Parallel computing for interactions between fluids and flexible structures with application to suspended longline aquaculture farms

Project Title: Parallel computing for interactions between fluids and flexible structures with application to suspended longline aquaculture farms
Program:
Northeast (308)

Project Image: https://support.access-ci.org/system/files/webform/project/30/kelpFarm.jpg
Tags:
matlab (2), mpi (220), parallelization (223), programming (5)

Status: Complete
Project Leader
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Project Leader:
Kimberly Hugueard

Email: segee@maine.edu
Mobile Phone: {Empty}
Work Phone: (207) 581-2212

Project Personnel
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Mentor(s):
Chris Wilson (140), Larry Whitsel (86)

Student-facilitator(s):
Taidgh Robinson (178)

Mentee(s):
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Project Information
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Project Description:
The structural dynamics of the aquaculture farms in unsteady flow are essential to assess the performance and resilience of aquaculture farms in environmental change. Moreover, the feedback of the aquaculture farms to the flow is significant for the environment, ecology, and coastal management, such as hydrodynamics impacts, habitat resilience, nutrient transportation, wave attenuation, coastal erosion control, etc. The computational fluid dynamics (CFD) method is used to analyze the interaction between aquaculture farms and the flow. The longline aquaculture farms such as kelp farms and mussel farms are consisting of multiple flexible structures such as mussel droppers and kelp blades. Considering hundreds or thousands of large deformed structures in the fluid-structure interaction (FSI) computing is time-consuming. Therefore, computer science research and parallel computing implementation are essential to make progress on this project. The computer science aspects we initially envision are converting the FSI code to c++ from MATLAB, as well as parallelizing the code. If you have any ideas beyond that, we would love to hear them.

Project Information Subsection
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Project Deliverables:
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Student Research Computing Facilitator Profile:
TBD

Mentee Research Computing Profile:
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Student Facilitator Programming Skill Level: {Empty}
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Project Institution: University of Maine
Project Address:
5708 Barrows
Orono, Maine. 04469-5708

Anchor Institution: NE-University of Maine
Preferred Start Date: 03/30/2018
Start as soon as possible.: No
Project Urgency: Already behind3Start date is flexible
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What will the student learn?:
Student will gain familiarity with Matlab code and creating functionally equivalent C code.  Student will learn parallelization methods.  Student will necessarily gain problem domain knowledge as well.

What will the mentee learn?:
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What will the Cyberteam program learn from this project?:
How to create an effective team where no member has full knowledge of how to complete the task.

HPC resources needed to complete this project?:
TBD

Notes:
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Final Report
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