Author

Thai-Son Vu

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Open access Oct 2026

Artificial intelligence‐based prediction of cooling pipe system parameters for thermal field control and crack prevention in mass concrete structures

The pile cap of a bridge pier is susceptible to thermal cracking caused by heat generated during cement hydration at early ages. Although numerical and machine‐learning methods have been used to analyze the thermal behavior of mass concrete with cooling pipe systems (CPSs), an integrated approach for rapid predicti...

D. Le, Van-Minh Le, Thai-Son Vu et al. · Structural Concrete · 0 citations

Preprint Sep 2026

Reciprocity can halve what a mechanical network can learn

A passive, reciprocal, linear network driven by forces or currents and read at points it drives cannot be trained below an error floor computed from the target beforehand. The usual parameter count for such networks does not charge for Maxwell-Betti reciprocity. We prove that when such an elastic, resistor or flow netw...

Thai-Son Vu, Hoang-Giang Nguyen, Q. Nguyen et al. · 1 citation

Open access Jul 2026

Experimental and numerical validations of predictive models for compressive strength of pervious concrete

Pervious concrete (PC) is a key material in sustainable urban development, but its design is complicated by the inverse relationship between permeability and compressive strength. To optimize its use, various predictive models—analytical, numerical, and data-driven—have been developed. However, a comparative validation...

Van-Hung Nguyen, Hoang-Quan Nguyen, B. Tran et al. · Journal of Science and Trans... · 0 citations