| dc.description.abstract | Steel is a strong material widely used in a wide array of industries; however, this material will lose a lot of this strength during elevated temperatures, which are calculated using reduction factors. Optimizing these reduction factors could be a great benefit when it comes to minimizing material-usage and cost when considering the high-temperature situation. There were several comparisons between the standard and the eight studies and how the data from the studies compared to the guidelines from the standard. The reason for these comparisons were that the models from the standard was speculated to be more conservative than experimental data. The experimental data as well as the data from the standard were compared several ways: By simply collecting the data and comparing them with the standard in graphs using MATLAB, using the curve-fitting tool from MATLAB and comparing them with each other, and finally creating a variation of the logistic function of both data-sets and comparing them like that. There were four different proposed formulas for yield strength, ultimate strength, modulus of elasticity and proportional limit. These formulas were statistically analyzed by testing the r-square values. Using these functions, the different formulas were compared with their corresponding standard formula proposal. The result of this confirmed the speculation that the Eurocode standard was conservative and even with lower bound 95% confidence interval was still holding back quite a lot with their reduction factor values. The proposed formulas were compared using ANSYS by testing the directional deformation in the y-direction, with the Eurocode counterparts. There was up to almost four times difference in the directional deformation in the Eurocode version at 800 degrees Celsius. | |