The invention relates to a geometric size probability statistics characteristic
analysis method used in
turbine disc probability reliability analysis. The geometric size probability statistics characteristic
analysis method comprises the steps that a geometric model of a
turbine disc is simplified, wherein a periodic sector is taken, and finite element calculation is performed according to periodic symmetric boundary conditions, and model simplification is performed in the calculation process; 2, parametric modeling of the model is performed, wherein geometrical fully-constrained
parametric analysis is conducted on the simplified model to form a full-parametric model; 3, geometric dimensions are grouped, wherein parameters are divided into N groups during sensitivity calculation, and eachgroup includes about 10 parameters; 4,
sensitivity analysis is performed, wherein an experiment design (DOE) method is adopted to conduct
hypercube sampling on random geometric parameters, sensitivityanalysis is performed, and factors having the maximum counter stress influence are screened out; 5, dimension statistics and
hypothesis testing are performed, wherein real
turbine disc data is counted according to the screened key geometric dimensions, a
single sample K-S checking method is utilized to check the distribution type of the key dimensions, and geometric size probability statistics distribution is obtained.