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Rimple Sandhu
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Cited by
Year
Bayesian model selection for nonlinear aeroelastic systems using wind-tunnel data
R Sandhu, M Khalil, A Sarkar, D Poirel
Computer Methods in Applied Mechanics and Engineering 282, 161-183, 2014
322014
Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems
P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Nonlinear Dynamics 82, 1061-1080, 2015
302015
Bayesian model selection using automatic relevance determination for nonlinear dynamical systems
R Sandhu, C Pettit, M Khalil, D Poirel, A Sarkar
Computer Methods in Applied Mechanics and Engineering 320, 237-260, 2017
272017
Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations
R Sandhu, D Poirel, C Pettit, M Khalil, A Sarkar
Journal of Computational Physics 316, 534-557, 2016
222016
Fully coupled aeroelastic analyses of wing flutter towards application to complex aircraft configurations
W Yuan, R Sandhu, D Poirel
Journal of Aerospace Engineering 34 (2), 04020117, 2021
132021
Nonlinear sparse Bayesian learning for physics-based models
R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Journal of Computational Physics 426, 109728, 2021
112021
Bayesian model selection and parameter estimation for a nonlinear fluid-structure interaction problem
R Sandhu
Carleton University, 2012
72012
Stochastic agent-based model for predicting turbine-scale raptor movements during updraft-subsidized directional flights
R Sandhu, C Tripp, E Quon, R Thedin, M Lawson, D Brandes, CJ Farmer, ...
Ecological Modelling 466, 109876, 2022
62022
Combined selection of the dynamic model and modeling error in nonlinear aeroelastic systems using Bayesian Inference
P Bisaillon, R Sandhu, C Pettit, M Khalil, D Poirel, CS Manohar, A Sarkar
Journal of Sound and Vibration 522, 116418, 2022
62022
Model comparison and sparse learning of nonlinear physics-based models using Bayesian inference
R Sandhu
Carleton University, 2020
62020
Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19: a study protocol
B Robinson, JD Edwards, T Kendzerska, CL Pettit, D Poirel, JM Daly, ...
BMJ open 12 (3), e052681, 2022
52022
Model selection methods for nonlinear aeroelastic systems using wind-tunnel data
R Sandhu, M Khalil, D Poirel, A Sarkar
15th AIAA Non-Deterministic Approaches Conference, Boston, USA, 2013
52013
Methodology development for coupled aeroelastic analysis of wing flutter
W Yuan, R Sandhu, O Dias de Matos Jr, DC Poirel
54th AIAA Aerospace Sciences Meeting, 1550, 2016
42016
Model selection for strongly nonlinear systems
P Bisaillon, R Sandhu, M Khalil, D Poirel, A Sarkar
15th AIAA Non-Deterministic Approaches Conference, Boston, USA, 2013
42013
Virtual engineering (ve)(vebio)
E Young, J Stickel, H Sitaraman, A Glaws, J Lischeske
National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2022
3*2022
Global sensitivity analysis of transonic flutter using a coupled CFD-CSD solver
R Sandhu, W Yuan, D Poirel
Proc., 31st Congress of the International Council of the Aeronautical …, 2018
22018
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning
R Sandhu, B Robinson, M Khalil, CL Pettit, D Poirel, A Sarkar
Journal of Sound and Vibration 569, 117816, 2024
12024
Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations
N Dabiran, B Robinson, R Sandhu, M Khalil, CL Pettit, D Poirel, A Sarkar
arXiv preprint arXiv:2310.14749, 2023
12023
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning
R Sandhu, B Robinson, M Khalil, CL Pettit, D Poirel, A Sarkar
arXiv preprint arXiv:2210.11476, 2022
12022
Ssrs (stochastic soaring raptor simulator)
R Sandhu, C Tripp, E Quon, R Thedin, L Williams, P Doubrawa, C Draxl, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021
12021
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