• Fire Science and Engineering
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• v.15 no.1
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• pp.93-99
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• 2001

This study aims to improve the Evacuation Performance o( the I)inc()unto-store in underground that is rapidly new shopping store in Korea. In this paper, The architectural properties of the floor plan and section was reviewed with egress focus, occupant load density of the Discount-store was surveyed and the procedure and method of performance based egress design for this occupancy was analysed with SIMULEX model and calculation method. As a result of modeling, more longer available safe egress time (ASET) is expected than required safe egress time (RSET)in underground discount-store. In order to improve the Evacuation Performance for this type occupancy, egress capacity including escape stair, aisle width, escape door is calculated with based on occupant load density and review of shopping cart's structure and size and maximum escape capacity of the cash counter.

• Journal of the Korean Society of Safety
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• v.8 no.2
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• pp.72-77
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• 1993

Available Safe Egress Time(ASET) is the time available for occupants to evacuate safely In compartment fire, and It depends on the time of fire detection and hazardous conditions. The purpose of thls study Is to provide an analytical basis and experimental data for estimating the fire growth in compartments and the available safe egress time, and to compare the experimental data with those proposed equations. As a result, hazard order Is poison to CO, descent of smoke layer, poison to $CO_2$, burn to hot smoke layer, and lack of $O_2$, ASET is lengthened in this order. Also, The more fire load is increased, the more ASET is shorted.

• Fire Science and Engineering
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• v.14 no.4
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• pp.17-22
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• 2000

For life safety design of shopping mall, we selected a shopping mall, and calculated the evacuation time of means of egress. It is calculated by two kind of evacuation method. One is the computer simulation model, EXODUS. The other is Japan's method. Study way is a model structure study, selecting real shopping mall and setting scenario, calculating the evacuating time. result of study, evaluation time is very high. Therefore we confirmed that the building of means of egress is not fit to evacuation more the capacity of setting population.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.316-322
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• 2009

The more repetitive, complex and objective the work, the more effective automation is. Code checking is an example of this. Checking building codes through a thick set of drawings is error-prone and time-consuming. In order to overcome this problem, several organizations have initiated efforts to automate building-code checking. Initiated study mainly focused on checking codes for invalidation, required size and crash, and then area of checkable codes have been expanding. But, it has not been considered for codes regarding anti-disaster/egress, which is also issued these days. This study is about how to automatically check codes for anti-disaster and egress based on Korea building codes. The codes can be categorized as five sections: egress way, material/capability, principals of evacuation, evacuation stairway and fire protection partition. To check automatically, there are problems, such as expression of codes for egress and limitation of extractable information from the BIM model. This paper shows what problems exist and assignments to be resolved. Also, current developing processes are presented, and suggestions are made about the direction for the work that remains.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2232-2241
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• 2010

A case study of fire risk analysis was conducted for train coach which has no gangway doors between coaches. The analysis boundary was limited to the time of outgoing from the coaches for it was train fire risk analysis. ASET(available safe egress time) and RSET(required safe egress time) methodology was used for calculating the dead. 4 liters of gasoline and cable fire at the electric cabinet and the standard fire of EN 45545 were selected for the fire sources. The fire were considered to be occurred at 3 different locations in the car. The train had 3 cases of driving scenarios. The result of all event was summarized for remained tunnel and station egress step.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.6
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• pp.111-120
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• 2021

When a fire occurs in a commercial building, the evacuation route is complicated and the direction of smoke and flame is similar to that of the egress route of occupants, resulting in many casualties. Performance-based evacuation design for buildings is essential to minimize human casualties. In order to apply the performance-based evacuation design to buildings, it requires a complex fire simulation for each building, demanding a large amount of time and manpower. In order to supplement this, it would be very useful to develop an Available Safe Egress Time (ASET) prediction model that can rationally derive the ASET without performing a fire simulation. In this study, the correlations between fire temperature with visibility and toxic gas concentration were investigated through a fire simulation on a commercial building, from which databases for the training of artificial neural networks (ANN) were created. Based on this, an ANN model that can predict the available safe egress time was developed. In order to examine whether the proposed ANN model can be applied to other commercial buildings, it was applied to another commercial building, and the proposed model was found to estimate the available safe egress time of the commercial building very accurately.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.123-128
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• 2007

To predict the fire and smoke hazards of rail car with a evacuation model is essential for achieving life safety of all passengers in the event of fire. Currently, more than 30 different evacuation models are available and expected increasing demand in high population density areas as a metro train station. This paper includes brief history of evacuation models and review some key factors of design egress scenario, these are pre-movement time, egress route, location of fire, overturned carriage, and configuration of rail car. Applying the egress model for rail passenger car, users need to confirm the model's ability of physiological, psychological responses effecting to pre-movement time of individual or crowd unit, representation of complexity of carriage layout, and evaluation of effects of smoke.

• Korean Journal of Computational Design and Engineering
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• v.15 no.5
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• pp.333-342
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• 2010

This paper describes a novel quantitative discomfort evaluation method based on motion data and its application to discomfort analysis of ingress/egress motions for cars. To develop the discomfort evaluation model, we introduced the discomfort regression curve and the range of motion for each degree-of-freedom of the joints of a whole human body. The maximum discomfort value for the joints at a specific time is selected to represent the discomfort value of the whole body at the time. The results of the experiments and questionnaires support the claim that our discomfort measure matches experimental subjective discomfort levels.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.253-260
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• 2015

In this study, using the FDS as the fire simulation and evacuation simulations of the Pathfinder, set the main control room of the building to the fire point fire safety assessment studies were carried out. At first the quantitative result such as distribution of visibility as time passing, distribution of temperature, distribution of CO density produced results using fire-simulation and evacuation-simulation was carried out based on the result that produced the final safety evaluation result as being calculated of evacuation time. As the risk increased with the distribution of visibility at the result of fire-simulation, evacuation-simulation was carried out using the result. Finally the result was made 127.9 sec that everyone could evacuate. The numerical results are analyzed in case of the places in the building required safe egress time for safety a as the analysis to be no more than available safe egress time was analyzed to be secured. The results of this safety evaluation represent that more smooth evacuation safety performance can be secured by linking the event of fire firefighting equipment as a result of simulating the worst conditions.

• Fire Science and Engineering
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• v.33 no.3
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• pp.84-90
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• 2019

In this study, a fire and evacuation inside an electronic equipment room in environmental energy facilities were conducted and evaluated using a numerical analysis method. In the fire simulation, the visual distance, temperature distribution, and CO concentration distribution were analyzed using FDS. Based on the results, the Pathfinder program, which is an evacuation simulation, was used to calculate the evacuation time of the occupants and derive an evacuation safety evaluation. As a result, the Available safe Egress time (ASET) of P-01 and P-05 was 203.3 and 398.6 s, respectively. For the Required safety Egress time (RSET) results, all evacuees were evacuated at all points and the safety of the evacuee was secured this simulation showed that the safety evaluation is based on the non - operation of the fire - fighting equipment to improve the safety, making it possible to secure better evacuation safety performance owing to the fire of other fire - fighting facilities.