Mohamed Gamal^1,#, Hamdy Ashour^1,#, Omar Huzayyin², Maran Marimuthu³, Ghulam E Mustafa Abro^4,*, Lina Mohamed¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 2027-2046, 2025, DOI:10.32604/fdmp.2025.067678 - 12 September 2025

Abstract Atrium spaces, common in modern construction, provide significant fire safety challenges due to their large vertical openings, which facilitate rapid smoke spread and reduce sprinkler effectiveness. Traditional smoke management systems primarily rely on make-up air to replace the air expelled through vents. Inadequate calibration, particularly with air velocity, can worsen fire conditions by enhancing oxygen supply, increasing soot production, and reducing visibility, so endangering safe evacuation. This study investigates the impact of make-up air velocity on smoke behaviour in atrium environments through 24 simulations performed using the Fire Dynamics Simulator (FDS). Scenarios include various fire… More >

Yuchen Zhao, Shulei Wu^*, Yaoru Wang, Huandong Chen^*, Xianyao Zhang, Hongwei Zhao

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5639-5657, 2023, DOI:10.32604/cmc.2023.037829 - 29 April 2023

Abstract Due to the rapid growth and spread of fire, it poses a major threat to human life and property. Timely use of fire detection technology can reduce disaster losses. The traditional threshold segmentation method is unstable, and the flame recognition methods of deep learning require a large amount of labeled data for training. In order to solve these problems, this paper proposes a new method combining You Only Look Once version 5 (YOLOv5) network model and improved flame segmentation algorithm. On the basis of the traditional color space threshold segmentation method, the original segmentation threshold… More >

ZHANG Rong-gang^{1, 2,*}, ZHANG Hong-tao³, BAI Yu-xing³, GAO Jian-ling³, ZHANG Lai-yong², XU Bing-ye¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.18, No.1, pp. 17-18, 2011, DOI:10.3970/icces.2011.018.017

Abstract Based on the upper bound theorem, the fire resistance is studied using the combination of element collapse mechanisms of steel frames, where the element collapse mechanisms are automatically determined from independent mechanisms. The fire limit load is calculated by solving a nonlinear mathematical programming. The computing procedure is programmed by FORTRAN language. Results show that this method is useful to find the collapse mechanism with the lowest fire limit load, which can provide a theoretical and practical way for the fire design of steel frame structure. More >

Rong-gang Zhang^1,2, Hong-tao Zhang³ , Yu-xing Bai³, Jian-ling Gao³, Lai-yong Zhang² , Bing-ye Xu¹

CMC-Computers, Materials & Continua, Vol.20, No.3, pp. 243-250, 2010, DOI:10.3970/cmc.2010.020.243

Abstract Based on the upper bound theorem, the fire resistance is studied using the combination of element collapse mechanisms of steel frames, where the element collapse mechanisms are automatically determined from independent mechanisms. The fire limit load is calculated by solving a nonlinear mathematical programming. The computing procedure is programmed by FORTRAN language. Results show that this method is useful to find the collapse mechanism with the lowest fire limit load, which can provide a theoretical and practical way for the fire design of steel frame structure. More >