C. Pettit

发表

Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems

Dominique Poirel, Chris L. Pettit, Abhijit Sarkar, 2015, Nonlinear Dynamics.

Comparisons between physics-based, engineering, and statistical learning models for outdoor sound propagation.

Carl R. Hart, Nathan J. Reznicek, Edward T Nykaza, 2015, The Journal of the Acoustical Society of America.

Range sampling strategies for statistical learning models in the context of long-range outdoor propagation

Carl R. Hart, C. Pettit, D. Wilson, 2016 .

Proceedings of Meetings on Acoustics

C. Pettit, D. Wilson, V. Ostashev, 2013 .

Description and quantification of uncertainty in outdoor sound propagation calculations.

Sergey N Vecherin, Vladimir E Ostashev, C. Pettit, 2014, The Journal of the Acoustical Society of America.

Full-field sensitivity analysis through dimension reduction and probabilistic surrogate models

C. Pettit, D. Wilson, 2010 .

Sampling-Based Sensitivity Analysis through Proper Orthogonal Decomposition and Cluster-Weighted Models

C. Pettit, D. Wilson, 2008 .

Computing the parameter sensitivities of outdoor sound propagation in a random environment

C. Pettit, K. Wilson, 2008 .

Characterization of uncertainty in outdoor sound propagation predictions.

C. Pettit, J. Weatherly, E. Patton, 2007, The Journal of the Acoustical Society of America.

Information-criterion based selection of models for community noise annoyance.

C. Pettit, E. Nykaza, D. Keith Wilson, 2013, The Journal of the Acoustical Society of America.

Polynomial Chaos Expansion with Latin Hypercube Sampling for Estimating Response Variability

R. Grandhi, R. Canfield, Seung-Kyum Choi, 2003 .

Effects of Parametric Uncertainty on Airfoil Limit Cycle Oscillation

Chris L. Pettit, Philip S. Beran, P. Beran, 2003 .

Wavelet-based cascade model for intermittent structure in terrestrial environments

C. Pettit, D. Wilson, S. Vecherin, 2013, 1312.5649.

Polynomial Chaos Expansion Applied to Airfoil Limit Cycle Oscillations

Wright-Patterson Afb, Chris L. Pettit, Philip S. Beran, 2004 .

A Direct Method for Quantifying Limit-Cycle Oscillation Response Characteristics in the Presence of Uncertainties

Wright-Patterson Afb, Chris L. Pettit, Philip S. Beran, 2004 .

Using random set theory to calculate reliability bounds for a wing structure

Ramana V. Grandhi, Fulvio Tonon, Chris L. Pettit, 2006 .

Effects of Uncertainty on Nonlinear Plate Aeroelastic Response

Chris L. Pettit, Philip S. Beran, Ned Lindsley, 2002 .

Report Title: Report Title

Carl R. Hart, C. Pettit, D. Wilson, 2018 .

Variational Inference of Cluster-Weighted Models for Sensitivity Analysis

C. Pettit, D. Wilson, 2011 .

Selecting Cluster-Weighted Models for Sensitivity Analysis

C. Pettit, D. Wilson, 2010 .

In-Situ Subspace Evaluation in Reduced Order Modelling

P. Beran, J. Slater, C. Pettit, 2001 .

Signal power distributions for simulated outdoor sound propagation in varying refractive conditions.

C. Pettit, D. Wilson, V. Ostashev, 2022, The Journal of the Acoustical Society of America.

Scalable domain decomposition solvers for stochastic PDEs in high performance computing

A. Sarkar, Mohammad Khalil, D. Poirel, 2017, Computer Methods in Applied Mechanics and Engineering.

Using Random Set Theory to Calculate Reliability Bounds in Situations of Little Information: An Application to a Finite Element Intermediate Complexity Wing Model

R. Grandhi, Ha-Rok Bae, C. Pettit, 2004 .

Nonlinear sparse Bayesian learning for physics-based models

Dominique Poirel, Chris L. Pettit, Abhijit Sarkar, 2020, J. Comput. Phys..

Variational inference of cluster-weighted models for local and global sensitivity analysis

C. Pettit, D. Wilson, 2015 .

Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners

A. Sarkar, M. Khalil, D. Poirel, 2022, ArXiv.

Approaches to stratified sampling and variance reduction in outdoor sound propagation calculations

Carl R. Hart, C. Pettit, D. Wilson, 2016 .

Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters

A. Sarkar, Mohammad Khalil, D. Poirel, 2022, ArXiv.

Reduced-order modeling for flutter prediction

Chris L. Pettit, Philip S. Beran, P. Beran, 2000 .

Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning

A. Sarkar, M. Khalil, D. Poirel, 2022, ArXiv.

Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method

A. Sarkar, M. Khalil, D. Poirel, 2022, ArXiv.

Experimentally Quantifying the Dynamic Response of Bolted Lap Joints

J. Slater, C. Pettit, Oleg Shiryayev, 2006 .

Parameter Identification and Investigation of a Bolted Joint Model

J. Slater, C. Pettit, Oleg Shiryayev, 2005 .

Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems

A. Sarkar, M. Khalil, D. Poirel, 2015, Nonlinear Dynamics.

Bayesian model selection using automatic relevance determination for nonlinear dynamical systems

Dominique Poirel, Chris L. Pettit, Mohammad Khalil, 2017 .

Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations

Dominique Poirel, Abhijit Sarkar, Rimple Sandhu, 2016, J. Comput. Phys..

