A scaling-based generalizable integrated ML-mechanics model for lateral response of self-centering walls

This publication has 61 references indexed in Scilit:

• No more black-boxes: estimate deformation capacity of non-ductile RC shear walls based on generalized additive models
  Bulletin of Earthquake Engineering, 2024
• A multi‐level approach to predict the seismic response of rigid rocking structures using artificial neural networks
  Earthquake Engineering & Structural Dynamics, 2024
• A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms
  Neural Computing and Applications, 2024
• Machine learning-based predictive models for equivalent damping ratio of RC shear walls
  Bulletin of Earthquake Engineering, 2022
• Evaluating the efficiency of supplementary rebar system in improving hysteretic damping of self-centering rocking walls
  Bulletin of Earthquake Engineering, 2022
• Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls
  Neural Computing and Applications, 2022
• The response of self-centering concrete walls under quasi-static loading
  Bulletin of Earthquake Engineering, 2021
• Novel hybrid machine leaning model for predicting shear strength of reinforced concrete shear walls
  Engineering with Computers, 2021
• Prediction of shear strength for squat RC walls using a hybrid ANN–PSO model
  Engineering with Computers, 2017
• Seismic behavior of self-centering reinforced concrete wall enabled by superelastic shape memory alloy bars
  Bulletin of Earthquake Engineering, 2017