Vibration analysis and parametric identification of low-pressure steam turbine blade with crack using ANN

被引:2
作者
Shetkar, Keshav Ramesh [1 ]
Srinivas, J. [1 ]
机构
[1] Natl Inst Technol, Dept Mech Engn, Machine Design & Anal, Rourkela 769008, Orissa, India
关键词
Artificial neural network; Campbell diagram; Parametric identification; Free vibration characteristics; Graphic user interface; Root flexibility; AEROFOIL CROSS-SECTION; FAILURE ANALYSIS; DYNAMIC-ANALYSIS; STRESS-ANALYSIS; ELEMENT; BEAM; ROOT;
D O I
10.1007/s40430-023-04238-2
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The structural integrity of steam turbine blades is crucial for successful operation and power generation. These blades are subjected to various types of excitations which include harmonic blade passing loads and fatigue loads that generate alternating stresses. In particular, fatigue loads result in microcracks at the root regions of the blades. The crack length varies with the operating speed, and if it is undetected in the early stages of operation, it may result in a catastrophic failure. The present work focuses on free and forced vibration analysis of a large pre-twisted aerofoil cantilever blade of the last-stage low-pressure (LP) turbine configuration. Initially, the Campbell diagram is obtained to identify critical speeds. Further, an interactive graphic user interface (GUI) is developed for free and forced vibration analysis of the twisted blade based on the conventional coupled bending-twisting theory. The user of the GUI can control various input parameters including root flexibility, pre-twist angle, and root-level damage factor, and study their variations on the natural frequencies and dynamic response. An artificial neural network (ANN) model based on a multilayer perceptron is employed to identify the output parameters using the measured modal data.
引用
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页数:13
相关论文
共 33 条
  • [1] Benjamin MD., 2021, FATIG FRACT ENG MAT, V45, P564
  • [2] Dynamic Stress Analysis of L-1 Low Pressure Steam Turbine Blade: Mathematical Modelling and Finite Element Method
    Bhagi, Loveleen Kumar
    Rastogi, Vikas
    Gupta, Pardeep
    Pradhan, Swastik
    [J]. MATERIALS TODAY-PROCEEDINGS, 2018, 5 (14) : 28117 - 28126
  • [3] Carnegie W., 1959, Proceedings of the Institution of Mechanical Engineers, V173, P343, DOI DOI 10.1243/PIMEPROC195917303802
  • [4] Chen Y., 2014, Journal of Applied Mathematics Physics, V2, P384, DOI [10.4236/jamp.2014.26045, DOI 10.4236/JAMP.2014.26045]
  • [5] A FAMILY OF SINGLE-STEP HOUBOLT TIME INTEGRATION ALGORITHMS FOR STRUCTURAL DYNAMICS
    CHUNG, JT
    HULBERT, GM
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1994, 118 (1-2) : 1 - 11
  • [6] Transient stress analysis and fatigue life estimation of turbine blades
    Dhar, D
    Sharan, AM
    Rao, JS
    [J]. JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2004, 126 (04): : 485 - 495
  • [7] Dimarogonas A.D., 2013, ANAL METHODS ROTOR D, DOI DOI 10.1007/978-94-007-5905-31283.74002
  • [8] FINITE-ELEMENT EIGENVALUE ANALYSIS OF TAPERED AND TWISTED TIMOSHENKO BEAMS
    GUPTA, RS
    RAO, SS
    [J]. JOURNAL OF SOUND AND VIBRATION, 1978, 56 (02) : 187 - 200
  • [9] TRAINING FEEDFORWARD NETWORKS WITH THE MARQUARDT ALGORITHM
    HAGAN, MT
    MENHAJ, MB
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (06): : 989 - 993
  • [10] Hariprasad T, 2017, INT J RES APPL SCI E, P1284