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A Non-Contact Technique for Vibration Measurement of Automotive Structures
Technical Paper
2019-01-1503
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The automotive and aerospace industries are increasingly using the light-weight material to improve the vehicle performance. However, using light-weight material can increase the airborne and structure-borne noise. A special attention needs to be paid in designing the structures and measuring their dynamics. Conventionally, the structure is excited using an impulse hammer or a mechanical shaker and the response is measured using uniaxial or multi-axial accelerometers to obtain the dynamics of the structure. However, using contact-based transducers can mass load the structure and provide data at a few discrete points. Hence, obtaining the true dynamics of the structure conventionally can be challenging. In the past few years, stereo-photogrammetry and three-dimensional digital image correlation have received special attention in collecting operating data for structural analysis. These non-contact optical techniques provide a wealth of distributed data over the entire structure. However, the stereo camera system is limited by its field of view of the cameras and can only measure the response on the parts of the structure that cameras have the line of sight. Therefore, a single pair of Digital Image Correlation (DIC) cameras may not be able to provide deformation data for the entire structure. In current work, a multi-view 3D DIC approach is used to predict the vibrational characteristics of a full vehicle. A pair of DIC cameras is roved over the entire vehicle to capture the deformation data of each field of view. The measured data includes the geometry and displacement data which is mapped into the global coordinate system using 3D transformation matrices. The obtained data in the time domain for each field of view is transformed to the frequency domain using the Fast Fourier Transformation (FFT) to extract the operational deflection shapes and resonant frequencies for each field of view. The obtained deflection shapes are scaled and stitched in the frequency domain to extract the operating deflection shapes of full vehicle.
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Srivastava, V. and Baqersad, J., "A Non-Contact Technique for Vibration Measurement of Automotive Structures," SAE Technical Paper 2019-01-1503, 2019, https://doi.org/10.4271/2019-01-1503.Also In
References
- Kim , K. and Choi , I. Design Optimization Analysis of Body Attachment for NVH Performance Improvements SAE Technical Paper 2003-01-1604 2003 10.4271/2003-01-1604
- Baqersad , J. , Poozesh , P. , Niezrecki , C. , and Avitabile , P. Photogrammetry and Optical Methods in Structural Dynamics - A Review Mechanical Systems and Signal Processing 2018 10.1016/j.ymssp.2016.02.011
- Sarrafi , A. , Poozesh , P. , and Mao , Z. A Comparison of Computer-Vision-Based Structural Dynamics Characterizations Barthorpe R. , Platz R. , Lopez I. , Moaveni B. , and Papadimitriou C. Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017 Cham Springer International Publishing 2017 295 301 10.1007/978-3-319-54858-6_29
- Niezrecki , C. , Baqersad , J. , and Sabato , A. Digital Image Correlation Techniques for NDE and SHM Handbook of Advanced Non-Destructive Evaluation 2018 1 46 10.1007/978-3-319-30050-4_47-1
- Lundstrom , T. , Baqersad , J. , and Niezrecki , C. Monitoring the Dynamics of a Helicopter Main Rotor with High-Speed Stereophotogrammetry Experimental Techniques 2015 10.1111/ext.12127
- Schneider , O. and Van Der Wall , B.G. Final Analysis of HART II Blade Deflection Measurement 29 th European Rotorcraft Forum 2003
- Schneider , O. Analysis of SPR Measurements from HART II Aerospace Science and Technology 9 409 420 2005 10.1016/j.ast.2005.01.013
