Torsional Vibration Analysis of Shaft Systems in SSO Basedon Improved Transfer Matrix Method

LIU Haoyu; GU Yujiong; SONG Guangxiong

doi:10.19805/j.cnki.jcspe.2026.240759

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Torsional Vibration Analysis of Shaft Systems in SSO Basedon Improved Transfer Matrix Method

更新时间：2026-10-10

- Torsional Vibration Analysis of Shaft Systems in SSO Basedon Improved Transfer Matrix Method
- Chinese Journal of Power Engineering Vol. 46, Issue 2, Pages: 164-173(2026)
- 作者机构：
  
  1. 华北电力大学能源动力与机械工程学院,北京,102206
  2. 华北电力大学国家火力发电工程技术研究中心,北京,102206
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.240759
  CLC：
- Online First：10 February 2026，
  
  Published：10 February 2026
- 稿件说明：
移动端阅览
刘昊煜,顾煜炯,宋光雄. 基于改进传递矩阵法的次同步振荡轴系扭振分析动力工程学报, 2026, 46(2): 164-173 https://doi.

org/10.19805/j.cnki.jcspe.2026.240759
刘昊煜,顾煜炯,宋光雄. 基于改进传递矩阵法的次同步振荡轴系扭振分析动力工程学报, 2026, 46(2): 164-173 https://doi. DOI： 10.19805/j.cnki.jcspe.2026.240759.

org/10.19805/j.cnki.jcspe.2026.240759 DOI：

摘要

传统Riccati传递矩阵法难以准确反映发生故障时汽轮机转子的动态特性

同时危险截面的判定主要基于交变应力幅

而忽略非零平均应力的影响可能导致疲劳损伤估算产生偏差

本文提出一种改进的评价方法

以故障前稳态运动参数为初始值

通过三点插值法实时计算各轴段非稳态下的运动状态

获得故障被检测时的真实响应

同时基于Goodman理论

在考虑平均应力的影响下

对疲劳损伤进行修正

以某600 MW汽轮发电机组的轴系为例

分析次同步频段内2种共振引起的疲劳损伤。结果表明:改进的响应计算方法显著降低了非稳态因素导致的误差;针对危险截面的判定需综合考虑次同步振荡激励的成分和强度。

Abstract

The traditional Riccati transfer matrix method exhitibs significant limitations in accurately reflecting the dynamic characteristics of steam turbine rotors under fault scenarios. Additionally

the identification of critical sections primarily relies on alternating stress amplitude

while neglecting the impact of non-zero mean stress

which may lead to deviations in fatigue damage estimation. An improved method was proposed

in which the steady-state motion parameters before the fault was taken as initial values.A three-point interpolation method was then employed to calculate the motion state of each shaft segment during the non-steady interval in real time

thereby capturing the true response when the fault was detected. Meanwhile

the fatigue damage was refined by incorporating the mean-stress effect based on Goodman's theory.A 600 MW steam turbine generator shafting was analyzed as an example to evaluate the fatigue damage caused by two types of resonance in the subsynchronous frequency range. Results show that the improved response calculation method significantly reduces errors caused by unsteady factors

and the identification of critical sections requires comprehensive consideration of the components and intensity of SSO excitation.

关键词

Keywords

references

GONG Yan, HUANG Qi, CAI Dongsheng, et al. Characteristics of sub-synchronous oscillation in grid-connected wind farm system[J]. Journal of Electronic Science and Technology, 2023, 21(4):100228.

WANG Liang, XIE Xiaorong, JIANG Qirong, et al. Investigation of SSR in practical DFIG-based wind farms connected to a series-compensated power system[J]. IEEE Transactions on Power Systems, 2015, 30(5):2772-2779.

LIU Huakun, XIE Xiaorong, LIU Wei. An oscillatory stability criterion based on the unified dq -frame impedance network model for power systems with high-penetration renewables[J ] . IEEE Transactions on Power Systems, 2018, 33(3):3472-3485.

向玲, 陈秀娟, 唐贵基. 汽轮发电机组轴系扭振响应分析[J]. 动力工程学报, 2011, 31(1):27-32.XIANG Ling, CHEN Xiujuan, TANG Guiji. Analysis on response of shaft torsional vibration in turbine-generator unit[J]. Journal of Chinese Society of Power Engineering, 2011, 31(1):27-32.

徐鼎杰, 李录平, 周子健, 等. 减振结构对600 MW汽轮发电机组轴系扭振抑制作用的研究[J]. 动力工程学报, 2020, 40(5):392-397.XU Dingjie, LI Luping, ZHOU Zijian, et al. Effects of damping structure on the suppression of torsional vibration in a 600 MW turbo-generator shaft system[J]. Journal of Chinese Society of Power Engineering, 2020, 40(5):392-397.

顾煜炯. 汽轮发电机组扭振安全性分析与应用[M]. 北京:科学出版社, 2013.

TAN Xing, CHEN Guoping, CHEN Weiting, et al. Analytical approach to the stepped multi-span rotor-bearing system with isotropic elastic boundary conditions[J]. Applied Mathematical Modelling, 2021, 100:394-409.

