TL;DR
The proposed system provides a comprehensive solution by integrating crack detection, severity assessment, classification, and growth prediction by integrating Random Forest Regression, which is proven to be the best one among all the three regression algorithms.
Fatigue cracks and their corresponding repair status are crucial indicators of the health of steel bridges. Moreover, detailed crack identification is essential for intelligent bridge management and maintenance. Hence, this study proposes a method based on visual geometric characteristics to assess the status of stop-h...
Accurate characterization of crack geometry is critical for assessing the durability and serviceability of Reinforced Concrete (RC) structures. Although Deep Learning (DL) has significantly improved automated crack segmentation, its effectiveness in supporting engineering measurements such as crack width remains insuff...
A computational failure framework that incorporates decision tree classification and machine-learning modeling to identify failure modes in textile-reinforced concrete columns and predict their strength provides practical tools for forensic investigation and reliability-based design of fiber-reinforced confinement syst...
This paper investigates the dynamic splitting tensile damage characteristics of steel fiber–reinforced fly ash concrete (SFRFAC) under various steel fiber contents, fly ash replacements, and loading rates. The Brazilian disc splitting tensile test was combined with the acoustic emission (AE) detection system for the...
This structured critical review examines ML applications to materials and process design, microstructural characterization, mechanical-property prediction, corrosion, fire and elevated-temperature performance, fatigue, fracture, and remaining-life assessment and shows that model suitability depends strongly on data mod...
In this study, a combined approach of artificial neural networks and finite element simulation is employed to investigate crack propagation behavior of silicon carbide ceramics. The research objects include three‐point bending specimens featuring prefabricated cracks and Vickers indentation specimens. Firstly, the ex...
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