Dynamic Environments Testing, Vol. 7

Front Cover	1
Conference Proceedings of the Society for Experimental Mechanics Series	2
Dynamic Environments Testing, Vol. 7	4
Preface	6
Contents	8
Comparison of Accelerometer Selection Algorithms for a Modal Filter Application	10
Introduction	10
An Improved Fatigue Damage Spectrum for MIMO Random Testing	18
Introduction	18
The novel proposal: Multi-Input Fatigue Damage Spectrum	19
Experimental Verification	20
Test set up and results	20
Discussion of the results	21
Conclusion	24
Characterization of Load Uncertainty on Simulated Dynamic Responses	26
Background	26
Modeling and Simulation Approach	27
Analysis: Reapplied Acceleration Measurements	28
Analysis: Excitation Force Reapplied	30
Conclusion	31
Toward Generalized MIMO Random Vibration Specifications	34
Introduction	34
Proposed Method For Generalized MIMO Specifications	36
Creating Generalized MIMO Specifications	36
Converting The Generalized MIMO Specifications To Testable PSDs	37
Simulation Demonstration	41
Discussion	43
Conclusions	43
A Method for Response Replication at Component-Level in MIMO Random Testing	46
Introduction	46
The proposed Minimum PSDs Method	47
Experimental Verification	47
Conclusions	52
Making Modal Analysis Easy and More Reliable –Challenging Ai-Based Algorithms with the Barc Example	54
Introduction	54
Identified Problems and Solution Approaches	55
Test design: Reference DOFs identification	55
Input data: Parameterization of parameter extraction	57
Validation of Added Value	58
Conclusion	61
An Undamped Dynamic Vibration Absorber on a Resonant Plate Shock Test	64
Introduction	64
Background	64
Testing and Analysis	65
Conclusion	68
Analysis of a Tuned Vibration Absorber for Resonant Plate Shock Testing	70
Introduction	70
Tuned Vibration Absorber Design and Model Setup	71
Simulation Results	72
Conclusions	74
A Methodology for Feature Selection and Electrical Capability Prediction of a Coupled Shaker-DUT Model	76
Introduction	76
Analytical Methods	77
Reduced-order modeling	77
Joint modeling for classification problem	77
Shaker model	78
Coupled system model	79
Bayesian classification methodology	80
Bayesian classification theory	80
Application of bayesian classification	80
Initial verification of bayesian classification for coupled system selection	81
Experimental Methods	82
Shaker setup	82
BARC setup	82
Analysis	83
Conclusion	85
Motivating Multivariate Specifications for Multiple-Input,Multiple-Output Vibration Testing	86
Introduction	86
Univariate Specifications	86
Simultaneous Prediction Intervals	87
Dimensionality of Multivariate Specifications	88
Coverage in a Multivariate Space	88
Numerical Demonstration	90
Synthesized Environments Data	90
Conclusion	90
Understanding Changes in Global Behavior Due to Control Location	92
Introduction	92
Testing	93
Field test	93
Environmental test	94
Analysis	95
Error metrics	95
Difference in response	96
Total ASD	97
X, Y, Z ASD	98
Individual channels	99
Conclusion	101
Estimating Component Level Environments Using Next Assembly Measurements	102
Introduction	102
Environment Estimation Methods	103
Conditions for Accurate Response Estimation	104
Results	105
Case 1: Small portion of next assembly, no DUT data	105
Case 2 – Full next assembly, no DUT data	108
Case 3 – Full next assembly with DUT data	110
The Benefit of Data on the DUT	111
Conclusions	113
Dynamic Analysis of a Modular Test Stand for Multi-AxisVibration Testing	116
Introduction	116
Test Stand Configurations	117
Modal Analysis	118
Transmissibility Analysis	119
MIMO Test Setup	121
MIMO Test Results	123
Control Comparison	124
Inverse FRF Comparison	126
Discussion and Conclusion	127
Appendix	128
Evaluating the Effect of Shaker Placement Optimization Priorities on Multi-Axis Test Results	130
Introduction	130
Environmental Specification	131
Finite Element Analysis and Experimental Modal Analysis	136
Shaker Placement Optimization	141
Environmental Testing	142
Analysis	143
Discussion	147
Conclusions	148
Appendix: Cross Powers from Field Data	149

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