## 3 Results
### Results of Preliminary Test at UCLM Laboratory  
This section presents the results from the preliminary laboratory tests conducted on cylindrical concrete specimens. The main goal is to assess whether the recorded data align with expected theoretical values. The accuracy of the data is evaluated through comparative analysis of temperature measurements at different depths, and variations in temperature between surface and depth are examined. The data collected by the surface temperature sensors show high consistency (see Figure 8), with minimal differences between measurements. Temperatures start around 20 \({}^{\circ}\)C, rise to approximately 23 \({}^{\circ}\)C at 8 h, and then decrease steadily to around 15 \({}^{\circ}\)C after 33 h. The curves later fluctuate within the 18-24 \({}^{\circ}\)C range, stabilizing towards the end of the test. The maximum standard deviation is 0.18 \({}^{\circ}\)C, indicating a high degree of data reliability. Similar to the surface data, the depth sensors show homogeneous temperature trends (Figure 9), with a maximum standard deviation of 0.16 \({}^{\circ}\)C. This suggests that temperature variations in deeper zones are more uniform compared to surface zones. The averages of temperature curves in the superficial and depth zones of the concrete are presented in Figure 10. Both surface and depth temperature averages follow the same trend, indicating a relatively uniform temperature distribution throughout the specimen. Significant temperature changes are observed during the early setting phase of the concrete, after which the influence of ambient temperature becomes more dominant. The surface temperature sensors exhibited a mean value of 19.53 \({}^{\circ}\)C, with a standard deviation (SD) of \(\pm\)0.18 \({}^{\circ}\)C and a coefficient of variation (CV) of 0.92%. Depth sensors showed slightly lower dispersion, with an SD of \(\pm\)0.16 \({}^{\circ}\)C and a CV of 0.83%, indicating excellent consistency in both regions. In Figure 11, the curves of relative humidity data collected by three humidity sensors (HSA1, HSA2, and HSA3) from the superficial zone of specimen A are displayed. The three relative humidity curves start with a maximum value of 100% and decrease exponentially over time, showing a similar trend. Data collected at the end of the experiment indicate that the relative humidity reaches approximately 45%. Humidity data in specimen A presented a mean value of 72.39% and a maximum standard deviation of 2.94%, resulting  
Figure 8: Data collected by the three temperature sensors (TSA1, TSA2, and TSA3) in the superficial zone of specimen A and standard deviation. in a coefficient of variation (CV) of 4.06%. These values suggest good consistency between sensors, with only minor variations in moisture loss across the surface. Specifically, the curve corresponding to the humidity sensor HSA1 exhibits a steeper decline than the other two curves from the same area, possibly due to slightly different local conditions or the sensor's sensitivity. In contrast, specimen B (Figure 12) showed greater variability in humidity data, with a mean value of 65.0%, a maximum standard deviation of 7.04%, and a CV of 10.8%, suggesting more heterogeneous internal moisture distribution in the deeper zones. Figure 10: Averages of temperature curves in the superficial and depth zones of the concrete specimens. Figure 9: Data collected by the three temperature sensors (TDB1, TDB2, and TDB3) in the depth zone of specimen B and standard deviation. The results of the relative humidity data are consistent with theoretical expectations. The water content in concrete tends to decrease as it reacts with the cement or evaporates from the surface. Therefore, a downward trend in water content within the concrete over time is expected. The deviation curve starts at a value of 0 and increases during the initial  
Figure 11: Curves of relative humidity data collected by three humidity sensors (HSA1, HSA2, and HSA3) from the superficial zone of specimen A and standard deviation.