- Professor of Mechanical Engineering
- Department of Mechanical, Industrial and Systems Engineering
- Phone: +1.401.874.2356
- Email: chelidze@uri.edu
- Office Location: 219 Fascitelli Center
- Website
- Google Scholar
- ResearchGate
- Accepting Students: Ph.D., Master's
Biography
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Dr. David Chelidze received his Ph.D. in Engineering Science and Mechanics from Penn State University in 2000. His main research expertise is in analytical and experimental nonlinear dynamics and data-based health monitoring of engineered and natural systems. His current research (sponsored by NSF, NIH, US Army, ONR, and AFRL) focuses on nonlinear dynamics and vibrations of structures, reduced-order modeling, structural damage identification and prediction, and identifying and predicting fatigue. He is a recipient of the NSF CAREER award, and Edmund and Dorothy Marshall Award for Faculty Excellence in Research.
Research
Analytical and experimental nonlinear vibrations and dynamics; vibration-based structural health monitoring; dynamical systems perspective on fatigue evolution; modal testing and analysis; dynamics, control and stability of engineered systems. The main research goal is to synthesize knowledge from fields such as dynamical and stochastic systems, linear and nonlinear time series analysis, multivariate analysis, and estimation and filtering theory to develop and implement innovative techniques for modeling, simulation, control, diagnosis, and prognosis of engineered and biological systems.
Education
- Ph.D. – Engineering Science & Mechanics, Pennsylvania State University, University Park, Pennsylvania, 2000
- M.S. – Mechanical Engineering, Southern Illinois University at Carbondale, Carbondale, Illinois, 1995
- Diploma – Mechanical Engineering, Georgian Technical University, Tbilisi, Georgia, 1992
Selected Publications
[1] Smooth mode decomposition: Theory and its applications in full-field output-only modal analysis
He-Wen-Xuan Li, Piyush Wanchoo, Arun Shukla, David Chelidze
Mechanical Systems and Signal Processing 200 (2023), p. 110541 DOI: https://doi.org/10.1016/j.ymssp.2023.110541
[2] Geometry-informed phase space warping for reliable fatigue damage monitoring
He-Wen-Xuan Li, David Chelidze
Structural Health Monitoring (2023), p. 14759217231174894 DOI: https://doi.org/10.1177/14759217231174894
[3] Subband Decomposition Based Output-Only Modal Analysis
D.L. Stein, H.-W.-X. Li, D. Chelidze
Journal of Vibration and Acoustics, Transactions of the ASME 145.1 (Feb. 2023), 011005 (12 pages) DOI: https://doi.org/10.1115/1.4055135
[4] Experimental monitoring and modeling of fatigue damage for 3D-printed polymeric beams under irregular loading
H.-W.-X. Li, G. Lyngdoh, S. Doner, R. Yuan, D. Chelidze
International Journal of Mechanical Sciences 233 (Nov. 2022), p. 107626 DOI: https://doi.org/10.1016/j.ijmecsci.2022.107626
[5] Fatigue life estimation of structures under statistically and spectrally similar variable amplitude loading
He-Wen-Xuan Li, David Chelidze
Mechanical Systems and Signal Processing 161 (Dec. 2021), p. 107856 DOI: https://doi.org/10.1016/j.ymssp.2021.107856
[6] Towards a Unified Interpretation of the ‘Proper’/‘Smooth’ Orthogonal Decompositions and ‘State Variable’/‘Dynamic Mode’ Decompositions
Arham Khan, Joseph Kuehl, David Chelidze
AIP Advances 10 (Mar. 2020), p. 035225 DOI: https://doi.org/10.1063/1.5144429
[7] Empirical Mode Analysis Identifying Hysteresis in Vortex-Induced Vibrations of a Bending-Dominated Flexible Cylinder
E. D. Gedikli, D. Chelidze, J. Dahl
International Journal of Offshore and Polar Engineering 30.2 (June 2020), pp. 186–193 DOI: https://doi.org/10.17736/ijope.2020.mt27
[8] A novel method for bone fatigue monitoring and prediction
