WEN Siguo, CHEN Jiuru, JI Dawei, et al. Dynamic Sensitivity Analysis of Turbine-Generator Shaft Train Based on Dynamic Load Correction[J]. Journal of Xi'an Jiaotong University,2026,60 (9):187-196. https://doi.org/10.7652/xjtuxb202609018.
DOI:
WEN Siguo, CHEN Jiuru, JI Dawei, et al. Dynamic Sensitivity Analysis of Turbine-Generator Shaft Train Based on Dynamic Load Correction[J]. Journal of Xi'an Jiaotong University,2026,60 (9):187-196. https://doi.org/10.7652/xjtuxb202609018.DOI:
Dynamic Sensitivity Analysis of Turbine-Generator Shaft Train Based on Dynamic Load Correction
To address the complex coupling of dynamic loads in turbine-generator shaft trains under multi-rotor and support boundary conditions
a dynamic load correction method for turbinegenerator shaft trains is proposed.An iterative solution procedure between the shaft-system response and the dynamic support loads is established
in which continuously varying loads are decomposed into multiple steady-state iterative processes to approximate a time-domain solution.An industrial turbine-generator shaft train is taken as the research object
and unbalance response calculations and analyses are performed.The sensitivity of the shaft-system dynamic characteristics under the coupled effects of bearing parameters and additional coupling mass is also investigated.The proposed method is validated by comparison with actual operating data of the unit.The results show that the rotor response can be accurately predicted while computational efficiency is maintained
and the relative error between the calculated and experimental values of the second critical speed is only 0.39%
and the error is reduced by 5.44% compared with the traditional method
which verifies the effective-ness of the proposed method.It is shown by the sensitivity analysis of the coupling and bearing parameters that bearing load and clearance mainly affect the first critical speed and stability of the shaft train
whereas coupling mass has a more significant influence on the second critical speed and stability.An effective computational model and method for shaft-train dynamic analysis and optimization are provided by this study.
Chasalevris A,Gavalas I,Sawicki J T.Optimal bearing configuration selection for power generation shafttrains:a linear and nonlinear dynamics approach[J].Journal of Sound and Vibration,2025,599:118907.
Chasalevris A, Dohnal F.Improving stability and operation of turbine rotors using adjustable journal bearings[J].Tribology International,2016,104:369-382.
He Guoan,Zhang Xueyan,Zhang Weijun.Research status and development trends of turbo-generator shaft system vibration[J].Thermal Power Generation, 2016,45(11):1-4.
He Jiangnan,Yang Ling,Chen Honglian,et al.Study on shafting dynamic characteristics of 660 MW ultrasupercritical turbine-generator unit[J].Dongfang Electric Review,2023,37(3):45-49.
Zou Zhengping,Chen Yongchao,Yao Lichao,et al.A review of impact of multi-source uncertainties on aerodynamic and heat transfer performance of turbine[J].Journal of Propulsion Technology,2025,46(10):1-44.
Zhang Yong,Lu Zhang.Analysis and verification of dynamic sensitivity of transcritical flexible rotor system[J].Journal of Machine Design,2026,43(3):8-14.
Duan Ruke,He Jiaxiang,Li Maoyi.Parameters sensitivity study of rotor dynamics based on finite element model[J].Journal of Projectiles,Rockets,Missiles and Guidance,2025,45(6):1016-1022.
Wang Junying,Zheng Xinqian.Review of geometric uncertainty quantification in gas turbines[J].Journal of Engineering for Gas Turbines and Power,2020, 142(7):070801.
Li Jun,Li Zhiyu,Li Zhigang,et al.Aerothermal performance of high pressure turbine stage with combustor-turbine interactions:review[J].Acta Aeronautica et Astronautica Sinica,2021,42(3):136-161.
Liu Yiming,Ju Yaping,Qin Ruihong,et al.Collaborative robust design optimization of blade geometry and manufacturing tolerance for a transonic centrifugal impeller[J].Journal of Turbomachinery,2023,145(7):071001.
许本胜.转子系统动力学响应的不确定性分析及稳健优化设计[D].南京:南京航空航天大学,2023.
刘彦旭.模型不确定转子系统建模方法及其动力学特性研究[D].郑州:河南工业大学,2024.
Fu Chao,Ren Xingmin,Yang Yongfeng,et al.Dynamic response analysis of an overhung rotor with interval uncertainties[J].Nonlinear Dynamics,2017, 89(3):2115-2124.
Moustafa K A F,El-Awady H.Interval rotor-bearing systems stability via Monte Carlo simulation[J].International Journal of Modelling and Simulation,2008, 28(2):202-208.
Tyminski N C,Tuckmantel F W S,Cavalca K L,et al.Bayesian inference applied to journal bearing parameter identification[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering,2017, 39(8):2983-3004.
Ramos D J,Ferraz A R,Daniel G B,et al.Dynamic analysis of rotating systems considering uncertainties in the bearings'parameters[C]//Proceedings of the 10th International Conference on Rotor Dynamics-IFToMM.Cham, Switzerland:Springer International Publishing, 2019:460-474.
D'Alessandro F,Festjens H,Chevallier G,et al.Proper orthogonal decomposition-based surrogate modeling approximation for aeroengines nonlinear unbalance responses[J].Journal of Engineering for Gas Turbines and Power,2024,146(1):011013.
Qin Xin,Ji Dawei,Wang Xiaojing,et al.Research on simulation of dynamic performance of active control tilting pad bearing-rotor system[J].Industrial Control Computer,2022,35(4):100-101.
Research on the Strength and Vibration Characteristics of Turbine Blades under Fluid-Thermal-Solid Conditions
Stability Analysis of Active Vibration Control System Involving Double Time Delays
Steady-State Modeling of HVDC Transmission Considering Complex Control Switching Characteristics and Solution of System Equilibrium Points
Growth-pH Coupling Mechanism and Prediction Model for Synechococcus in Sodium Bicarbonate Culture System
Optimal Design of a Bipolar Ultra-Low-Field Magnetic Resonance Imaging Magnet Using Third-Order Bézier Radial Parameterization and a Dual-Material Architecture
Related Author
FAN Xinyan
YUAN Qi
LIU Yang
孙清 1
刘正伟 1
伍晓红 2
张斌 1
Related Institution
西安交通大学能源与动力工程学院,710049,西安School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
西安交通大学陕西省叶轮机械及动力装备工程实验室,710049,西安Shaanxi Provincial Engineering Laboratory of Turbomachinery and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China
Department of Civil Engineering, Xi'an Jiaotong University