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On the efficacy of stochastic collocation, stochastic Galerkin, and stochastic reduced order models for solving stochastic problems

Probabilistic engineering mechanics, 2015-07, Vol.41 (C), p.60-72

2015

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On the accuracy of the polynomial chaos approximation

Probabilistic engineering mechanics, 2004, Vol.19 (1), p.65-80

2004

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A method for analysis of linear dynamic systems driven by stationary non-Gaussian noise with applications to turbulence-induced random vibration

Applied mathematical modelling, 2014-01, Vol.38 (1), p.336-354

2014

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A method for the efficient construction and sampling of vector-valued translation random fields

Probabilistic engineering mechanics, 2012-07, Vol.29, p.79-91

2012

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A two-step method for analysis of linear systems with uncertain parameters driven by Gaussian noise

Probabilistic engineering mechanics, 2013-10, Vol.34, p.200-210

2013

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A Poisson random field model for intermittent phenomena with application to laminar-turbulent transition and material microstructure

Applied mathematical modelling, 2011-03, Vol.35 (3), p.1142-1156

2011

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Development and calibration of a stochastic dynamics model for the design of a MEMS inertial switch

Sensors and actuators. A. Physical., 2007-02, Vol.134 (1), p.109-118

2007

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Level cut Gaussian random field models for transitions from laminar to turbulent flow

Probabilistic engineering mechanics, 2012-04, Vol.28, p.91-102

2012

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Bayesian methods for characterizing unknown parameters of material models

Applied mathematical modelling, 2016-07, Vol.40 (13-14), p.6395-6411

2016

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A decision-theoretic method for surrogate model selection

Journal of sound and vibration, 2008-04, Vol.311 (3), p.1371-1390

Field, R.V.

2008

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Optimal design of sensor networks for vehicle detection, classification, and monitoring

Probabilistic engineering mechanics, 2006-10, Vol.21 (4), p.305-316

2006

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A solution to the static frame validation challenge problem using Bayesian model selection

Computer methods in applied mechanics and engineering, 2008-05, Vol.197 (29), p.2540-2549

2008

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Model selection for a class of stochastic processes or random fields with bounded range

Probabilistic engineering mechanics, 2009-07, Vol.24 (3), p.331-342

2009

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Reliability of dynamic systems under limited information

Probabilistic engineering mechanics, 2009, Vol.24 (1), p.16-26

2009

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Modeling of atmospheric temperature fluctuations by translations of oscillatory random processes with application to spacecraft atmospheric re-entry

Probabilistic engineering mechanics, 2011-04, Vol.26 (2), p.231-239

2011

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Model Selection for Random Functions with Bounded Range: Applications in Science and Engineering

Bounded Noises in Physics, Biology, and Engineering, 2013, p.247-271

2013

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Optimal stochastic models for spacecraft atmospheric re-entry

Journal of sound and vibration, 2006-03, Vol.290 (3), p.991-1014

2006

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Methods to Compute Probabilistic Measures of Robustness for Structural Systems

Journal of vibration and control, 1996-11, Vol.2 (4), p.447-463

1996

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Computation of probabilistic stability measures for a controlled distributed parameter system

Probabilistic engineering mechanics, 1995, Vol.10 (3), p.181-192

1995

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Probability-Based Stability Robustness Assessment of Controlled Structures

IFAC Proceedings Volumes, 1996-06, Vol.29 (1), p.5571-5575

1996

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Probability-Based Stability Robustness Assessment of Controlled Structures

IFAC Proceedings Volumes, 1996-06, Vol.29 (1), p.5571-5575

1996

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A Tutorial on Design Analysis Using von Mises Stress in Random Vibration Environments

The Shock and vibration digest, 2000-11, Vol.32 (6), p.466-474

2000

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Reliability-based covariance control design

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997, Vol.1, p.11-15 vol.1

1997

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Investigating a reliable covariance control scheme for MDOF systems

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998, Vol.4, p.2564-2568 vol.4

1998

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Chemical beneficiation of zircon concentrates in Western Australia

International journal of mineral processing, 1984-01, Vol.13 (4), p.251-258

1984

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On the efficacy of stochastic collocation, stochastic Galerkin, and stochastic reduced order models for solving stochastic problems

On the accuracy of the polynomial chaos approximation

A method for analysis of linear dynamic systems driven by stationary non-Gaussian noise with applications to turbulence-induced random vibration

A method for the efficient construction and sampling of vector-valued translation random fields

A two-step method for analysis of linear systems with uncertain parameters driven by Gaussian noise

A Poisson random field model for intermittent phenomena with application to laminar-turbulent transition and material microstructure

Development and calibration of a stochastic dynamics model for the design of a MEMS inertial switch

Level cut Gaussian random field models for transitions from laminar to turbulent flow

Bayesian methods for characterizing unknown parameters of material models

A decision-theoretic method for surrogate model selection

Optimal design of sensor networks for vehicle detection, classification, and monitoring

A solution to the static frame validation challenge problem using Bayesian model selection

Model selection for a class of stochastic processes or random fields with bounded range

Reliability of dynamic systems under limited information

Modeling of atmospheric temperature fluctuations by translations of oscillatory random processes with application to spacecraft atmospheric re-entry

Model Selection for Random Functions with Bounded Range: Applications in Science and Engineering

Optimal stochastic models for spacecraft atmospheric re-entry

Methods to Compute Probabilistic Measures of Robustness for Structural Systems

Computation of probabilistic stability measures for a controlled distributed parameter system

Probability-Based Stability Robustness Assessment of Controlled Structures

Probability-Based Stability Robustness Assessment of Controlled Structures

A Tutorial on Design Analysis Using von Mises Stress in Random Vibration Environments

Reliability-based covariance control design

Investigating a reliable covariance control scheme for MDOF systems

Chemical beneficiation of zircon concentrates in Western Australia

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