基于天牛须搜索算法和内点法的运输类飞机5×5谱编制方法
5 by 5 Spectrum Development Method for Transport Aircraft Based on Beetle Antenna Search Algorithm and Interior Point Method
卫昆钰 1李博文 1李晨迪 1贺小帆1
作者信息
摘要
载荷谱作为运输类飞机疲劳分析和试验的输入,其编制具有重要意义.针对运输类飞机载荷谱编制需求,本文基于天牛须搜索算法和内点法,提出了一种编制5×5谱的方法.首先确定飞机的任务剖面,通过对飞机实测数据进行处理与统计获得过载累积超越数曲线,依据极值载荷对数正态分布准则,采用基于天牛须搜索算法和内点法耦合的5×5谱求解方法对各类飞行类型次数和载荷水平比进行迭代和选取;依据载荷谱形状相似准则,提出了载荷谱形状相似性指标,采用天牛须算法对5×5谱中各类飞行类型中各级载荷出现次数进行迭代,形成各任务段的5×5谱.最后给出了一个示例以阐明该5×5谱编制方法.实现了运输类飞机5×5谱的快速和高质量编制.
Abstract
The development of load spectrum is of significant importance for fatigue analysis and testing of transport aircraft serving as input parameters.In response to the demand for the development of a load spectrum for transportation aircraft,a method for developing a 5 by 5 spectrum based on the beetle antenna search algorithm and the interior point method was proposed.Firstly,the mission profile of the aircraft was determined,and the overload cumulative exceedance curve was obtained through processing and statistical analysis on the aircraft's measured data.According to the lognormal distribution criterion of extreme loads,a 5 by 5 spectrum solution method based on the coupling of the beetle antenna search algorithm and the interior point method was used to iterate and select the number of flight types and load level ratios.A load spectrum shape similarity index was proposed according to the load spectrum shape similarity criterion,and the beetle antenna search algorithm was used to calculate the number of occurrences of each level of load in each type of flight in the 5 by 5 spectrum,and finally formed the 5 by 5 spectrum for each task segment.Finally,an example was provided to illustrate the method of 5 by 5 spectrum development in detail.This study has achieved the expedited and high-quality development of 5×5 spectrum for transport aircraft.
关键词
运输类飞机/5×5谱/TWIST谱/极值对数正态分布准则/载荷谱形状相似准则Key words
transport aircraft/5 by 5 spectrum/TWIST spectrum/extreme logarithmic normal distribution criterion/load spectrum shape similarity criterion引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据