A deep ensemble learning-driven method for the intelligent construction of structural hysteresis models

Y Gu, X Lu, Y Xu - Computers & Structures, 2023 - Elsevier
Accurate force–deformation hysteretic models for structures, components, and materials are
essential for structural analysis. The development of an explicit mathematical model for …

[HTML][HTML] Hybrid data-driven and physics-based simulation technique for seismic analysis of steel structural systems

F Mokhtari, A Imanpour - Computers & Structures, 2024 - Elsevier
This paper proposes 1) a new hybrid analysis technique by integrating a data-driven method
with a physics-based technique to perform nonlinear analysis of steel structural systems …

[HTML][HTML] Feed-forward controlling of servo-hydraulic actuators utilizing a least-squares support-vector machine

AH Sharghi, R Karami Mohammadi, M Farrokh… - Actuators, 2020 - mdpi.com
Feed-forward control of hysteretic systems is a challenging task due to the hysteresis
nonlinearity. Hysteresis models are utilized not only for identification, but also for hysteresis …

Data-driven substructuring technique for pseudo-dynamic hybrid simulation of steel braced frames

F Mokhtari, A Imanpour - International Conference on the Behaviour of …, 2022 - Springer
This paper proposes a new substructuring technique for hybrid simulation of steel braced
frame structures under seismic loading in which a new machine learning-based model is …

Data-driven Frameworks for Hybrid Analysis of Structures Under Seismic Loading

F Mokhtari Dizaji - 2022 - era.library.ualberta.ca
Numerical simulation and hybrid simulation are extensively used in earthquake engineering
to evaluate the seismic response of structures under seismic loading. Despite the advances …