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State of the art in structural health monitoring of offshore and marine structures
This paper deals with state of the art in structural health monitoring (SHM) methods in
offshore and marine structures. Most SHM methods have been developed for onshore …
offshore and marine structures. Most SHM methods have been developed for onshore …
[HTML][HTML] Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …
Structural damage detection with automatic feature‐extraction through deep learning
Y Lin, Z Nie, H Ma - Computer‐Aided Civil and Infrastructure …, 2017 - Wiley Online Library
Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …
damage‐sensitive and noise‐robust features from structure response. This article presents a …
A novel unsupervised deep learning model for global and local health condition assessment of structures
A methodology is described for global and local health condition assessment of structural
systems using ambient vibration response of the structure collected by sensors. The model …
systems using ambient vibration response of the structure collected by sensors. The model …
Image‐based crack assessment of bridge piers using unmanned aerial vehicles and three‐dimensional scene reconstruction
YF Liu, X Nie, JS Fan, XG Liu - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Crack assessment of bridge piers using unmanned aerial vehicles (UAVs) eliminates unsafe
factors of manual inspection and provides a potential way for the maintenance of …
factors of manual inspection and provides a potential way for the maintenance of …
Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
An accurate response prediction model is of great importance in various applications such
as damage detection, structural health monitoring, and vibration control. Development of …
as damage detection, structural health monitoring, and vibration control. Development of …
Supervised deep restricted Boltzmann machine for estimation of concrete
Costly and time-consuming destructive methods are usually used to determine the
properties of alternative concrete mixtures. To reduce cost and time, statistical and neural …
properties of alternative concrete mixtures. To reduce cost and time, statistical and neural …
Integrating structural control, health monitoring, and energy harvesting for smart cities
Cities that are adopting innovative and technology‐driven solutions to improve the city's
efficiency are considered smart cities. With the increased attention on smart cities with self …
efficiency are considered smart cities. With the increased attention on smart cities with self …
Structural damage identification based on unsupervised feature-extraction via variational auto-encoder
X Ma, Y Lin, Z Nie, H Ma - Measurement, 2020 - Elsevier
Structural health monitoring (SHM) is a practical tool for assessing the safety and system
performance of existing structures. And structural damage identification has become the …
performance of existing structures. And structural damage identification has become the …
Sustainable decision-making in civil engineering, construction and building technology
Sustainable decision-making in civil engineering, construction and building technology can
be supported by fundamental scientific achievements and multiple-criteria decision-making …
be supported by fundamental scientific achievements and multiple-criteria decision-making …