Full-field dynamic strain reconstruction of an aero-engine blade from limited displacement responses
Chunyan AO, Baijie QIAO, Kai ZHOU, Lei CHEN, Shunguo FU, Xuefeng CHEN
Full-field dynamic strain reconstruction of an aero-engine blade from limited displacement responses
Blade strain distribution and its change with time are crucial for reliability analysis and residual life evaluation in blade vibration tests. Traditional strain measurements are achieved by strain gauges (SGs) in a contact manner at discrete positions on the blades. This study proposes a method of full-field and real-time strain reconstruction of an aero-engine blade based on limited displacement responses. Limited optical measured displacement responses are utilized to reconstruct the full-field strain. The full-field strain distribution is in-time visualized. A displacement-to-strain transformation matrix is derived on the basis of the blade mode shapes in the modal coordinate. The proposed method is validated on an aero-engine blade in numerical and experimental cases. Three discrete vibrational displacement responses measured by laser triangulation sensors are used to reconstruct the full-field strain over the whole operating time. The reconstructed strain responses are compared with the results measured by SGs and numerical simulation. The high consistency between the reconstructed and measured results demonstrates the accurate strain reconstructed by the method. This paper provides a low-cost, real-time, and visualized measurement of blade full-field dynamic strain using displacement response, where the traditional SGs would fail.
aero-engine blade / displacement response / dynamic strain reconstruction / mode shape / strain gauge
[1] |
Chen X F , Wang S B , Qiao B J , Chen Q . Basic research on machinery fault diagnostics: past, present, and future trends. Frontiers of Mechanical Engineering, 2018, 13(2): 264–291
CrossRef
Google scholar
|
[2] |
Zhu Y P , Wang Y , Luo Z , Han Q K , Wang D Y . Similitude design for the vibration problems of plates and shells: a review. Frontiers of Mechanical Engineering, 2017, 12(2): 253–264
CrossRef
Google scholar
|
[3] |
Ma H , Xie F T , Nai H Q , Wen B C . Vibration characteristics analysis of rotating shrouded blades with impacts. Journal of Sound and Vibration, 2016, 378: 92–108
CrossRef
Google scholar
|
[4] |
Gao Y , Liu X Y , Xiang J W . FEM simulation-based generative adversarial networks to detect bearing faults. IEEE Transactions on Industrial Informatics, 2020, 16(7): 4961–4971
CrossRef
Google scholar
|
[5] |
Yang F M , Yang Y M , Hu H F , Guan F J , Shen G J , Chen S Y , Bian Z F . Extraction of features due to breathing crack from vibration response of rotated blades considering tenon connection and shroud contact. Shock and Vibration, 2019, 2019: 8729620
CrossRef
Google scholar
|
[6] |
Guo H T, Duan F J, Zhang J L. Blade resonance parameter identification based on tip-timing method without the once-per revolution sensor. Mechanical Systems and Signal Processing, 2016, 66–67: 625–639
CrossRef
Google scholar
|
[7] |
Du Z H , Chen X F , Zhang H , Zi Y Y , Yan R Q . Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes. Frontiers of Mechanical Engineering, 2017, 12(3): 333–347
CrossRef
Google scholar
|
[8] |
Bouchain A , Picheral J , Lahalle E , Chardon G , Vercoutter A , Talon A . Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm. Mechanical Systems and Signal Processing, 2019, 130: 108–121
CrossRef
Google scholar
|
[9] |
Xu J H , Qiao B J , Liu M R , Yang Z B , Chen X F . Crack propagation monitoring of rotor blades using synchroextracting transform. Journal of Sound and Vibration, 2021, 509: 116253
CrossRef
Google scholar
|
[10] |
Battiato G , Firrone C M , Berruti T M . Forced response of rotating bladed disks: blade tip-timing measurements. Mechanical Systems and Signal Processing, 2017, 85: 912–926
CrossRef
Google scholar
|
[11] |
