Title: Recent advances in structural health monitoring: techniques, applications and future directions

Authors: Najmadeen Mohammed Saeed

Addresses: Civil Engineering Department, University of Raparin, Rania, Kurdistan Region, Iraq; Civil Engineering Department, Faculty of Engineering, Tishk International University, Erbil, Kurdistan Region, Iraq

Abstract: Structural Health Monitoring (SHM) ensures structure safety, reliability, and durability in many sectors. SHM methods have improved structural evaluation and maintenance efficiency to meet sustainable infrastructure and lower maintenance expenses. This article discusses current SHM achievements, their benefits, and future research in this rapidly growing field. Basic SHM procedures start with manual monitoring and visual inspections. Advanced sensors, data analytics and machine learning algorithms have transformed SHM. Industrial, aerospace, energy and civil infrastructure use SHM. SHM optimises processes and quality control, improving product reliability and waste reduction. It covers smart materials, low-cost, lightweight, energy-efficient sensor technologies and advanced data analytics for better decision-making. Advanced sensors, data analytics and machine learning algorithms enable real-time monitoring, anomaly detection and preventative maintenance using SHM. Advanced sensor technologies and SHM integration with cutting-edge technology will shape this industry and improve SHM and maintenance.

Keywords: SHM; structural health monitoring; sensor; data analytics; machine learning; durability; safety; maintenance; reliability.

DOI: 10.1504/IJRS.2024.139199

International Journal of Reliability and Safety, 2024 Vol.18 No.1, pp.55 - 85

Received: 03 Nov 2023
Accepted: 14 Nov 2023
Published online: 25 Jun 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article