| 汽轮发电机组轴系扭转疲劳性能估算方法的参数灵敏度分析 |
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| 引用本文： | 吕方明,王坤,危奇,黄树红,鲁录义,张燕平. 汽轮发电机组轴系扭转疲劳性能估算方法的参数灵敏度分析[J]. 动力工程, 2014, 0(2): 108-114 |
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| 作者姓名： | 吕方明 王坤 危奇 黄树红 鲁录义 张燕平 |
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| 作者单位： | [1]华中科技大学能源与动力工程学院,武汉430074 [2]上海发电设备成套设计研究院,上海200240 [3]华中科技大学中欧清洁与可再生能源学院,武汉430074 |
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| 基金项目： | 国家高技术研究发展计划资助项目（2008AA042404和2012AA051103） |
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| 摘 要： | 采用参数灵敏度分析方法,详细讨论了各相关参数对某汽轮发电机组轴系扭转疲劳性能指标的敏感性.结果表明:拉伸强度、尺寸系数和表面加工系数对疲劳性能的灵敏度相同,其灵敏度因子均为1;随着应力集中系数的增大,其灵敏度因子线性增大,当应力集中系数约大于1.68时,其灵敏度因子大于1,成为影响构件疲劳强度的最主要因素;疲劳缺口敏感系数对疲劳强度的影响最小;由于修正参数选取时的不确定性造成的寿命损耗估算偏差最大可达约15.5倍.
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| 关 键 词： | 汽轮发电机组 轴系 扭转疲劳 性能估算 S-N曲线 参数灵敏度 |
Estimation on Torsional Fatigue Property of Turbine-Generator Shafts Based on Parameter Sensitivity Analysis |
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| LU Fangming,WANG Kun,WEI Qi,HUANG Shuhong,LU Luyi,ZHANG Yanping. Estimation on Torsional Fatigue Property of Turbine-Generator Shafts Based on Parameter Sensitivity Analysis[J]. Power Engineering, 2014, 0(2): 108-114 |
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| Authors: | LU Fangming WANG Kun WEI Qi HUANG Shuhong LU Luyi ZHANG Yanping |
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| Affiliation: | 1 (1. School of Energy and Power Engineering, Huazhong University of Science and Technology Wuhan 430074, China; 2. Shanghai Power Equipment Research Institute, Shanghai 200240, China; 3. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430074, China) |
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| Abstract: | Based on parameter sensitivity analysis method, the influence of various factors on torsional fatigue property index of turbine-generator shafts was studied. Results show that the tensile strength, size factor and surface machining factor have same sensitivities to the torsional fatigue property index, of which the specific values are all 1. The larger the stress concentration coefficient, the higher the linearity of the sensitivity factor, and when the stress concentration coefficient is larger than 1.68, the sensitivity factor will be more than 1, which will become the main factor influencing the fatigue property. The notch sensi- tivity factor effects minimum on the fatigue strength. The estimation error of life expenditure may get up to 15.5 times because of the uncertainty of correction parameters. |
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| Keywords: | turbine-generator set shafting torsional fatigue property estimation~ S-N curve parametersensitivity |
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