Publications
Publication | Type | Year |
---|---|---|
Reduction of Full-Field Data by Spectral DecompositionInternational Digital Image Correlation Society Conference
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Abstract – 2022 Abstract | 2022 |
Direct-Levelling Finite Element Analysis Data for Material Model Calibration using Digital Image Correlation and Finite Element Model UpdatingIDICs Annual Conference
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Abstract – 2022 Abstract | 2022 |
Calibration of Elastoplastic Constitutive Model Parameters with Automatic Differentiation-based Sensitivities: Application to Full-field Experimental DataInternational Digital Image Correlation Society Annual Meeting
|
Abstract – 2022 Abstract | 2022 |
Interlaced Characterization and Calibration: Online Bayesian Optimal Experimental Design for Constitutive Model CalibrationTms
|
Abstract – 2022 Abstract | 2022 |
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste RepositoryInternational High-Level Radioactive Waste Management Conference
|
Conference Paper – 2022 Conference Paper | 2022 |
Calibration of Elastoplastic Constitutive Model Parameters with Automatic Differentiation-based Sensitivities: Application to Full-field Experimental Data19th U.S. National Congress on Theoretical and Applied Mechanics
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Conference Presentation – 2022 Conference Presentation | 2022 |
Finite Element Model Levelling for Material Model Calibration using Digital Image CorrelationSociety for Experimental Mechanics Annual Conference
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Conference Presentation – 2022 Conference Presentation | 2022 |
Application of Forward Multifidelity Uncertainty Quantification to Wind FarmsAIAA SciTech 2023
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Abstract – 2022 Abstract | 2022 |
Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants8th European Congress on Computational Methods in Applied Sciences and Engineering
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Conference Presentation – 2022 Conference Presentation | 2022 |
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste RepositoryDOE Computational Research Leadership Council (CRLC) Seminar Series
|
Abstract – 2022 Abstract | 2022 |
Interlaced Characterization and Calibration: Oline Bayesian Optimal Experimental Design for Constitutive Model CalibrationAIAA SciTech
|
Abstract – 2022 Abstract | 2022 |
Overview of the latest features and capabilities in the Dakota software2022 ECCOMAS Congress
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Improving Digital Twins by Learning from a Fleet of AssetsSIAM Conference on Uncertainty Quantification
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Multilevel Monte Carlo estimators for derivative-free optimization under uncertaintySiam Uq 22
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Peridynamics and Surrogate Modeling of Pressure-driven Well StimulationInternational Journal of Rock Mechanics and Mining Sciences |
Journal Article – 2022 Journal Article | 2022 |
Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repositorySociety of Industrial and Applied Mathematics(SIAM) Conference on Uncertainty Quantification
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Conference Presentation – 2022 Conference Presentation | 2022 |
Interlaced Characterization and Calibration: Online Bayesian Optimal Experimental Design for Constitutive Model CalibrationSIAM Conference on Mathematics of Data Science
|
Abstract – 2022 Abstract | 2022 |
Interlaced Characterization and Calibration of Elastoplastic Constitutive ModelsSIAM Conference on the Mathematics of Data Science
|
Abstract – 2022 Abstract | 2022 |
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository2022 International High Level Radioactive Waste Management Conference
|
Abstract – 2022 Abstract | 2022 |
Levelling of Finite Element Models for Material Model Calibration using Digital Image CorrelationSociety for Experimental Mechanics Annual Conference
|
Conference Proceeding – 2022 Conference Proceeding | 2022 |
Calibration of Elastoplastic Constitutive Model Parameters with Automatic Differentiation-based Sensitivities: Application to Full-field Experimental Data19th U.S. National Congress on Theoretical and Applied Mechanics
|
Abstract – 2022 Abstract | 2022 |
Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
|
Abstract – 2022 Abstract | 2022 |
Overview Of The Latest Features And Capabilities In The Dakota Software8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
|
Abstract – 2021 Abstract | 2021 |
Calibration of Elastoplastic Constitutive Model Parameters from Full-field Data with Automatic Differentiation-based SensitivitiesInternational Journal for Numerical Methods in Engineering |
Journal Article – 2021 Journal Article | 2021 |
Improving Digital Twins by Learning from a Fleet of AssetsSIAM Conference on Uncertainty Quantification (UQ22)
|
Abstract – 2021 Abstract | 2021 |
Document Title | Type | Year |