Cantitate/Preț
Produs

Introduction to Mathematical Fire Modeling

Autor Marc L. Janssens
en Limba Engleză Hardback – 28 iun 2018
Computer simulation proves to be a valuable tool for the analysis and prediction of compartment fires. With the proper understanding and software, fire safety professionals can use modeling tools and methods to find answers to many critical questions relating to the prevention, investigation, and reconstruction of compartment fires.

Thoroughly updated and revised, An Introduction to Mathematical Fire Modeling, Second Edition introduces the concepts, software, and techniques of computer-aided mathematical modeling and the software for the analysis and prediction of a variety of compartment fires. Beginning with basic compartment fire theory, the author develops a simple mathematical model that provides an engineering approximation of the time-varying conditions created by fires in an enclosure that may be subject to hot-layer vents.

This is the first book focused on the deterministic computer modeling of compartment fires, and the FIRM model presented is the first fire model to be documented, validated, verified, and evaluated according to ASTM guidelines. The text includes detailed information on the use of the QBASIC software provided on an enclosed CD-ROM.
Citește tot Restrânge

Preț: 100888 lei

Preț vechi: 136653 lei
-26% Nou

Puncte Express: 1513

Preț estimativ în valută:
19309 20370$ 16091£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781138426290
ISBN-10: 1138426296
Pagini: 276
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.45 kg
Ediția:2nd edition
Editura: CRC Press
Colecția CRC Press

Public țintă

Professional

Cuprins

Basic Compartment Fire Theory. Introduction to Mathematical Compartment Fire Modeling. ASET-QB: A Simple Room Fire Model. Modifications to ASET-QB. The FIRM-QB Model. FIRM-QB User's Manual. Evaluation of the Predictive Capability of FIRM-QB. Conclusions.

Descriere

Computer simulation proves to be a valuable tool for the analysis and prediction of compartment fires