Hadiana, Asep Id and Kamal Baharin, Safiza Suhana and Othman, Zahriah and Putra, Eddie Krishna (2023) Improving first responder preparedness in indoor evacuation through advanced numerical simulation techniques. In: 2nd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2023, 23 June 2023 through 25 June 2023, Hybrid, Bali.
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Abstract
This research explores the use of advanced numerical simulation techniques, specifically PyroSim and Pathfinder, to enhance the preparedness of first responders in indoor evacuation scenarios. A six-floor building with two staircases was simulated during a fire emergency, providing valuable insights into the effectiveness of building design, evacuation procedures, and occupant behavior during an emergency. The analysis of the data revealed significant variations in response times between different floors and staircases, emphasizing the need for effective communication and coordination among first responders. The simulation identified potential areas for improvement, including increasing occupant awareness of evacuation procedures and improving smoke detection and evacuation measures. The article also examines the strengths and limitations of the numerical simulation approach and suggests future research directions such as the need for further validation of simulation models and the integration of real-time data into evacuation modeling techniques. Overall, the study demonstrates the potential benefits of using advanced numerical simulation techniques for improving first responder preparedness and enhancing evacuation planning. The insights gained from this study can help building managers and first responders make informed decisions to create safer and more resilient communities.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | First responders, Numerical simulation, Pathfinder, Pyrosim |
| Divisions: | Faculty Of Mechanical Technology And Engineering |
| Depositing User: | Anis Suraya Nordin |
| Date Deposited: | 17 Oct 2024 16:16 |
| Last Modified: | 17 Oct 2024 16:16 |
| URI: | http://eprints.utem.edu.my/id/eprint/28085 |
| Statistic Details: | View Download Statistic |
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