Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

R Hou, Y Xia - Journal of Sound and Vibration, 2021 - Elsevier
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review

M Azimi, AD Eslamlou, G Pekcan - Sensors, 2020 - mdpi.com
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection

L Sun, Z Shang, Y Xia, S Bhowmick… - Journal of Structural …, 2020 - ascelibrary.org
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

[HTML][HTML] Digital technologies can enhance climate resilience of critical infrastructure

SA Argyroudis, SA Mitoulis, E Chatzi, JW Baker… - Climate Risk …, 2022 - Elsevier
Delivering infrastructure, resilient to multiple natural hazards and climate change, is
fundamental to continued economic prosperity and social coherence. This is a strategic …

Loading condition monitoring of high-strength bolt connections based on physics-guided deep learning of acoustic emission data

D Li, JH Nie, H Wang, WX Ren - Mechanical systems and signal processing, 2024 - Elsevier
Aiming at life-cycle condition monitoring of high-strength bolt connections, a physics-guided
deep learning framework integrating supervised and unsupervised learning was developed …

A critical review on structural health monitoring: Definitions, methods, and perspectives

VR Gharehbaghi, E Noroozinejad Farsangi… - … methods in engineering, 2022 - Springer
The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …

Empirical mode decomposition and its variants: A review with applications in structural health monitoring

M Barbosh, P Singh, A Sadhu - Smart Materials and Structures, 2020 - iopscience.iop.org
Structural health monitoring (SHM) is one of the most emerging approaches for early
damage detection, which leads to improved safety and efficient maintenance of large-scale …

Review of artificial intelligence-based bridge damage detection

Y Zhang, KV Yuen - Advances in Mechanical Engineering, 2022 - journals.sagepub.com
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …

[HTML][HTML] Recent vibration-based structural health monitoring on steel bridges: Systematic literature review

AS Azhar, SA Kudus, A Jamadin, NK Mustaffa… - Ain Shams Engineering …, 2024 - Elsevier
Abstract Structural Health Monitoring (SHM) implementations on infrastructures, including
bridges, are currently experiencing a surge in popularity as the favoured solution for …

[HTML][HTML] Deep autoencoder architecture for bridge damage assessment using responses from several vehicles

MZ Sarwar, D Cantero - Engineering Structures, 2021 - Elsevier
Vehicle-assisted monitoring is a promising alternative for rapid and low-cost bridge health
monitoring compared to direct instrumentation of bridges. In recent years, centralized …