• Title/Summary/Keyword: Fire safety design

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FIRE ENGINEERING IN EAST ASIA

  • Bressington, Peter
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 1997.11a
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    • pp.49-57
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    • 1997
  • This paper examines the advantages of designing fire safety from first principles and the potential for this approach in East Asia. In order to show how this approach can be used, actual case studies are discussed. These studies demonstrate the way in which fire science and research can have a positive impact on fire safety design for buildings.

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Quantitative Fire Risk Assesment for the Subway Platform Types (지하철 승강장 형식에 따른 정량적 화재 위험성 평가)

  • Rie, Dong-Ho;Kim, Ha-Young
    • Journal of the Korean Society of Safety
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    • v.21 no.6 s.78
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    • pp.1-6
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    • 2006
  • Subway platform is divided into Side-platform type and Center-platform type. In this study does quantitative fire risk assesment of subway platform types in numerical analysis by using CFD model. From the result of this study, 1) All exhaust mode was low-end result it seems most fire risk at Side-platform station. 2) All exhaust mode was low-end result it seems most fire risk at Center-Platform station. 3) When comparing same type exhaust mode of Side-platform and Center-platform that last thing was visible $9.1{\sim}72.34%$ low-end fire risk. Center-platform is more opera-tive than Side-platform that reduce fire risk when that was same dimension and external environment. Designer look upon a fire characteristic of subway platform types when he make smoke control air volume and platform area design.

A study on Noise Generation and Awareness of the Fire Alarm Sound in the Factory (공장소음으로 인한 화재 경보음 인지 영향정도에 관한 연구)

  • Lee, Young-Sam
    • Journal of the Korea Safety Management & Science
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    • v.17 no.4
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    • pp.97-103
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    • 2015
  • The people who are in the noise factory are difficult to hear and recognize about fire and to evacuate quickly when a fire occurs. This study was conducted to analyze workplace's background noise of 31 factories in Incheon and to know the workplace noise level comparing to fire alarm sound level. The measured average noise level was 96.8dB(A). Noise level of measured result was exceeded as 6.8dB(A) comparing to NFSC (National Fire Safety Code) noise level of 90dB. NFPA suggests that when background noise exceeds 85dB or more than that, other methods should be considered to know alarm sound. Also fire alarm sound should exceed more than 15dB(A) comparing to background noise level. Therefore it was concluded that the design of the fire alarm systems should not be applied to the workplace without considering background noise and it needs to be improved with regulations and the systems.

Numerical Investigation of Residual Strength of Steel Stiffened Panel Exposed to Hydrocarbon Fire

  • Kim, Jeong Hwan;Baeg, Dae Yu;Seo, Jung Kwan
    • Journal of Ocean Engineering and Technology
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    • v.35 no.3
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    • pp.203-215
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    • 2021
  • Current industrial practices and approaches are simplified and do not describe the actual behavior of plated elements of offshore topside structures for safety design due to fires. Therefore, it is better to make up for the defective methods with integrated fire safety design methods based on fire resistance characteristics such as residual strength capacity. This study numerically investigates the residual strength of steel stiffened panels exposed to hydrocarbon jet fire. A series of nonlinear finite element analyses (FEAs) were carried out with varying probabilistic selected exposures in terms of the jet fire location, side, area, and duration. These were used to assess the effects of exposed fire on the residual strength of a steel stiffened panel on a ship-shaped offshore structure. A probabilistic approach with a feasible fire location was used to determine credible fire scenarios in association with thermal structural responses. Heat transfer analysis was performed to obtain the steel temperature, and then the residual strength was obtained for the credible fire scenarios under compressive axial loading using nonlinear FEA code. The results were used to derive closed-form expressions to predict the residual strength of steel stiffened panels with various exposure to jet fire characteristics. The results could be used to assess the sustainability of structures at risk of exposure to fire accidents in offshore installations.

An Experimental Study of Smoke Movement and Evacuation in Road Tunnel (도로터널내 연기거동 및 피난에 관한 실험적 연구)

  • Kang Hyun-Wook;Lee Ho-Seok;Shin Young-Wan;Lee In-Ki
    • 한국터널공학회:학술대회논문집
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    • 2005.04a
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    • pp.335-340
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    • 2005
  • Recently, According to increased tunnel accident, a matter of concern in tunnel fire safety is on an interesting trend. In case of tunnel fire, Evacuation is a primary factor for refugee safety. Therefore safety measures should be taken to increase capability of evacuation. Evacuation walking speed and characteristics of movement in tunnel is differ from building or outdoor site so, these characteristics must be considered in tunnel safety planning. In this study has performed to evaluate the smoke movement and characteristics of evacuation by full-scale test method. and aimed for basic data establishment in characteristics of evacuation for tunnel safety system design.