Poozesh P, Baqersad J, Niezrecki C, Avitabile P, Harvey E, Yarala R. Large-area photogrammetry based testing of wind turbine blades. Mechanical Systems and Signal Processing, 2017, 86(Part B): 98–115
CrossRef
Google scholar
|
[12] |
Qiao B J , Ao C Y , Mao Z , Chen X F . Non-convex sparse regularization for impact force identification. Journal of Sound and Vibration, 2020, 477: 115311
CrossRef
Google scholar
|
[13] |
Huh Y H , Kim J , Hong S G . Detection of local bonding failure damage by digital image correlation technique. Reliability Engineering & System Safety, 2019, 184: 21–26
CrossRef
Google scholar
|
[14] |
Khadka A , Fick B , Afshar A , Tavakoli M , Baqersad J . Non-contact vibration monitoring of rotating wind turbines using a semi-autonomous UAV. Mechanical Systems and Signal Processing, 2020, 138: 106446
CrossRef
Google scholar
|
[15] |
Retze U, Schüssler M. Dynamic Stress and Strain Measurement. Polytec Technical Papers, 2010
|
[16] |
Sever I A , Maguire M . Correlation of full-field dynamic strain measurements with reverse engineered finite element model predictions. Experimental Techniques, 2021, 45(3): 377–387
CrossRef
Google scholar
|
[17] |
Liu C H , Zang C P , Zhou B . Extension of continuous scanning laser Doppler vibrometry measurement for complex structures with curved surfaces. Chinese Journal of Aeronautics, 2020, 33(12): 3220–3227
CrossRef
Google scholar
|
[18] |
Chen Y C , Escalera Mendoza A S , Griffith D T . Experimental and numerical study of high-order complex curvature mode shape and mode coupling on a three-bladed wind turbine assembly. Mechanical Systems and Signal Processing, 2021, 160: 107873
CrossRef
Google scholar
|
[19] |
Vuye C , Vanlanduit S , Presezniak F , Steenackers G , Guillaume P . Optical measurement of the dynamic strain field of a fan blade using a 3D scanning vibrometer. Optics and Lasers in Engineering, 2011, 49(7): 988–997
CrossRef
Google scholar
|
[20] |
Maguire M , Sever I . Full-field strain measurements on turbomachinery components using 3D SLDV technology. AIP Conference Proceedings, 2016, 1740(1): 080001
CrossRef
Google scholar
|
[21] |
Luo W , Li J H , Ma X F , Wei W . A novel static deformation measurement and visualization method for wind turbine blades using home-made LiDAR and processing program. Optics and Lasers in Engineering, 2020, 134: 106206
CrossRef
Google scholar
|
[22] |
Chen Y C , Joffre D , Avitabile P . Underwater dynamic response at limited points expanded to full-field strain response. Journal of Vibration and Acoustics, 2018, 140(5): 051016
CrossRef
Google scholar
|
[23] |
Sarrafi A , Poozesh P , Niezrecki C , Mao Z . Mode extraction on wind turbine blades via phase-based video motion estimation. Proceeding SPIE 10171, Smart Materials and Nondestructive Evaluation for Energy Systems, 2017, 10171: 101710E
CrossRef
Google scholar
|
[24] |
Baqersad J , Bharadwaj K . Strain expansion-reduction approach. Mechanical Systems and Signal Processing, 2018, 101: 156–167
CrossRef
Google scholar
|
[25] |
Bharadwaj K , Sheidaei A , Afshar A , Baqersad J . Full-field strain prediction using mode shapes measured with digital image correlation. Measurement, 2019, 139: 326–333
CrossRef
Google scholar
|
[26] |
Chen Z S , Sheng H , Xia Y M , Wang W M , He J . A comprehensive review on blade tip timing-based health monitoring: status and future. Mechanical Systems and Signal Processing, 2021, 149: 107330
CrossRef
Google scholar
|
[27] |
Zhang X J , Wang Y R , Jiang X H , Gao S M . Blade vibration stress determination method based on blade tip timing simulator and finite element method. Journal of Engineering for Gas Turbines and Power, 2020, 142(3): 031001
CrossRef
Google scholar
|
[28] |
Wang W M , Hu D F , Li Q H , Zhang X L . An improved non-contact dynamic stress measurement method for turbomachinery rotating blades based on fundamental mistuning model. Mechanical Systems and Signal Processing, 2020, 144: 106851
CrossRef
Google scholar
|
[29] |
