The nondestructive inspection interval is highly related with both system reliability and maintenance burden. Conventional inspection interval decision criteria based on the deterministic crack propagation analysis could require too much frequent inspection or sometimes occur structural failure owing to the rapid crack propagation than expected. The stochastic crack growth analysis method was proposed to compensate for the shortcomings of the deterministic analysis. This research studied the crack growth of aircraft landing gear components based on the equivalent initial flaw size distribution algorithm, and then we assessed failure risk. The calculated risk was validated using Monte-Carlo simulation, and finally, the optimum inspection interval was proposed to satisfy the US Airforce risk management criteria.

无损检测间隔与系统可靠性和维护负担高度相关。基于确定性裂纹扩展分析的常规检查间隔决策标准可能需要过于频繁的检查，或者由于裂纹扩展速度比预期的快，有时会发生结构故障。为了弥补确定性分析的不足，提出了随机裂纹扩展分析方法。本研究基于等效初始缺陷尺寸分布算法研究了飞机起落架部件的裂纹扩展，进而评估了失效风险。计算的风险使用蒙特卡罗模拟进行验证，最后，提出了满足美国空军风险管理标准的最佳检查间隔。