Engineering Applications of Computational Fluid Mechanics 
Journal Title
- Engineering Applications of Computational Fluid Mechanics
ISSN
- E 1997-003X | P 1994-2060 | 1997-003X | 1994-2060
Publisher
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University
Listed on(Coverage)
| JCR | 2010-2019 |
|---|---|
| SJR | 2012-2019 |
| CiteScore | 2012-2019 |
| SCIE | 2010-2021 |
| CC | 2016-2021 |
| SCOPUS | 2017-2020 |
| DOAJ | 2017-2021 |
OA Info.
| OA |
based on the information
|
|---|---|
| Keywords | mechanical engineering, plasmas & fluids, mechanics, physical sciences, engineering & technology, fluid mechanics |
| Review Process | Blind peer review |
| Journal info. pages | |
| Licences | CC BY, CC BY-NC |
| Copyrights | No |
| DOAJ Coverage |
|
| Subject(s) | Technology: Engineering (General). Civil engineering (General) |
Active
- Active
based on the information
- SCOPUS:2020-10
Country
- CHINA
Aime & Scopes
- The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal. Focal points of the journal are: /// Innovative computational strategies, architectures, algorithms and techniques for engineering problems /// Analysis and simulation techniques and systems /// Quality and reliability, i.e. control of the accuracy, stability and efficiency of computational process /// New computing environments such as distributed heterogeneous and collaborative computing /// Advanced visualization techniques, virtual environments and prototyping /// Automatic generation of model and mesh /// Application of object-oriented technology to engineering problems /// Applications of artificial intelligence, knowledge-based systems, decision-support systems, fuzzy logic, neural networks and evolutionary computations /// Computer-aided design and integrated systems /// Industrial experiences in the application of the above techniques, e.g. case studies or bench-marking exercises.