Hanoi University

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

Abstract 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 (CPS...

Seismic Response of Concrete Columns Reinforced with CFRP Bars and Spirals Under Near-Fault Ground Motions

Carbon-fiber-reinforced polymer (CFRP) reinforcement is a potential alternative to steel in corrosive environments. However, CFRP is elastic without ductility, and the seismic performance of CFRP-reinforced concrete (RC) columns is inadequately understood. This study characterize...

Technology-Supported Japanese Learning in Pre-Departure Migration Preparation: Learning Challenges and Digital Practices Among Vietnam’s Japan-Bound Technical Intern Trainees

Technical intern trainees (TITs) preparing to depart for Japan study Japanese within a compressed four- to six-month pre-departure period, during which they must acquire language skills for workplace communication, daily life, and social adaptation. This cross-sectional study exa...

Free and forced vibration of porous-FGM sandwich plates with a reentrant auxetic honeycomb core

A unified differential quadrature (DQM) model is developed for the free and, for the first time, the forced vibration of sandwich plates with porous functionally graded face sheets and a reentrant auxetic honeycomb core. Face-sheet porosity follows even and uneven cosine distribu...

Beyond Surface Modulus: Shape-Aware Crack-Index Assessment of Mass Concrete Foundations Under Early-Age Thermal Stress

Abstract Early-age thermal cracking is a major serviceability and durability concern in mass-concrete foundations, especially under hot-weather construction conditions. Although surface modulus is widely used as a massivity descriptor, its ability to predict stress-based cracking...

Expert-informed causal mapping of generative AI adoption for net-zero built environment: a paradox theory perspective

The rapid diffusion of Generative Artificial Intelligence (GenAI) is increasingly framed as a key enabler of net-zero transitions in the built environment. Yet, its adoption simultaneously introduces persistent and interdependent tensions that complicate decarbonization, governan...