A Numerical Fire Simulation-Model

1993 ◽  
Vol 3 (2) ◽  
pp. 111 ◽  
Author(s):  
G Wallace
Keyword(s):  
Simulation Model ◽  
Fire Management ◽  
Temporal Changes ◽  
Visual Simulation ◽  
Numerical Implementation ◽  
Fire Simulation ◽  
Considerable Potential ◽  
Ellipse Model

An extension of the simple ellipse model of a vegetation fire is presented. This facilitates numerical implementation, and can therefore incorporate irregular topographical features and temporal changes in burning conditions. The model has been encoded into an interactive PC program which gives a visual simulation of the spread of a fire on a graphics screen. The model has considerable potential for fire management.

Tunnel Fire Simulation Model With Multi-Layer Zone Concept

2008 ◽  
Vol 9 ◽  
pp. 713-723 ◽  
Author(s):  
K. Suzuki ◽  
Takeyoshi Tanaka ◽  
Kazunori Harada
Keyword(s):  
Simulation Model ◽  
Fire Simulation ◽  
Tunnel Fire

A room fire simulation model

1984 ◽  
Vol 8 (2) ◽  
pp. 105-111 ◽  
Author(s):  
B. Hägglund
Keyword(s):  
Simulation Model ◽  
Fire Simulation

scholarly journals A visual simulation model of a workstation in a rolling mill facility

1989 ◽  
Author(s):  
P. Lefrancois ◽  
M.-H. Jobin ◽  
M.-C. Roy ◽  
G. Gamache
Keyword(s):  
Simulation Model ◽  
Rolling Mill ◽  
Visual Simulation

Research on Movement Algorithms of the Police Wheeled Riot Armored Vehicle Based on the Visual Simulation

2013 ◽  
Vol 791-793 ◽  
pp. 1309-1313
Author(s):  
Hua Feng Lei ◽  
Ning Shan
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Visual Simulation ◽  
Real Motion ◽  
Mathematical Algorithms ◽  
Armored Vehicle

After having researched on mechanics and kinematics of the visual simulation model for the police wheeled riot armored vehicle, we got some mathematical algorithms which could realize real motion in some conventional terrains; and these algorithms will provide some theoretical bases for us to solve problems of controlling gestures for the vehicle. Moreover, in the Vega application platform, these algorithms are well meet the requirements of the armored vehicle with real-time and fidelity during in the visual simulation, and achieve real visual simulation effects for the vehicle.

Building fire simulation model. An overview

1985 ◽  
Vol 9 (2) ◽  
pp. 189-203 ◽  
Author(s):  
Rita F. Fahy
Keyword(s):  
Simulation Model ◽  
Fire Simulation ◽  
Building Fire

scholarly journals Monte Carlo Simulation of on-Street Parking Retribution Revenue Potential in Sleman Regency Indonesia

2018 ◽  
Vol 7 (3.30) ◽  
pp. 357
Author(s):  
Irwan Soejanto ◽  
Soejanto Soejanto ◽  
Yuli Dwi Astanti
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Model ◽  
Regional Autonomy ◽  
Considerable Potential ◽  
User Charges ◽  
Employment Centers ◽  
The Government ◽  
One Year ◽  
Wheeled Vehicles

Regional autonomy in Indonesia allows every region in Indonesia to manage its own finances. Each region shall be entitled to regulate their own locally-generated revenue, including taxes and user charges. One source of regional levies is from Public On-street parking. On-Street parking in Sleman Regency Yogyakarta has considerable potential. Sleman is a district with the largest population in DI Yogyakarta province of Indonesia. This is because most of the commercial, educational, health and employment centers are located in Sleman. There are several On-street parking centers in Sleman, and the most are in Depok District. So far, the parking retribution system of On-street parking is one of the sources of locally-generated revenue is to determine the value of certain contracts that must be paid by the parking operator to the government. The value of this contract is fixed monthly for one year and will be reviewed in the following year. The value of this fixed contract indicates the number and types of vehicles coming at that location are fixed every day. For example, if the parking rate of two-wheeled vehicles is IDR 1000 and the monthly contract value is IDR 400,000 then the parking location will only contain a maximum of 13 motorcycles every day. In fact, the frequency of vehicles and vehicle types is a variable that is probabilistic in nature. Therefore, this study will attempt to simulate the potential revenue of parking charges by entering on-street parking probabilistic elements. The result of this research is the combination and number of parking vehicles obtained from simulation result. This simulation model can then be used as a predictor of the potential revenue from on-street parking charge so that it can also be used to determine a more appropriate contract value policy.  

Parametric study of urban fire spread using an urban fire simulation model with fire department suppression

2013 ◽  
Vol 61 ◽  
pp. 217-225 ◽  
Author(s):  
Sizheng Li ◽  
Rachel A. Davidson
Keyword(s):  
Simulation Model ◽  
Parametric Study ◽  
Fire Department ◽  
Fire Spread ◽  
Fire Simulation ◽  
Urban Fire

scholarly journals In-field determination of drag through grass for a forest-fire simulation model

2008 ◽  
Author(s):  
P. M. Kenney ◽  
T. G. Keith ◽  
T. T. Ng ◽  
R. R. Linn
Keyword(s):  
Simulation Model ◽  
Forest Fire ◽  
Fire Simulation

Cost effectiveness of fire management strategies in southern Australia

2020 ◽  
Vol 29 (5) ◽  
pp. 427 ◽  
Author(s):  
T. D. Penman ◽  
B. A. Cirulis
Keyword(s):  
Risk Analysis ◽  
Prescribed Burning ◽  
Fire Management ◽  
Management Strategies ◽  
Fire Risk ◽  
Simulation Software ◽  
Bayesian Decision ◽  
Fire Simulation ◽  
Trade Offs ◽  
Increased Risk

Fire-management agencies invest significant resources to reduce the impacts of future fires. There has been increasing public scrutiny over how agencies allocate fire-management budgets and, in response, agencies are looking to use quantitative risk-based approaches to make decisions about expenditure in a more transparent manner. Advances in fire-simulation software and computing capacity of fire-agency staff have meant that fire simulators have been increasingly used for quantitative fire-risk analysis. Here we analyse the cost trade-offs of future fire management in the Australian Capital Territory (ACT) and surrounding areas by combining fire simulation with Bayesian Decision Networks. We compare potential future-management approaches considering prescribed burning, suppression and fire exclusion. These data combined costs of treatment and impacts on assets to undertake a quantitative risk analysis. The proposed approach for fuel treatment in ACT and New South Wales (NSW) provided the greatest reduction in risk and the most cost-effective approach to managing fuels in this landscape. Past management decisions have reduced risk in the landscape and the legacy of these treatments will last for at least 3 years. However, an absence of burning will result in an increased risk from fire in this landscape.

Sign in / Sign up

Export Citation Format

Share Document