University of Nottingham logo, linking to repository homepage
      View Item 
      • Nottingham Research Data Management Repository
      • University of Nottingham Research Data Management Service
      • Public Research Data
      • View Item
      • Nottingham Research Data Management Repository
      • University of Nottingham Research Data Management Service
      • Public Research Data
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Analytical derivation and numerical validation of novel scaling laws for air-water flows

      Thumbnail
      View/Open
      Scaling laws generator (2.473Mb)
      Publication date
      2022-10-03
      Creators
      Catucci, Daniele
      Briganti, Riccardo
      Heller, Valentin
      Metadata
      Show full item record
      Description
      A MATLAB application to find different configurations of the novel scaling laws for air-water flows. This app allows for the generation of different configurations by setting assumptions for air compressibility. By knowing the laboratory conditions, e.g. the properties of the fluid, the app calculates the conditions under which air-water flows are self-similar, i.e. the behaviour of the scaled laboratory model is invariant with respect to its prototype. The self-similar conditions are calculated by applying the Lie-group transformation to the governing equations of air-water flows, i.e. including the surface tension and the air compressibility effects.
      External URI
      • https://rdmc.nottingham.ac.uk/handle/internal/9565
      DOI
      • http://doi.org/10.17639/nott.7244
      Links
      • MATLAB
      • http://doi.org/10.17639/nott.7244
      Subjects
      • Application software
      • Scaling laws (Statistical physics)
      • Lie groups
      • Water -- Air entrainment
      • air-water flows, Froude scaling laws, Lie groups, scale effects, self-similarity
      • Engineering::General engineering::Mechanics::Fluid mechanics
      • T Technology::TC Hydraulic engineering. Ocean engineering
      Divisions
      • University of Nottingham, UK Campus::Faculty of Engineering::Department of Civil Engineering
      Research institutes and centres
      • University of Nottingham, UK Campus
      Deposit date
      2022-10-03
      Data type
      Application
      Funders
      • Other
      Data collection method
      Coding
      Resource languages
      • en
      Publisher
      The University of Nottingham

      Browse

      All of Nottingham Research Data Management RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

      My Account

      UoN Login

      Arkivum Files

      My Downloads

      Statistics

      Most Popular ItemsStatistics by CountryMost Popular Authors
       

      Research @ The University of Nottingham

      King's Meadow Campus

      Lenton Lane

      Nottingham, NG7 2NR

      For further information and policies refer to https://www.nottingham.ac.uk/library/research/research-data-management/index.aspx

      For further information and policies refer to Policies

      For information on accessibility refer to https://www.nottingham.ac.uk/utilities/accessibility/dspace.aspx

      and the Accessibility Statement