Ho Chi Minh City University of Transport

In the context of contemporary urban development, fire safety in public structures, particularly high-occupancy buildings, remains a paramount concern. The fire resistance of reinforced concrete (RC) frame structures, the primary load-bearing components, plays a pivotal role in ensuring life safety and mitigating property damage in the event of a fire. This research focuses on the application of advanced numerical simulation techniques, specifically utilizing ANSYS APDL software, to evaluate the fire resistance of RC frame structures in airport terminals conforming to EUROCODE standards. A detailed numerical model is constructed based on geometrical parameters, material properties, and realistic fire scenarios, enabling a thorough analysis of temperature distribution, stress, and deformation behavior of the structures under elevated temperatures. The findings not only validate the efficacy of ANSYS APDL in fire resistance assessment but also provide critical insights into the structural behavior of RC under fire conditions. Consequently, the research proposes optimized design solutions and engineering measures to enhance fire resistance, thereby ensuring the safety and operational continuity of airport terminals.

In this paper, a novel framework to enhance the reliability of wireless sensor networks (WSNs) by addressing the high probability of outage (OP) resulting from limited energy resources and unreliable channels. The framework integrates three techniques: half-duplex two-way relaying (HD-TWR), digital network coding (DNC), and rateless codes. Although these techniques have been extensively studied in isolation, a comprehensive analysis of their joint performance is provided as the main contribution. The proposed scheme leverages the energy efficiency of HD-TWR, the transmission reduction capability of DNC, and the retransmission-free resilience of rateless codes. Simulation results show that the integrated framework significantly reduces OP, offering a robust and practical solution to enhance the reliability enhancement. Furthermore, the impact of optimal relay node placement is investigated through parameter adjustments in the simulation stage to maximize performance gains.

This study examines a systematic energy-flow analysis framework to quantify how variations in key vehicle parameters influence power demand and overall energy consumption. The research emphasizes the integration of subsystem-level mechanical energy exchanges, Inner Mechanical Energy (IME) and Outer Mechanical Energy (OME), within a multibody dynamic model, in order to determine which design factors most significantly impact engine energy requirements. A full-vehicle model was developed using Siemens AMESim, and six simulations were conducted by varying parameters such as suspension stiffness, toe angle, Center-of-Gravity (CoG) position, aerodynamic drag, and road roughness. The simulations assessed IME–OME consistency, kinetic energy balance, and subsystem power contributions to understand how changes in these parameters affect the energy distribution within the vehicle system. The results show that tire–road interaction is the dominant source of energy loss, and that increasing suspension stiffness indirectly reduces engine energy demand by limiting tire deformation and minimizing associated dissipation, whereas unfavorable CoG shifts and higher aerodynamic drag increase total energy consumption. Among the configurations studied, one setup achieved a 2.9% reduction in engine energy relative to the reference case, confirming the sensitivity of vehicle energy demand to chassis-related factors. The results of this approach provide a quantitative basis for analyzing energy behavior in ground vehicles and offer valuable support for early-stage design decisions aimed at improving energy efficiency while maintaining handling stability and ride performance.