2021 Fiscal Year Annual Research Report
Large-scale multiphysics topology optimization for thermal and fluid systems
| Project/Area Number |
21J13418
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| Research Institution | Kyoto University |
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Principal Investigator |
李 昊 京都大学, 工学研究科, 特別研究員(DC2)
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| Project Period (FY) |
2021-04-28 – 2023-03-31
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| Keywords | topology optimizaion / parallel computing / mesh adaptation / thermal fluid problem / distributed elements / body-fitted mesh / level set method |
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| Outline of Annual Research Achievements |
We propose a parallel distributed and open-source framework for full-scale 3D structural topology optimization (TO). This can be achieved by properly combining parallel computing and mesh adaption techniques by adopting a reaction-diffusion equation (RDE) based level-set method. Our proposed method can be applied to solve 2D and large-scale 3D multiphysics optimum design problem, i.e., mean compliance problem, minimal power dissipation problem, fluid-structure interaction problem, strongly coupled natural convection problem. Various the-state-of-the-art works have been published to demonstrate the validity of our methodology.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
Our research is ongoing as what we planned in our research proposal. First, the cornerstone of this work is to build up an open-source topology optimization framework which is highly scalable and easy-to-use. This has been achieved in our first paper published on Finite Element in Analysis and Design (Elsevier). Next, we extended from the elasicity to fluid-based problem, which requires much more numerical efforts on the solver. This part of the work has been carried out and has been published on Applied Mathemaical Modelling (Elsevier). After that, we further challenge a more complicated strongly coupled thermo-fluidic problem and this part of the work has been published on International Journal for Numerical Methods in Engineering (Wiley).
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| Strategy for Future Research Activity |
we intend to break through the existing bottleneck of the sequentially performed body-fitted mesh evolution method. A fully parallel framework will be constructed. For accessing our newly updated framework, a classical aerodynamics problem lift-drag problem will be investigated. We incorporate three different remeshing techniques (isotropic, anisotropic, or body-fitted adaptive mesh refinement) into the reaction-diffusion equation-based (RDE) fluid topology optimization framework. This is owing to the flexibility of the RDE method for handling both “separate” and “hybrid” flow modeling strategies.
The lattice infill structure is of great interest from the biomimic standpoint. We will introduce a maximum length scale constraint in this workflow.
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