Machine learning (ML) has evolved rapidly over recent years with the promise to
substantially alter and enhance the role of data science in a variety of disciplines. Compared …

Because of their intrinsically nonlinear characteristics, development of control strategies that
are implementable and can fully utilize the capabilities of semiactive control devices is an …

Vibration mitigation using smart, reliable and cost‐effective mechanisms that requires small
activation power is the primary objective of this paper. A semi‐active controller‐based neural …

This paper discusses the adoption of Artificial Intelligence-based techniques to estimate
seismic damage, not with the goal of replacing existing approaches, but as a mean to …

Abstract Mechanical vibrations in Tip-Tilt modes affect the closed-loop performance of
astronomical telescopes. Large integration time of the image sensor can restrict the Tip-Tilt …

This paper introduces a new robust neural network methodology for vibration mitigation of
tall building under wind excitation. The building considered is a 76‐storey 306 m concrete …

Experimental verifications of a recently developed structural control method using neural
network has been carried out on the earthquake simulator at the University of Illinois at …

The main purpose of the present study is to develop some artificial neural network (ANN)
models for the prediction of limit pressure (PL) and pressuremeter modulus (EM) for clayey …

A paraboloidal shell plays a key role in aerospace and optical structural systems applied to
large optical reflector, communications antenna, rocket fairing, missile radome, etc. Due to …

Due to their intrinsically nonlinear characteristics, development of control strategies that are
implementable and can fully utilize the capabilities of semiactive control devices is an …