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Special Issue Editorial: “Remote sensing in structural health monitoring”

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journal contribution
posted on 2025-05-08, 14:39 authored by Yang Yang, Giuseppe Lacidogna, Mohamed Elchalakani, Craig HancockCraig Hancock

Structural Health Monitoring (SHM) plays an indispensable role in ensuring the safety and longevity of critical infrastructure, including bridges [1,2], tunnels [3,4], wind turbines [5,6], and skyscrapers [7,8]. As global infrastructure ages, the risk of damage and deterioration significantly increases. Traditional structural maintenance methods rely on regular manual inspections, which are time-consuming and costly, and often fail to detect early-stage damage, only identifying issues once they have escalated. This limitation is especially pronounced for remote or difficult-to-access infrastructure where frequent maintenance is challenging. Consequently, SHM systems based on sensor networks and data analysis have emerged as a preferable alternative. These systems enable real-time, continuous monitoring, allowing early detection of structural damage in its nascent stages and thus preventing major accidents. This proactive approach is essential for extending infrastructure lifespans, reducing maintenance costs, and enhancing public safety.

Funding

Research Project of the Zhejiang Provincial Department of Transport—Intelligent Detection Method for Mechanical Indicators of Bridge Structures, Innovation Group Project of the National Natural Science Foundation of China (52221002)

Fundamental Research Funds for the Central Universities of China (2022CDJQY-009)

History

School

  • Architecture, Building and Civil Engineering

Published in

Remote Sensing

Volume

16

Issue

24

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)

Acceptance date

2024-12-12

Publication date

2024-12-01

Copyright date

2024

eISSN

2072-4292

Language

  • en

Depositor

Dr Craig Hancock. Deposit date: 6 January 2025

Article number

4748