- Ozbek , M. , Rixen , D.J. , Erne , O. , and Sanow , G. Feasibility of Monitoring Large Wind Turbines Using Photogrammetry Energy 35 4802 4811 2010 10.1016/j.energy.2010.09.008
- Kalpoe , D. , Khoshelham , K. , and Gorte , B. 10.1117/12.889440
- Warren , C. , Niezrecki , C. , and Avitabile , P. Determination of Wind Turbine Operating Deflection Shapes Using Full-Field 3D Point-Tracking 29th IMAC, a Conference on Structural Dynamics, 2011 January 31, 2011-February 3 2011 Springer New York, Jacksonville, FL 2011 217 226
- Baqersad , J. , Niezrecki , C. , and Avitabile , P. Full-Field Dynamic Strain Prediction on a Wind Turbine Using Displacements of Optical Targets Measured by Stereophotogrammetry Mechanical Systems and Signal Processing 62 284 295 2015 10.1016/j.ymssp.2015.03.021
- Baqersad , J. , Niezrecki , C. , and Avitabile , P. Extracting Full-Field Dynamic Strain on a Wind Turbine Rotor Subjected to Arbitrary Excitations Using 3D Point Tracking and a Modal Expansion Technique Journal of Sound and Vibration 352 16 29 2015 10.1016/j.jsv.2015.04.026
- Mange , A. , Srivastava , V. , More , J. , and Baqersad , J. Using Digital Image Correlation to Measure Dynamics of Rolling Tires SAE Technical Paper 2018-01-1217 2018 10.4271/2018-01-1217
- Patil , K. , Srivastava , V. , and Baqersad , J. A Multi-View Optical Technique to Obtain Mode Shapes of Structures Measurement 122 358 367 2018 10.1016/j.measurement.2018.02.059
- Srivastava , V. and Baqersad , J. An Optical-Based Technique to Obtain Operating Deflection Shapes of Structures with Complex Geometries Mechanical Systems and Signal Processing 128 69 81 2019
- Bharadwaj , K. , Sheidaei , A. , Afshar , A. , and Baqersad , J. Strain Expansion Using Mode Shapes Obtained with Digital Image Correlation Measurement 2019
- Nonis , C. , Niezrecki , C. , Yu , T.-Y. , Ahmed , S. et al. Structural Health Monitoring of Bridges Using Digital Image Correlation Proc. SPIE 869507 2013
- Busca , G. , Cigada , A. , Mazzoleni , P. , and Zappa , E. Vibration Monitoring of Multiple Bridge Points by Means of a Unique Vision-Based Measuring System Exp Mech 54 255 271 2014 10.1007/s11340-013-9784-8
- Patil , K. , Baqersad , J. , Ludwigsen , D. , and Dong , Y. Extracting Vibration Characteristics of a Guitar Using Finite Element, Modal Analysis, and Digital Image Correlation Techniques Proceedings of Meetings on Acoustics 29 065003 2016 10.1121/2.0000465
- Panchal , R. , Horton , L. , Poozesh , P. , Baqersad , J. , and Nasiriavanaki , M. Vibration Analysis of Healthy Skin: Towards a Novel Non-Invasive Skin Diagnosis Methodology BIOMEDO 24 1 11 2019 10.1117/1.JBO.24.1.015001
- Mazzoleni , P. and Zappa , E. Vision-Based Estimation of Vertical Dynamic Loading Induced by Jumping and Bobbing Crowds on Civil Structures Mechanical Systems and Signal Processing 33 1 12 2012 10.1016/j.ymssp.2012.06.009
- Javh , J. , Slavič , J. , and Boltežar , M. Measuring Full-Field Displacement Spectral Components Using Photographs Taken with a DSLR Camera Via an Analogue Fourier Integral Mechanical Systems and Signal Processing 100 17 27 2018
- Javh , J. , Slavič , J. , and Boltežar , M. High Frequency Modal Identification on Noisy High-Speed Camera Data Mechanical Systems and Signal Processing 98 344 351 2018
- Poozesh , P. , Baqersad , J. , Niezrecki , C. , Avitabile , P. et al. Large-Area Photogrammetry Based Testing of Wind Turbine Blades Mechanical Systems and Signal Processing. 10.1016/j.ymssp.2016.07.021
- Li , J. , Xie , X. , Yang , G. , Zhang , B. et al. Whole-Field Thickness Strain Measurement Using Multiple Camera Digital Image Correlation System Optics and Lasers in Engineering 90 19 25 2017 10.1016/j.optlaseng.2016.09.012
- Patil , K. , Baqersad , J. , and Sheidaei , A. A Multi-View Digital Image Correlation for Extracting Mode Shapes of a Tire, Shock & Vibration Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics 9 Cham Springer 2017 211 217