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Machine learning-enhanced metaheuristic optimization of lead rubber bearings for inter-story isolated buildings under seismic load | Synapse
March 3, 2026
Machine learning-enhanced metaheuristic optimization of lead rubber bearings for inter-story isolated buildings under seismic load
SG
Sukamal Kanta Ghosh
IK
Indrajeet Kashyap
DD
Diptesh Das
National Institute of Technology Durgapur
Key Points
Machine learning enhances the performance of lead rubber bearings, improving safety during earthquakes.
The optimization process involves metaheuristic approaches to achieve better results with seismic load conditions.
This observational analysis focuses on inter-story isolated buildings, highlighting structural integrity during severe seismic events.
Findings suggest that integration of advanced optimization techniques may significantly enhance the resilience of buildings during earthquakes.
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Ghosh et al. (Wed,) studied this question.
synapsesocial.com/papers/69a76003c6e9836116a2c6c0
https://doi.org/https://doi.org/10.1007/s11709-026-1275-y
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