Theory, Modelling and Practice To order this title, and for more information, click here
By Guan Heng Yeoh, Senior Research Scientist, ANSTO (Australian Nuclear Science and Technology Organisation) and Visiting Professor, City University of Hong Kong Kwok Kit Yuen
Description Fire and combustion presents a significant engineering challenge to mechanical, civil and dedicated fire engineers, as well as specialists
in the process and chemical, safety, buildings and structural fields. We are reminded of the tragic outcomes of ?untenable' fire disasters
such as at King's Cross underground station or Switzerland's St Gotthard tunnel. In these and many other cases, computational fluid
dynamics (CFD) is at the forefront of active research into unravelling the probable causes of fires and helping to design structures
and systems to ensure that they are less likely in the future.
Computational fluid dynamics (CFD) is routinely used as an analysis
tool in fire and combustion engineering as it possesses the ability to handle the complex geometries and characteristics of combustion
and fire. This book shows engineering students and professionals how to understand and use this powerful tool in the study of combustion
processes, and in the engineering of safer or more fire resistant (or conversely, more fire-efficient) structures.
No other book is
dedicated to computer-based fire dynamics tools and systems. It is supported by a rigorous pedagogy, including worked examples to illustrate
the capabilities of different models, an introduction to the essential aspects of fire physics, examination and self-test exercises,
fully worked solutions and a suite of accompanying software for use in industry standard modeling systems.
Audience
Graduate students studying combustion or fire engineering in mechanical or civil engineering departments, plus those studying CFD, computational
analysis, thermal engineering, multiphase flow, and physics.
Contents 1. Introduction
2. Field Modeling Approach
CFD Basics
2.1 What is Computational Fluid Dynamics
2.2 Computational Fluid Dynamics
in Field Modeling
2.3 Equations of State
2.4 Equations of Motion
2.5 Differential and Integral Form of the Transport Equations
2.6 Physical
Interpretation of Boundary Conditions for Field Models
2.7 Numerical Approximations of Transport Equations for Field Models
2.8 Summary
Turbulence
2.9 What is Turbulence
2.10 Overview of Turbulence Modeling Approaches
2.11 Additional Equations for Turbulent Flow - Standard
k-? Turbulence Model
2.12 Turbulence Models
2.13 Near-Wall Treatments
2.14 Setting Boundary Conditions
2.15 Guidelines for Selecting
Turbulence Models in Field Modeling
2.16 Worked Example on Different Turbulence Models in Fire Modeling
2.17 Summary
References and Suggested
Reading
Exercises
3. Combustion Modeling
3.1 Turbulent Combustion in Fires
3.2 Detailed Chemistry vs Simplified Chemistry
3.3 Overview
of Combustion Modeling Approaches
3.4 Combustion Models
3.5 Guidelines for Selecting Combustion Models in Field Modeling
3.6 Worked Examples
of Combustion Models Applied to Full-Scale Enclosure Fires
3.7 Summary
Radiation Modelling
3.8 Radiation in Fires
3.9 Radiative Transfer
Equation
3.10 Radiation Models for Field Modeling
3.11 Benefits and Limitations of Different Radiation Models
3.12 Radiation in Combusting
Flows
3.13 Guidelines for Selecting Radiation Models in Field Modeling
3.14 Worked Examples on Radiation Models in Full Scale Enclosure
Fires
3.15 Summary
References and Suggested Reading
Exercises
4. Soot Production and Pyrolysis
4.1 Importance of Soot Radiation
4.2
Overview and Limitations of Soot Modeling
4.3 Soot Models for Field Modeling
4.4 Population Balance Approach to Soot Formation
4.5 Guidelines
for Selecting Soot Models in Field Modeling
4.6 Worked Examples on Application of Soot Models in Fire Modeling
4.7 Summary
4.8 Importance
of Pyrolysis in Fires
4.9 Phenomenological Understanding of Pyrolysis Processes
4.10 Formulation of Governing Equations
4.11 Physical
Description of Pyrolysis Processes
4.12 Practical Guidelines to Pyrolysis Models in Field Modeling
4.13 Worked Example on Ignition of
Combustible Materials in a Cone Calorimeter Meter
4.14 Worked Example on Fire Growth and Flame Spread over Combustible Wall Lining in
a Single-Compartment
4.15 Summary
References and Suggested Reading
Exercises
5. Probabilistic Approaches and Applications
5.1 Aspects
of Fire Risk
5.2 Applications in Fire Design and Assessment
5.3 Combustion and Fire Modeling
5.4 Worked Examples on Fire Assessment in Fire Modeling
5.5 Summary
References and Suggested Reading
Exercises
6. Advanced and Modeling Techniques
6.1 Next Stages of Development
and Application
6.2 Alternative Approach to Handling Turbulence
6.3 Reynolds Averaging Navier Stokes vs Large Eddy Simulation
6.4 Formulation
of Numerical Algorithm
6.5 Worked Example of Large Eddy Simulation
6.6 Summary
6.7 Consideration and Feasibility for Fire Prediction
6.8 Soft Computing
6.9 Typical Models of Soft Computing
6.10 Need for Historical Data
6.11 Structure of Prediction Models
6.12 Training
and Tuning of Prediction Models
6.13 Assessment of Models
6.14 Worked Examples on Application of Soft Computing Models in Fire Prediction
6.15 Summary
References and Suggested Reading
Exercises
7. Application of Modeling for Fire Safety Evaluation and Assessment (appendix?)
7.1 Introduction
7.2 Case study: Adopting Performance-based Methodologies
7.3 Case study: Deterministic Approach
7.4 Case study: Probabilistic
Approach
7.5 Summary
References and Suggested Reading
Exercises
Books and book related electronic products are priced in US dollars (USD), euro (EUR), and Great Britain Pounds (GBP). USD prices apply to the Americas and Asia Pacific. EUR prices apply in Europe and the Middle East. GBP prices apply to the UK and all other countries.
Home | Elsevier Sites | Privacy Policy | Terms and Conditions | Feedback | Site Map | A Reed Elsevier Company