James E. Warner

发表

Rapid Uncertainty Propagation for High-Fidelity Prognostics Using SROMPy and Python

James E. Warner, Patrick E. Leser, Jacob D. Hochhalter, 2018 .

Near Real-Time Probabilistic Damage Diagnosis Using Surrogate Modeling and High Performance Computing

Desh Ranjan, Mohammad Zubair, James E. Warner, 2017 .

A digital twin feasibility study (Part II): Non-deterministic predictions of fatigue life using in-situ diagnostics and prognostics

James E. Warner, Patrick E. Leser, Jacob D. Hochhalter, 2020, Engineering Fracture Mechanics.

Probabilistic fatigue damage prognosis using surrogate models trained via three-dimensional finite element analysis

Paul A. Wawrzynek, Fuh-Gwo Yuan, James E. Warner, 2017 .

A Diagnosis-Prognosis Feedback Loop for Improved Performance Under Uncertainties

James E. Warner, Patrick E. Leser, 2017 .

Sequential Monte Carlo: Enabling Real-time and High-fidelity Prognostics

James E. Warner, Patrick E. Leser, Jacob D. Hochhalter, 2018 .

A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis

James E. Warner, Patrick E. Leser, Jacob D. Hochhalter, 2017, International journal of prognostics and health management.

Scalable Implementation of Finite Elements by NASA _ Implicit (ScIFEi)

Gerd Heber, James E. Warner, Jacob D. Hochhalter, 2016 .

Stochastic Reduced Order Models with Python (SROMPy)

James E. Warner, 2018 .

Predicting failure of the Second Sandia Fracture Challenge geometry with a real-world, time constrained, over-the-counter methodology

Derek H. Warner, Anthony R. Ingraffea, James E. Warner, 2016, International Journal of Fracture.

Probabilistic Fatigue Damage Prognosis Using a Surrogate Model Trained Via 3D Finite Element Analysis

Paul A. Wawrzynek, Fuh-Gwo Yuan, James E. Warner, 2015 .

Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks pdf

James E. Warner, Patrick E. Leser, William P. Leser, 2020, ArXiv.

On the optimization of approximate control variates with parametrically defined estimators

James E. Warner, Patrick E. Leser, William P. Leser, 2020, J. Comput. Phys..

Entropy-based adaptive design for contour finding and estimating reliability

Robert B. Gramacy, James E. Warner, Patrick E. Leser, 2021, Journal of Quality Technology.

Robust topology optimization under loading uncertainties via stochastic reduced order models

James K. Guest, James E. Warner, Miguel A. Aguiló, 2021, International Journal for Numerical Methods in Engineering.

Stochastic reduced order models for random vectors: Application to random eigenvalue problems

Mircea Grigoriu, Wilkins Aquino, James E. Warner, 2013 .

A numerical framework for the modeling of corrosive dissolution

Wilkins Aquino, James E. Warner, Swarnavo Sarkar, 2012 .

A Computationally-Efficient Inverse Approach to Probabilistic Strain-Based Damage Diagnosis

James E. Warner, Patrick E. Leser, Jacob D. Hochhalter, 2016 .

NASA / TP – 2016-219169 Probabilistic Damage Characterization using a Computationally-Efficient Bayesian Approach

James E. Warner, Jacob D. Hochhalter, 2016 .

Stochastic reduced order models for uncertainty quantification of intergranular corrosion rates

Mircea Grigoriu, Wilkins Aquino, James E. Warner, 2014 .