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Topics in Modal Analysis II, Volume 8
Preface
6
Contents
8
Chapter 1 Integrating Multiple Algorithms in Autonomous Modal Parameter Estimation
11
1.1 Introduction
12
1.2 Background
12
1.2.1 Spatial Information
12
1.2.2 Autonomous Modal Parameter Estimation
13
1.2.3 Pole Weighted Modal Vectors
13
1.3 Multi-algorithm, Extended Consistency Diagrams
15
1.4 Autonomous Modal Parameter Estimation with Extended Consistency Diagrams
17
1.5 Summary and Future Work
18
References
19
Chapter 2 Effects of Magneto-Mechanical Coupling on Structural Modal Parameters
20
2.1 Introduction
20
2.2 The Test Setup
21
2.2.1 Emerging Effects
21
2.2.2 Mathematical Description of the System
22
2.2.3 Parameter Identification
22
2.3 3D FEM Model
23
2.4 Measurements
26
2.5 Results
27
2.6 Conclusion and Outlook
27
References
27
Chapter 3 Extraction of Modal Parameters of Micromachined Resonators in Higher Modes
28
3.1 Introduction
28
3.2 Theory
29
3.2.1 Functional Description
29
3.2.2 Numerical Procedure
30
3.2.3 Experimental Procedure
30
3.3 Results and Discussion
30
3.3.1 Natural Frequency
31
3.3.2 Damping
34
3.3.3 Influence of Loading
35
3.4 Conclusion
36
References
36
Chapter 4 Normalization of Experimental Modal Vectors to Remove Modal Vector Contamination
37
4.1 Introduction
38
4.2 Background
38
4.2.1 Modal Vectors from Weighted Estimation of Residues
38
4.2.2 Modal Assurance Criterion
39
4.2.2.1 Special Forms of the Modal Assurance Criterion
40
4.2.3 Modal Vector Contamination: Simple Example
41
4.3 Normalization of the Modal Weighting (Participation) Vector
41
4.3.1 Central Axis Rotation
41
4.3.2 Modal Vector Complexity
42
4.3.3 Proposed New Methodology
43
4.4 15 DOF Analytical Example
43
4.5 C-Plate Example
43
4.5.1 C-Plate Example: Estimates with Complex Weighting
45
4.5.2 C-Plate Example: Estimates with Real Weighting
46
4.6 Summary and Future Work
48
References
49
Chapter 5 Effective Use of Scanning Laser Doppler Vibrometers for Modal Testing
50
5.1 Introduction
50
5.1.1 Scope of Paper
50
5.1.2 Introduction to SLDVs
50
5.2 Use of SLDVs in Modal Analysis
51
5.2.1 Changes to Test Design
51
5.2.2 Import of SLDV Data: The Universal File Format
53
5.2.2.1 Origin of the Universal File Format
53
5.2.2.2 Important UFF Datasets for Modal Analysis
53
5.2.2.3 UFF and SLDV
54
5.2.3 Management of Hybrid Datasets
54
5.2.4 Matching SLDV Test Geometries to FE Models
54
5.3 Case Study
56
5.3.1 Virtual Testing and Experimental Analysis
56
5.3.2 Experimental Modal Analysis and Model Correlation
59
5.3.3 Model Updating
60
5.3.3.1 Model Updating Using Global Parameters of Component Subsets
61
5.3.3.2 Model Updating Using Local Parameters
62
5.4 Conclusions
64
References
65
Chapter 6 Precise Frequency Domain Algorithm of Half Spectrum and FRF
66
6.1 Introduction
66
6.2 Precise Frequency Domain Algorithm
68
6.2.1 Half Spectrum
68
6.2.2 Impact Test
69
6.2.3 Continuous Exciting
70
6.3 Examples
70
6.3.1 Precise Half Spectrum and Coherence Function
70
6.3.2 Impact Test and Coherence Function
71
6.4 Conclusions
75
References
76
Chapter 7 Identification of a Time-Varying Beam Using Hilbert Vibration Decomposition
77
7.1 Introduction
77
7.2 The Hilbert-Huang Transform as a Tool to Compute Instantaneous Properties of Multi-Component Signals
77
7.2.1 The Empirical Mode Decomposition as Sifting Process
78
7.2.2 The Hilbert Transform and the Analytic Signal for the Extraction of Instantaneous Characteristics
78
7.3 The Hilbert Vibration Decomposition Method
79
7.4 Drawbacks of the HHT and HVD Methods
79
