| Citation: | Chen Huanhuan, Li Wei, Qian Zhengming, et al. Reliability analysis of turbine disk low-cycle fatigue life based on quasi-monte carlo method under mixed uncertainty[J]. Journal of Aerospace Power, 2026, 41（X）：20250569 doi: 10.13224/j.cnki.jasp.20250569
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To account for mixed uncertainties, including geometric and material factors, under the operating conditions of aero-engine turbine disks, this study developed a probabilistic low-cycle fatigue life model. A comparative analysis of various uncertainty models was conducted, and a probabilistic representation model for geometric uncertainty was established. Through the integration of a deep neural network surrogate model with quasi-Monte Carlo simulation algorithms, an interval quasi-Monte Carlo sampling approach was formulated for reliability analysis incorporating geometric and material mixed uncertainties. This enabled probabilistic fatigue life prediction and reliability analysis, thereby quantifying the upper and lower bounds of life reliability. At a reliability level of 99.87%, the lower bound of fatigue life was 1.61×104 cycles and the upper bound was 2.53×104 cycles, These results provide methodological support for high-reliability turbine disk design.
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