Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

The current development of structural health monitoring for bridges: a review

Z Deng, M Huang, N Wan, J Zhang - Buildings, 2023 - mdpi.com
The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

[HTML][HTML] A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns

A Entezami, H Sarmadi, B Behkamal - Mechanical Systems and Signal …, 2023 - Elsevier
Monitoring of modal frequencies under an unsupervised learning framework is a practical
strategy for damage assessment of civil structures, especially bridges. However, the key …

Structural health monitoring research under varying temperature condition: A review

Q Han, Q Ma, J Xu, M Liu - Journal of Civil Structural Health Monitoring, 2021 - Springer
Suffering from solar radiation, day–night replacement and seasonal changes, the structure
will produce notable temperature behaviour, which has a vital effect on the long-term …

Real-time structural damage assessment using LSTM networks: regression and classification approaches

S Sharma, S Sen - Neural Computing and Applications, 2023 - Springer
Structural health monitoring (SHM) techniques rarely consider the effect of ambient
temperature, even though its impact on the structures being substantial. Moreover, typical …

Temperature-based measurement interpretation of the MX3D Bridge

T Glashier, R Kromanis, C Buchanan - Engineering Structures, 2024 - Elsevier
Abstract The MX3D Bridge is the world's first structure produced using metal additive
manufacturing (AM, ie 3D printing), deposited through wire and arc AM (WAAM). The long …

Health monitoring of civil infrastructures by subspace system identification method: An overview

H Shokravi, H Shokravi, N Bakhary… - Applied Sciences, 2020 - mdpi.com
Structural health monitoring (SHM) is the main contributor of the future's smart city to deal
with the need for safety, lower maintenance costs, and reliable condition assessment of …

Anomaly detection for large span bridges during operational phase using structural health monitoring data

X Xu, Y Ren, Q Huang, ZY Fan, ZJ Tong… - Smart Materials and …, 2020 - iopscience.iop.org
In view of the limitation of damage detection in practical applications for large scale civil
structures, a practical method for anomaly detection is developed. Within the anomaly …

An MPPCA-based approach for anomaly detection of structures under multiple operational conditions and missing data

Z Ma, Y Luo, CB Yun, HP Wan… - Structural Health …, 2023 - journals.sagepub.com
Structural anomaly detection based on the structural health monitoring (SHM) data has
attracted significant attention owing to its important role in the early warning of structural …

Probabilistic principal component analysis‐based anomaly detection for structures with missing data

Z Ma, CB Yun, HP Wan, Y Shen, F Yu… - Structural Control and …, 2021 - Wiley Online Library
Structures are subjected to various kinds of structural deterioration and damage with use
over long periods of service life. For the safety assurance of structures, it is very important to …