| Project/Area Number |
12650597
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Architectural environment/equipment
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
KAGA Akikazu Osaka University, Graduate School of Engineering, Professor, 大学院・工学研究科, 教授 (90029265)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
INOUE Yoshio Osaka University, Graduate School of Engineering, Research Associate, 大学院・工学研究科, 助手 (60203262)
KONDO Akira Osaka University, Graduate School of Engineering, Associate Professor, 大学院・工学研究科, 助教授 (20215445)
YAMAGUCHI Katsuhito Osaka University, Graduate School of Engineering, Professor, 大学院・工学研究科, 教授 (90029166)
|
|---|
| Project Period (FY) |
2000 – 2001
|
| Project Status |
Completed (Fiscal Year 2001)
|
| Budget Amount *help |
¥3,800,000 (Direct Cost: ¥3,800,000)
Fiscal Year 2001: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 2000: ¥3,400,000 (Direct Cost: ¥3,400,000)
|
|---|
| Keywords | PIV / CFD / Combination / Cost function / Indoor air / Visualization / Governing equation / Field estimation |
|---|
| Research Abstract |
The purpose of this research was developing the system that can reasonably estimate the whole indoor air environment by combining governing equations of fluid dynamics and measured environmental parameters, 3-D airflow velocity, temperature and mass concentration of pollutants.
In this research, newly proposing the Unified Cost Function method as a combination technique of measured data and governing equations developed a useful estimation system. This system can give each environmental parameter a role of the tracer for estimating own field and also the fields of other parameters trough governing equation that correlate different kind of parameters.
Moreover, an image processing system that measures 3-D dimensional air flow velocity using smoke visualization images was built, and it was used effectively in the case of the validity actual proof of the estimation system.
|
