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What is AI Modeling of Sandstone Properties Under Wet-Dry Cycles about?

This study investigates the impact of wetting-drying cycles on the engineering properties of sandstone, revealing significant reductions in density, elastic modulus, Q-factor, and unconfined compressive strength, alongside increases in porosity and permeability. The research employs artificial intelligence techniques, specifically a cascade-forward neural network, to develop predictive models for the Q-factor and elastic modulus, achieving better accuracy compared to traditional linear regression methods. T

Author

Umer Waqas

Language

EN