Erratum to: Probability Based High Temperature Engineering
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Probability Based High Temperature Engineering Creep and Structural Fire Resistance
Probability Based High Temperature Engineering
Leo Razdolsky
Probability Based High Temperature Engineering Creep and Structural Fire Resistance
123
Leo Razdolsky LR Structural Engineering, Inc. Lincolnshire, IL USA
ISBN 978-3-319-41907-7 DOI 10.1007/978-3-319-41909-1
ISBN 978-3-319-41909-1
(eBook)
Library of Congress Control Number: 2016946310 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
The proposed manuscript, Probability Based High Temperature Engineering: Creep and Structural Fire Resistance, bridges the disciplines of aerospace engineering (AE), structural engineering (SE), materials science engineering (MSE), and fire protection engineering (FPE) by offering a screening tool that can be used by engineers to perform the assessments of high-temperature creep as a structural fire resistance factor and its impact on structures. In many cases this type of analysis requires establishing creep models based on the design fires and the fuel packages and running these models to estimate the degradation of strength of structural components. A proper understanding of the uncertainties involved in the modeling of creep process is quintessential for safe and sustainable construction. The gap between the available laboratory standard fire test data and the typical real fire scenario further aggravates the situation. The broad scope of composition, mechanical, and environmental parameters characterizing each creep test in the database calls for the use of stochastic models. As the first step, stochastic models for all the required input parameters as well as the correlation fields are needed to properly calibrate safety factors for creep, as well as to provide the basis for realist
