Operational Modal Analysis on Bridges: A Comprehensive Review
Structural health monitoring systems have been employed throughout history to assess the
structural responses of bridges to both natural and man-made hazards. Continuous …
structural responses of bridges to both natural and man-made hazards. Continuous …
Data interpretation and forecasting of SHM heteroscedastic measurements under typhoon conditions enabled by an enhanced Hierarchical sparse Bayesian Learning …
Abstract Rapid advances in Structural Health Monitoring (SHM) have led to a new era of Big
Data in the past decade. However, collected data may include a huge amount of …
Data in the past decade. However, collected data may include a huge amount of …
Structural responses estimation of cable-stayed bridge from limited number of multi-response data
A cable-stayed bridge is widely adopted to construct long-span bridges. The deformation of
cable-stayed bridges is relatively larger than that of conventional bridges, such as beam and …
cable-stayed bridges is relatively larger than that of conventional bridges, such as beam and …
An efficient deep learning model to predict the structural response of CFRP isogrid tubes
Several sectors have increased the use of lattice structures due its great capacity to reduce
the structural mass with reasonable rigidity loss. However, these structures can present …
the structural mass with reasonable rigidity loss. However, these structures can present …
Predictive evaluation of dynamic responses and frequencies of bridge using optimized VMD and genetic algorithm-back propagation approach
M Wang, C Xiong, Z Shang - Journal of Civil Structural Health Monitoring, 2024 - Springer
The large amount of data collected by structural health monitoring systems deployed in the
bridge contains dynamic information about the structure. To enhance the prediction …
bridge contains dynamic information about the structure. To enhance the prediction …
Data‐Driven Method for Probabilistic Response Prediction of Cable‐Stayed Bridges
M Kim, J Lee, KC Lee, JH Jang… - Advances in Civil …, 2024 - Wiley Online Library
This study proposes a data‐driven method for predicting the probabilistic response of cable‐
stayed bridges. The proposed method is used to construct an optimal prediction model …
stayed bridges. The proposed method is used to construct an optimal prediction model …
The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network
This study investigates the effect of data decomposition to improve the performance of
artificial neural networks (ANNs), widely used in wind speed forecasting in the wind energy …
artificial neural networks (ANNs), widely used in wind speed forecasting in the wind energy …
Deep learning for structural health monitoring
AP Pamuncak - 2021 - wrap.warwick.ac.uk
In recent years, Structural Health Monitoring (SHM) has attracted significant attention due to
its potential in providing effective maintenance strategy for infrastructure. However …
its potential in providing effective maintenance strategy for infrastructure. However …