Michelle L. Cler, Joseph J. Kuehl, Carolyn Skurla, David Chelidze
Bone Reports 11 (Dec. 2019), p. 100221 DOI: https://doi.org/10.1016/j.bonr.2019.100221
[9] A new approach to model reduction of nonlinear control systems using smooth orthogonal decomposition
Shahab Ilbeigi, David Chelidze
International Journal of Robust and Nonlinear Control 28.15 (Oct. 2018), pp. 4367–4381 DOI: https://doi.org/10.1002/rnc.4238
[10] Observed mode shape effects on the vortex-induced vibration of bending dominated flexible cylinders simply supported at both ends
Ersegun D. Gedikli, David Chelidze, Jason M. Dahl
Journal of Fluids and Structures 81 (Aug. 2018), pp. 399–417 DOI: https://doi.org/10.1016/j.jfluidstructs.2018.05.010
[11] Persistent Model Order Reduction for Complex Dynamical Systems Using Smooth Orthogonal Decomposition
Shahab Ilbeigi, David Chelidze
Mechanical Systems and Signal Processing 96 (Nov. 2017), pp. 125–138 DOI: https://doi.org/10.1016/j.ymssp.2017.04.005
[12] Reliable Estimation of Minimum Embedding Dimension Through Statistical Analysis of Nearest Neighbors
David Chelidze
Journal of Computational and Nonlinear Dynamics 12.5 (July 2017), pp. 051024–12 DOI: https://doi.org/10.1115/1.4036814
[13] Multivariate Analysis Of Vortex-Induced Vibrations In a Tensioned Cylinder Reveal Nonlinear Modal Interactions
Ersegun D. Gedikli, Jason M. Dahl, David Chelidze
Procedia Engineering 199 (2017), pp. 546–551 DOI: https://doi.org/10.1016/j.proeng.2017.09.159
[14] Dynamic model for fatigue evolution in a cracked beam subjected to irregular loading
Son Hai Nguyen, David Chelidze
Journal of Vibration and Acoustics 139.1 (Nov. 2016), pp. 014502–6 DOI: https://doi.org/10.1115/1.4035112
[15] New invariant measures to track slow parameter drifts in fast dynamical systems
Son Hai Nguyen, David Chelidze
Nonlinear Dynamics 79.2 (Jan. 2015), pp. 1207–1216, Springer Netherlands DOI: https://doi.org/10.1007/s11071-014-1737-y
[16] Robust and Dynamically Consistent Model Order Reduction for Nonlinear Dynamic Systems
David B. Segala, David Chelidze
Journal of Dynamic Systems, Measurement, and Control 137.2 (Sept. 2014), pp. 021011–8 DOI: https://doi.org/10.1115/1.4028470
[17] Nonlinear System Identification and Modeling of a New Fatigue Testing Rig Based on Inertial Forces
Michael Falco, Ming Liu, Son Hai Nguyen, David Chelidze
Journal of Vibration and Acoustics 136.4 (Aug. 2014), pp. 041001–8 DOI: https://doi.org/10.1115/1.4027317
[18] Smooth local subspace projection for nonlinear noise reduction
David Chelidze
Chaos: An Interdisciplinary Journal of Nonlinear Science 24.1, 013121 (Feb. 2014), pp. 013121–10 DOI: https://doi.org/10.1063/1.4865754
[19] Different Fatigue Dynamics Under Statistically and Spectrally Similar Deterministic and Stochastic Excitations
Son Hai Nguyen, Mike Falco, Ming Liu, David Chelidze
Journal of Applied Mechanics 81.4 (Sept. 2013), pp. 041004–8 DOI: https://doi.org/10.1115/1.4025138
[20] Nonlinear Smooth Orthogonal Decomposition of Kinematic Features of Sawing Reconstructs Muscle Fatigue Evolution as Indicated by Electromyography
David B. Segala, Deanna H. Gates, Jonathan B. Dingwell, David Chelidze
Journal of Biomechanical Engineering 133.3 (Feb. 2011), pp. 031009–8 DOI: https://doi.org/10.1115/1.4003320
[21] Identifying invariant manifold using phase space warping and stochastic interrogation
Joe Kuehl, David Chelidze
International Journal of Non-Linear Mechanics 45.1 (Jan. 2010), pp. 42–55, Elsevier DOI: https://doi.org/10.1016/j.ijnonlinmec.2009.09.001
[22] Nonlinear analysis of gait kinematics to track changes in oxygen consumption in prolonged load carriage walking: a pilot study
Jeffrey M Schiffman, David Chelidze, Albert Adams, David B Segala, Leif Hasselquist
Journal of Biomechanics 42.13 (Sept. 2009), pp. 2196–9, Elsevier DOI: https://doi.org/10.1016/j.jbiomech.2009.06.011
