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The Study on Solving Large Pore Heat Transfer Simulation in Malan Loess Based on Volume Averaging Method Combined with CT Scan Images

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  • Yangchun Lu

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China)

  • Ting Lu

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China)

  • Yudong Lu

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China)

  • Bo Wang

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China)

  • Guanghao Zeng

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China)

  • Xu Zhang

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China)

Abstract

Malan loess is a wind-formed sediment in arid and semi-arid regions and is an important constituent of the Earth’s critical zone. Therefore, the study of the relationship between microstructure and heat transfer in Malan loess is of great significance for the in-depth understanding of the heat transfer mechanism and the accurate prediction of the heat transfer properties of intact loess. In order to quantitatively characterize the heat transfer processes in the two-phase medium of solid particles and gas pores in the intact loess, this study used modern computed tomography to CT scan the Malan loess in Huan County, Gansu Province, the western part of the Loess Plateau, China and used the specific yield of the intact Malan loess as the parameter basis for extracting the threshold segmentation of the large pores in the scanned images for the three-dimensional reconstruction of the connected large pores. An experimental space for heat conduction of intact Malan loess was constructed, and the surface temperature of Malan loess was measured on the surface of the space with a thermal imager. The simulation of the heat conduction process was carried out using the solution program in AVIZO (2019) software using the volume averaging method combined with CT scanning to reconstruct the 3D pores. The experiments of heat conduction in the intact Malan loess showed that for a given external temperature pressure, the temperature decreases along the heat flow direction as a whole. The temperature of the pores in the normal plane along the heat flow direction is higher than the temperature of the solid skeleton. Abnormal temperature points were formed at the junction of the surface and internal pores of Maran loess, and the temperature of the jointed macropores was about 1 °C higher at the surface of the sample than that of the surrounding solid skeleton. Simulation of heat conduction in Malan loess showed that the heat transfer process in Malan loess was preferentially conducted along the large pores and then the heat was transferred to the surrounding Malan loess particle skeleton. The simulation results of heat conduction in Malan loess were in high agreement with the experimental results of heat conduction in Malan loess, which verifies the reliability of the calculated model.

Suggested Citation

  • Yangchun Lu & Ting Lu & Yudong Lu & Bo Wang & Guanghao Zeng & Xu Zhang, 2023. "The Study on Solving Large Pore Heat Transfer Simulation in Malan Loess Based on Volume Averaging Method Combined with CT Scan Images," Sustainability, MDPI, vol. 15(16), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12389-:d:1217506
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    References listed on IDEAS

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    1. Aidi Huo & Xing Wang & Zhixin Zhao & Luying Yang & Fangqian Zhong & Chunli Zheng & Ningbo Gao, 2022. "Risk Assessment of Heavy Metal Pollution in Farmland Soils at the Northern Foot of the Qinling Mountains, China," IJERPH, MDPI, vol. 19(22), pages 1-12, November.
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