Analysis of sensitivity and optimization for mistuned bladed disk forced response using high-fidelity models

Tan, Yuanqiu, Zang, Chaoping and Petrov, E P (2019) Analysis of sensitivity and optimization for mistuned bladed disk forced response using high-fidelity models. Mechanical Systems and Signal Processing, 124 (1). pp. 502-523. ISSN 0888-3270

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Abstract

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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Dynamics, Control and Vehicle Research Group
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ0170 Mechanics applied to machinery. Dynamics
T Technology > TJ Mechanical engineering and machinery > TJ0266 Turbines. Turbomachines (General)
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Depositing User: Yevgen Petrov
Date Deposited: 13 Feb 2019 10:27
Last Modified: 02 Jul 2019 13:01
URI: http://sro.sussex.ac.uk/id/eprint/81919

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