The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
Artificial neural network and YUKI algorithm for notch depth prediction in X70 steel specimens
AO Brahim, R Capozucca, S Khatir, E Magagnini… - Theoretical and Applied …, 2024 - Elsevier
The presence of notches directly influences the material's degree of resistance to fracture, as
each notch is defined by its size and location in the structure. In this study, we present a …
each notch is defined by its size and location in the structure. In this study, we present a …
[HTML][HTML] HDTO-DeepAR: A novel hybrid approach to forecast surface water quality indicators
Water is a vital resource supporting a broad spectrum of ecosystems and human activities.
The quality of river water has declined in recent years due to the discharge of hazardous …
The quality of river water has declined in recent years due to the discharge of hazardous …
An integrated surrogate model-driven and improved termite life cycle optimizer for damage identification in dams
Abstract Structural Damage Identification (SDI) is a crucial branch in the field of structural
health monitoring, providing an essential support for the safe operation of structures. In this …
health monitoring, providing an essential support for the safe operation of structures. In this …
An efficient improved Gradient Boosting for strain prediction in Near-Surface Mounted fiber-reinforced polymer strengthened reinforced concrete beam
Abstract The Near-Surface Mounted (NSM) strengthening technique has emerged as a
promising alternative to traditional strengthening methods in recent years. Over the past two …
promising alternative to traditional strengthening methods in recent years. Over the past two …
Impact damage characterization approach for CFRP pipes via self-sensing
The growing usage of carbon-fiber-reinforced polymers (CFRPs) has necessitated the
development of structural health monitoring (SHM) for ensuring their integrity and safe …
development of structural health monitoring (SHM) for ensuring their integrity and safe …
A boundary identification approach for the feasible space of structural optimization using a virtual sampling technique-based support vector machine
H Cao, H Li, W Sun, Y Xie, B Huang - Computers & Structures, 2023 - Elsevier
To improve the computational efficiency of structural optimization, this study treats the
feasibility evaluation of the solutions as a two-class classification problem and proposes a …
feasibility evaluation of the solutions as a two-class classification problem and proposes a …
Detecting damages in metallic beam structures using a novel wavelet selection criterion
Structural damage detection using wavelet transform is effective if a suitable wavelet
function is selected. However, the selection of the appropriate wavelet function can be a …
function is selected. However, the selection of the appropriate wavelet function can be a …
Application of KRR, K-NN and GPR algorithms for predicting the soaked CBR of fine-grained plastic soils
California bearing ratio (CBR) test is one of the comprehensive tests used for the last few
decades to design the pavement thickness of roadways, railways and airport runways …
decades to design the pavement thickness of roadways, railways and airport runways …
Development and field validation of wireless sensors for railway bridge modal identification
Bridges are strategic infrastructures which are subject to degradation during their lifetime.
Therefore, structural health monitoring is becoming an essential tool in this field to drive …
Therefore, structural health monitoring is becoming an essential tool in this field to drive …