Abstract:
The thermal conductivity of exposed rocks in Nanchang area was measured by thermal conductivity scanning,and the relationship between thermal conductivity and porosity,moisture content,density,temperature
and pressure were analyzed. Furthermore,the prediction model of rock thermal conductivity based on BP neural network is proposed. The results show that the BP neural network model has high prediction accuracy,and the correlation
coefficient can reach 0. 993 82,which meets the engineering accuracy requirements. |