Submission Deadline: 30 November 2025 View: 40 Submit to Special Issue
Prof. Ciro Caliendo
Email: ccaliendo@unisa.it
Affiliation: Department of Civil Engineering, University of Salerno, Fisciano SA, 84084, Italy.
Research Interests: transportation engineering, risk analysis, methods and models for statistical analysis of road accidents, computational fluid dynamics modeling of fire in tunnels, people evacuation process, tunnel resilience, risks due to the transport of hydrogen and electric vehicles, concrete spalling, road pavement combustion, traffic simulation
Dr. Gianluca Genovese
Email: ggenovese@unisa.it
Affiliation: Department of Civil Engineering, University of Salerno, Fisciano SA, 84084, Italy.
Research Interests: risk analysis, computational fluid dynamics modelling, people evacuation process, road tunnel resilience, hydrogen safety, traffic simulation
Dr. Isidoro Russo
Email: isrusso@unisa.it
Affiliation: Department of Civil Engineering, University of Salerno, Fisciano SA, 84084, Italy.
Research Interests: statistical analysis of traffic accidents, computational fluid dynamics modelling, people evacuation process, road tunnel resilience, risk analysis, concrete spalling, road pavement combustion, traffic simulation, electric vehicle safety
In recent years, the increase in computational power has made Computational Fluid Dynamics (CFD) increasingly widespread, enabling faster, more detailed, and more accurate simulations. This has expanded its application, particularly in modeling fluid behavior in confined environments, such as road and railway tunnels, or underground parking structures, which present unique safety concerns, especially during a fire or explosion. Their physical configuration, limited ventilation, and evacuation problems make these spaces vulnerable to catastrophic occurrences, threatening people, infrastructure, and rescues. Furthermore, the increasing use of alternative energy carriers, such as electric, hydrogen, or gas-powered vehicles, brings new risk factors compared to traditional fuels. Therefore, safety assessment and control in these conditions require advanced tools capable of correctly modeling fire behavior, smoke spread, and heat effect, also considering the potential combustion of materials used for their construction.
This Special Issue aims to gather original contributions from research that exploit computational techniques to analyze, forecast, and limit the risk of fires and explosions inside enclosed structures more effectively. Of particular interest here are submissions using CFD modeling, high-performance computing simulations, driving simulators, artificial intelligence-based modeling, and data-driven methodologies. The purpose is to provide more effective approaches for structural and people safety evaluation, optimal fire protection design, and the overall increased resilience of these valuable infrastructures.
Potential topics include, but are not limited to the following:
-Resilience and risk analysis
-Transport and safety of dangerous goods
-Road pavement combustion
-Concrete spalling
-Traffic simulation
-Risk assessment and mitigation strategies
-Fire and explosion modeling
-Evacuation dynamics and user safety
-New energy carriers and their impacts
-Advanced statistical analysis and applications
Login
Register
Submit a Paper
Propose a Special lssue