7.5 Modified Hilbert Vibration Decomposition Method
81
7.5.1 Addition of a Source Separation Step to Avoid Mode Switching
81
7.5.2 Instantaneous Phase/Frequency and Mode Deflection Shapes Calculation
82
7.6 Numerical Application
83
7.6.1 Identification of Instantaneous Frequencies
84
7.6.2 Component Extraction and Calculation of Mode Deflection Shapes
84
7.7 Conclusion
85
References
87
Chapter 8 Recovery of Operational Deflection Shapes from Noise-Corrupted Measurement Data from CSLDV: Comparison Between Polynomial and Mode Filtering Approaches
88
8.1 Introduction
88
8.2 Measurement of ODSs of LINX Tail Cone Using CSLDV
89
8.2.1 Step Scanning Method
89
8.2.2 Investigation of Stepped Scan and Continuous Scan Signals
90
8.2.3 Continuous Scanning LDV Method
91
8.2.4 Mode Matching Analysis
91
8.3 Conclusions
93
References
96
Chapter 9 Exploiting Imaging Techniques to Overcome the Limits of Vibration Testing in High Excitation Level Conditions
97
9.1 Introduction
97
9.2 Camera-Based and LDV-Based Tests Set-Up
98
9.3 Image Processing Method
99
9.4 Analysis of Results
100
9.4.1 Sensitivity to Spatial Resolution
100
9.4.2 Sensitivity to Spatial Averaging
100
9.4.3 Sensitivity to Edge Effects
100
9.5 Conclusion
103
References
104
Chapter 10 An Experimental Modal Channel Reduction Procedure Using a Pareto Chart
105
10.1 Introduction
105
10.2 Theory
106
10.3 Test Description
107
10.4 Results
108
10.5 Modal Testing
109
10.6 Finite Element Modeling
111
10.7 Conclusion
113
References
113
Chapter 11 Unique Isolation Systems to Protect Equipment in Navy Shock Tests
115
11.1 Introduction
115
11.2 Seamount Isolators
116
11.2.1 Description of the Isolator
117
11.3 Family of Seamounts
117
11.4 Barge Test Program
118
11.4.1 Dummy Loaded Isolated Racks
118
11.5 Test Series
119
11.5.1 Shock Severity: Acceleration and Pseudo Velocity (PV)
120
11.5.2 Analysis of Measured Data
121
11.6 Survey of Barge Test Shock Results: Acceleration—Time, SRS, Fourier Analysis
121
11.6.1 8 Hz Deck Measurements
121
11.6.2 Correlation of the Fourier Spectrum and SRS
123
11.6.3 14 Hz Deck Measurements
126
11.6.4 Barge Test of a Fully Populated Rack
129
11.7 Summary and Conclusions
130
References
131
Chapter 12 Nonlinear High Fidelity Modeling of Impact Load Response in a Rod
132
12.1 Introduction
132
12.2 Modeling
133
12.2.1 Nonlinear Rod Model
133
12.2.2 Alternating Wavelet-Time Finite Element Method
134
12.3 Experiments and Numerical Simulations
134
12.3.1 Experimental Setup
134
12.3.2 Numerical Simulations
136
12.4 Concluding Remarks
137
References
137
Chapter 13 On the Role of Boundary Conditions in the Nonlinear Dynamic Response of Simple Structures
138
13.1 Introduction
138
13.2 Modeling
139
13.2.1 Rod Model
139
13.2.2 Beam Model
140
13.2.3 Alternating Wavelet-Time Finite Element Method
141
13.3 Numerical Simulations
141
13.3.1 Rod
141
13.3.2 Beam
142
13.4 Concluding Remarks
145
References
146
Chapter 14 Evaluation of On-Line Algebraic Modal Parameter Identification Methods
147
14.1 Introduction
147
14.2 Vibrating Mechanical System
148
14.3 On-Line Algebraic Parameter Identification of Modal Parameters
149
14.4 An Illustrative Case: Simulation and Experimental Results
152
14.5 Conclusions
154
References
154
Chapter 15 Ambient Vibration Test of Granville Street Bridge Before Bearing Replacement
155
15.1 Introduction
155
15.2 Description of the Bridge
156
15.3 Description of the Ambient Vibration Test
157
15.4 Data Analysis
157
15.5 Analysis Results
158
15.6 Conclusion
159
Reference
161
Chapter 16 Vibration Testing and Analysis of A Monumental Stair
162
16.1 Introduction