YANG Mo, HU Haonan, ZHOU Xian, et al. Effects of internal damping on the bending vibration characteristics of composite drive shaft[J]. Steel and Composite Structures, 2024, 52(6):663-672.

LOK P, VLACH R. Study of the response of the shaft loaded by unbalanced magnetic pull[C] //Proceedings of the 16th International Conference on Mechatronics-Mechatronika 2014. Brno, Czech Republic:IEEE, 2014:79-84.

CHASALEVRIS A, LOUIS J C. Evaluation of transient response of turbochargers and turbines using database method for the nonlinear forces of journal bearings[J]. Lubricants, 2019, 7(9):78.

HORNER G C,PILKEY W D. The Riccati transfer matrix method[J]. Journal of Mechanical Design, 1978, 100(2):297-302.

MENG Cheng, SU Ming, WANG Shaobo. An investigation on dynamic characteristics of a gas turbine rotor using an improved transfer matrix method[J]. Journal of Engineering for Gas Turbines and Power, 2013, 135(12):122505.

XIANG Ling, YANG Shixi, GAN Chunbiao. Torsional vibration of a shafting system under electrical disturbances[J]. Shock and Vibration, 2012, 19(6):1223-1233.

杨昆, 赵鹏程, 顾煜炯, 等. 汽轮机扭振作用下叶片响应及应力计算[J]. 动力工程学报, 2018, 38(3):193-197.YANG Kun, ZHAO Pengcheng, GU Yujiong, et al. Response and stress calculation of blades under the action of shaft torsional vibration in turbo-generator sets[J]. Journal of Chinese Society of Power Engineering, 2018, 38(3):193-197.

LIANG Yong, AN Zongwen, LIU Bo. Fatigue life prediction for wind turbine main shaft bearings[C] //Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). Chengdu, China:IEEE, 2013:888-893.

翁建明, 徐云柯, 赵鹏程, 等. 汽轮发电机组扭振引起疲劳损伤评价[J]. 热力发电, 2020, 49(1):91-97.WENG Jianming, XU Yunke, ZHAO Pengcheng, et al. Evaluation of fatigue damage of turbine generator shafting caused by torsional vibration[J]. Thermal Power Generation, 2020, 49(1):91-97.

GU Yujiong, JIN Tiezheng. Analysis on torsional fatigue life of turbo-generator shafts[C] //Proceedings of 2011 International Conference on Materials, Mechatronics and Automation (ICMMA 2011). Melbourne, Australia:the Trans Tech Publications Ltd, 2011:1858-1863.

SHI J, MENG G, MA X, et al. The simulation of vibration mechanism and dynamics analysis of eccentric shaft of billet caster[C] //Proceedings of the 3rd International Conference on Machinery, Materials Science and Engineering Applications (MMSE 2013). Wuhan, China:the Trans Tech Publications Ltd, 2013:40-43.

BOVSUNOVSKY A. Effect of abnormal operation of turbine generator on the resource of steam turbine shafting[C] //Proceedings of the International Conference on Design, Simulation, Manufacturing:The Innovation Exchange. Sumy, Ukraine:Springer, 2018:247-254.

HAN Zherui, WANG Kun, LU Luyi, et al. Fatigue damage assessment method of turbine shafts' torsional vibrations under SSO incidents[J] .Engineering Failure Analysis, 2019, 105:627-637.

WANG Wenke, XU Zhenzhen, ZHU Bo, et al. High cycle fatigue behavior of a dissimilar metal welded joint in ultra-supercritical steam turbine rotor[J] .Materials Research Express, 2020, 7(1):016565.

贾朋刚, 程广福, 文道维, 等. 常用大轴材料旋转弯曲疲劳行为研究[J]. 大电机技术, 2018(3):27-32.JIA Penggang, CHENG Guangfu, WEN Daowei, et al. Study on the fatigue behavior of the rotating bending of the common shaft material[J]. Large Electric Machine and Hydraulic Turbine, 2018(3):27-32.

KOHOUT J, VECHET S. Low-temperature and high-temperature anomalies in temperature shift of stress-lifetime fatigue curves[C] //Proceedings of the 5th International Conference on Materials Structure and Micromechanics of Fracture. Brno, Czech Republic, 2007.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Effect of Fractal Characteristics on Dynamic Response of Bionic Floating Wind Turbine Platform

Research on the Application of Singular Value Decomposition in Early Friction Fault Diagnosis

Ash Behavior and Slagging Characteristics in Co-firing of Arundo Donax with Typical Coals

Optimized Scheduling of Virtual Power Plant Considering Coal-biomass Co-firing Carbon Capture and Low Carbon Incentive Mechanism

Dual-channel Short-term Wind Power Forecasting Fusing Long- and Short-term Dependencies

Related Author

MIAO Weipao

YUE Minnan

LIU Qingsong

LI Chun

HUANG Haoda

ZHANG Wanyong

DING Qinwei

YU Wan

Related Institution

School of Engineering, University of Liverpool, The Quadrangle, Brownlow Hill L69 3GH, United Kingdom

School of Energy and Power Engineering, University of Shanghai for Science and Technology

SPIC Shandong Energy Development Co., Ltd.

Yatu New Energy Technology Co., Ltd.

Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering

AI问答

⁰