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 …

Eliminating environmental and operational effects on structural modal frequency: A comprehensive review

Z Wang, DH Yang, TH Yi, GH Zhang… - Structural Control and …, 2022 - Wiley Online Library
Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …

Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

J Mao, H Wang, BF Spencer Jr - Structural Health Monitoring, 2021 - journals.sagepub.com
Damage detection is one of the most important tasks for structural health monitoring of civil
infrastructure. Before a damage detection algorithm can be applied, the integrity of the data …

Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method

S Li, J Xin, Y Jiang, C Wang, J Zhou, X Yang - Journal of Civil Structural …, 2023 - Springer
The bridge deflection data measured in field are greatly affected by temperature. In some
situations, temperature can be the dominant factor comparing with loads and other factors …

Bayesian dynamic regression for reconstructing missing data in structural health monitoring

YM Zhang, H Wang, Y Bai, JX Mao… - Structural Health …, 2022 - journals.sagepub.com
Massive data that provide valuable information regarding the structural behavior are
continuously collected by the structural health monitoring (SHM) system. The quality of …

Attention-based LSTM (AttLSTM) neural network for seismic response modeling of bridges

Y Liao, R Lin, R Zhang, G Wu - Computers & Structures, 2023 - Elsevier
Accurate prediction of bridge responses plays an essential role in health monitoring and
safety assessment of bridges subjected to dynamic loads such as earthquakes. To this end …

Probabilistic framework with bayesian optimization for predicting typhoon-induced dynamic responses of a long-span bridge

YM Zhang, H Wang, JX Mao, ZD Xu… - Journal of Structural …, 2021 - ascelibrary.org
The long-span bridge, characterized by slenderness and flexibility, is particularly sensitive to
wind action. Extreme wind events, including typhoons and hurricanes, will threaten the …

Modelling and forecasting of SHM strain measurement for a large-scale suspension bridge during typhoon events using variational heteroscedastic Gaussian process

QA Wang, C Zhang, ZG Ma, YQ Ni - Engineering Structures, 2022 - Elsevier
The modelling and forecasting (M&F) of strain measurement (as a kind of local structural
responses) during typhoon events provides valuable insight into the structural condition …

Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model

YM Zhang, H Wang, HP Wan… - Structural Health …, 2021 - journals.sagepub.com
Enormous data are continuously collected by the structural health monitoring system of civil
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …

Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability

QA Wang, Y Dai, ZG Ma, JF Wang… - Structural Health …, 2024 - journals.sagepub.com
Central to structural health monitoring (SHM) is data modeling, manipulation, and
interpretation on the basis of a sophisticated SHM system. Despite continuous evolution of …