Journal
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
Volume 42, Issue 6, Pages 1219-1227Publisher
WILEY
DOI: 10.1111/ffe.12906
Keywords
multidisciplinary design and optimization; saddlepoint approximation reliability analysis; surrogate models; turbine blade component; turbine equipment
Funding
- China Postdoctoral Science Foundation [2015M580780, 2017T100685]
- National Natural Science Foundation of China [51605080, 11672070]
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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.
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