Showing 941 - 960 results of 1,571 for search '"fire"', query time: 0.06s Refine Results
  1. 941
  2. 942
  3. 943

    Review on the Durability of Polypropylene Fibre-Reinforced Concrete by Yanzhu Liu, Liang Wang, Ke Cao, Lei Sun

    Published 2021-01-01
    “…This paper summarizes the influence of polypropylene fibre on the durability of concrete, including drying shrinkage, creep, water absorption, permeability resistance, chloride ion penetration resistance, sulfate corrosion resistance, freeze-thaw cycle resistance, carbonation resistance, and fire resistance. The authors analysed the effects of fibre content, fibre diameter, and fibre hybrid ratio on these durability indexes. …”
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  4. 944

    Study of the Penetration and Diffusion Characteristics of Inorganic Solidified Foam in Rock Fractures by Yi Lu, Tao Wang, Qing Ye

    Published 2017-01-01
    “…To explore the penetration and diffusion law in coal and rock fractures when inorganic solidified foam (ISF) is used to prevent coal fire, the penetration experiment was conducted; the results showed that the penetration pressure fluctuates within a certain range and decreases with the diffusion distance. …”
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  5. 945

    Utilisation du bois dans les pêcheries côtières du Cameroun by Hyacinthe Angoni, Alphonse Pouokam Tatchim, Bernard Aloys Nkonmeneck, Elie Nguekam

    Published 2015-06-01
    “…Fish drying represents 60% of the various uses of the fire wood. In comparison with the classic drying method, the improved new drying system allows the reductions of the wood consumption in the level of 50%. …”
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  6. 946

    Impacts of Thermal Inertia Factor on Adiabatic Decomposition of 40% Mass Content DCP in Ethyl Benzene by Xiaojuan Wu, Liping Chen, Guoning Rao, Wanghua Chen, Ruili Yin

    Published 2020-01-01
    “…To reduce the fire and explosion accident of dicumyl peroxide (DCP) in experiment and production, the thermal hazards of DCP and 40% mass content DCP in ethyl benzene (40% DCP) have been studied by the differential scanning calorimeter (DSC) and the accelerating rate calorimeter (ARC) in this paper. …”
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  7. 947
  8. 948

    Component Composition of Aerosols and their Dynamics in the Atmosphere of the Baikal South-Eastern Coast by Galina S. Zhamsueva, Alexander S. Zayakhanov, Alexey V. Starikov, Ayuna L. Dementeva, Tamara V. Khodzher, Lyudmila P. Golobokova

    Published 2023-11-01
    “…It was revealed that the dominant aerosol ions are SO42−, NO3−, Cl−, Ca2+, Na+. In fire periods, an increase in the proportion of nitrate ions, chloride ions, calcium ions, sulfate ions, bromide ions in suspended particles on average up to 10 times or more compared to background conditions, as well as the proportion of metal ions (calcium, potassium, sodium). …”
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  9. 949

    Experimental studies to evaluate tensile and bond strength of Stainless-Steel Wire Mesh (SSWM) by P. V. Patel, D. D. Joshi, R. V. Makawana

    Published 2023-07-01
    “…In this study, use of Stainless-Steel Wire Mesh (SSWM) is explored, as FRPs are having limitations like high cost, less fire resistance, and brittle behavior. The experimental studies are conducted to evaluate the mechanical properties of the SSWM, to explore its feasibility as a strengthening material. …”
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  10. 950

    FiberO for an automated quantitative analysis of fibers orientation and organization in biological fibrous tissues by Asier Muñoz, Anxhela Docaj, Julen Fernandez, Alessandra Carriero

    Published 2025-01-01
    “…FiberO outperformed Directionality and OrientationJ, two open-source plugins available in ImageJ, and FiberFit and CT-FIRE, in the calculation and plotting of fibers orientation in reference images with known fibers orientation. …”
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  11. 951
  12. 952

    A Study on Optimum Mixture Ratio of Reactive Powder Concrete by Mingyang Chen, Wenzhong Zheng

    Published 2018-01-01
    “…The upper envelope value of the steel fibers is required for the structure to resist appropriately against the fire. According to the test results, the mixture ratio formula is proposed through considering the characters of different compositions and curing methods. …”
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  13. 953
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  16. 956

    EE-SAMS: An adaptive, SNN based energy-efficient data aggregation framework for agrovoltaic monitoring systems by Blessina Preethi R, Berin Shalu S, Saranya Nair M, Vergin Raja Sarobin M

    Published 2025-03-01
    “…At the aggregator level, feature extraction and data classification are conducted through Conv1D and MaxPooling layers, with classification powered by a modified Spiking Neural Network (SNN) using the Adaptive Exponential Integrate-and-Fire (AdEx) model, achieving a high classification accuracy of 99.27%. …”
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  17. 957

    Misfire Fault Diagnosis Method for Diesel Engine Based on MEMD and Dispersion Entropy by Cheng Gu, Xin-Yong Qiao, Huaying Li, Ying Jin

    Published 2021-01-01
    “…As a main source of power, diesel engines are widely used in large mechanical systems. Fire failure is a kind of common fault condition, which seriously affects the power and economy of the diesel engine. …”
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  18. 958

    Sanitary and hygienic issues in the design of individual heat supply systems by A. L. Toropov

    Published 2024-10-01
    “…The owner of the household determines how much hot water he needs, what the temperature in the room should be. It is important that fire safety, environmental standards, sanitary standards and standards of energy allocated per household are not violated. …”
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  19. 959

    Exploring Men’s Experiences of Engagement With General Practice: A Qualitative Study by Ruth Mursa, Christopher Patterson, Gemma McErlean, Elizabeth Halcomb

    Published 2025-02-01
    “…Semi-structured interviews were undertaken with 17 male staff and volunteers of the New South Wales Rural Fire Service about their experiences, attitudes, and preferences for general practice engagement. …”
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  20. 960

    Assessing Wildfire Risk in South Korea Under Climate Change Using the Maximum Entropy Model and Shared Socioeconomic Pathway Scenarios by Jukyeong Choi, Heemun Chae

    Published 2024-12-01
    “…The model utilized historical fire occurrence data and was trained using 12 environmental variables encompassing climate, topography, vegetation, and socioeconomic factors. …”
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