All Outputs (4)

Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates (2018)
Journal Article
Banyay, G. A., Shields, M. D., & Brigham, J. C. (2019). Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates. Nuclear Engineering and Design, 341, 1-15. https://doi.org/10.1016/j.nucengdes.2018.10.013

In this work, surrogate modeling is used to support a global sensitivity analysis (GSA) for a nuclear reactor assembly as a proof-of-concept to demonstrate both the pertinence of such methods to this application as well as the significant physical in... Read More about Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates.

Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks (2018)
Journal Article
Brigham, K., Gupta, S., & Brigham, J. C. (2018). Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks. International Journal for Numerical Methods in Biomedical Engineering, 34(8), Article e3094. https://doi.org/10.1002/cnm.3094

Infants born prematurely are particularly susceptible to respiratory illness due to underdeveloped lungs, which can often result in fatality. Preterm infants in acute stages of respiratory illness typically require mechanical ventilation assistance,... Read More about Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks.

Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles (2018)
Journal Article
Zupan, R., Clifford, D., Beblo, R., & Brigham, J. (2018). Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles. Journal of Facade Design and Engineering, 6(1), https://doi.org/10.7480/jfde.2018.1.1781

A concept for a smart material morphing building surface tile that would utilize adaptive surface wrinkle patterns to improve solar interaction is explored. The effect of the wrinkle patterns is numerically investigated in the context of an objective... Read More about Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles.

Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow (2018)
Journal Article
Grasinger, M., Overacker, S., & Brigham, J. (2018). Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow. Computers and Fluids, 166, 253-274. https://doi.org/10.1016/j.compfluid.2018.02.008

The Lattice Boltzmann method (LBM) is a numerical method based on computational statistical mechanics that is well-suited for approximating complex flow behaviors such as non-Newtonian, free surface, and multiphase multicomponent flow. LBM is typical... Read More about Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow.