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M. Tafili

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Jul 2026

A thermo-mechanical constitutive model for fine-grained soils under cyclic and monotonic loading

Geothermal systems and geostructures, as sustainable energy sources, undergo daily and seasonal temperature fluctuations that significantly influence their mechanical response. Reliable prediction of thermally induced deformations therefore requires advanced thermo-mechanical constitutive models. Existing approaches of...

M. Ashrafi, M. Tafili, T. Wichtmann · 0 citations
Conference Open access 2026

Towards physics-consistent machine learning models: A geomechanics-based artificial neural network for high-cyclic soil response

It is proposed to design a Geomechanics-based Artificial Neural Network (GANN) that bypasses the need for calibration parameters and instead uses common soil descriptors, ensuring that the predicted strain evolution remains consistent with soil mechanics principles.

R. Polo-Mendoza, M. Tafili, Jose Duque et al. · 0 citations

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