Computational Hydraulics: Theory, Methods and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 26 August 2025 | Viewed by 1317
Special Issue Editors
Interests: hydraulic engineering; ecological hydraulics; computational hydraulics; fishway hydraulics; computational fluid dynamics; hydrodynamics
Interests: hydro-system modelling; urban hydrology; sustainable urban water system; flood modelling; computational hydraulics; river and coastal hydraulics; sediment dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are inviting submissions to the Special Issue on “Computational Hydraulics: Theory, Methods and Applications”.
This Special Issue is devoted to advancing the theory, methods, and applications of computational hydraulics and potential research fields involve engineering hydraulics (e.g., flood discharge and energy dissipation, high-velocity flow, flow-induced vibration, cavitation and erosion, aeration and cavitation mitigation, flood discharge atomization and pumped storage power station), urban hydraulics (e.g., urban flood control, long-distance water transport, urban water supply pipe networks and sponge city construction), river dynamics (e.g., river channel flow, sediment movement and river bed evolution), environmental hydraulics (e.g., water area pollutant transport, vegetation flow, water area thermal stratification and water area density stratification), and ecological hydraulics (e.g., fishway hydraulics and aquatic ecosystem restoration).
With the development of deep learning and machine learning, the scope of applications for artificial intelligence (AI) in the field of computational hydraulics has expanded. This includes the modeling of hydraulic engineering geometric parameters, mesh generation, turbulence model computation, and scientific visualization of flow fields. The introduction of AI into computational hydraulics is of great significance for enhancing informatization and intelligence in hydraulic engineering, and for advancing the construction of digital twin smart water conservancy systems. Therefore, this Special Issue also welcomes research on the AI application of computational hydraulics.
Dr. Di Zhang
Dr. Mingfu Guan
Prof. Dr. Yakun Liu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- engineering hydraulics
- urban hydraulics
- river dynamics
- environmental hydraulics
- ecological hydraulics
- computational hydraulics
- fishway hydraulics
- hydraulic structure
- vegetation flow
- artificial intelligence
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