Based on the typical non-deterministic relationship between the seepage pressure of the earth dam and the upstream water level, this paper proposes a method for establishing a linear regression model for seepage pressure analysis of the earth dam; Taking the Dongzhen Reservoir Dam as an example, two historical data representing osmometers BS3 and BS4 were selected for simulation application, and the reliability test of the regression model was carried out using the correlation coefficient test method. The results showed that the correlation coefficients of the reservoir water level and the seepage pressure monitoring values were 0.911 and 0.850, respectively, and the correlations were good and in accordance with the normal law; By applying the prediction and control functions of the built model, the prediction interval of the monitoring results of the osmometer at different reservoir water levels and the safe variation range of the reservoir water level at different seepage pressure values are obtained. Subsequently, the model was used to analyze and verify the data of all 29 piezometers in Dongzhen Reservoir, and the attribution analysis of the relevant differences.
Taking an office building in Jinan as an example, the simulation model of solar inter-seasonal soil heat storage was established by TRNSYS software, and the variation law of ground temperature in the heat storage period was analyzed. From the perspective of ground temperature change, the influence of the spacing, length, number of drilling wells and area of solar collector on the heat storage effect was analyzed. The results showed that the soil temperature increased rapidly at the beginning of heat storage, and then the temperature rise rate gradually slowed down. The ground heat exchanger spacing, length, number of drilling and collector area will have a great influence on the solar energy seasonal heat storage effect. Therefore, in practical engineering applications, for the solar inter-seasonal soil heat storage system, the parameters of buried pipes, collectors and other components are recommended to be reasonably determined by simulation to obtain the optimal heat storage effect.
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