Accelerated Multifidelity Emulator Modeling for Probabilistic Rotor Response Study

Autor:	Harok Bae, Ian M. Boyd, Emily B. Carper, Jeff Brown
Rok vydání:	2019
Předmět:	Fuel Technology Nuclear Energy and Engineering 020209 energy Mechanical Engineering 0202 electrical engineering electronic engineering information engineering Energy Engineering and Power Technology Aerospace Engineering 02 engineering and technology
Zdroj:	Journal of Engineering for Gas Turbines and Power. 141
ISSN:	1528-8919 0742-4795
DOI:	10.1115/1.4045019
Popis:	This paper presents an efficient methodology to build a modal solution emulator for the probabilistic study of geometrically mistuned bladed rotors by using the newly developed localized-Galerkin multifidelity (LGMF) modeling and eigensolution reanalysis (ER) with the symmetric successive matrix inversion (SSMI) methods. The key idea of the mistuned blade emulator is to establish a reduced functional relationship between the stochastic geometric variations and the disturbed modal responses. The prediction accuracy of an emulator generally depends on how many training samples of modal solutions are available and how well the potential modal switching due to stochastic mistuning is captured. To reduce the computational costs of generating training samples without sacrificing accuracy, this paper introduces the collaborative framework of the new approaches of multifidelity (MF) modeling and ER. The proposed framework is demonstrated for its computational benefits with several numerical examples including the point-cloud scanned mistuned blade problem.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fb49f30ffadf2fb47377d1f536b17df1 https://doi.org/10.1115/1.4045019 Zobrazit plný text záznamu