A/Prof Khalid Moinuddin

Researcher
About
A/Prof Khalid Moinuddin

Khalid Moinuddin is an Associate Professor at Victoria University's Institute of Sustainable Industries and Liveable Cities. He is involved in several computational and experimental research projects in the area of combustion, flame growth and propagation, turbulent fluid motion, tunnel fire and fire risk analysis. The nature of his research is both applied and fundamental.

His fundamental research works include simulation of gasification of solid fuels and combustion of the gaseous form, turbulent fluid motion using various large eddy simulation based models, evaporation of the sprinkler and water mist droplets and contribution to the development of physics-based simulation and numerical tools.

He was also the course coordinator of Victoria University’s Building Fire Safety and Risk Engineering courses from 2008-2017, which constitute only one of the two suites of courses of this kind delivered in Australia. He led a course review in modernising fire safety engineering curriculum and teaching practices, introducing new units to bridge identified gaps and facilitate graduates to gain the required professional certification.

Khalid Moinuddin is an Associate Professor at Victoria University's Institute of Sustainable Industries and Liveable Cities (ISILC). Within the Fire Research Group of ISILC, he is currently involved in several computational and experimental research projects in the area of combustion, flame growth and propagation, turbulent fluid motion, tunnel fire and fire risk analysis. The nature of his research is both applied and fundamental.

His fundamental research works include simulation of gasification of solid fuels and combustion of the gaseous form, turbulent fluid motion using various large eddy simulation (LES) based models, evaporation of the sprinkler/water mist droplets etc and contribution to the development of physics-based simulation/ numerical tools.

In the last few years, Khalid has developed two major streams of research at Victoria University:

·         -development and application of a three-dimensional physics-based wildfire model which involves one postdoctoral  research fellow, one PhD completion and five current PhD/Masters by research projects

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·         -fire safety engineering in naval applications which involves one postdoctoral  research fellow and one PhD completion.

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Khalid was also the Course Coordinator of Victoria University’s Building Fire Safety and Risk Engineering courses from 2008-2017, which constitute only one of the two suites of courses of this kind delivered in Australia. He led a course review in modernising Fire Safety Engineering Curriculum and Teaching Practices, introducing new units/topics to bridge identified gaps and facilitate graduates to gain the required professional certification.

Project leadership

This project is applying physics-based approaches to fire scenarios. It attempts to simulate fire with unprecedented detail and in the process obtain useful application tools for end-users.
27 Aug 2019
How significant is the effect of topographical feature (slope) of terrain on grassland fire...
27 Aug 2019
Is it feasible to model firebrand load on structure using a physics-based model in WUI?
Numerical assessment of a steel bridge subjected to Wildland Urban Interface (WUI) fires
19 Sep 2018
The focus of this research is to assess the performance of a steel plate girder bridge subjected to...
Ignitability of eucalyptus litters
19 Sep 2018
The propagation of fire inside a typical forest canopy is heavily dependent on the amount of oxygen...
Physics-based modelling of fires transitioning from the forest floor to the canopy
19 Sep 2018
Can a physics-based model predict a transition from a surface fire to a crown fire?
Simulated rate-of-spread of a grassfire propagating under a tree canopy
29 Jun 2017
Simulations of a fire entering, propagating under and leaving a tree canopy are conducted using FDS...
Duncan Sutherland Conference Poster 2016
14 Aug 2016
Operational fire models rely on wind reduction factors to relate the standard meteorological...
Rahul Wadhwani Conference Poster 2016
14 Aug 2016
Firebrands are burning pieces of litter, for example, bark, leaf, and twigs.
Flow Prediction Through Canopies
18 Aug 2015
A simple model of flow through a tree canopy and comparison with large-eddy simulations.
Next generation models for predicting the behaviour of bushfires: Challenges and prospects
25 Aug 2014
Bushfires occur on a scale that may be measured in kilometers.  However, a challenge faced in...

Resources credited

Type Released Title Download Key Topics
Presentation-Slideshow 17 Oct 2019 Fire Spread Across Fuel Types PDF icon Save (3.21 MB) fire weather, fuel reduction
Presentation-Slideshow 27 Aug 2019 Simulation Of Heat Fluxes On A Structure From A Fire In An Idealised Shrubland PDF icon Save (495.46 KB) decision making, fire
Presentation-Slideshow 23 Nov 2018 Fire spread prediction across fuel types by physics-based modelling PDF icon Save (2.02 MB) fire, fire impacts, fuel reduction
Presentation-Slideshow 18 Sep 2018 Simulations of the effect of canopy density profile on sub-canopy wind speed profiles PDF icon Save (1.08 MB) fire, fuel reduction
Presentation-Slideshow 31 Oct 2017 Fire spread across fuel types PDF icon Save (1.1 MB) fire, forecasting, modelling
Presentation-Slideshow 07 Sep 2017 Large-eddy simulation of neutral atmospheric surface layer flow over heterogeneous tree canopies PDF icon Save (885.3 KB) fire, modelling, propagation
Presentation-Slideshow 07 Jul 2017 Building bushfire predictive services capability PDF icon Save (9.97 MB) fire, fire weather, modelling
HazardNoteEdition 25 Oct 2016 Next generation fire modelling PDF icon Save (1.35 MB) fire impacts, fire severity, fire weather
Presentation-Slideshow 24 Oct 2016 Fire spread across fuel types PDF icon Save (3.44 MB) fire impacts, fuel reduction, modelling
Presentation-Slideshow 04 Dec 2014 Challenges in physics based bushfire modelling PDF icon Save (885.16 KB) fire, fire severity, modelling
Presentation-Slideshow 08 Sep 2014 Next generation models for predicting the behaviour of bushfires PDF icon Save (1.12 MB) fire, modelling

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