Mohamed M , Bonello P , Russhard P . A novel method for the determination of the change in blade tip timing probe sensing position due to steady movements. Mechanical Systems and Signal Processing, 2019, 126: 686–710
CrossRef
Google scholar
|
[30] |
Wu S M , Zhao Z B , Yang Z B , Tian S H , Yang L H , Chen X F . Physical constraints fused equiangular tight frame method for blade tip timing sensor arrangement. Measurement, 2019, 145: 841–851
CrossRef
Google scholar
|
[31] |
Bornassi S , Berruti T M , Firrone C M , Battiato G . Vibration parameters identification of turbomachinery rotor blades under transient condition using blade tip-timing measurements. Measurement, 2021, 183: 109861
CrossRef
Google scholar
|
[32] |
Chakraborty A , Shishkin S , Birnkrant M J . Optimal control of build height utilizing optical profilometry in cold spray deposits. Proceeding SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 2017, 10168: 101683H
CrossRef
Google scholar
|
[33] |
Kochkin D Y , Zaitsev D V , Kabov O A . Thermocapillary rupture and contact line dynamics in the heated liquid layers. Interfacial Phenomena and Heat Transfer, 2020, 8(1): 1–9
CrossRef
Google scholar
|
[34] |
Kranjc T , Slavič J , Boltežar M . A comparison of strain and classic experimental modal analysis. Journal of Vibration and Control, 2016, 22(2): 371–381
CrossRef
Google scholar
|
[35] |
Rao S S , Atluri S N . The finite element method in engineering. Journal of Applied Mechanics, 1983, 50(4a): 914
CrossRef
Google scholar
|
[36] |
HumarJ. Dynamics of Structures. 3rd ed. Boca Baton: CRC Press, 2012
|
[37] |
Zhou Y D , Tao J Y . Theoretical and numerical investigation of stress mode shapes in multi-axial random fatigue. Mechanical Systems and Signal Processing, 2019, 127: 499–512
CrossRef
Google scholar
|
[38] |
Chen H , Song H W . Analysis of strain modals and the relationship between the strain modals and displacement modals. Noise and Vibration Control, 2016, 36(4): 7–13
|
[39] |
Ao C Y , Qiao B J , Chen L , Xu J H , Liu M R , Chen X F . Blade dynamic strain non-intrusive measurement using L1/2-norm regularization and transmissibility. Measurement, 2022, 190: 110677
CrossRef
Google scholar
|
[40] |
Zhang X D. Matrix Analysis and Applications. Cambridge: Cambridge University Press, 2017
CrossRef
Google scholar
|
[41] |
Kharyton V , Bladh R . Using tiptiming and strain gauge data for the estimation of consumed life in a compressor blisk subjected to stall-induced loading. In: Proceedings of the ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. Volume 7B: Structures and Dynamics. Düsseldorf: ASME, 2014,
CrossRef
Google scholar
|
[42] |
Wu S M , Russhard P , Yan R Q , Tian S H , Wang S B , Zhao Z B , Chen X F . An Adaptive online blade health monitoring method: from raw data to parameters identification. IEEE Transactions on Instrumentation and Measurement, 2020, 69(5): 2581–2592
CrossRef
Google scholar
|
[43] |
Duffy K P, Provenza A J, Bakhle M, Min J B, Abdul-Aziz A. Laser displacement measurements of fan blades in resonance and flutter during the boundary layer ingesting inlet and distortion-tolerant fan test. In: Proceedings of 2018 AIAA Aerospace Sciences Meeting. Kissimmee: AIAA, 2018
CrossRef
Google scholar
|
[44] |
Aadnøy B, Looyeh R. Petroleum Rock Mechanics. Gulf Professional Publishing, 2011
CrossRef
Google scholar
|
[45] |
Dowling N E. Mechanical Behavior of Materials: Engineering Methods for Deformation, Fracture, and Fatigue. 3rd ed. London: Pearson Prentice Hall Ltd., 2007
|
[46] |
Wu Y , Liu G , Liu Z Q , Wang B . Formability and microstructure of Ti22Al24.5Nb0.5Mo rolled sheet within hot gas bulging tests at constant equivalent strain rate. Materials & Design, 2016, 108: 298–307
CrossRef
Google scholar
|
[47] |
ANSYSI. Help System: Mechanical APDL Element Reference, 19.0. 2018
|
[48] |
Kamaraj A V. Stress prediction in turbine blades under forced excitation. Thesis for the Master’s Degree. San Diego: San Diego State University, 2016
|
/
〈 | 〉 |