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Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model
Author(s) -
Meng Debiao,
Yang Shunqi,
Zhang Yu,
Zhu ShunPeng
Publication year - 2019
Publication title -
fatigue and fracture of engineering materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 84
eISSN - 1460-2695
pISSN - 8756-758X
DOI - 10.1111/ffe.12906
Subject(s) - reliability (semiconductor) , surrogate model , turbine , multidisciplinary design optimization , turbine blade , reliability engineering , process (computing) , aerodynamics , engineering design process , engineering , nonlinear system , design process , power (physics) , computer science , multidisciplinary approach , control engineering , mechanical engineering , work in process , aerospace engineering , physics , quantum mechanics , machine learning , social science , operations management , sociology , operating system
Abstract In power and energy systems, both the aerodynamic performance and the structure reliability of turbine equipment are affected by utilized blades. In general, the design process of blade is high dimensional and nonlinear. Different coupled disciplines are also involved during this process. Moreover, unavoidable uncertainties are transported and accumulated between these coupled disciplines, which may cause turbine equipment to be unsafe. In this study, a saddlepoint approximation reliability analysis method is introduced and combined with collaborative optimization method to address the above challenge. During the above reliability analysis and design optimization process, surrogate models are utilized to alleviate the computational burden for uncertainties‐based multidisciplinary design and optimization problems. Smooth response surfaces of the performance of turbine blades are constructed instead of expensively time‐consuming simulations. A turbine blade design problem is solved here to validate the effectiveness and show the utilization of the given approach.