Library Subscription: Guest
ICHMT DL Home Current Year Archives Executive Committee International Centre for Heat and Mass Transfer

APPLICATION OF ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM TO OPTIMIZATION OF DESIGN PARAMETERS IN COMPARTMENT FIRE

Richard Kowk Kit Yuen
Department of Building and Construction, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong

Eric Wai Ming Lee
Fire Safety and Disaster Prevention Research Group, (Department of Building and Construction, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong (SAR), P.R. China)

W. K. Kwok
Hutchison Whampoo Properties Ltd., (3/F One Harbourfront, 18 Tak Fung Street, Hunghom, Kowloon, Hong Kong (SAR), P.R. China)

Sherman C.P. Cheung
Fire Safety and Disaster Prevention Research Group, (Department of Building and Construction, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong (SAR), P.R. China)

Guan Heng Yeoh
School of Mechanical and Manufacturing Engineering University of New South Wales, NSW 2052, Australia; Australian Nuclear Science and Technology Organisation (ANSTO), PMB 1, Menai, NSW 2234, Australia

Abstract

The Computational Fluid Dynamics (CFD) techniques are currently widely adopted to simulate the behaviour of fire. The major shortcoming of the CFD is the requirements of extensive computer storage and lengthy computational time. In actual applications, although comprehensive field information of velocities, temperature, pressure, fraction of different constitutes etc. can be obtained from the CFD simulation, the user may be only interested in few important parameters which index the performance of the compartment design in the event of fire. Height of thermal interface (HTI) is one of the key indices. It is the average height above the floor level inside the fire compartment at which the temperature gradient is the highest. In practice, the fire compartment is considered untenable when the HTI descends lower than the respiratory level of the occupants. In the course of fire system design optimization, if the resultant HTI of a fire compartment design evaluated by the CFD is too low, another set of the design parameters (e.g. width of the door opening) are required to be tried. This trial and error exercise continues until a close optimum set of the design parameter achieved. This approach is theoretically feasible but requires lengthy computational time. This paper proposes to apply Artificial Neural Network (ANN) approach as a fast alternative to the CFD models to simulate the behaviour of the compartment fire. A novel ANN model denoted as GRNNFA has been developed particular for fire studies. It is a hybrid ANN model combining the General Regression Neural Network (GRNN) and the Fuzzy ART (FA). The GRNNFA model owns the features of incremental growth of network structure, stable learning and removal of the noise embedded in the experimental fire data. It has been employed to establish a system response surface based on the knowledge of the available training samples. Since the available training samples may not be sufficient to describe the system behaviour especially for fire data, it is proposed to acquire extra knowledge of the system from human expert knowledge. The human expert intervened network training was developed to remedy the established system response surface. After the transformation of the remedied system response surface to the problem domain, Genetic Algorithm (GA) is applied to evaluate the close optimum set of the design parameters.

ICHMT Digital Library

Bow shocks on a jet-like solid body shape. Thermal Sciences 2004, 2004. Pulsed, supersonic fuel jets - their characteristics and potential for improved diesel engine injection. PULSED, SUPERSONIC FUEL JETS - THEIR CHARACTERISTICS AND POTENTIAL FOR IMPROVED DIESEL ENGINE INJECTION
View of engine compartment components (left). Plots of temperature distributions in centreplane, forward of engine (right). CHT-04 - Advances in Computational Heat Transfer III, 2004. Devel... DEVELOPMENT AND CURRENT STATUS OF INDUSTRIAL THERMOFLUIDS CFD ANALYSIS
Pratt & Whitney's F-135 Joint Strike Fighter Engine under test in Florida is a 3600F class jet engine. TURBINE-09, 2009. Turbine airfoil leading edge stagnation aerodynamics and heat transfe... TURBINE AIRFOIL LEADING EDGE STAGNATION AERODYNAMICS AND HEAT TRANSFER - A REVIEW
Refractive index reconstructed field. (a) Second iteration. (b) Fourth iteration. Radiative Transfer - VI, 2010. Theoretical development for refractive index reconstruction from a radiative ... THEORETICAL DEVELOPMENT FOR REFRACTIVE INDEX RECONSTRUCTION FROM A RADIATIVE TRANSFER EQUATION-BASED ALGORITHM
Two inclusion test, four collimated sources. Radiative Transfer - VI, 2010. New developments in frequency domain optical tomography. Part II. Application with a L-BFGS associated to an inexa... NEW DEVELOPMENTS IN FREQUENCY DOMAIN OPTICAL TOMOGRAPHY. PART II. APPLICATION WITH A L-BFGS ASSOCIATED TO AN INEXACT LINE SEARCH