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Applying Fire Risk Analysis to Develop Fire-safe Modular Walls: Guidance to Material Selection, Design Approach and Construction Method

  • Lim, Seokho;Chung, Joonsoo;Kim, Mihyun Esther
    • Architectural research
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    • v.24 no.2
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    • pp.21-27
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    • 2022
  • For the past decade, South Korea had experienced catastrophic building fires, which resulted in consider-ably high number of casualties. This motivated research to develop fire-safe wall assemblies. In this study Fire Risk Analysis (FRA) is conducted as part of the project designing phase to ensure fire safety of the final product. Traditional approach was to consider fire performance at the end of the designing stage, when PASS/FAIL fire test results are required to be submitted to the Authority Having Jurisdiction (AHJ). By applying a fire risk analysis to guide the designing phase, overall fire safety of a wall assembly can be achieved more systematically as conducting FRA allows designers to clearly identify elements that are more vulnerable to fire and simply replace them with other practical options. Severity of fire risk is determined by considering the fire hazards of a wall assembly such as the exterior layer, insulation, vertical connectivity, and external ignition sources (e.g., photovoltaic panels). Frequency of fire risk is assessed based on the factors affecting fire likelihood, which are air cavity and fire-stopping applied in the design, and random design changes occurring during on-site construction. Fire risk matrix is proposed based on these fire risk factors and efforts to reduce the fire risk level associated with the wall assembly are given by systematically assessing the fire risk factors identified from fire risk analysis. Current study demonstrates how fire risk analysis can be applied to develop fire-safe walls by reducing the relevant fire risks- both severity and frequency.

A Study on the Development of AI-Based Fire Fighting Facility Design Technology through Image Recognition (이미지 인식을 통한 AI 기반 소방 시설 설계 기술 개발에 관한 연구)

  • Gi-Tae Nam;Seo-Ki Jun;Doo-Chan Choi
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.883-890
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    • 2022
  • Purpose: Currently, in the case of domestic fire fighting facility design, it is difficult to secure highquality manpower due to low design costs and overheated competition between companies, so there is a limit to improving the fire safety performance of buildings. Accordingly, AI-based firefighting design solutions were studied to solve these problems and secure leading fire engineering technologies. Method: Through AutoCAD, which is widely used in existing fire fighting design, the procedures required for basic design and implementation design were processed, and AI technology was utilized through the YOLO v4 object recognition deep learning model. Result: Through the design process for fire fighting facilities, the facility was determined and the drawing design automation was carried out. In addition, by learning images of doors and pillars, artificial intelligence recognized the part and implemented the function of selecting boundary areas and installing piping and fire fighting facilities. Conclusion: Based on artificial intelligence technology, it was confirmed that human and material resources could be reduced when creating basic and implementation design drawings for building fire protection facilities, and technology was secured in artificial intelligence-based fire fighting design through prior technology development.

Trend of Fire Outbreaks in Ghana and Ways to Prevent These Incidents

  • Addai, Emmanuel K.;Tulashie, Samuel K.;Annan, Joe-Steve;Yeboah, Isaac
    • Safety and Health at Work
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    • v.7 no.4
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    • pp.284-292
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    • 2016
  • Background: In Ghana, fire incidents have become a regular occurrence, with thousands of lives and millions of dollars lost every year. Hardly a day passes without news of a fire outbreak in some part of Ghana, causing fear and panic among the people. This generates much discussion centering on rumors relating to politics, sabotage, misfortune, religious differences, etc. This article seeks to discuss the trend of fire incidents occurring in Ghana from 2000 to 2013 and the different ways to prevent these incidents. Methods: The pattern of fire incidence in Ghana as a whole as well as in each region is discussed. The study took into consideration the causes, mechanisms, as well as preventive measures against the fire menace. Data were obtained from the head office of Ghana's national fire service. Results: It was noticed that in general the rate of fire incidence increased each year. This increase was attributed to several factors: rate of population growth and industrialization, unstable electricity, urbanization, negligence, illegal electrical connection, etc. The cause of fire was categorized into domestic, industrial, vehicular, institutional, electrical, commercial, bush, and others. Among these causes, domestic fire accounted for 41% of the total number of fire incidents in the country. Conclusion: Finally, this study presents several recommendations to help prevent and mitigate fire incidents in Ghana.