Optimal probability distribution for SCFmax in KT-joints strengthened with concrete in wind turbine support structures
Esmaeil Zavvar, Ajab Gul Majidi, Paulo Rosa-Santos, Francisco Taveira-Pinto
Abstract
The appropriate probability distributions for maximum SCFs in KT-joint filled with three different types of concrete under 4 different axial loads are studied. The process started with verifications of FE models with the help of experimental data to check the accuracy of the modeling and meshing. Then, 972 FE models were produced in ANSYS and analyzed to produce 4 reliable datasets. To determine the suitable probability distributions, 11 distributions were fitted to the samples, and two tests, including the Kolmogorov-Smirnov and the Chi-squared, were utilized to check the accuracy of the fits. The results indicate that the Birnbaum-Saunders distribution (BSD) is the suitable option. Hence, according to the probability-probability graphs, it was concluded that the developed probability distribution adequately fits the given data sets. • 972 FE models were generated to create the dataset in KT joints strengthened with concrete. • The FE models were validated using experimental data. • The Birnbaum-Saunders distribution is the suitable distribution for these types of joints. • Eleven PDFs were generated and proposed.