期刊
AIAA JOURNAL
卷 54, 期 9, 页码 2808-2818出版社
AMER INST AERONAUTICS ASTRONAUTICS
DOI: 10.2514/1.J054742
关键词
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资金
- National Natural Science Foundation of China [51305012, 51375031]
- Aviation Science Fund of China [2014ZB51, 2014ZBN3004]
- Defense Industrial Technology Development Program [B2120132006]
This paper presents the development of a collaborative optimization framework in combination with a variable-complexity modeling technique for the multidisciplinary coupling analysis and design of a shrouded turbine blade. The multidisciplinary optimization design of the shrouded turbine blade involves a high-fidelity detailed computational model and medium-fidelity models, which can become prohibitively expensive. In this investigation, a variable-complexity modeling methodology is introduced, where low-fidelity models and a scaling function are used to approximate the medium-and high-fidelity models through the optimizers in an inner-loop optimization to reduce computational expense. The optimization framework developed includes the collaborative optimization process, parametric modeling of the shrouded turbine blade, fluid-structure interaction solver using arbitrary Lagrangian-Eulerian formulation, an adaptive hexahedral structure mesh generator by establishing virtual blocks and parametric fixed points, and a variable-complexity modeling method combining the multiplicative and additive corrections to manage three levels of fidelity models. On the shrouded turbine-blade design problem, it achieves a feasible optimizer only calling nine high-fidelity analyses. Response surface model variation and cross-validation tests are performed to verify the predictive power of the response surface model in the multidisciplinary design optimization process of the shrouded turbine blade.
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