A deep ensemble learning-driven method for the intelligent construction of structural hysteresis models
Accurate force–deformation hysteretic models for structures, components, and materials are
essential for structural analysis. The development of an explicit mathematical model for …
essential for structural analysis. The development of an explicit mathematical model for …
[HTML][HTML] From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems
Hysteresis is a natural phenomenon that widely exists in structural and mechanical systems.
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …
Hysteretic behavior simulation based on pyramid neural network: Principle, network architecture, case study and explanation
An accurate and efficient simulation of the hysteretic behavior of materials and components
is essential for structural analysis. The surrogate model based on neural networks shows …
is essential for structural analysis. The surrogate model based on neural networks shows …
Experimental characterization and modular modeling of hystereses for smart material actuators
In this article, we present a novel modular modeling approach to describe the hystereses for
piezoelectric, magnetostrictive and shape memory alloy (SMA) actuators. For the above …
piezoelectric, magnetostrictive and shape memory alloy (SMA) actuators. For the above …
A novel hysteresis modelling method with improved generalization capability for pneumatic artificial muscles
Y Zhang, J Gao, H Yang, L Hao - Smart materials and structures, 2019 - iopscience.iop.org
A pneumatic artificial muscle (PAM) consists mainly of an inner elastomeric bladder
surrounded by a braided shell. Due to the special geometric structure, PAMs are subject to …
surrounded by a braided shell. Due to the special geometric structure, PAMs are subject to …
Hysteresis simulation using least-squares support vector machine
M Farrokh - Journal of Engineering Mechanics, 2018 - ascelibrary.org
Hysteresis is a highly nonlinear phenomenon, which is observed in different branches of
sciences. The behavior of the hysteretic systems is usually controlled by some …
sciences. The behavior of the hysteretic systems is usually controlled by some …
Deep HystereticNet to predict hysteretic performance of RC columns against cyclic loading
This article attempts to reproduce hysteretic performance of HRB600 bar reinforced concrete
columns under cyclic loading by adopting multivariate deep learning methods. Bidirectional …
columns under cyclic loading by adopting multivariate deep learning methods. Bidirectional …
A novel piezoelectric hysteresis modeling method combining LSTM and NARX neural networks
G Wang, X Yao, J Cui, Y Yan, J Dai… - Modern Physics Letters …, 2020 - World Scientific
In order to study the hysteresis nonlinear characteristics of piezoelectric actuators, a novel
hybrid modeling method based on Long-Short-Term Memory (LSTM) and Nonlinear …
hybrid modeling method based on Long-Short-Term Memory (LSTM) and Nonlinear …
Response prediction of nonlinear hysteretic systems by deep neural networks
Nonlinear hysteretic systems are common in many engineering problems. The maximum
response estimation of a nonlinear hysteretic system under stochastic excitations is an …
response estimation of a nonlinear hysteretic system under stochastic excitations is an …
Advanced corrective training strategy for surrogating complex hysteretic behavior
Despite the advances in modeling component behavior, high-fidelity finite element
simulation remains challenging and is limited by the computational efficiency of large-scale …
simulation remains challenging and is limited by the computational efficiency of large-scale …