The correlation between soil thermal resistivity and its main influencing factors was analyzed by reviewing the literature. To obtain an accurate prediction model of soil and carbonaceous rock thermal resistivity, the neural network feedback analysis technology was utilized and a prediction model developed. The laboratory results verify the effectiveness and superiority of the model. Dry density, saturation, and quartz were selected for the prediction model, which can comprehensively and reasonably reflect the main factors affecting soil and carbonaceous rock thermal conduction. Based on the comparison results between predicted and measured thermal resistivity, the proposed mode exhibited a satisfactory accuracy. Compared with the selected empirical relationships, the model had significant advantages in the prediction results for different types of soils.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
R. D. Hotz and L. Ge, “Investigation of the thermal conductivity of compacted silts and its correlation to the elastic modulus,” J. Mater. Civ. Eng., 22, 408-412 (2009).
W. G Brown, “Difficulties associated with predicting depth of freeze or thaw,” Can. Geotech. J., 1, 215-226 (1964).
T. Zhang, C. J. Wang, S. Y. Liu, N. Zhang, and T. W. Zhang, “Assessment of soil thermal conduction using artificial neural network models,” Cold Reg. Sci. Technol., 169, 102907 (2020).
T. Zhang, S.Y. Liu., G. J. Cai, and A. J. Puppala, “Experimental study on relationship between thermal and mechanical properties of treated silt by lignin,” Chin. J. Geotech. Eng., 37, 1876-1793 (2015).
M. V. Rooyen and H. F. Winterkorn, “Theoretical and practical aspects of the thermal conductivity of soils and similar granular systems,” U.S. Highway Research Board Bulletin, 159, 58-135 (1957).
M. S. Kersten, “Thermal Properties of Soils,” University of Minnesota Institute of Technology, Engineering Experiment Station, Bulletin, 28 (1949).
J. Wang, X. P. Zhang, and L. Z. Du, “A laboratory study of the correlation between the thermal conductivity and electrical resistivity of soil,” J. Appl. Geophys., 145, 12-16 (2017).
P. Orbanic and M. Fajdiga, “A neural network approach to describing the fretting fatigue in aluminum-steel couplings,” Int. J. Fatigue, 25, 201-207 (2003).
A. T. Goh, “Seismic liquefaction potential assessed by neural networks,” J. Geotech. Eng., 120, 1467-1480 (1994).
H. Sonmez, C. Gokceoglu, H. A. Nefeslioglu, and A. Kayabasi, “Estimation of rock modulus: for intact rocks with an artificial neural network and for rock masses with a new empirical equation,” Int. J. Rock Mech. Min. Sci., 43, 224-235 (2005).
T. Zhang, G. Cai, S. Liu, and A. J. Puppala, “Investigation on thermal characteristics and prediction models of soils,” Int. J. Heat Mass Transf., 106, 1074-1086 (2017).
A. T. Goh, “Back-propagation neural networks for modeling complex systems,” Artif. Intell. Eng., 9, 143-151 (1995).
M. A. Shahin, M. B. Jaksa, and H. R. Maier, “Predicting the settlement of shallow foundations on cohesionless soils using back-propagation neural net-works,” Research Report R167, The University of Adelaide, Adelaide (2000).
M Banimahd, S. S. Yasrobi, and P. K. Woodward, “Artificial neural network for stress-strain behavior of sandy soils: Knowledge based verification,” Comput. Geotech., 32, 377-386 (2005).
J. S. Jonathan, “Reduction prediction error by transforming input data for neural networks,” J. Comput. Civ. Eng., 18, 105-114 (2000).
M. A. Shahin, H. R. Maier, and M. B. Jaksa, “Data division for developing neural networks applied to geotechnical engineering,” J. Comput. Civ. Eng., 18, 105-114 (2004).
T. Zhang, S. Liu, G. Cai, and A. J. Puppala, “Experimental investigation of thermal and mechanical properties of lignin treated silt,” Eng. Geol., 196, 1-11 (2015).
J. Cote and J. M. Konrad, “Thermal conductivity of base-course materials,” Can. Geotech. J., 42, 61-78 (2005).
H. Demuth, M. Beale, and M. Hagan., Neural Network Toolbox User’s Guide, The Math Works, Inc. Natick, M.A, USA (2006).
J. Cote and J. M. Konrad, “A generalized thermal conductivity model for soils and construction materials,” Can. Geotech. J., 42, 443-458 (2005).
O. Johansen, Thermal Conductivity of Soils, University of Trondheim, Trondheim, Norway (1975).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Osnovaniya, Fundamenty i Mekhanika Gruntov, No. 3, p. 22, May-June, 2021.
Rights and permissions
About this article
Cite this article
Luo, J., Wang, C., Wu, Y. et al. Using Neural Network Feedback Analysis Technology to Predict Soil and Carbonaceous Rock Thermal Resistivity. Soil Mech Found Eng 58, 244–252 (2021). https://doi.org/10.1007/s11204-021-09735-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11204-021-09735-x