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You searched for +publisher:"Virginia Tech" +contributor:("Xiao, Heng"). Showing records 1 – 20 of 20 total matches.

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Virginia Tech

1. Song, Kyle. Development of a Fast X-ray Line Detector System for Two-Phase Flow Measurement.

Degree: MS, Nuclear Engineering, 2016, Virginia Tech

 Measuring void fraction distribution in two-phase flow has been a challenging task for many decades because of its complex and fast-changing interfacial structure. In this… (more)

Subjects/Keywords: Attenuation Coefficient; X-ray; Void Fraction; Two-Phase Flow; Polychromatic Energy; Beam-hardening

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APA (6th Edition):

Song, K. (2016). Development of a Fast X-ray Line Detector System for Two-Phase Flow Measurement. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77503

Chicago Manual of Style (16th Edition):

Song, Kyle. “Development of a Fast X-ray Line Detector System for Two-Phase Flow Measurement.” 2016. Masters Thesis, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/77503.

MLA Handbook (7th Edition):

Song, Kyle. “Development of a Fast X-ray Line Detector System for Two-Phase Flow Measurement.” 2016. Web. 27 Sep 2020.

Vancouver:

Song K. Development of a Fast X-ray Line Detector System for Two-Phase Flow Measurement. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/77503.

Council of Science Editors:

Song K. Development of a Fast X-ray Line Detector System for Two-Phase Flow Measurement. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/77503


Virginia Tech

2. Higgins, Erik Tracy. Multi-Scale Localized Perturbation Method for Geophysical Fluid Flows.

Degree: MS, Aerospace Engineering, 2020, Virginia Tech

 Natural flows, such as those in our oceans and atmosphere, are seen everywhere and affect human life and structures to an amazing degree. Study of… (more)

Subjects/Keywords: computational fluid dynamics; non-linear interaction; multi-scale modeling; OpenFOAM; ocean physics

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APA (6th Edition):

Higgins, E. T. (2020). Multi-Scale Localized Perturbation Method for Geophysical Fluid Flows. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99889

Chicago Manual of Style (16th Edition):

Higgins, Erik Tracy. “Multi-Scale Localized Perturbation Method for Geophysical Fluid Flows.” 2020. Masters Thesis, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/99889.

MLA Handbook (7th Edition):

Higgins, Erik Tracy. “Multi-Scale Localized Perturbation Method for Geophysical Fluid Flows.” 2020. Web. 27 Sep 2020.

Vancouver:

Higgins ET. Multi-Scale Localized Perturbation Method for Geophysical Fluid Flows. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/99889.

Council of Science Editors:

Higgins ET. Multi-Scale Localized Perturbation Method for Geophysical Fluid Flows. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99889


Virginia Tech

3. Mugikura, Yuki. Application of Defocusing Technique to Bubble Depth Measurement.

Degree: MS, Mechanical Engineering, 2017, Virginia Tech

 Gas and liquid measurements of two-phase flow are very challenging, but it has become more important because of many industrial applications such as chemical, petroleum,… (more)

Subjects/Keywords: bubble; depth of field; defocusing

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APA (6th Edition):

Mugikura, Y. (2017). Application of Defocusing Technique to Bubble Depth Measurement. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78197

Chicago Manual of Style (16th Edition):

Mugikura, Yuki. “Application of Defocusing Technique to Bubble Depth Measurement.” 2017. Masters Thesis, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/78197.

MLA Handbook (7th Edition):

Mugikura, Yuki. “Application of Defocusing Technique to Bubble Depth Measurement.” 2017. Web. 27 Sep 2020.

Vancouver:

Mugikura Y. Application of Defocusing Technique to Bubble Depth Measurement. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/78197.

Council of Science Editors:

Mugikura Y. Application of Defocusing Technique to Bubble Depth Measurement. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78197


Virginia Tech

4. Tyson, William Conrad. Application of r-Adaptation Techniques for Discretization Error Improvement in CFD.

Degree: MS, Aerospace and Ocean Engineering, 2015, Virginia Tech

 Computational fluid dynamics (CFD) has proven to be an invaluable tool for both engineering design and analysis. As the performance of engineering devices become more… (more)

Subjects/Keywords: CFD; mesh adaptation; truncation error; discretization error

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APA (6th Edition):

Tyson, W. C. (2015). Application of r-Adaptation Techniques for Discretization Error Improvement in CFD. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78061

Chicago Manual of Style (16th Edition):

Tyson, William Conrad. “Application of r-Adaptation Techniques for Discretization Error Improvement in CFD.” 2015. Masters Thesis, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/78061.

