| Project/Area Number |
21J13418
|
|---|
| Research Category |
Grant-in-Aid for JSPS Fellows
|
| Allocation Type | Single-year Grants |
|---|
| Section | 国内 |
|---|
| Review Section |
Basic Section 18030:Design engineering-related
|
|---|
| Research Institution | Kyoto University |
|---|
Principal Investigator |
李 昊 京都大学, 工学研究科, 特別研究員(DC2)
|
|---|
| Project Period (FY) |
2021-04-28 – 2023-03-31
|
| Project Status |
Completed (Fiscal Year 2022)
|
| Budget Amount *help |
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2022: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2021: ¥800,000 (Direct Cost: ¥800,000)
|
|---|
| Keywords | lift-drag / feature rich design / h-adaptation / length scale control / local volume constraint / distributed computing / topology optimizaion / parallel computing / mesh adaptation / thermal fluid problem / distributed elements / body-fitted mesh / level set method |
|---|
| Outline of Research at the Start |
Topology optimization (TO) is well-known as an efficient computational method for structural design due to its high degree of flexibility. We propose a new framework for the large-scale TO method for the thermo-fluid-structure system design which is efficient, open-source and easy-to-use. The cornerstone of our methodology is the reaction-diffusion equation (RDE) based level-set method. We use efficient mesh evolution strategy, preconditioner techniques for solving large-scale finite element system. We show a variety of engineering examples: architecture, fluid-structure-interation, heat sink.
|
| Outline of Annual Research Achievements |
Continuing last year's work, we further introduce the distributed unstructured mesh adaptation into the fluid-related topology optimization which is a first step in that direction. A lift-drag optimization problem and a classical minimal power dissipation problem are formulated for comparison and for accessing the constructed framework. Furthermore, motivated by the need for porous structures in the design of biodegradable implants, as well as for the diverse and competitive designs in architecture, we build upon the recent advances in the single-scale (macroscopic) topology optimization (TO) approach and propose a level-set method (LSM) for the design of lattice structures. The key idea is to introduce the maximum length-scale constraint, realized by a PDE filter, into the reaction-diffusion equation (RDE)-based LSM which can end up with a feature-rich shape, starting from scratch.
|
| Research Progress Status |
令和4年度が最終年度であるため、記入しない。
|
| Strategy for Future Research Activity |
令和4年度が最終年度であるため、記入しない。
|
