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ISSN 打印: 1064-2285

ISSN 在线: 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

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NUMERICAL CHARACTERIZATION AND VALIDATION OF THE THERMAL RESPONSE OF AN EMPTY ISO CONTAINER EXPOSED TO REAL WEATHER CONDITIONS

卷 49, 册 13, 2018, pp. 1275-1297
DOI: 10.1615/HeatTransRes.2018020650
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摘要

The purpose of this study was to develop and validate a computational model of the thermal behavior of an ISO container exposed to real weather conditions. A thorough understanding of this process can allow for the design or orientation of ISO containers to minimize exposure and maximize lifespan of its contents. Currently, the thermal history of assets in storage cannot be determined without continuous monitoring of individual items, and there is no method to provide a detailed estimate of the exposure by analyzing existing data when continuous data was not collected. This work describes the experimental and initial numerical investigations of an instrumented empty ISO container to characterize the thermal response. Thermocouple data collected through long-term field experiments of an empty ISO container were used to develop and validate the numerical model, which includes combined effects from natural convection and radiation inside a 3D enclosure, as well as external forced convection, conduction, and solar radiation. It is found that the numerical model has the capability to validate broad trends observed from the experimental data over two noncontinuous days of varying cloud cover in a computationally efficient manner. The overall accuracy and computational efficiency afforded by the numerical model will advance the understanding of the implications of storage environment selection, as well as provide key predictive information for future investigations into the thermal exposure of contents in a loaded ISO container.

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