32 citations · 85 across the 4 of their papers we have counts for
4 papers
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine
Zeynep Tuna Deger, Gulsen Taskin Kaya, John W Wallace
Machine learning is becoming increasingly prevalent for tackling challenges in earthquake engineering and providing fairly reliable and accurate predictions. However, it is mostly…
A Novel GPR-Based Prediction Model for Cylic Backbone Curves of Reinforced Concrete Shear Walls
Zeynep Tuna Deger, Gulsen Taskin Kaya
Backbone curves are used to characterize nonlinear responses of structural elements by simplifying the cyclic force-deformation relationships. Accurate modeling of cyclic behavior…
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls
Berkay Topaloglu, Gulsen Taskin Kaya, Fatih Sutcu +1
Current seismic design codes primarily rely on the strength and displacement capacity of structural members and do not account for the influence of the ground motion duration or th…
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls
Zeynep Tuna Deger, Gulsen Taskin Kaya
The recent surge in earthquake engineering is the use of machine learning methods to develop predictive models for structural behavior. Complex black-box models are typically used…