A review on computational intelligence for identification of nonlinear dynamical systems
This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
[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 …
Nonlinear model updating through a hierarchical Bayesian modeling framework
A new time-domain probabilistic technique based on hierarchical Bayesian modeling (HBM)
framework is proposed for calibration and uncertainty quantification of hysteretic type …
framework is proposed for calibration and uncertainty quantification of hysteretic type …
Deep learning based seismic response prediction of hysteretic systems having degradation and pinching
The response of a hysteretic system is determined not only by the instantaneous external
force but also by the loading history; thereby, a nonlinear time history analysis is needed for …
force but also by the loading history; thereby, a nonlinear time history analysis is needed for …
Experimental behavior of beam-column joints made with EAF concrete under cyclic loading
This paper presents the results of an experimental campaign carried on exterior beam-
column joints made with recycled concrete, containing Electric Arc Furnace (EAF) slag as full …
column joints made with recycled concrete, containing Electric Arc Furnace (EAF) slag as full …
Parameter identification of degrading and pinched hysteretic systems using a modified Bouc–Wen model
M Pelliciari, GC Marano, T Cuoghi… - Structure and …, 2018 - Taylor & Francis
Abstract The Bouc–Wen (BW) model is a successful differential equations model used to
describe a wide range of nonlinear hysteretic systems. However, it is unable to describe …
describe a wide range of nonlinear hysteretic systems. However, it is unable to describe …
Phenomenological hysteretic model for corroded RC columns
A phenomenological hysteretic model is developed for corroded RC columns in this study.
To this end, the test data of 77 corroded rectangular RC columns and 26 uncorroded ones …
To this end, the test data of 77 corroded rectangular RC columns and 26 uncorroded ones …
Development and validation of new Bouc–Wen data-driven hysteresis model for masonry infilled RC frames
During the last years, several mechanics-based macromodels have been proposed to
assess the cyclic response of infilled RC frames. However, the uncertainties behind the …
assess the cyclic response of infilled RC frames. However, the uncertainties behind the …
A deep learning-based approach for the identification of a multi-parameter BWBN model
Z Li, M Noori, C Wan, B Yu, B Wang, WA Altabey - Applied Sciences, 2022 - mdpi.com
A restoring-force model is a versatile mathematical model that can describe the relationship
between the restoring force and the deformation obtained from a large number of …
between the restoring force and the deformation obtained from a large number of …
Parameter identification and dynamic response analysis of a modified Prandtl–Ishlinskii asymmetric hysteresis model via least-mean square algorithm and particle …
Hysteresis is a nonlinear phenomenon observed in the dynamic response behavior of
numerous structural systems under high intensity cyclic or random loading, as well as in …
numerous structural systems under high intensity cyclic or random loading, as well as in …