Prediction of Acceleration Amplification Ratio of Rocking Foundations Using Machine Learning and Deep Learning Models

Prediction of Acceleration Amplification Ratio of Rocking Foundations Using Machine Learning and Deep Learning Models

Experimental results reveal that rocking shallow foundations reduce earthquake-induced force and flexural displacement demands transmitted to structures and can be used as an effective geotechnical seismic isolation mechanism. This paper presents data-driven predictive models for maximum acceleratio...

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Bibliographic Details
Main Author: Sivapalan Gajan
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
geotechnical engineering
rocking foundations
earthquake engineering
soil-structure interaction
artificial neural network
machine learning
Online Access:https://www.mdpi.com/2076-3417/13/23/12791

Internet

https://www.mdpi.com/2076-3417/13/23/12791

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