Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure

Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure

Bridges are critical infrastructure, and their vulnerability to seismic events necessitates efficient methods for predicting structural responses. Traditional methods, such as Nonlinear Time History Analysis (NLTHA), are computationally intensive, time-consuming, and require an expert analyst. Addit...

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Bibliographic Details
Main Authors: Hanzlah Akhlaq, Tianbo Peng, Kawsu Jitteh, Muhammad Salman Khan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
novel isolation bearing
seismic performance
two-stage friction pendulum bearing
seismic isolation
Online Access:https://ieeexplore.ieee.org/document/11037442/
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