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Characteristics and Prediction of the Thermal Diffusivity of Sandy Soil

Author

Listed:
  • Baoming Dai

    (China Railway Construction Investment Group Co., Ltd., Urumqi 830017, China)

  • Yaxing Zhang

    (College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China)

  • Haifeng Ding

    (China Railway Construction Investment Group Co., Ltd., Urumqi 830017, China)

  • Yunlong Xu

    (China Railway Construction Investment Group Co., Ltd., Urumqi 830017, China)

  • Zhiyun Liu

    (College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China)

Abstract

Revealing the variation law of thermal diffusivity of sandy soil can provide a theoretical basis for the engineering design and construction in cold and arid regions. Based on experimental data of sandy soil samples, the distribution characteristics and influence of dry density and moisture content on thermal diffusivity are analyzed in this work. Then, the prediction model based on the empirical fitting formula and RBF neural network method for thermal diffusivity of frozen and unfrozen sandy soil is established, and the prediction accuracy of different prediction methods is compared. The results show that (1) thermal diffusivity of sandy soil is positively correlated with the particle size. With the increase of sand size, thermal diffusivity of sandy soil increases significantly. (2) Partial correlation among natural moisture content, dry density, and thermal diffusivity varies with different frozen and unfrozen conditions. (3) For unfrozen sandy soil, the binary RBF neural network prediction model is obviously better than that of the binary empirical fitting formula model. (4) The ternary prediction model has significantly higher prediction accuracy than that of the binary prediction model for frozen sandy soil, and the ternary RBF neural network model has the best prediction effect among the four methods.

Suggested Citation

  • Baoming Dai & Yaxing Zhang & Haifeng Ding & Yunlong Xu & Zhiyun Liu, 2022. "Characteristics and Prediction of the Thermal Diffusivity of Sandy Soil," Energies, MDPI, vol. 15(4), pages 1-14, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1524-:d:752710
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    Cited by:

    1. Rodrigo Aparecido Jordan & Rodrigo Couto Santos & Ricardo Lordelo Freitas & Anamari Viegas de Araújo Motomiya & Luciano Oliveira Geisenhoff & Arthur Carniato Sanches & Hélio Ávalo & Marcio Mesquita & , 2023. "Thermal Properties and Temporal Dynamics of Red Latosol (Oxisol) in Sustainable Agriculture and Environmental Conservation," Resources, MDPI, vol. 12(9), pages 1-16, September.

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