Reliability of Steel Columns Protected by Intumescent Coatings Subjected to Natural Fires (Paperback, Softcover reprint of the original 1st ed. 2015)

This thesis studied the effect of aging of intumescent coatings (ICs) on the reliability of protected steel columns in fire condition and developed a probabilistic approach to assess the service life of ICs applied on steel columns. In the study, Monte Carlo simulations were conducted to obtain the reliability index or failure probability of steel columns protected by ICs subjected to compartment fires.  The effect of aging of intumescent coatings on the failure probability of protected steel columns was investigated by using variable insulation property of intumescent coatings in the simulation. The test data on aging effect on insulation property of intumescent coatings from literature was used. Based on the reliability analysis, a probabilistic approach is given to determine the service life of intumescent coatings for steel columns. In that approach, the failure probability of the protected steel columns is compared with the target probability of the structural fire design. The approach can also be used for probabilistic analysis of steel columns protected by conventional inert fire protection materials.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Theses
Release date:	October 2016
First published:	2015
Authors:	Chao Zhang
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	140
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-662-52633-0
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Civil engineering, surveying & building > Structural engineering > General Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > General
LSN:	3-662-52633-6
Barcode:	9783662526330

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