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Search Results (17)
  • Open Access

    ARTICLE

    Using Image Processing Technology and General Fluid Mechanics Principles to Model Smoke Diffusion in Forest Fires

    Liying Zhu*, Ang Wang, Fang Jin

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1213-1222, 2021, DOI:10.32604/fdmp.2021.017572

    Abstract In the present study, the laws of smoke diffusion during forest fires are determined using the general principles of fluid mechanics and dedicated data obtained experimentally using an “ad hoc” imaging technology. Experimental images mimicking smoke in a real scenario are used to extract some “statistics”. These in turn are used to obtain the “divergence” of the flow (this fluid-dynamic parameter describing the amount of air that converges to a certain place from the surroundings or vice versa). The results show that the divergence of the smoke depends on the outside airflow and finally tends to zero as time passes.… More >

  • Open Access

    ARTICLE

    A Numerical Study on the Extinguishing Performances of High-Pressure Water Mist on Power-Transformer Fires for Different Flow Rates and Particle Velocities

    Yongheng Ku1, Jinguang Zhang2,3, Zhenyu Wang3,4, Youxin Li3,5, Haowei Yao3,5,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1077-1090, 2021, DOI:10.32604/fdmp.2021.015779

    Abstract In order to study the extinguishing performance of high-pressure-water-mist-based systems on the fires originating from power transformers the PyroSim software is used. Different particle velocities and flow rates are considered. The evolution laws of temperature around transformer, flue gas concentration and upper layer temperature of flue gas are analyzed under different boundary conditions. It is shown that the higher the particle velocity is, the lower the smoke concentration is, the better the cooling effect on the upper layer temperature of flue gas layer is, the larger the flow rate is and the better the cooling effect is. More >

  • Open Access

    ARTICLE

    Numerical Simulation of Fire-Smoke Diffusion Caused by Vehicles in a Tunnel

    Li Lei*, Wukai Chen, Huiling Li, Shuai Shi

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 837-856, 2020, DOI:10.32604/fdmp.2020.09631

    Abstract Urban tunnels are generally narrow and fire smoke can hardly diffuse. In the present study, numerical simulation is used to analyze the diffusion of high temperature smoke produced by fire inside a specific tunnel (the Kaiyuan tunnel). The results are compared with similar data relating to other tests to determine the validity of the numerical method. Moreover, the critical velocity obtained by numerical simulation of 5 MW, 20 MW, and 50 MW fires in curved and linear sections of the considered tunnel is compared with the values obtained using empirical formulas. The results show that, for the tunnel ventilation design,… More >

  • Open Access

    ARTICLE

    Preparation and Characterization of Tung Oil Toughened Modified Phenolic Foams with Enhanced Mechanical Properties and Smoke Suppression

    Fei Song1,2, Puyou Jia1,*, Caiying Bo1, Xiaoli Ren1, Lihong Hu1, Yonghong Zhou1,*

    Journal of Renewable Materials, Vol.8, No.5, pp. 535-547, 2020, DOI:10.32604/jrm.2020.09304

    Abstract In this study, we prepared a series of tung oil phenolic foams (TPF) by a one-pot method. The FT-IR and 1 H NMR spectra confirm the successful FriedelCrafts grafting of phenol to the long-chain alkyl group in tung oil. Modified TPFs exhibit enhanced mechanical properties, including compressive and flexural strengths of up to 0.278 ± 0.036 MPa and 0.450 ± 0.017 MPa, respectively, which represent increases of 68.75% and 86.72% over those of pure phenolic foam (PF). SEM spectra reveal the TPF microstructure to have uniform hexagonal cell morphology, narrower cell size distribution, and smaller mean cell size, suggesting enhanced… More >

  • Open Access

    ARTICLE

    Effect of cold storage, heat, smoke and charcoal on breaking seed dormancy of Arctostaphylos pungens HBK (Ericaceae)

    Jurado E1, M Márquez-Linares2, J Flores3

    Phyton-International Journal of Experimental Botany, Vol.80, pp. 101-105, 2011, DOI:10.32604/phyton.2011.80.101

    Abstract We evaluated the effect of cold storage and fire-related cues on seed germination of Arctostaphylos pungens HBK (Mexican Manzanita), a common shrub in poorly managed pine-oak forests in Durango, Mexico. Because this shrub has a high density in previously burnt forests, we investigated the effect that high temperatures, smoke and charcoal might have on seed germination of this species. Seeds were collected fresh from the shrubs. The highest germination was 30% for seeds that had been cold stored, heat shocked, past through smoke and watered with diluted charcoal. More >

  • Open Access

    ABSTRACT

    Numerical simulation of fire and smoke transport for an old-style apartment fire

    C.S. Lin, T.C. Chen, C.C. Yu ,M.E. Wu, Y.H. Tu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.15, No.3, pp. 103-110, 2010, DOI:10.3970/icces.2010.015.103

    Abstract Most old apartments in Taiwan lack fire prevention equipment, making fire awareness and escape difficult, as well as timely fire fighting, which leads to increased death tolls from fire incidents. This research utilizes Fire Dynamics Simulator (FDS) software to analyze and simulate the fire accident that occurred in a single old-style five-story apartment on Siu-Lang Road, Chung-Ho City. In this event, many occupant vehicles were parked at the front door of the apartment building or in nearby parking lanes. The fire engine can only drive in after vehicles were cleared from the fire area, a situation that delayed emergency fire… More >

  • Open Access

    ARTICLE

    Hybrid Deep VGG-NET Convolutional Classifier for Video Smoke Detection

    Princy Matlani1,*, Manish Shrivastava1

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 427-458, 2019, DOI:10.32604/cmes.2019.04985

    Abstract Real-time wild smoke detection utilizing machine based identification method is not produced proper accuracy, and it is not suitable for accurate prediction. However, various video smoke detection approaches involve minimum lighting, and it is required for the cameras to identify the existence of smoke particles in a scene. To overcome such challenges, our proposed work introduces a novel concept like deep VGG-Net Convolutional Neural Network (CNN) for the classification of smoke particles. This Deep Feature Synthesis algorithm automatically generated the characteristics for relational datasets. Also hybrid ABC optimization rectifies the problem related to the slow convergence since complexity is reduced.… More >

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