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Heat Transfer Research

Published 18 issues per year

ISSN Print: 1064-2285

ISSN Online: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

PORE PRESSURE IN CONCRETE STRUCTURE SUBJECTED TO FIRE LOADING DESCRIBED IN TERMS OF STOCHASTIC FINITE DIFFERENCES

Volume 48, Issue 13, 2017, pp. 1139-1150
DOI: 10.1615/HeatTransRes.2017016386
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ABSTRACT

The stochastic finite differences technique is used for the analysis of pore pressure in a concrete structure with random material properties subjected to fire loading. The problem is described theoretically with assumption of random liquid contents. A system of partial differential equations is solved for the first two probabilistic moments of the random pressure field. An example of stochastic analysis in concrete structure with random liquid content is given.

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