MLA Handbook (7th Edition):

Tyson, William Conrad. “Application of r-Adaptation Techniques for Discretization Error Improvement in CFD.” 2015. Web. 27 Sep 2020.

Vancouver:

Tyson WC. Application of r-Adaptation Techniques for Discretization Error Improvement in CFD. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/78061.

Council of Science Editors:

Tyson WC. Application of r-Adaptation Techniques for Discretization Error Improvement in CFD. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78061

5. Wang, Jianxun. Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations.

Degree: PhD, Aerospace and Ocean Engineering, 2017, Virginia Tech

 Computational fluid dynamics (CFD) has been widely used to simulate turbulent flows. Although an increased availability of computational resources has enabled high-fidelity simulations (e.g. large… (more)

Subjects/Keywords: Uncertainty quantification; Data-driven; RANS; Turbulence modeling; Machine learning; Random matrix

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APA (6th Edition):

Wang, J. (2017). Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77035

Chicago Manual of Style (16th Edition):

Wang, Jianxun. “Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/77035.

MLA Handbook (7th Edition):

Wang, Jianxun. “Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations.” 2017. Web. 27 Sep 2020.

Vancouver:

Wang J. Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/77035.

Council of Science Editors:

Wang J. Physics-Informed, Data-Driven Framework for Model-Form Uncertainty Estimation and Reduction in RANS Simulations. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/77035


Virginia Tech

6. Li, Xuesong. Multi-dimensional Flow and Combustion Diagnostics.

Degree: PhD, Aerospace and Ocean Engineering, 2014, Virginia Tech

 Turbulent flows and turbulent flames are inherently multi-dimensional in space and transient in time. Therefore, multidimensional diagnostics that are capable of resolving such spatial and… (more)

Subjects/Keywords: Multi-dimensional measurement; laser diagnostics

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APA (6th Edition):

Li, X. (2014). Multi-dimensional Flow and Combustion Diagnostics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/48894

Chicago Manual of Style (16th Edition):

Li, Xuesong. “Multi-dimensional Flow and Combustion Diagnostics.” 2014. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/48894.

MLA Handbook (7th Edition):

Li, Xuesong. “Multi-dimensional Flow and Combustion Diagnostics.” 2014. Web. 27 Sep 2020.

Vancouver:

Li X. Multi-dimensional Flow and Combustion Diagnostics. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/48894.

Council of Science Editors:

Li X. Multi-dimensional Flow and Combustion Diagnostics. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/48894


Virginia Tech

7. Whiting, Nolan Wagner. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.

Degree: MS, Aerospace Engineering, 2019, Virginia Tech

 Uncertainties often exists when conducting physical experiments, and whether this uncertainty exists due to input uncertainty, uncertainty in the environmental conditions in which the experiment… (more)

Subjects/Keywords: Validation; Calibration; Prediction; Uncertainty Quantification

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APA (6th Edition):

Whiting, N. W. (2019). Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91903

Chicago Manual of Style (16th Edition):

Whiting, Nolan Wagner. “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.” 2019. Masters Thesis, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/91903.

MLA Handbook (7th Edition):

Whiting, Nolan Wagner. “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.” 2019. Web. 27 Sep 2020.

Vancouver:

Whiting NW. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/91903.

Council of Science Editors:

Whiting NW. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91903


Virginia Tech

8. Gautham, Tejaswini. Residual-Based Discretization Error Estimation for Unsteady Flows.

Degree: MS, Aerospace Engineering, 2020, Virginia Tech

 Computational fluid dynamics (CFD) is a tool that is widely used in most industries today. It is used to understand complex flows that are difficult… (more)

Subjects/Keywords: CFD; truncation error; discretization error

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APA (6th Edition):

Gautham, T. (2020). Residual-Based Discretization Error Estimation for Unsteady Flows. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/96400

Chicago Manual of Style (16th Edition):

Gautham, Tejaswini. “Residual-Based Discretization Error Estimation for Unsteady Flows.” 2020. Masters Thesis, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/96400.

MLA Handbook (7th Edition):

Gautham, Tejaswini. “Residual-Based Discretization Error Estimation for Unsteady Flows.” 2020. Web. 27 Sep 2020.

Vancouver:

Gautham T. Residual-Based Discretization Error Estimation for Unsteady Flows. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/96400.

