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 …

An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …

This paper presents a novel computational approach to empirical hysteresis modelling
applied to timber-based structures based on a combined data model-driven strategy. While …

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 …

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 …

Concrete columns are the most important load-bearing components in civil structures. The
potential damage in reinforced concrete (RC) columns could be categorized into three …

Bayesian model updating techniques are becoming the standard tool for the identification of
nonlinear dynamical systems, because unlike other identification schemes which compute …

To evaluate the seismic performance of existing old reinforced concrete (RC) buildings, it is
important to use an accurate analytical model. Most columns in these buildings do not satisfy …

This paper presents a new high-fidelity phenomenological-based hysteretic model called
ASPID that includes asymmetry, pinching, and strength/stiffness degradation for timber …

In order to ensure the running safety of high-speed trains, it is necessary to control the post-
earthquake damage of the components in high-speed railway bridge-track system …