Prediction of Axial Compressive Load–Strain Curves of Circular Concrete-Filled Steel Tube Columns Using Long Short-Term Memory Network

Prediction of Axial Compressive Load–Strain Curves of Circular Concrete-Filled Steel Tube Columns Using Long Short-Term Memory Network

No study has been reported to use machine learning methods to predict the full-range test curves of circular CFST columns. In this paper, the long short-term memory (LSTM) network was introduced to calculate the axially compressive load–strain curves of the circular CFST columns according to an expe...

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Bibliographic Details
Main Authors: Xinyu Fan, Fei Lyu, Jinglin Fan, Faxing Ding
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Materials
Subjects:
concrete-filled steel tubular stub columns
axial load–strain curve
machine learning
artificial neural network
long short-term memory network
machine-aided intelligent design
Online Access:https://www.mdpi.com/1996-1944/16/9/3285

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