Extremum hybrid intelligent-inspired models for accurate predicting mechanical performances of turbine blisk-Reference-Cited by-同舟云学术

Extremum hybrid intelligent-inspired models for accurate predicting mechanical performances of turbine blisk

Published:2023-05 Issue: Volume:190 Page:110136
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Lu Cheng,Teng Da,Keshtegar Behrooz^ORCID,Alkabaa Abdulaziz S.,Taylan Osman,Fei Cheng-Wei^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference49 articles.

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3. Fatigue reliability assessment of turbine discs under multi-source uncertainties;Zhu;Fatigue Fract. Eng. Mater. Struct.,2018

4. Parametric modeling and dynamic characteristics analysis of a power turbine rotor system;Huang;Int. J. Turbo Jet-Engines,2019

5. Dynamic investigation of aeroengine high pressure rotor system considering assembly characteristics of bolted joints;Sun;Eng. Fail. Anal.,2020

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