Probability-Based Structural Fire Load

Nonfiction, Science & Nature, Technology, Engineering, Science
Cover of the book Probability-Based Structural Fire Load by Leo Razdolsky, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Leo Razdolsky ISBN: 9781316054109
Publisher: Cambridge University Press Publication: August 25, 2014
Imprint: Cambridge University Press Language: English
Author: Leo Razdolsky
ISBN: 9781316054109
Publisher: Cambridge University Press
Publication: August 25, 2014
Imprint: Cambridge University Press
Language: English

In the structural design of airframes and buildings, probability-based procedures are used to mitigate the risk of failure as well as produce cost-effective designs. This book introduces the subject of probabilistic analysis to structural and fire protection engineers and can also be used as a reference to guide those applying this technology. In addition to providing an understanding of how fire affects structures and how to optimize the performance of structural framing systems, Probability-Based Structural Fire Load provides guidance for design professionals and is a resource for educators. The goal of this book is to bridge the gap between prescriptive and probability-based performance design methods and to simplify very complex and comprehensive computer analyses to the point that stochastic structural fire loads have a simple, approximate analytical expression that can be used in structural analysis and design on a day-to-day basis. Numerous practical examples are presented in step-by-step computational form.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

In the structural design of airframes and buildings, probability-based procedures are used to mitigate the risk of failure as well as produce cost-effective designs. This book introduces the subject of probabilistic analysis to structural and fire protection engineers and can also be used as a reference to guide those applying this technology. In addition to providing an understanding of how fire affects structures and how to optimize the performance of structural framing systems, Probability-Based Structural Fire Load provides guidance for design professionals and is a resource for educators. The goal of this book is to bridge the gap between prescriptive and probability-based performance design methods and to simplify very complex and comprehensive computer analyses to the point that stochastic structural fire loads have a simple, approximate analytical expression that can be used in structural analysis and design on a day-to-day basis. Numerous practical examples are presented in step-by-step computational form.

More books from Cambridge University Press

Cover of the book Dynasties by Leo Razdolsky
Cover of the book From the Soviet Bloc to the European Union by Leo Razdolsky
Cover of the book Etymology and the Invention of English in Early Modern Literature by Leo Razdolsky
Cover of the book Leibniz, God and Necessity by Leo Razdolsky
Cover of the book Clause Structure by Leo Razdolsky
Cover of the book Documentary Culture and the Laity in the Early Middle Ages by Leo Razdolsky
Cover of the book The Making of English National Identity by Leo Razdolsky
Cover of the book Demonstratives in Cross-Linguistic Perspective by Leo Razdolsky
Cover of the book The Cambridge Companion to Cormac McCarthy by Leo Razdolsky
Cover of the book The Cambridge Handbook of the Just War by Leo Razdolsky
Cover of the book Emotions in International Politics by Leo Razdolsky
Cover of the book Politics, Identity, and Mexico’s Indigenous Rights Movements by Leo Razdolsky
Cover of the book Fundamentals of Plasma Physics by Leo Razdolsky
Cover of the book An Introduction to Design Arguments by Leo Razdolsky
Cover of the book Burma's Economy in the Twentieth Century by Leo Razdolsky
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy