State-of-the-art review on advancements of data mining in structural health monitoring

M Gordan, SR Sabbagh-Yazdi, Z Ismail, K Ghaedi… - Measurement, 2022 - Elsevier
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

The promise of implementing machine learning in earthquake engineering: A state-of-the-art review

Y Xie, M Ebad Sichani, JE Padgett… - Earthquake …, 2020 - journals.sagepub.com
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 …

State of the art of control schemes for smart systems featuring magneto-rheological materials

SB Choi, W Li, M Yu, H Du, J Fu… - Smart materials and …, 2016 - iopscience.iop.org
This review presents various control strategies for application systems utilizing smart
magneto-rheological fluid (MRF) and magneto-rheological elastomers (MRE). It is well …

Active vibration control of flexible cantilever plates using piezoelectric materials and artificial neural networks

O Abdeljaber, O Avci, DJ Inman - Journal of sound and Vibration, 2016 - Elsevier
The study presented in this paper introduces a new intelligent methodology to mitigate the
vibration response of flexible cantilever plates. The use of the piezoelectric sensor/actuator …

State-of-the-art recent developments of large magnetorheological (MR) dampers: a review

M Abdul Aziz, SM Mohtasim, R Ahammed - Korea-Australia Rheology …, 2022 - Springer
Large MR (MR) dampers are popular due to their higher damping force capabilities which
makes them suitable in the field of civil engineering, structural engineering, suspension …

The experimental identification of magnetorheological dampers and evaluation of their controllers

H Metered, P Bonello, SO Oyadiji - Mechanical systems and signal …, 2010 - Elsevier
Magnetorheological (MR) fluid dampers are semi-active control devices that have been
applied over a wide range of practical vibration control applications. This paper concerns the …

Recent advances in hybrid vibration-control systems

MH Stanikzai, S Elias, Y Chae - Practice Periodical on Structural …, 2022 - ascelibrary.org
A detailed literature review of the recent advances in hybrid vibration-control systems was
presented in this article. In the literature, a combination of two or more vibration-control …

Damping Magnetorheological Systems Based on Optimal Neural Networks Preview Control Integrated with New Hybrid Fuzzy Controller to Improve Ride Comfort

AS Gad, SD Jabeen, WG Ata - … Journal of Vehicle Dynamics, Stability, and …, 2023 - sae.org
Adaptive neural networks (ANNs) have become famous for modeling and controlling
dynamic systems. However, because of their failure to precisely reflect the intricate dynamics …

Modeling and identification of a shear mode magnetorheological damper

F Ikhouane, SJ Dyke - Smart Materials and Structures, 2007 - iopscience.iop.org
Magnetotheological (MR) dampers have emerged recently as potential devices for vibration
mitigation and semi-active control in smart structures and vehicle applications. These …

Fault detection and fault tolerant control of vehicle semi-active suspension system with magneto-rheological damper

X Du, G Han, M Yu, Y Peng, X Xu… - Smart Materials and …, 2020 - iopscience.iop.org
Compared with other components, actuator fault has a higher probability of occurrence in
semi-active suspension with magneto-rheological (MR) damper, which will lead to the safety …