The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades
In order to improve the reliability analysis precision of turbine blades, the fuzzy response surface method (FRSM, Fuzzy Response Surface Method) of structural reliability analysis is put forward considering the fuzziness of input variables and limit states. First, using the method of equivalent tra...
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Harbin University of Science and Technology Publications
2019-08-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1708 |
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| author | PAN Cheng-yi WEI Wen-long ZHANG Chun-yi |
| author_facet | PAN Cheng-yi WEI Wen-long ZHANG Chun-yi |
| author_sort | PAN Cheng-yi |
| collection | DOAJ |
| description | In order to improve the reliability analysis precision of turbine blades, the fuzzy response surface method (FRSM, Fuzzy Response Surface Method) of structural reliability analysis is put forward considering the fuzziness of input variables and limit states. First, using the method of equivalent transformation, the input variables with fuzziness is converted into equivalent random variables. Then, the mathematic model of fuzzy response surface for structural reliability analysis is established based on the quadratic polynomial response surface function. The mean value and the variance of the stresses and radial deformations of the blades were gained through a lot of joint sampling of the model using the Monte Carlo method. Finally, the event failure probability and the fuzzy random reliability index are calculated based on the probability integral method. The analysis result shows that the blade reliability indexes decrease with the increase of fuzzy coefficient. Compared with the traditional method based on random variables, this method is more reasonable for the description of uncertainty, and the evaluation of reliability is more accurate theoretically. |
| format | Article |
| id | doaj-art-41f4685b5691424d8db1e2ab75482221 |
| institution | DOAJ |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2019-08-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-41f4685b5691424d8db1e2ab754822212025-08-20T03:06:13ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-08-012404657010.15938/j.jhust.2019.04.011The Fuzzy Response Surface Reliability Analysis Method of Turbine BladesPAN Cheng-yi0WEI Wen-long1ZHANG Chun-yi2School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaScientific Research Department of Military Products, Jiangnan Industries Group Co., Ltd., Xiangtan 411207, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaIn order to improve the reliability analysis precision of turbine blades, the fuzzy response surface method (FRSM, Fuzzy Response Surface Method) of structural reliability analysis is put forward considering the fuzziness of input variables and limit states. First, using the method of equivalent transformation, the input variables with fuzziness is converted into equivalent random variables. Then, the mathematic model of fuzzy response surface for structural reliability analysis is established based on the quadratic polynomial response surface function. The mean value and the variance of the stresses and radial deformations of the blades were gained through a lot of joint sampling of the model using the Monte Carlo method. Finally, the event failure probability and the fuzzy random reliability index are calculated based on the probability integral method. The analysis result shows that the blade reliability indexes decrease with the increase of fuzzy coefficient. Compared with the traditional method based on random variables, this method is more reasonable for the description of uncertainty, and the evaluation of reliability is more accurate theoretically.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1708fuzzinessreliability analysisfuzzy response surface methodturbine bladeaero engine |
| spellingShingle | PAN Cheng-yi WEI Wen-long ZHANG Chun-yi The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades Journal of Harbin University of Science and Technology fuzziness reliability analysis fuzzy response surface method turbine blade aero engine |
| title | The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades |
| title_full | The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades |
| title_fullStr | The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades |
| title_full_unstemmed | The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades |
| title_short | The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades |
| title_sort | fuzzy response surface reliability analysis method of turbine blades |
| topic | fuzziness reliability analysis fuzzy response surface method turbine blade aero engine |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1708 |
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