Ganapathy Ramachandran, David Charters

Quantitative Risk Assessment in Fire Safety

• Broschiertes Buch

Produktbeschreibung

This innovative guide addresses the probability of initiation, smoke movement and fire spread and the reliability of detection, human response and Fire Service intervention.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 384
• Erscheinungstermin: 30. Juni 2020
• Englisch
• Abmessung: 234mm x 156mm x 21mm
• Gewicht: 584g
• ISBN-13: 9780367576998
• ISBN-10: 0367576996
• Artikelnr.: 61563054

Autorenporträt

Ganapathy Ramachandran, PhD, DSc, FIFireE, MSFPE, held senior scientific appointments for 23 years (1965-1988) at the Fire Research Station, Borehamwood, Herts, UK. Since retiring in November 1988, he has been practising as a private consultant mainly in research problems in the application of statistical, probabilistic and economic techniques to fire risk evaluation, fire protection engineering and fire insurance. He is the author of Economics of Fire Protection (1998) and co-author of Evaluation of Fire Safety (2004). He is currently a Visiting Professor at the University of Leeds, UK. He has more than 45 years of experience in the field. David Charters, PhD, CEng, MIMechE, FIFireE, MSFPE is Director of the Fire Engineering Analysis Group at BRE. He previously held the position of Director at Arup Fire, and has more than 23 years experience in the field. He is a past president of the Institution of Fire Engineers, and is currently a Visiting Professor in Fire Risk Analysis at the University of Ulster, UK.

Inhaltsangabe

1. Introduction 2. Qualitative and Semi-quantitative Risk Assessment
Techniques 3. Quantitative Risk Assessment Techniques 4. Acceptance
Criteria 5. Initiation 6. Design Fire Size 7. Fire Spread Beyond Room of
Origin 8. Performance and Reliability of Detection, Alarm and Suppression
9. Performance and Reliability of Human Response and Evacuation 10.
Performance and Effectiveness of Fire Service Intervention 11. Whole
Project Analysis 12. Interactions 13. Combining Data from Various Sources -
Bayesian Technique