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Author(s): (Department of Civil, Environmental, and Geomatic Engineering, Infrastructure Systems Institute, University College London, London, UK)
(Department of Civil, Environmental, and Geomatic Engineering, Infrastructure Systems Institute, University College London, London, UK)
(School of Water, Energy and Environment, Cranfield University, Cranfield, UK)
(Environmental Change Institute, Oxford University, Oxford, UK)
(Software Engineering Department, De La Rue, Team Valley Trading Estate, Gateshead, UK)
(School of Water, Energy and Environment, Cranfield University, Cranfield, UK)
(Lincoln Agri-Robotics, University of Lincoln, Lincoln, UK)
(Zentrum Klinische Studien, Universitätsklinikum Freiburg, Freiburg, Germany)
(Scientific Computing Department, Science and Technology Facilities Council, UK Research and Innovation, Rutherford Appleton Laboratory, Harwell Campus, Didcot, UK)
(Scientific Computing Department, Science and Technology Facilities Council, UK Research and Innovation, Rutherford Appleton Laboratory, Harwell Campus, Didcot, UK)
(Scientific Computing Department, Science and Technology Facilities Council, UK Research and Innovation, Rutherford Appleton Laboratory, Harwell Campus, Didcot, UK)
(School of Geography, University of Leeds, Leeds, UK)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, , n. 2, v. 176
Page(s): 1-10
DOI: 10.1680/jsmic.22.00005
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.22.00005.
  • About this
    data sheet
  • Reference-ID
    10690192
  • Published on:
    13/08/2022
  • Last updated on:
    04/08/2023
 
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