Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

M Abdulkarem, K Samsudin… - Structural health …, 2020 - journals.sagepub.com
The importance of wireless sensor networks in structural health monitoring is unceasingly
growing, because of the increasing demand for both safety and security in the cities. The …

Crack and noncrack classification from concrete surface images using machine learning

H Kim, E Ahn, M Shin, SH Sim - Structural Health Monitoring, 2019 - journals.sagepub.com
In concrete structures, surface cracks are important indicators of structural durability and
serviceability. Generally, concrete cracks are visually monitored by inspectors who record …

A review on sensors and systems in structural health monitoring: Current issues and challenges

MA Hannan, K Hassan, KP Jern - Smart Structures and Systems, An …, 2018 - dbpia.co.kr
Sensors and systems in Civionics technology play an important role for continuously
facilitating real-time structure monitoring systems by detecting and locating damage to or …

[HTML][HTML] Structural crack detection and recognition based on deep learning

C Yang, J Chen, Z Li, Y Huang - Applied sciences, 2021 - mdpi.com
The detection and recognition of surface cracks are of great significance for structural safety.
This paper is based on a deep-learning methodology to detect and recognize structural …

Fatigue damage diagnosis and prognosis for 2024 aluminum plates with center holes: a strain monitoring approach

L Han, X He, Y Ning, Y Zhang, Y Zhou - International Journal of Fatigue, 2023 - Elsevier
A fatigue damage diagnosis and prognosis approach has been developed based on strain
monitoring. The fatigue experiment is conducted on 2024 aluminum specimens with center …

[HTML][HTML] Deep learning activation layer-based wall quality recognition using Conv2D ResNet exponential transfer learning model

B Kim, Y Natarajan, SD Munisamy, A Rajendran… - Mathematics, 2022 - mdpi.com
Crack detection is essential for observing structural health and guaranteeing structural
safety. The manual crack and other damage detection process is time-consuming and …

[HTML][HTML] Performance evaluation of a carbon nanotube sensor for fatigue crack monitoring of metal structures

S Ahmed, T Schumacher, ET Thostenson, J McConnell - Sensors, 2020 - mdpi.com
This article describes research that investigated the ability of a carbon nanotube (CNT)
sensor to detect and monitor fatigue crack initiation and propagation in metal structures. The …

Online fatigue crack prognosis using nonlinear ultrasonic modulation

HJ Lim, H Sohn - Structural Health Monitoring, 2019 - journals.sagepub.com
This article presents an online remaining fatigue life estimation (prognosis) technique using
nonlinear ultrasonic modulation. When two ultrasonic inputs at two distinct frequencies are …

Spectral noise and data reduction using a long short-term memory network for nonlinear ultrasonic modulation-based fatigue crack detection

J Jang, H Sohn, HJ Lim - Ultrasonics, 2023 - Elsevier
This paper presents a spectral noise and data reduction technique based on long short-term
memory (LSTM) network for nonlinear ultrasonic modulation-based fatigue crack detection …

Nonlinear modulation with low-power sensor networks using undersampling

P Oppermann, L Dorendorf… - Structural health …, 2021 - journals.sagepub.com
Nonlinear modulation is a promising technique for ultrasonic non-destructive damage
identification. A wireless sensor network is ideally suited to monitor large structures using …