Pushover-ML: A Machine Learning approach to predict a trilinear approximation of pushover curves for low-rise reinforced concrete frame buildings

The seismic design of low-rise RC building frames often relies on elastic procedures, limiting the evaluation of nonlinear behavior due to practical constraints such as computational cost. While the research community has applied Machine Learning (ML) to predict the seismic response, existing tools...

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Bibliographic Details
Main Authors: Carlos Angarita, Carlos Montes, Orlando Arroyo
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711025000895
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