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基于多准则的装载机半轴载荷样本长度的确定方法

发布时间:2018-08-26 17:45
【摘要】:轮式工程车辆作业工况复杂多变,全寿命载荷测试需要选择不同的地区进行,从而对车辆总体性能进行估计。全寿命载荷测试的实验周期长,而且耗费大量的人力、物力,通过研究装载机测试的样本载荷,建立典型工况的载荷谱,是实现分析与改进现服役装备、提高零部件可靠性的重要依据。载荷谱是对零部件的疲劳损伤预测的基础。 本文结合国家自然科学基金资助项目(编号50805065):“轮式工程车辆传动系载荷谱关键技术研究”开展,分析了小载荷滤除标准,建立了基于多准则的多工况最优样本长度确定的方法,编制了半轴的全寿命载荷谱且预测了疲劳寿命。 本文的具体内容和主要结论如下: (1)获取估计样本量的有效载荷。从载荷循环和载荷极值点分析了装载机半轴载荷特性,,基于疲劳损伤和POT理论提出了有效载荷的选取准则,剔除了实际载荷包含大量不产生疲劳的小循环载荷情况。 (2)建立了基于载荷多个特性的最优样本长度确定方法。对经典工程车辆载荷样本长度确定方法的总结分析,对比各个方法的优缺点,基于多准则决策技术,确定出以载荷循环、载荷极值均值和载荷极值标准差为准则的最优样本长度确定方法,分析并估计了大石方、小石方和原生土三种工况下载荷的样本长度。 (3)多工况下半轴全寿命载荷谱的编制。通过对雨流计数统计的载荷幅值与载荷均值联合概率密度函数进行估计,获得载荷的分布形式,由参数外推编制了半轴在大石方、小石方和原生土工况下的全寿命载荷谱。并依据已估计的最优样本长度编制了不同样本长度外推的半轴全寿命载荷谱,验证了最优样本长度的有效性。 (4)半轴疲劳寿命预测。依据Miner线性疲劳累积假说,由ANSYS对半轴进行有限元分析,再结合Nsoft和已编制的载荷谱对半轴进行了疲劳寿命预测。 本文提出的基于多准则最优样本长度的确定方法考虑了载荷的多个特性,所确定的样本值更具有合理性,对工程机械领域样本载荷测试和载荷谱的准确编制具有实际应用价值。
[Abstract]:Since the operating conditions of wheeled engineering vehicles are complex and changeable, the whole life load testing needs to be carried out in different areas, so as to estimate the overall performance of the vehicles. The whole life load test has a long experimental period and consumes a lot of manpower and material resources. By studying the load of the load sample tested by the loader, the load spectrum of typical working condition is established, which is to realize the analysis and improvement of the equipment in service. The important basis for improving the reliability of parts. Load spectrum is the basis of fatigue damage prediction of parts. Based on the project (No. 50805065) funded by the National Natural Science Foundation of China (No. 50805065): "Research on key Technologies of load Spectrum of wheeled Engineering vehicle Transmission system", the paper analyzes the standard of small load filtering. The method of determining the optimal sample length of multi-working conditions based on multi-criteria is established, and the full-life load spectrum of the half-shaft is compiled and the fatigue life is predicted. The main conclusions are as follows: (1) the payload of estimating sample size is obtained. Based on the analysis of load cycle and load extremum, the load characteristics of loader semi-shaft are analyzed. Based on the theory of fatigue damage and POT, the selection criteria of payload are proposed. The actual load contains a large number of small cyclic loads without fatigue. (2) an optimal sample length determination method based on multiple load characteristics is established. This paper summarizes and analyzes the method of determining the load sample length of the classical engineering vehicle, compares the advantages and disadvantages of each method, and determines the load cycle based on the multi-criteria decision technology. The method of determining the optimal sample length based on the criterion of the mean value of load extremum and the standard deviation of load extremum is analyzed and estimated. Sample length of load under three conditions: small stone and primary soil. (3) compilation of full life load spectrum of half shaft under multiple working conditions. By estimating the joint probability density function between the load amplitude and the mean value of the load, the distribution form of the load is obtained, and the whole life load spectrum of the half-axis under the working conditions of the big stone square, the small stone side and the primary soil is derived from the parameter extrapolation. According to the estimated optimal sample length, the full life load spectrum of different sample length extrapolation is compiled, which verifies the validity of the optimal sample length. (4) the prediction of semi-axial fatigue life. According to the Miner's linear fatigue accumulation hypothesis, the semi-axial fatigue life is predicted by using ANSYS finite element analysis and combined with Nsoft and the load spectrum. The method proposed in this paper for determining the optimal sample length based on multi-criteria takes into account several characteristics of load, and the determined sample value is more reasonable. It has practical application value for sample load test and accurate compilation of load spectrum in the field of construction machinery.
【学位授予单位】:吉林大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TH243

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