Machine learning algorithm hypothesis on smart gyroscopic tuned dampers for earthquake resistance buildings
Vishnu Prateek Kakaraparthi
The Research involves the hypothesis study of algorithms design for tuned mass dampers use in smart buildings for damping out earthquake and wind vibrations. Recent researches are done in the field of modifying tuned mass damper to improvise the reaction time and response range of the damper system. With the help of high end sensors an machine learning algorithm can be hypothesized that can help in developing self-learning damping system that utilizes the raw data from test vibration caused by wind loads and small scale earthquakes with well-defined and deeply studied vibration systems.
Vishnu Prateek Kakaraparthi. Machine learning algorithm hypothesis on smart gyroscopic tuned dampers for earthquake resistance buildings. International Journal of Multidisciplinary Research and Development, Volume 2, Issue 10, 2015, Pages 705-707