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Open access Sep 2026

A physics-constrained neural network with guided local search for rapid code-compliant design of reinforced concrete box culverts

Reinforced concrete box culverts must satisfy hydraulic, structural and geotechnical requirements simultaneously, and the conventional design workflow of successive trial sizing and code checking is slow and tends to produce conservative sections. This study develops a physics-constrained neural network (PCNN) that m...

Le Cong Chinh, Thac Khac Tran, Suong Thi Mai Nguyen et al. · 0 citations
Open access Oct 2026

Explainable AI-Driven Multi-Objective Optimization of Eccentrically Loaded Reinforced Concrete Strip Foundations

The design of eccentrically loaded reinforced concrete strip foundations traditionally relies on analytical bearing-capacity theory and trial-and-error sizing, which often result in overconservative dimensions and inefficient use of materials. This study proposes an explainable, end-to-end Artificial Intelligence (AI)...

V. Nguyen, N. Pham · 0 citations

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