Uncertainty in Aeroelasticity Analysis, Design, and Testing

Chris L. Pettit, C. Pettit, 2004 .

Uncertainty Quantification in Aeroelasticity: Recent Results and Research Challenges

Chris L. Pettit, C. Pettit, 2004 .

Influence of boundary conditions relaxation on panel flutter with compressive in-plane loads

Dumitru M. Beloiu, Chris L. Pettit, Raouf A. Ibrahim, 2005 .

A stochastic approach for modeling incident gust effects on flow quantities

Muhammad R. Hajj, Chris L. Pettit, Philip S. Beran, 2010 .

Influence of joint relaxation on deterministic and stochastic panel flutter

R. Ibrahim, C. Pettit, D. M. Beloiu, 2005 .

Aeroelastic oscillations of a pitching flexible wing with structural geometric nonlinearities: Theory and numerical simulation

A. Sarkar, Mohammad Khalil, D. Poirel, 2020 .

Uncertainties and dynamic problems of bolted joints and other fasteners

Chris L. Pettit, Raouf A. Ibrahim, R. Ibrahim, 2005 .

Reduced-order modelling of limit-cycle oscillation for aeroelastic systems

David J. Lucia, Chris L. Pettit, Philip S. Beran, 2004 .

Uncertainty quantification of limit-cycle oscillations

P. Beran, C. Pettit, D. R. Millman, 2006, J. Comput. Phys..

Integration of Model Reduction and Probabilistic Techniques with Deterministic Multi-physics Models

Chris L. Pettit, Philip S. Beran, Ned Lindsley, 2006 .

Optimization of a wing structure for gust response and aileron effectiveness

Ramana V. Grandhi, Chris L. Pettit, R. Grandhi, 2003 .

Prediction of Nonlinear Panel Response Using Proper Orthogonal Decomposition

Chris L. Pettit, Philip S. Beran, P. Beran, 2001 .

Nonlinear plate aeroelastic response with uncertain stiffness and boundary conditions

Chris L. Pettit, Philip S. Beran, Ned Lindsley, 2006 .

In-situ residual tracking in reduced order modelling

Joseph C. Slater, Chris L. Pettit, Philip S. Beran, 2002 .

Convergence Studies of Wiener Expansions for Computational Nonlinear Mechanics

Chris L. Pettit, Philip S. Beran, P. Beran, 2006 .

Stochastic Modeling of Incident Gust Effects on Aerodynamic Lift

Mehdi Ghommem, Muhammad R. Hajj, Chris L. Pettit, 2010 .

Spectral and multiresolution Wiener expansions of oscillatory stochastic processes

Chris L. Pettit, Philip S. Beran, P. Beran, 2006 .

Risk allocation issues for systems engineering of airframes

Chris L. Pettit, Duane E. Veley, C. Pettit, 2003, Fourth International Symposium on Uncertainty Modeling and Analysis, 2003. ISUMA 2003..

Gust Loads with Uncertainty Due to Imprecise Gust Velocity Spectra

Muhammad R. Hajj, Chris L. Pettit, Philip S. Beran, 2007 .

Full-scale wind-tunnel pressure measurements of an F/A-18 tail during buffet

Chris L. Pettit, Ed Pendleton, Dansen Brown, 1996 .

Wind tunnel tests of full-scale F/A-18 twin tail buffet - A summary of pressure and response measurements

Chris L. Pettit, Ed Pendleton, C. Pettit, 1994 .

Utility of machine learning algorithms for natural background photo classification

Chris L. Pettit, Lauren E. Waldrop, Carl R. Hart, 2018 .

Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19: a study protocol

Peter J. Taillon, A. Sarkar, Thomas Walker, 2022, BMJ Open.

Improving our environments with sound and vibration measurement solutions from Scantek

Andrew S. Wixom, Sheri L. Martinelli, B. Moore, 2023 .

Scattered signal distributions, parametric uncertainties, and Bayesian sequential updating

Carl R. Hart, C. Pettit, D. Wilson, 2017, Proc. Meet. Acoust..

Coordinated Optimization of Aircraft Routes and Locations of Ground Sensors

Sergey N. Vecherin, Chris L. Pettit, D. Keith Wilson, 2014 .

On the influence of problem definition in sensor placement optimization

Sergey N. Vecherin, D. Keith Wilson, Chris L. Pettit, 2009, Defense + Commercial Sensing.

Bayesian Regression and Updating for Sampling-Based Sensitivity Analysis

C. Pettit, D. Wilson, 2009 .

Sensitivity Analysis of Quasi-Wavelet Models of Heterogeneous Materials

Sergey N. Vecherin, Chris L. Pettit, D. K. Wilson, 2012 .

Optimal sensor placement with terrain-based constraints and signal propagation effects

Sergey N. Vecherin, D. Keith Wilson, Chris L. Pettit, 2008, Defense + Commercial Sensing.

MULTIDISCIPLINARY OPTIMIZATION OF AEROSPACE STRUCTURES WITH HIGH RELIABILITY

Wright-Patterson Afb, Ramana V. Grandhi, Chris L. Pettit, 2000 .

Parameter estimation and investigation of a bolted joint model

Joseph C. Slater, Chris L. Pettit, Oleg V. Shiryayev, 2007 .

Measurements and Modeling of Variability in the Dynamics of a Bolted Joint

Wright-Patterson Afb, Joseph C. Slater, Chris L. Pettit, 2004 .

Application of proper orthogonal decomposition to the discrete Euler equations

Chris L. Pettit, Philip S. Beran, P. Beran, 2002 .