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个人信息Personal Information
教授
招生学科专业:
动力工程及工程热物理 -- 【招收博士、硕士研究生】 -- 能源与动力学院
航空宇航科学与技术 -- 【招收博士、硕士研究生】 -- 能源与动力学院
机械 -- 【招收硕士研究生】 -- 能源与动力学院
能源动力 -- 【招收博士、硕士研究生】 -- 能源与动力学院
毕业院校:东南大学
学历:东南大学
学位:工学博士学位
所在单位:能源与动力学院
办公地点:御道街29号
联系方式:c.zang@nuaa.edu.cn
电子邮箱:
Mistuning sensitivity and optimization for bladed disks using high-fidelity models
点击次数:
所属单位:能源与动力学院
发表刊物:Mech Syst Signal Process
摘要:An effective method is developed for efficient calculations of the sensitivity of the maximum forced response levels for mistuned bladed disks with respect to blade frequency mistuning. The expressions for 1st and 2nd order sensitivity coefficients are derived in an analytical form which provides high accuracy and computational efficiency. Then, the optimization methods are used for searching the best and worst mistuning patterns of bladed disks. Two major types of the mistuning optimization problems are considered: (i) a continuous optimization problem when the blade mistuning can take any values from a prescribed range and (ii) a combinatorial optimization problem, when the set of mistuned blades is given and the optimization can be achieved by blade re-arrangement in a disk. For the first type of the optimization problem a set of sensitivity-based optimization algorithms is applied and for the second type a variant of a genetic algorithm is developed. The analysis of mistuning sensitivity coefficients and results of optimization searching are shown on an example of a realistic turbine bladed disk. © 2019
ISSN号:0888-3270
是否译文:否
发表时间:2019-01-01
合写作者:Tan, Yuanqiu,Petrov, E.P.
通讯作者:臧朝平