Thông tin nhà nghiên cứu KH&CN

Hybrid deep learning and isogeometric analysis for bearing capacity assessment of sand over clay.

Stability of rectangular tunnels in cohesive-frictional soil under surcharge loading using isogeometric analysis and Bayesian neural networks.

A novel closed-form solution for circular tunnels in cohesive-frictional soils using isogeometric analysis, upper bound limit analysis, and soft computing

A multi-field coupled data-driven surrogate approach for multiphysical damage diagnostic of energy harvesting composite plates.

Sustainable foundation design: Hybrid TLBO-XGB model with confidence interval enhanced load–displacement prediction for PGPN piles

Synergistic integration of isogeometric analysis and data-driven modeling for enhanced strip footing design on two-layered clays: Advancing geotechnical engineering practices

Undrained sinkhole stability of circular cavity: a comprehensive approach based on isogeometric analysis coupled with machine learning.

Predicting load–displacement of driven PHC pipe piles using stacking ensemble with Pareto optimization.

Coupling isogeometric analysis with deep learning for stability evaluation of rectangular tunnels.

A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements