Corrosion poses a significant threat to the integrity and longevity of ship, offshore, and oil &
gas structures, resulting in substantial economic losses, environmental hazards, and safety …

Ceiling is one of the crucial non-structural components in public buildings, but it is
susceptible to damage after earthquakes. For important functional buildings, rapid …

In recent years, advancements in deep learning (DL) have been leveraged in civil
engineering, but further exploration is necessary to apply DL techniques to asphalt research …

Abstract 3D printing concrete (3DPC), which employs extruded-filament and no-framework
technologies, is more vulnerable to effects of internal microcracks than traditional concrete …

The proposed study focuses on the critical issue of corrosion, which leads to significant
economic losses and safety risks worldwide. A key area of emphasis is the accuracy of …

This groundbreaking study introduces a novel approach employing Extreme Fine-Tuning
(XFT) combined with Explainable Artificial Intelligence (XAI) for the accurate, non destructive …

In order to explore the corrosion resistance of duplex stainless steel under seawater
corrosion and the compressive stiffness of its reinforced concrete columns, this study first …

This paper involves the automation of a visual characterisation technique for corrosion in
marine vessels, as it appears in the hull preventive coatings of marine vessels and their …

Pathologies in concrete structures can be visually evidenced on the concrete surface, such
as by fissures or cracks, fragmentation of part of the concrete, concrete efflorescence …

Traditional methods of detecting concrete damage, such as manual inspection, are typically
slow, labor‐intensive, and subjective. Integrating deep learning algorithms has automated …