Enhancing the Stability of Tall Building’s and Bridges with Dampers by Artificial Neural Networks.
Keywords:
Structural Stability, Soft Computing, Dampers, Artificial Neural Networks, Tall Buildings, BridgesAbstract
The increasing height of buildings and the long spans of bridges make them highly susceptible to vibrationscaused by wind loads, seismic activity, and other dynamic forces. To address these challenges, structural controlsystems such as dampers (Tuned Mass Dampers, Viscous Dampers, etc.) have been widely adopted. However,optimizing
References
ROBERT J. MCNAMARA AND DOUGLAS P. TAYLOR, “FLUID VISCOUS DAMPERS FOR HIGH-RISE BUILDINGS”, Wiley Inter Science
(www.interscience.wiley.com). DOI:10.1002/tal.218, May 2002.
Samuele Infanti, Jamieson Robinson, Rob Smith, “VISCOUS DAMPERS FOR HIGH-RISE BUILDINGS”, the 14th World Conference on Earthquake Engineering October 12-17, 2008, Beijing, China
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Published
2024-08-01
How to Cite
Dhiraj Gunwantrao Wankhede,Dr. Akshit Lamba,Dr. Anant G. Kulkarni. (2024). Enhancing the Stability of Tall Building’s and Bridges with Dampers by Artificial Neural Networks . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1746–1755. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2656
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