• 한국방재학회:학술대회논문집
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• 2009.02b
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• pp.102-102
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• 2009

• 한국방재학회:학술대회논문집
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• 2009.02b
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• pp.161.2-161.2
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• 2009

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.133-142
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• 2010

P-type fire control panel, currently in use, has a big hazard that can cause the large scaled human death tolls and property damage in the massive fire because it is difficult to identify in real time the location of fire outbreak and whether search-device are broken down or not. In this paper, I suggest that the integrated fire automation system on based p-type fire control panel should be used, which can detect in real time the signal that occur when whether search-device are broken down or not, and can detect the arisen circumstances information of p-type fire control panel on the fire signal in the far away. The devised systems have designed and embodied the analysis of circumstances information and module that can analyze the circumstances information from the p-type fire control panel and the part of internet access installment which can gather and deliver the circumstances information from the fire prevention facility receiver.

• Korean Chemical Engineering Research
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• v.45 no.1
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• pp.103-108
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• 2007

HAZOP analysis is a systematic method on the basis of the experts' experience and knowledge and is used for hazard identification and risk assessment by using brainstorming method. So, HAZOP analysis has been applied to major chemical industries efficiently. But it does not apply to small and midium chemical industries because of the insufficiency of the experts. Hence, in this study a new hazard identification method is proposed by modifying complexity and expertise of the HAZOP analysis and will be contributed to improve risk management for small and midium chemical industries.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.149-156
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• 2017

This study investigates fire-retardant performances and combustion/thermal characteristics of fire-retardant treated wood by comparing them with those of fire-retardant untreated wood from the expreimental resutls of cone calorimeter and thermo-gravimetric(TG) analyzer. Hazardousness of combustion product gases for fire-retardant treated wood and untreasted wood were also observed from the results of internal finish material incombustibility test according to the Korea standard code of KS F 2271. In this study, we also tried to improve the fire retardant performance of wood by applying fire-retardant chemical composites, and to secure the fire safety performance in buildings. Red pine (Pinus densiflora) was selected as a test specimen because it is mostly used as a building material in Korea. Fire retardant chemical composites (FRCs) were prepared by mixing boron, phosphorous, and nitrogen species and treated by press-impregnation method. Water-based FRCs were composed of 3% boric acid($H_3BO_3$), 3% borax decahydrate($Na_2B_4O_7$), 8% ammonium carbonate($(NH_4)_2CO_3$), diammonium phosphate ($(NH_4)_2HPO_4$) varied from 10-30% and potassium carbonate($K_2CO_3$) varied from 10-30%. From the test results of cone calorimeter, TG analysis and gas hazard assessments, newly proposed were the optimal composition and production methods of FRCs which can sufficiently meet fire-retardant level 3 based on Korea law of construction. Thus, the FRCs, developed in this study, are anticipated to contribute to the improvement of fire safety and widespread of usage in wood as building materials.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.1
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• pp.57-65
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• 2024

In a fire-resistant structure, uncertainties arise in factors such as ventilation, material elasticity modulus, yield strength, coefficient of thermal expansion, external forces, and fire location. The ventilation uncertainty affects thefactor contributes to uncertainties in fire temperature, subsequently impacting the structural temperature. These temperatures, combined with material properties, give rise to uncertain structural responses. Given the nonlinear behavior of structures under fire conditions, calculating fire fragility traditionally involves time-consuming Monte Carlo simulations. To address this, recent studies have explored leveraging machine learning algorithms to predict fire fragility, aiming to enhance efficiency while maintaining accuracy. This study focuses on predicting the fire fragility of a steel moment frame building, accounting for uncertainties in fire size, location, and structural material properties. The fragility curve, derived from nonlinear structural behavior under fire, follows a log-normal distribution. The results demonstrate that the proposed method accurately and efficiently predicts fire fragility, showcasing its effectiveness in streamlining the analysis process.

• Journal of the Society of Disaster Information
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• v.10 no.1
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• pp.71-83
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• 2014

This study carried out an experiment in order to compare thermal characteristics after collecting dust generated in the process of disposing of waste tire, plywood flour in the process of manufacturing plywood, salicylic acid dust in the process of manufacturing functional soap, and dust in the process of manufacturing wheat powder, which has potential fire and explosion hazard. According to the results of experiment, the analysis showed that all samples subject to the experiment were in the condition where heat flux decreased and temperature decreased as the quantity of added talc was increased. This shows that decomposition rate decreased, and hazard decreased. However, in all of samples subject to the experiment, as heating rate increased, endothermic onset temperature moved to the low-temperature part, and the amount of absorbed heat was largely increased. This showed that the decomposition hazard of sample increased as heating rate increased, according to the analysis. Besides, TGA experiment results showed that thermal stability was secured because total weight loss decreased as the amount of talc was increased for all samples subject to the experiment regarding the ratio of weight loss. It is expected that the continuous research and supplementation of dust explosion mechanism in the future will contribute to the establishment of measures for the effective dust explosion prevention.

• Fire Science and Engineering
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• v.22 no.3
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• pp.239-245
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• 2008

In this study, we researched about characteristics of many kinds of tank cars for carrying hazard materials and performed structural strength evaluation using finite element analysis for tank of asphalt tank car to suggest the efficient analysis method that can develop accuracy regarding to characteristics of tank cars. For this, we analyzed the asphalt tank refer to JIS E 7102 (Design Method for Tanks of Tank Cars). As results, we could show that the maximum stress is applied at the area supported by saddle and the maximum stress is under a criterion suggested from JIS E 7102. Therefore we verified that this asphalt tank car had enough structural strength.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.49-54
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• 2010

The wooden cultural assets have the characteristics such as the fast spread of flame and leading to total destruction. Therefore, there is a need for a system for early countermeasure of recognized problem, along with the technological response for accurately recognizing the situation, for the prevention and early suppression of fire. To utilize such technology for detecting the situation through the latest ubiquitous technology and for a quick response to suppress fire, the ubiquitous sensor network (USN) technology, flame detector, image sensor, USN-based cultural asset disaster prevention management application case and malfunction identification system realization were examined in this study and the study result was presented focusing on the flame detector malfunction identification system for the ubiquitous-type cultural asset disaster prevention system.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.3 s.33
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• pp.41-52
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• 2005

The high density of population and building; can cause catastrophe in urban areas when natural or artificial disasters break out. The aim of this paper is to assess comprehensive disasters risk of urban areas by Geospatial Information System. For this purpose, we classified disasters risk of urban areas into low categories: flood, fire, building-collapse, and shelter, and then determined factors for hazard risk assessment respectively. The results of hazard assessment can be applied to minimize the demage of disasters in establishing the urban management planning. For more systematic and professional approach the further research is need to consider more disaster assessment factors and join with related experts.