The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …

A novel vibration‐based structural health monitoring (SHM) approach that uses two‐
dimensional deep convolution neural networks (CNN) is introduced. The CNN extracts the …

This paper proposes a Convolutional Neural Network (CNN) based approach for the
classification and prediction of various types of in-plane and through-the-thickness …

This paper provides an overview of the use of different Distributed Optical Fiber Sensor
systems (DOFSs) to perform Structural Health Monitoring (SHM) in the specific case of civil …

This study explores the innovative use of 3D robotic spray for applying self-sensing
cementitious coating, emphasising its potential for multifunctional smart concrete …

Structural health monitoring (SHM) is a non-destructive testing method that supports the
condition assessment and lifetime estimation of civil infrastructure. Sensor faults may result …

Abstract Structure health monitoring is a general term used to describe the process of
assessing the civil structure status and detecting and/or identifying any damage that occurs …

In this paper, a method to obtain crack initiation, location and width in concrete structures
subjected to bending and instrumented with an optical backscattered reflectometer (OBR) …

Mechanoluminescence (ML)-perovskite sensors have shown potential for real-time impact
sensing in composites structure. The sensors can be embedded in the structure for in-situ …

Estimating engineering structures' health conditions and predicting their future behaviors are
fundamental problems for a city's safe and efficient operations. Data-driven solutions …