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 …

In a companion paper, the writers reviewed significant work done on active and semi-active
vibration control of structures performed in the past decade or so. In this paper, journal …

Recent estimates hypothesize that the US will need $1.6 trillion dollars for the rehabilitation,
replacement, and maintenance of existing infrastructure systems within the next 20 years …

A new non‐linear control model is presented for active control of three‐dimensional (3D)
building structures. Both geometrical and material non‐linearities are included in the …

This article presents a review of the recent applications of artificial neural networks (ANN) for
civil infrastructure including structural system identification, structural health monitoring …

In this paper, a new semi‐active control strategy for seismic response reduction using a
neurocontroller and MR dampers is proposed. The proposed control system adopts a …

An intelligent control technique using a neural network is proposed for seismic protection of
offshore structures. Fluid-structure interaction was considered in developing controller and a …

This paper proposes an active scheme for vibration control of cable‐stayed bridges under
seismic loads. The control action is supplied by using a subset of the stay cables as active …

Purpose Contemporary stochastic optimal control by synergy of the probability density
evolution method (PDEM) and conventional optimal controller exhibits less capability to …

An energy-based semi-active control strategy is presented to reduce structural vibration. The
equation of motion is derived from a structure-TLCD coupled system. Material and …