copyright:© 2018 SPIE.
Keywords
- Game theory
- bio-inspired
- bridge
- earthquake
- replicator dynamics
- smart structures
- vibration control
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