162
16.2 Description of the Staircase
164
16.3 Description of the Dynamic Tests
164
16.4 Analytical Modeling of the Staircase
165
16.5 Comparison of the Estimated Analytical and Measured Dynamic Properties
165
16.6 Comparison of the Measured and Analytical Mode Shapes
166
16.7 Comparison of the Analytical and Measured Responses
168
16.8 Evaluating the Stair Vibrations
169
16.9 Conclusions
169
References
169
Chapter 17 Evaluation of Stop Bands in Periodic and Semi-Periodic Structures by Experimental and Numerical Approaches
171
17.1 Introduction
171
17.2 Stop-Bands in Periodic One-Dimensional Waveguides
172
17.2.1 Periodic One-Dimensional Waveguides
172
17.2.2 Semi-Periodic One-Dimensional Waveguide
173
17.3 Numerical Examples and Experimental Results
174
17.4 Conclusions
177
References
178
Chapter 18 Operating Mode Shapes of Electronic Assemblies Under Shock Input
179
18.1 Introduction
179
18.2 Test Setup
180
18.3 Finite Element Simulation
180
18.3.1 Experimental Validation of Model
183
18.4 Summary
184
References
184
Chapter 19 Comparison of Modal Parameters Extracted Using MIMO, SIMO, and Impact Hammer Tests on a Three-Bladed Wind Turbine
185
19.1 Introduction
185
19.2 Theoretical Background
186
19.2.1 Shaker Test with the Input Oblique to the Global Coordinate System
186
19.3 Structure Description and Test Setup
187
19.4 Test Cases Studied
189
19.4.1 Case 1: Impact Hammer Modal Test on the Fixture
189
19.4.2 Case 2: MIMO Test on the Wind Turbine Assembly
190
19.4.3 Case 3: SIMO Test on the Wind Turbine Assembly
191
19.4.4 Case 4: Modal Impact Hammer Test on the Wind Turbine Assembly
192
19.5 Discussion
192
19.5.1 Discussion 1: MIMO–SIMO Comparison
192
19.5.2 Discussion 2: Location of the Shakers
194
19.5.3 Discussion 3: Comparing the Modal Parameters Extracted using SIMO, MIMO, and Impact Tests
194
19.6 Observation
195
19.7 Conclusion
196
References
197
Chapter 20 Modal Test Results of a Ship Under Operational Conditions
198
20.1 Introduction
198
20.2 Experimental Setup
199
20.2.1 The Vessel
199
20.2.2 Measurement Equipment and Setup
200
20.2.3 Measurement Conditions
201
20.3 Results/Experimental Modal Analysis (Output-Only)
201
20.3.1 Cruising Condition
202
20.3.2 Anchor Condition
204
20.4 Conclusions and Future Work
205
References
205
Chapter 21 Measuring Effective Mass of a Circuit Board
206
21.1 Motivation and Application
207
21.2 Effective Mass Concept and History
207
21.3 Effective Mass Measurement Approach
208
21.4 Abbreviated Effective Mass Measurement Theory
209
21.5 Modal Test of Fixture with Truth Plate
209
21.6 Finite Element Model Truth Calculations
210
21.7 Experimental Effective Mass Extractions
212
21.8 Test Anomaly
212
21.9 Effective Mass of Circuit Board
214
21.10 Conclusions
214
References
216
Chapter 22 Acoustic Cavity Modal Analysis for NVH Development of Road Machinery Cabins
217
22.1 Introduction
217
22.2 Analytical Acoustic Description of a Cavity
218
22.3 FEA Calculation
219
22.4 Physical Acoustic Cavity Characterization
219
22.5 Results and Discussion
220
22.5.1 Feasibility of Rigid-Walled Assumption in Predicting Acoustic Cavity Modal Characteristics of the Cab In-Situ
220
22.5.2 Impact of the Seat and Steering Column on Experimental Acoustic Modal Parameters
221
22.5.3 Local Vibro-Acoustic Behavior and Its Relation to the Low Frequency Booming Event
224
22.6 Conclusion
228
References
229
Chapter 23 Strain-Based Dynamic Measurements and Modal Testing
230
23.1 Introduction
230
23.2 Theoretical Background
231
23.3 Experimental Analysis
232
23.3.1 Wind Turbine Blade
232
23.3.2 Composite T-Beam
