Project/Area Number |
08455474
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
船舶工学
|
Research Institution | KYUSHU UNIVERSITY |
Principal Investigator |
FUKUCHI Nobuyoshi Kyushu University Faculty of Engineering Professor, 工学部, 教授 (80039677)
|
Co-Investigator(Kenkyū-buntansha) |
HU Changhong Kyushu University Faculty of Engineering Research Associate, 工学部, 助手 (20274532)
SHINODA Takeshi Kyushu University Faculty of Engineering Associate Professor, 工学部, 助教授 (80235548)
|
Project Period (FY) |
1996 – 1997
|
Project Status |
Completed (Fiscal Year 1997)
|
Budget Amount *help |
¥7,000,000 (Direct Cost: ¥7,000,000)
Fiscal Year 1997: ¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 1996: ¥4,500,000 (Direct Cost: ¥4,500,000)
|
Keywords | Marine fire / Safe evacuation / Human factor / Smoke diffusion / Simulation / Smoke control / Walking speed / Abnormal action / フィールドモデル / 火災伝播 / 避難行動 |
Research Abstract |
The development of system reliability analysis of marine accidents originating from human error is regarded as being of major importance in recent years. This study presents an analytical method for the estimation of the risk evaluation of accidents during the functional design of marine systems. In the event of a ship fire, the intricacies of the fire spread phenomena and the accompanying human factor render the safety measures to be all the more difficult to establish. Fire smoke spreads rapidly and the smoke diffusion is apt to be dangerous even for persons away from the area of outbreak of the fire. Thus, for an estimation of an evacuation system is necessary to include the unexpected factors such as the ambiguity of human behavioral patterns, the reliability of a safe evacuation system is to be considered very carefully. However, there are no existing criteria to evaluate the safety of evacuation and the efficiency of smoke proof and smoke control systems, which were grasped those behaviors so far by simulations of smoke diffusion and evacuation considering human factor. This study defines a measure of risk due to smoke diffusion in the evacuation routes using a simultaneous simulation of smoke diffusion and evacuation. This risk index is compared between various safety systems and its validity is confirmed using model of a living space and common space in a typical cruise ship.
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