Thermal conductivity of compacted fill with mine tailings and recycled tire particles

Joon Kyu Lee, Julie Q. Shang, Sangseom Jeong

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

With the advantages of a light weight and improved thermal insulation, recycled tire particles have been utilized as engineered fills either alone or mixed with other geomaterials. To better utilize recycled tire particles, the thermal conductivity of their mixtures with mine tailings is studied as affected by the water content, mixing ratio of tailings and tire crumbs, compactive effort, and size of tire crumbs. The results show a clear correlation between the thermal conductivity and bulk density of the mixtures. Furthermore, the horizontal thermal conductivity is slightly higher than the vertical thermal conductivity and the anisotropic effect is more pronounced for the mixtures with lower water contents. The experimental data are processed via an analysis of variance (ANOVA), and the results indicate that the factors included in the simulation are statistically significant at a confidence level of 95%. A multiple linear regression model is proposed to relate the thermal conductivity with the composition of mixtures and compaction conditions. The interpretation methods developed in this study can be extended to enhance the understanding to the thermal characteristics of compacted geomaterials in engineering applications.

Original languageEnglish
Pages (from-to)1454-1465
Number of pages12
JournalSoils and Foundations
Volume55
Issue number6
DOIs
Publication statusPublished - 2015 Dec

Bibliographical note

Funding Information:
The work was supported by the National Science and Engineering Research Council of Canada (NSERC) and the University of Western Ontario, London, Canada . The contribution of Goldcorp Musselwhite Mine and Emterra Tire Recycling for providing test materials is also highly appreciated. The authors acknowledge the financial support of the National Research Foundation of Korea (Grant Nos. 2013R1A6A3A01023199 and 2011-0030842 ).

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology

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