234
23.3.3 Helicopter Main Rotor Blade
236
23.4 Results Analysis and Conclusion
237
References
238
Chapter 24 AIRBUS A350 XWB GVT: State-of-the-Art Techniques to Perform a Faster and Better GVT Campaign
240
24.1 Introduction
240
24.2 Airbus A350-XWB-900 Description
241
24.3 GVT General Specifications
242
24.4 GVT Equipments
242
24.5 GVT Teams
244
24.6 GVT Methods Applied
244
24.6.1 Data Work Flow
245
24.6.2 Modal Identification
245
24.7 ONERA DLR Specific Tools
246
24.7.1 Force Notching
246
24.7.2 SVDP: Single Virtual Driving Point
246
24.7.3 Modal Model Assembly
247
24.7.4 PRM Environment
248
24.8 Results
248
24.9 Conclusions
250
References
253
Chapter 25 Bayesian System Identification of MDOF Nonlinear Systems Using Highly Informative Training Data
254
25.1 Introduction
254
25.2 Bayesian Framework
255
25.3 Informative Training Data
256
25.4 Potential Issues
257
25.4.1 Most Probable Parameter Estimates
257
25.5 Nonlinear System
257
25.6 Results
258
25.7 Conclusions
260
References
262
Chapter 26 Finite Element Model Updating Using the Separable Shadow Hybrid Monte Carlo Technique
263
26.1 Introduction
263
26.2 Finite Element Model Background
264
26.3 Bayesian Inferences
264
26.4 The Hybrid Monte Carlo Method
266
26.5 The Separable Shadow Hamiltonian Function
267
26.6 The Modelled Structure and FE Model
268
26.7 Conclusion
269
References
271
Chapter 27 Bayesian System Identification of Dynamical Systems Using Reversible Jump Markov Chain Monte Carlo
272
27.1 Introduction
272
27.2 Bayesian Inference
273
27.3 MCMC Sampling Methods
274
27.4 RJMCMC
274
27.4.1 Detailed Balance and MH Sampler
276
27.4.2 Detailed Balance and RJMCMC
277
27.5 Conclusions
278
References
279
Chapter 28 Assessment and Validation of Nonlinear Identification Techniques Using Simulated Numerical and Real Measured Data
280
28.1 Introduction
280
28.2 A Review of the Selected Methods
281
28.2.1 Reverse Path Method (RP)
281
28.2.2 Frequency-domain Nonlinear Subspace Identification Method (FNSI)
283
28.3 Simulated Numerical Results
283
28.4 Real Measured Data Results
287
28.5 Conclusions and Future Work
290
References
293
Chapter 29 Effects of Errors in Finite Element Models on Component Modal Tests
294
29.1 Introduction
295
29.2 Development and Procedure of Dynamic Characteristics Prediction of Structures
296
29.2.1 Indication to Predict Target Frequency and Mode of Structures
296
29.2.2 Modeling Error Reduction
297
29.2.3 Target Frequency Error Estimation
299
29.3 Numerical Examples
300
29.3.1 Frequencies
301
29.3.2 System Identification of Tested Components
302
29.3.3 Dynamic Characteristics After Reducing Modeling Errors
304
29.3.4 Effect of Different Modeling Errors on Identified Results
306
29.4 Conclusions
306
References
306
Chapter 30 Estimating Frequency-Dependent Mechanical Properties of Materials
308
30.1 Introduction
309
30.2 Theory
309
30.2.1 Complex (Frequency-Domain) Material Properties
309
30.2.2 One-Dimensional Wave Propagation in a Bar
310
30.2.3 Semi-Infinite Two-Bar System
311
30.3 Experiment
313
30.4 Analysis
314
30.4.1 Estimation of Parameterized Frequency Distribution
315
30.5 Future Work
316
30.6 Summary
318
References
318
Chapter 31 Flexible Dynamic Modeling of Turret Systems by Means of Craig-Bampton Method and Experimental Validation
319
31.1 Introduction
319
31.2 Theory
321
31.3 Turret Case Study
322
31.3.1 Prototype Modal and Torque Frequency Sweep Tests
322
31.3.1.1 Barrel, Elevation and Azimuth Chassis Modal Tests
323
31.3.1.2 Torque Frequency Sweep Test
324
31.3.2 Two-Mass System Model
324
31.3.3 Flexible Dynamic Analysis
