When fire occurs in an offshore platform, evacuation plays a vital role safeguarding the evacuees’ lives. How to efficiently evacuate minimize loss of life is dynamic problem, requiring continuing research effort with changing technologies. In this research, optimisation model proposed determine optimized route scenarios platforms. Firstly, road network platform built Geographic Information Sys...

This manuscript shows how the connection and interaction between a process dynamic simulator and a dynamic accident simulator allow improving operators training, accident investigation, and safety management, by better modeling the feedbacks existing among process units and accidental events. In this perspective, the manuscript presents a rather simplified case study that allows simulating the ...

Korea’s first lunar mission, the Korea Pathfinder Lunar Orbiter (KPLO), aims to launch in mid-2022 via Space-X Falcon-9 vehicle. For successful flight operation of KPLO, Aerospace Research Institute (KARI) has designed and developed Flight Dynamics Subsystem (FDS). FDS is one subsystems KPLO Deep-Space Ground System (KDGS), which responsible for overall dynamics-related operation. currently suc...

BACKGROUND Forest fuel treatments have been proposed as tools to stabilize carbon stocks in fire-prone forests in the Western U.S.A. Although fuel treatments such as thinning and burning are known to immediately reduce forest carbon stocks, there are suggestions that these losses may be paid back over the long-term if treatments sufficiently reduce future wildfire severity, or prevent deforesta...

Forest fires are an important environmental problem. This paper describes a methodology for constructing an intelligent system which aims to support the human expert's decision making in fire control. The idea is based on first implementing a fire spread simulator and on searching for good decision policies by reinforcement learning (RL). RL algorithms optimize policies by letting the agents in...

This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application. Usually, a prediction is made using a forest fire simulator which receives several inputs (fire environment description) and it returns the state of the fire for a later instant of time. Ha...

In this paper numerical modeling of fire development in a single compartment railway passenger car has been performed using the FDS software. The simulation was focused on dynamic calculation temperature field and heat release rate. Obtained results were compared with experimental satisfactory agreement detected. It can be concluded that used for simulating different scenarios cars.