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	HTGR helium turbine conceptual design by genetic/gradient optimization
	Yang, L ; Yu, SY ; Yang, GJ ; Huang, ZY
	2010-05-10 ; 2010-05-10
会议名称	APPLIED COMPUTATIONAL INTELLIGENCE ; 6th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science ; Blankenberge, BELGIUM ; Web of Science
关键词	Computer Science, Artificial Intelligence
中文摘要	Helium turbine is the key component of the power conversion unit for High Temperature Gas-cooled Reactor (HTGR) with direct gas cycle. Gas turbine design currently is a multidisciplinary process in which the relationships between constraints, objective functions and variables are very complicated. Due to the ever-increasing complexity of the process, it is very difficult for the designer to foresee the consequences of changing certain parts. Furthermore, helium is very different in thermal properties from air, it is uncertain whether the operation experiences of an air turbine may be used in the conceptual design of a helium turbine. Therefore, it is difficult to produce an optimal design with the general method of adaptation to baseline. In this paper, the genetic/gradient method is applied in the conceptual design of helium turbine. The design space is reduced by genetic algorithm and then the optimal solution is located by the gradient method. Results show that the convergent speed is high and the optimal design can be obtained by this method. The experiences from air turbine conceptual design could be used in helium turbine conceptual design without evident error.
会议录出版者	WORLD SCIENTIFIC PUBL CO PTE LTD ; SINGAPORE ; PO BOX 128 FARRER RD, SINGAPORE 9128, SINGAPORE
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/18769]
专题	清华大学
推荐引用方式 GB/T 7714	Yang, L,Yu, SY,Yang, GJ,et al. HTGR helium turbine conceptual design by genetic/gradient optimization[C]. 见:APPLIED COMPUTATIONAL INTELLIGENCE, 6th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science, Blankenberge, BELGIUM, Web of Science.

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