Council of Science Editors:

Gautham T. Residual-Based Discretization Error Estimation for Unsteady Flows. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/96400


Virginia Tech

9. Choudhary, Aniruddha. Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation.

Degree: PhD, Aerospace and Ocean Engineering, 2015, Virginia Tech

 Code verification is the process of ensuring, to the degree possible, that there are no algorithm deficiencies and coding mistakes (bugs) in a scientific computing… (more)

Subjects/Keywords: Code verification; Order of accuracy; Method of manufactured solutions; Boundary conditions; Multiphase flows; Mesh adaptation; Truncation error

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APA (6th Edition):

Choudhary, A. (2015). Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51169

Chicago Manual of Style (16th Edition):

Choudhary, Aniruddha. “Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/51169.

MLA Handbook (7th Edition):

Choudhary, Aniruddha. “Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation.” 2015. Web. 27 Sep 2020.

Vancouver:

Choudhary A. Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/51169.

Council of Science Editors:

Choudhary A. Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51169


Virginia Tech

10. Wu, Yue. 4D combustion and flow diagnostics based on tomographic chemiluminescence (TC) and volumetric laser-induced fluorescence (VLIF).

Degree: PhD, Aerospace and Ocean Engineering, 2016, Virginia Tech

 Optical diagnostics have become indispensable tools for the study of turbulent flows and flames. However, optical diagnostics developed in the past have been primarily limited… (more)

Subjects/Keywords: Optical diagnostics; Tomography; Laser-induced fluorescence

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APA (6th Edition):

Wu, Y. (2016). 4D combustion and flow diagnostics based on tomographic chemiluminescence (TC) and volumetric laser-induced fluorescence (VLIF). (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73554

Chicago Manual of Style (16th Edition):

Wu, Yue. “4D combustion and flow diagnostics based on tomographic chemiluminescence (TC) and volumetric laser-induced fluorescence (VLIF).” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/73554.

MLA Handbook (7th Edition):

Wu, Yue. “4D combustion and flow diagnostics based on tomographic chemiluminescence (TC) and volumetric laser-induced fluorescence (VLIF).” 2016. Web. 27 Sep 2020.

Vancouver:

Wu Y. 4D combustion and flow diagnostics based on tomographic chemiluminescence (TC) and volumetric laser-induced fluorescence (VLIF). [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/73554.

Council of Science Editors:

Wu Y. 4D combustion and flow diagnostics based on tomographic chemiluminescence (TC) and volumetric laser-induced fluorescence (VLIF). [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73554


Virginia Tech

11. Sun, Rui. Particle-Resolving Simulations of Dune Migration: Novel Algorithms and Physical Insights.

Degree: PhD, Aerospace and Ocean Engineering, 2017, Virginia Tech

 Sediment transport is ubiquitous in aquatic environments, and the study of sediment transport is important for both engineering and environmental reasons. However, the understanding and… (more)

Subjects/Keywords: Sediment Transport; CFD – DEM; Particle-Resolving Simulations; Multiphase Flow; Dune Migration

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APA (6th Edition):

Sun, R. (2017). Particle-Resolving Simulations of Dune Migration: Novel Algorithms and Physical Insights. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78260

Chicago Manual of Style (16th Edition):

Sun, Rui. “Particle-Resolving Simulations of Dune Migration: Novel Algorithms and Physical Insights.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/78260.

MLA Handbook (7th Edition):

Sun, Rui. “Particle-Resolving Simulations of Dune Migration: Novel Algorithms and Physical Insights.” 2017. Web. 27 Sep 2020.

Vancouver:

Sun R. Particle-Resolving Simulations of Dune Migration: Novel Algorithms and Physical Insights. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/78260.

Council of Science Editors:

Sun R. Particle-Resolving Simulations of Dune Migration: Novel Algorithms and Physical Insights. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78260

12. Wang, Haoting. Experimental and Modeling Study of the Thermal Management of Li-ion Battery Packs.

Degree: PhD, Aerospace and Ocean Engineering, 2017, Virginia Tech

 This work reports the experimental and numerical study of the thermal management of Li-ion battery packs under the context of electric vehicle (EV) or hybrid… (more)

Subjects/Keywords: Thermal management; Li-ion battery pack; actively controlled cooling; lumped parameter thermal model; wind tunnel test

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APA (6th Edition):

Wang, H. (2017). Experimental and Modeling Study of the Thermal Management of Li-ion Battery Packs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79660

Chicago Manual of Style (16th Edition):

Wang, Haoting. “Experimental and Modeling Study of the Thermal Management of Li-ion Battery Packs.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/79660.

MLA Handbook (7th Edition):

Wang, Haoting. “Experimental and Modeling Study of the Thermal Management of Li-ion Battery Packs.” 2017. Web. 27 Sep 2020.