[23] Slow-Time Changes in Human EMG Muscle Fatigue States Are Fully Represented in Movement Kinematics
Miao Song, David B Segala, Jonathan B Dingwell, David Chelidze
Journal of Biomechanical Engineering 131.2 (Dec. 2008), pp. 021004–11 DOI: https://doi.org/10.1115/1.3005177
[24] A new type of atomic force microscope based on chaotic motions
Ming Liu, David Chelidze
International Journal of Non-Linear Mechanics 43.6 (July 2008), pp. 521–526, Elsevier DOI: https://doi.org/10.1016/j.ijnonlinmec.2008.03.001
[25] Reconstructing slow-time dynamics from fast-time measurements
David Chelidze, Ming Liu
Philosophical Transactions. Series A, Mathematical, Physical, & Engineering Sciences 366.1866 (Mar. 2008), pp. 729–45 DOI: https://doi.org/10.1098/rsta.2007.2124
[26] Generalized eigenvalue decomposition in time domain modal parameter identification
Wenliang Zhou, David Chelidze
Journal of Vibration and Acoustics 130.1 (Nov. 2007), pp. 011001–6 DOI: https://doi.org/10.1115/1.2775509
[27] Blind source separation based vibration mode identification
Wenliang Zhou, David Chelidze
Mechanical Systems and Signal Processing 21.8 (Nov. 2007), pp. 3072–3087, Elsevier DOI: https://doi.org/101016/jymssp200705007
[28] A nonlinear approach to tracking slow-time-scale changes in movement kinematics.
Jonathan B Dingwell, Domenic F Napolitano, David Chelidze
Journal of Biomechanics 40.7 (Jan. 2007), pp. 1629–1634 DOI: https://doi.org/10.1016/j.jbiomech.2006.06.019
[29] Identifying damage using local flow variation method
Ming Liu, David Chelidze
Smart Materials and Structures 15.6 (Nov. 2006), pp. 1830–1836 DOI: https://doi.org/10.1088/0964-1726/15/6/037
[30] Multidimensional Damage Identification Based on Phase Space Warping: An Experimental Study
David Chelidze, Ming Liu
Nonlinear Dynamics 46.1–2 (Oct. 2006), pp. 61–72 DOI: https://doi.org/10.1007/s11071-005-9007-7
[31] Phase space warping: nonlinear time-series analysis for slowly drifting systems
David Chelidze, Joseph P. Cusumano
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences 364.1846 (Sept. 2006), pp. 24952513 DOI: https://doi.org/10.1098/rsta.2006.1837
[32] Smooth orthogonal decomposition-based vibration mode identification
David Chelidze, Wenliang Zhou
Journal of Sound and Vibration 292.3–5 (May 2006), pp. 461–473 DOI: https://doi.org/10.1016/j.jsv.2005.08.006
[33] Dynamical systems approach to fatigue damage identification
David Chelidze, Ming Liu
Journal of Sound and Vibration 281.3–5 (Mar. 2005), pp. 887–904 DOI: https://doi.org/10.1016/j.jsv.2004.02.017
[34] Identifying Multidimensional Damage in a Hierarchical Dynamical System
David Chelidze
Nonlinear Dynamics 37.4 (Sept. 2004), pp. 307–322 DOI: https://doi.org/10.1023/B:NODY.0000045546.02766.ad
[35] A Dynamical Systems Approach to Failure Prognosis
David Chelidze, Joseph P. Cusumano
Journal of Vibration and Acoustics 126.1 (Feb. 2004), pp. 2–8 DOI: https://doi.org/10.1115/1.1640638
[36] A Dynamical Systems Approach to Damage Evolution Tracking, Part 2: Model-Based Validation and Physical Interpretation
Joseph P. Cusumano, David Chelidze, Anindya Chatterjee
Journal of Vibration and Acoustics 124.2 (Mar. 2002), pp. 258–264 DOI: https://doi.org/10.1115/1.1456907
[37] A Dynamical Systems Approach to Damage Evolution Tracking, Part 1: Description and Experimental Application
David Chelidze, Joseph P. Cusumano, Anindya Chatterjee
Journal of Vibration and Acoustics 124.2 (Mar. 2002), pp. 250–257 DOI: https://doi.org/10.1115/1.1456908
[38] Optimal Tracking of Parameter Drift in a Chaotic System: Experiment and Theory
Anindya Chatterjee, Joseph P. Cusumano, David Chelidze
Journal of Sound and Vibration 250.5 (Mar. 2002), pp. 877–901 DOI: https://doi.org/10.1006/jsvi.2001.3963
