Author

Cong-Cong Zhang

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#machine learning Preprint Oct 2026

A physics-coupled graph neural operator for mid-plane six-component stress tensor field prediction in concrete penetration

The penetration-resistant design of concrete structures requires the spatiotemporal evolution of the stress field within the target, whereas in design only the strength grade, the geometry and the projectile parameters are known, and the aggregate arrangement is not. Empirical formulae and scalar-output surrogates serv...

Wen-Chu Du, Peng-Tao Zhou, Yun-Long Xia et al. · 0 citations

Preprint Aug 2026

A Constitutive Markov Physics-Informed Neural Operator (MPNO) for Autoregressive Stability in Transient Dynamics

Neural operators applied to transient-dynamics PDEs with strong discontinuities exhibit autoregressive instability: in concrete-penetration stress-field prediction, the wavelet neural operator (WNO) diverges in autoregressive rollout, while MeshGraphNets collapse to zero predictions. WNO's instability stems from the la...

Wen-Chu Du, Peng-Tao Zhou, Yun-Long Xia et al. · 0 citations

#machine learning Preprint Sep 2026

Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate

Although the impact resistance of concrete has been studied extensively, a framework linking mesoscale heterogeneity to full-field stress-tensor prediction has been lacking. Data were generated with a full-scale aggregate-resolved LS-DYNA model (projectile diameter 45 mm, mass 2.13 kg, target diameter 500 mm x thicknes...

Wen-Chu Du, Peng-Tao Zhou, Yun-Long Xia et al. · 0 citations