Fibre-optic sensor and deep learning-based structural health monitoring systems for civil structures: A review

UMN Jayawickrema, H Herath, NK Hettiarachchi… - Measurement, 2022 - Elsevier
Structural health monitoring (SHM) systems in civil engineering structures have been a
growing focus of research and practice. Over the last few decades, optical fibre sensor (OFS) …

A novel unsupervised deep learning model for global and local health condition assessment of structures

MH Rafiei, H Adeli - Engineering Structures, 2018 - Elsevier
A methodology is described for global and local health condition assessment of structural
systems using ambient vibration response of the structure collected by sensors. The model …

Micro-cracking monitoring and fracture evaluation for crumb rubber concrete based on acoustic emission techniques

J Xu, Z Fu, Q Han, G Lacidogna… - Structural Health …, 2018 - journals.sagepub.com
A micro-cracking monitoring and fracture evaluation method for crumb rubber concrete
based on the acoustic emission technique was developed. The precursory micro-cracking …

Accurate prediction of topology of composite plates via machine learning and propagation of elastic waves

S Sang, C Xu, Z Wang, C Side, B Fowler, J Fan… - Composites …, 2023 - Elsevier
Composites are artificial or natural materials that exhibit extraordinary material properties
over homogenous materials made of one of their constituents. Detecting the microstructure …

Circular sensing networks for guided waves based structural health monitoring

T Wandowski, PH Malinowski… - Mechanical Systems and …, 2016 - Elsevier
In this paper, results of damage localization performed for four sensing network
configurations are compared. Process of damage localization is based on guided waves …

The stretching method for vibration‐based structural health monitoring of civil structures

C Tsogka, E Daskalakis… - Computer‐Aided Civil …, 2017 - Wiley Online Library
This article newly proposes the application of the stretching method, that is used in
geophysics for detecting variations in the velocity with which waves propagate in the earth's …

A new adaptive algorithm for automated feature extraction in exponentially damped signals for health monitoring of smart structures

H Qarib, H Adeli - Smart Materials and Structures, 2015 - iopscience.iop.org
In this paper authors introduce a new adaptive signal processing technique for feature
extraction and parameter estimation in noisy exponentially damped signals. The iterative 3 …

Accurate prediction of microstructure of composites using machine learning

S Sang, C Xu, J Fan, D Miao, C Side… - Advanced Theory and …, 2023 - Wiley Online Library
In this prospective work, a machine learning (ML) model based on multiple independent
random forest models to predict the configuration of binary composite bars is developed …

[HTML][HTML] Combined Fourier-wavelet transforms for studying dynamic response of anisotropic multi-layered flexible pavement with linear-gradual interlayers

L You, J Man, K Yan, D Wang, H Li - Applied Mathematical Modelling, 2020 - Elsevier
The objective of this study is to develop an analytical solution for studying dynamic response
of anisotropic multi-layered flexible pavement with linear-gradual interlayers under a …

Fracture monitoring and damage pattern recognition for carbon nanotube‐crumb rubber mortar using acoustic emission techniques

J Xu, Z Fu, Q Han, H Li - Structural Control and Health …, 2019 - Wiley Online Library
This article presents the results from an experimental study on the application of acoustic
emission (AE) analysis to assess the strengthening effect of carbon nanotubes and …