Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Using Neural Network Feedback Analysis Technology to Predict Soil and Carbonaceous Rock Thermal Resistivity
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.
Using Neural Network Feedback Analysis Technology to Predict Soil and Carbonaceous Rock Thermal Resistivity
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.
Using Neural Network Feedback Analysis Technology to Predict Soil and Carbonaceous Rock Thermal Resistivity
2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL:
56.20
Ingenieurgeologie, Bodenmechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
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