Zhenguang Huang

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Dr. Zhenguang Huang is an assistant research scientist in the department of Climate and Space Sciences and Engineering. His research focus is on 3-D global five- and six-moment multi-fluid simulations, and 3-D global multi-ion MHD simulations of the space plasma. He is also one of the main developers of the Block-Adaptive-Tree-Solarwind-Roe-Upwind-Scheme (BATSRUS) and the Space Weather Modeling Framework (SWMF).

Lulu Zhao

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Dr. Lulu Zhao is an assistant research scientist in the Climate and Space Sciences and Engineering. Her research focus is the modelling of the acceleration and transport of energetic particles using M-FLAMPA (multiple-field-line-advection-model with particle acceleration). The M-FLAMPA model extract magnetic field lines from the magnetohydrodynamics (MHD) simulations of the background solar wind solution through SWMF (space weather frame work). Along those magnetic field lines, the particle transport and acceleration are modelled by solving the particle transport equations.

 

Alanah Cardenas-O’Toole

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Year
2021-2022

Research Description
Scientific computing techniques to understand the solar atmosphere dynamics and its impact on the Earth’s ionosphere. She will utilize both advanced data analysis methods and numerical models in her research.

Mentor
Shasha Zou, Climate and Space Sciences and Engineering

Yifu An

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Year
2021-2022

Research Description
Modeling space physics and predicting space weather with a combination of first-principles models, machine learning and data assimilation.

Mentor
Gabor Toth, Climate and Space Sciences and Engineering

Portrait of Jeremy Bricker

Jeremy Bricker

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Jeremy Bricker is an Associate Professor in the department of Civil and Environmental Engineering. His research is focused on hydraulic engineering to investigate the resilience of structures and infrastructure exposed to both increasing hazard due to climate change and increasing consequences due to expansion of development in coastal and flood-prone areas.

Computational methods are useful in hydraulic engineering for assessing the safety of coastal and hydraulic structures, estimating the flood risk experienced by communities, and predicting damage to buildings during floods, hurricanes, and tsunamis. At a large scale of hundreds to thousands of kilometers, shallow water equation models simulate tsunami propagation, storm surge and wave generation, and river flood occurrence. At scales of kilometers to tens of kilometers, these models resolve overland inundation due to flood events, allowing empirical or analytical estimates of forces on structures and damage to buildings and infrastructure. At a small scale of tens to hundreds of meters, computational fluid dynamics (CFD) directly calculates pressures and forces on submerged and emergent structures from floodwaters and waves. This can be linked with a dynamic response model to assess whether resonance could lead to structural failure, or linked with a Finite Element Method (FEM) model to assess stresses within the structure. Such modeling is useful for forensic analysis of the failure of bridges, buildings, and other infrastructure after floods, as well as for planning and design of new structures.

 

Streamlines around the cross-section of a 3-girder bridge deck submerged by a river flood, from Oudenbroek et al. (2018).

 

 

Hugo Casquero

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Hugo Casquero is an Assistant Professor in the Mechanical Engineering Department at University of Michigan – Dearborn. His research is focused on developing accurate, robust, and efficient computational methods and using them to solve a myriad of open problems in fluid mechanics, solid mechanics, fluid-structure interaction, biomechanics, and multiphysics. The overarching theme of the computational methods that Dr. Casquero develops is to solve partial differential equations exploiting the new advantages that splines bring to computational mechanics. Dr. Casquero is particularly interested in developing computational frameworks for real-world applications in which experimental measurement of the quantities of interest is too costly or not currently available. Current research activities in his group include achieving a seamless integration between design and analysis of thin-walled structures, studying the dynamics of vesicles, capsules, red blood cells, and droplets under different types of flow, and developing structure-preserving spline discretizations of magnetohydrodynamics to solve problems in fusion energy.

animation of a crash simulation plotting von Mises stress

Crash simulation plotting von Mises stress. A discretization of Kirchhoff-Love shells based on analysis-suitable T-splines is used. This simulation includes elastoplastic material behavior, fracture criteria, contact algorithms, and spot-weld modeling. Material failure takes place around the largest hole of the B-pillar.  

Yin Lu (Julie) Young

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Yin Lu (Julie) Young is a Professor in the department of Naval Architecture and Marine Engineering. Her research focuses on the dynamic fluid-structure interaction response and stability of smart/adaptive multi-functional marine structures such as marine propulsors, turbines and control surfaces. One of her research focus is the fluid-structure interaction response and stability of marine and coastal structures. She is the current director of the Aaron Friedman Marine Hydrodynamics Laboratory. Her research has been supported by the Office of Naval Research (ONR), the Naval Surface Warfare Center (NSWC), and the National Science Foundation (NSF).