Effective thermal conductivity of unsaturated granular geocomposite using lattice element method
Clicks: 357
ID: 113014
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
80.5
/100
357 views
239 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 39 articles by views in heat and mass transfer
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Soil thermal conductivity has an important role in geo-energy applications and heat transfer modelling. The performances and efficiencies of such applications are strongly affected by the saturation conditions, especially at the lower saturation, which can negatively affect the soil thermal conductivity. Therefore, it is essential to improve the soil thermal conductivity at lower saturation levels. Here, we investigate the effect of the fillers, soil gradation and the water saturation on the thermal conductivity of sand as an innovative improvement method. The experimental results show a significant improvement in the thermal conductivity at dry and lower saturation degrees and a considerable improvement in the case of full saturation. The improvement in the thermal conductivity is comparatively high in dry state and is decreasing with increase in the saturation. The existing soil thermal conductivity models, which are limited to a specific boundary conditions and soil types, fail to consider the effect of soil filler composite behaviour. Therefore, a mesoscale numerical method is developed to model the change in effective thermal conductivity. The developed model shows a good agreement with the measured thermal conductivity values.
| Reference Key |
shrestha2018heateffective
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Dinesh Shrestha;Zarghaam Haider Rizvi;Frank Wuttke;Dinesh Shrestha;Zarghaam Haider Rizvi;Frank Wuttke; |
| Journal | heat and mass transfer |
| Year | 2018 |
| DOI |
doi:10.1007/s00231-018-02544-3
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.