Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
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 …
smart monitoring and decision-making solutions. Near real-time and online damage …
[HTML][HTML] Recent vibration-based structural health monitoring on steel bridges: Systematic literature review
Abstract Structural Health Monitoring (SHM) implementations on infrastructures, including
bridges, are currently experiencing a surge in popularity as the favoured solution for …
bridges, are currently experiencing a surge in popularity as the favoured solution for …
[HTML][HTML] A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns
Monitoring of modal frequencies under an unsupervised learning framework is a practical
strategy for damage assessment of civil structures, especially bridges. However, the key …
strategy for damage assessment of civil structures, especially bridges. However, the key …
A sound-based fault diagnosis method for railway point machines based on two-stage feature selection strategy and ensemble classifier
Contactless fault diagnosis is one of the most important technique for fault identification of
equipment. Based on the idea of contactless fault diagnosis, this paper presents a sound …
equipment. Based on the idea of contactless fault diagnosis, this paper presents a sound …
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 …
infrastructure. Before a damage detection algorithm can be applied, the integrity of the data …
Numerical investigation of external sulfate attack and its effect on chloride binding and diffusion in concrete
Reinforced concrete (RC) structures may suffer from serious durability problems during long-
term service. To investigate the deterioration of RC structures subjected to the dual attacks of …
term service. To investigate the deterioration of RC structures subjected to the dual attacks of …
Probabilistic framework with bayesian optimization for predicting typhoon-induced dynamic responses of a long-span bridge
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 …
wind action. Extreme wind events, including typhoons and hurricanes, will threaten the …
Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes
Fragility analysis is widely used in seismic performance assessment of bridges but
uncertainties in seismic demand and bridge modelling affect the accuracy of assessment …
uncertainties in seismic demand and bridge modelling affect the accuracy of assessment …
Artificial intelligence and structural health monitoring of bridges: A review of the state-of-the-art
In the age of the smart city, things like the Internet of Things (IoT) and big data analytics are
making big changes to the way traditional structural health monitoring (SHM) is done. Also …
making big changes to the way traditional structural health monitoring (SHM) is done. Also …
Temperature effect on vibration properties and vibration-based damage identification of bridge structures: A literature review
In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …
especially temperature, can be equivalent to or greater than the ones produced by damage …