Vancouver:

Wang H. Experimental and Modeling Study of the Thermal Management of Li-ion Battery Packs. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/79660.

Council of Science Editors:

Wang H. Experimental and Modeling Study of the Thermal Management of Li-ion Battery Packs. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79660

13. Xu, Wenjiang. Three Dimensional Laser Diagnostics for Turbulent Flows and Flames.

Degree: PhD, Aerospace and Ocean Engineering, 2017, Virginia Tech

 Due to their scientific significance and practical applications, turbulent flows and flames have been under extensive and intensive research for a long time. Turbulent flows… (more)

Subjects/Keywords: Optical diagnostics; Tomography; Laser induced fluorescence

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APA (6th Edition):

Xu, W. (2017). Three Dimensional Laser Diagnostics for Turbulent Flows and Flames. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79912

Chicago Manual of Style (16th Edition):

Xu, Wenjiang. “Three Dimensional Laser Diagnostics for Turbulent Flows and Flames.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/79912.

MLA Handbook (7th Edition):

Xu, Wenjiang. “Three Dimensional Laser Diagnostics for Turbulent Flows and Flames.” 2017. Web. 27 Sep 2020.

Vancouver:

Xu W. Three Dimensional Laser Diagnostics for Turbulent Flows and Flames. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/79912.

Council of Science Editors:

Xu W. Three Dimensional Laser Diagnostics for Turbulent Flows and Flames. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79912


Virginia Tech

14. Gilbert, John Nicholas. Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems.

Degree: PhD, Aerospace and Ocean Engineering, 2015, Virginia Tech

 This work presents a partitioned approach to simulating free-surface flow interaction with hyper-elastic structures in which a smoothed particle hydrodynamics (SPH) solver is coupled with… (more)

Subjects/Keywords: smoothed particle hydrodynamics; meshfree CFD; fluid-structure interaction; GPU computing

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APA (6th Edition):

Gilbert, J. N. (2015). Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52924

Chicago Manual of Style (16th Edition):

Gilbert, John Nicholas. “Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/52924.

MLA Handbook (7th Edition):

Gilbert, John Nicholas. “Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems.” 2015. Web. 27 Sep 2020.

Vancouver:

Gilbert JN. Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/52924.

Council of Science Editors:

Gilbert JN. Accelerating a Coupled SPH-FEM Solver through Heterogeneous Computing for use in Fluid-Structure Interaction Problems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52924

15. Wu, Jinlong. Predictive Turbulence Modeling with Bayesian Inference and Physics-Informed Machine Learning.

Degree: PhD, Aerospace Engineering, 2018, Virginia Tech

 Reynolds-Averaged Navier–Stokes (RANS) simulations are widely used for engineering design and analysis involving turbulent flows. In RANS simulations, the Reynolds stress needs closure models and… (more)

Subjects/Keywords: Turbulence modeling; RANS; Model-form uncertainty; Data-driven; Uncertainty quantification; Bayesian Inference; Machine learning

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APA (6th Edition):

Wu, J. (2018). Predictive Turbulence Modeling with Bayesian Inference and Physics-Informed Machine Learning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85129

Chicago Manual of Style (16th Edition):

Wu, Jinlong. “Predictive Turbulence Modeling with Bayesian Inference and Physics-Informed Machine Learning.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/85129.

MLA Handbook (7th Edition):

Wu, Jinlong. “Predictive Turbulence Modeling with Bayesian Inference and Physics-Informed Machine Learning.” 2018. Web. 27 Sep 2020.

Vancouver:

Wu J. Predictive Turbulence Modeling with Bayesian Inference and Physics-Informed Machine Learning. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/85129.

Council of Science Editors:

Wu J. Predictive Turbulence Modeling with Bayesian Inference and Physics-Informed Machine Learning. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/85129

16. Tyson, William Conrad. On Numerical Error Estimation for the Finite-Volume Method with an Application to Computational Fluid Dynamics.

Degree: PhD, Aerospace Engineering, 2018, Virginia Tech

 Computational fluid dynamics (CFD) is a branch of computational physics at the intersection of fluid mechanics and scientific computing in which the governing equations of… (more)

Subjects/Keywords: Computational Fluid Dynamics; Discretization Error Estimation; Truncation Error Estimation; Adjoint Methods; Numerical Error Estimation

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APA (6th Edition):

Tyson, W. C. (2018). On Numerical Error Estimation for the Finite-Volume Method with an Application to Computational Fluid Dynamics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86193

Chicago Manual of Style (16th Edition):

Tyson, William Conrad. “On Numerical Error Estimation for the Finite-Volume Method with an Application to Computational Fluid Dynamics.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/86193.

