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DAFNI: a computational platform to support infrastructure systems research

Author(s): ORCID (Scientific Computing Department, Science and Technology Facilities Council, Didcot, UK)
ORCID (School of Geography and the Environment, University of Oxford, Oxford, UK)
ORCID (Centre for Advanced Spatial Analysis, University College London, London, UK)
ORCID (Transportation Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK)
ORCID (Department of Civil Engineering, University of Birmingham, Birmingham, UK)
ORCID (Department of Engineering, University of Cambridge, Cambridge, UK)
ORCID (Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK)
ORCID (Centre for Environmental and Agricultural Informatics, Cranfield University, Cranfield, UK)
ORCID (Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, UK)
ORCID (School of Engineering, Newcastle University, Newcastle, UK)
ORCID (School of Geography, University of Leeds, Leeds, UK)
ORCID (Scientific Computing Department, Science and Technology Facilities Council, Didcot, UK)
ORCID (Department of Civil and Environmental Engineering, Imperial College London, London, UK)
ORCID (Department of Civil Engineering, University of Bristol, Bristol, UK)
ORCID (Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, , n. 3, v. 176
Page(s): 1-9
DOI: 10.1680/jsmic.22.00007
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1680/jsmic.22.00007.
  • About this
    data sheet
  • Reference-ID
    10730552
  • Published on:
    30/05/2023
  • Last updated on:
    19/09/2023
 
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