326
31.3.3.1 Model Preparation
326
31.3.3.2 Machine Elements Flexibilities
327
31.3.3.3 Simulation Results
328
31.4 Conclusion
330
References
332
Chapter 32 Material Characterization of Gyroscope Isolator Using Modal Test Data
333
32.1 Introduction
333
32.2 Methodology
334
32.3 Gyroscope A
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32.3.1 Preliminary Modal Tests
334
32.3.2 FEM Model
335
32.3.3 Updated Modal Tests
336
32.4 Updated FEM and Material Properties
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32.5 Gyroscope B
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32.5.1 Modal Tests
340
32.5.2 FEM Model with Preset Material Properties
340
32.5.3 Sweep Tests and FRFS
340
32.6 Conclusion
342
References
344
Chapter 33 Loss Factors Estimation Using FEM in Statistical Energy Analysis
345
33.1 Introduction
345
33.2 Theory
346
33.3 SEA Models
347
33.3.1 Test Object
347
33.3.2 The SEA Subsystems
347
33.3.3 Estimation Method of SEA Parameter
348
33.4 Excitation of the Two Subsystems Connected Using Bolts
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33.5 The Construction of the Finite Element Model
349
33.5.1 Test Equipment
350
33.5.2 FE Model of Panel and Base
351
33.5.3 The FE Model of the Coupled Subsystems
352
33.6 Conclusions
353
References
353
Chapter 34 Investigation of Crossing and Veering Phenomena in an Isogeometric Analysis Framework
354
34.1 Introduction
354
34.2 The Experimental Test-Rig
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34.3 Nurbs-Based IGA and Test-Rig Model
357
34.4 Nitsche's Method for Domain Coupling
359
34.5 Parametric Modal Analysis and Results
361
34.6 Updating with Inverse Eigensensitivity Approach
365
34.7 Conclusions
368
References
368
Chapter 35 Influence of Fan Balancing in Vibration Reduction of a Braking Resistor
370
35.1 Introduction
370
35.2 Tested Braking Resistors
371
35.3 Modal Analysis of the Braking Resistor
371
35.4 Experimental Tests and Set-Up
372
35.5 Mechanical Impedance of the Supporting Structure
373
35.6 Assessment of the Constraint Forces at the Mounting Points of the Braking Resistor
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35.7 Concluding Remarks
377
References
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Chapter 36 Vibrations of Discretely Layered Structures Using a Continuous Variation Model
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36.1 Introduction
379
36.2 Basic Problem
379
36.3 Transfer Matrix Approach
379
36.3.1 Frequencies
380
36.3.2 Mode Shapes
381
36.3.3 Numerical Example
382
36.4 Continuous Variation Model
382
36.4.1 Finite Difference Approach
383
36.4.2 Forced Motion Approach
384
36.5 Comparisons
386
36.6 Conclusions
389
References
389
Chapter 37 Next-Generation Random Vibration Tests
390
37.1 Introduction
390
37.2 Objectives
391
37.3 Case Study: Underwing Missile
391
37.4 The Flight Trial
392
37.5 The Twin-Shaker Single-Axis Vibration Test
393
37.6 Impedance Matched Multi-Axis Test (IMMAT)
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37.7 Discussion and Conclusions
396
A.1 Appendix 1: Twin-Shaker Vibration Test Results
390
A.2 Appendix 2: IMMAT Results
391
References
403
Chapter 38 Optimal Phasing Combinations for Multiple Input Source Excitation
404
38.1 Introduction
404
38.2 Number of Sources Equal to Number of Phase Cases
405
38.3 Number of Sources Less than Number of Phase Cases
406
38.4 Phase Variation
407
38.5 Examples
407
38.5.1 Pseudo Random
407
38.5.2 Burst Chirp (Fast Sweep)
408
38.6 Summary
408
References
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