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Reliability Optimization of Structural Deformation with Improved Support Vector Regression Model
المؤلفون المشاركون
Fei, Cheng-Wei
Lu, Cheng
Zhu, Zheng-Zheng
Feng, Yun-Wen
المصدر
Advances in Materials Science and Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-18
دولة النشر
مصر
عدد الصفحات
8
الملخص EN
Deformation is one important failure mode of turbine blades.
The quality of a model seriously influences the reliability optimization of turbine blades in turbo machines.
To improve the reliability optimization of turbine blades, this paper proposes a novel machine learning-based reliability optimization approach, named improved support vector regression (SR) model (ISRM) method, by fusing artificial bee colony (ABC), traditional SR model, and multipopulation genetic algorithm (MPGA).
In this proposed method, the ABC algorithm was applied to find the optimal parameters in the SR model to establish accurate ISRM, following the thought of the surrogate model method and the randomness of constraints.
Then the reliability optimization model and procedure with the ISRM method were resolved by the MPGA.
Regarding many design parameters (i.e., rotor speed, temperature, and aerodynamic pressure), design objective (i.e., blade deformation), and the randomness constraints of reliability degree and boundary conditions, we performed the reliability optimization of a turbine blade deformation.
From the optimization results, we find that the turbine blade deformation is reduced by 0.09329 mm, and the ISRM learning method can improve the reliability optimization design of complex structures with the emphasis on modeling precision and optimization efficiency.
The works of this paper provide a machine learning-based reliability optimization approach for the reliability optimization of complex structures and enrich and develop mechanical reliability theory and methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhu, Zheng-Zheng& Feng, Yun-Wen& Lu, Cheng& Fei, Cheng-Wei. 2020. Reliability Optimization of Structural Deformation with Improved Support Vector Regression Model. Advances in Materials Science and Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1128271
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhu, Zheng-Zheng…[et al.]. Reliability Optimization of Structural Deformation with Improved Support Vector Regression Model. Advances in Materials Science and Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1128271
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhu, Zheng-Zheng& Feng, Yun-Wen& Lu, Cheng& Fei, Cheng-Wei. Reliability Optimization of Structural Deformation with Improved Support Vector Regression Model. Advances in Materials Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1128271
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1128271
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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