MLA Handbook (7th Edition):

Tyson, William Conrad. “On Numerical Error Estimation for the Finite-Volume Method with an Application to Computational Fluid Dynamics.” 2018. Web. 27 Sep 2020.

Vancouver:

Tyson WC. On Numerical Error Estimation for the Finite-Volume Method with an Application to Computational Fluid Dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/86193.

Council of Science Editors:

Tyson WC. On Numerical Error Estimation for the Finite-Volume Method with an Application to Computational Fluid Dynamics. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/86193

17. Zainali, Amir. High-Fidelity Numerical Simulation of Shallow Water Waves.

Degree: PhD, Geosciences, 2016, Virginia Tech

 Tsunamis impose significant threat to human life and coastal infrastructure. The goal of my dissertation is to develop a robust, accurate, and computationally efficient numerical… (more)

Subjects/Keywords: tsunami; dispersive waves; coastal vegetation

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APA (6th Edition):

Zainali, A. (2016). High-Fidelity Numerical Simulation of Shallow Water Waves. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73653

Chicago Manual of Style (16th Edition):

Zainali, Amir. “High-Fidelity Numerical Simulation of Shallow Water Waves.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/73653.

MLA Handbook (7th Edition):

Zainali, Amir. “High-Fidelity Numerical Simulation of Shallow Water Waves.” 2016. Web. 27 Sep 2020.

Vancouver:

Zainali A. High-Fidelity Numerical Simulation of Shallow Water Waves. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/73653.

Council of Science Editors:

Zainali A. High-Fidelity Numerical Simulation of Shallow Water Waves. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73653

18. Lei, Qingchun. Development and Validation of Reconstruction Algorithms for 3D Tomography Diagnostics.

Degree: PhD, Mechanical Engineering, 2017, Virginia Tech

 This work reports three reconstruction algorithms developed to address the practical issues encountered in 3D tomography diagnostics, such as the limited view angles available in… (more)

Subjects/Keywords: Optical diagnostic; Tomography; Reconstruction algorithms

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APA (6th Edition):

Lei, Q. (2017). Development and Validation of Reconstruction Algorithms for 3D Tomography Diagnostics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74233

Chicago Manual of Style (16th Edition):

Lei, Qingchun. “Development and Validation of Reconstruction Algorithms for 3D Tomography Diagnostics.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/74233.

MLA Handbook (7th Edition):

Lei, Qingchun. “Development and Validation of Reconstruction Algorithms for 3D Tomography Diagnostics.” 2017. Web. 27 Sep 2020.

Vancouver:

Lei Q. Development and Validation of Reconstruction Algorithms for 3D Tomography Diagnostics. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/74233.

Council of Science Editors:

Lei Q. Development and Validation of Reconstruction Algorithms for 3D Tomography Diagnostics. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/74233

19. He, Fan. Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules.

Degree: PhD, Mechanical Engineering, 2015, Virginia Tech

 Lithium ion (Li-ion) batteries have been identified as a promising solution to meet the increasing demands for alternative energy in electric vehicles (EVs) and hybrid… (more)

Subjects/Keywords: Thermal management; Li-ion batteries; Computational fluid dynamics (CFD); Reduced-order model (ROM); Active temperature control; Reciprocating cooling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

He, F. (2015). Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51748

Chicago Manual of Style (16th Edition):

He, Fan. “Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/51748.

MLA Handbook (7th Edition):

He, Fan. “Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules.” 2015. Web. 27 Sep 2020.

Vancouver:

He F. Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/51748.

Council of Science Editors:

He F. Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51748

20. Fu, Yucheng. Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement.

Degree: PhD, Mechanical Engineering, 2018, Virginia Tech

 Bubbly flow phenomenon exists in a wide variety of systems, for example, nuclear reactor, heat exchanger, chemical bubble column and biological system. The accurate measurement… (more)

Subjects/Keywords: Image processing; Bubbly flow measurement; 3D bubble reconstruction; Bubble Generative Adversarial Network (BubGAN)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fu, Y. (2018). Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85390

Chicago Manual of Style (16th Edition):

Fu, Yucheng. “Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 27, 2020. http://hdl.handle.net/10919/85390.

MLA Handbook (7th Edition):

Fu, Yucheng. “Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement.” 2018. Web. 27 Sep 2020.

Vancouver:

Fu Y. Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10919/85390.

Council of Science Editors:

Fu Y. Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/85390

.