Nature

Intelligent prediction of residual strength in blended hydrogen–natural gas pipelines with crack-in-dent defects

Accurately predicting the residual strength of blended hydrogen natural gas pipelines containing a crack-in-dent defect is critical for ensuring their safe and stable operation. Machine learning ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Nature

Machine learning-based corrosion rate prediction of steel embedded in soil

Carbon steel is widely used in structures in soil environments such as pipelines and bridges (e.g., H-piles). As carbon steel is susceptible to corrosion, corrosion of soil-buried steel has been ...