Analysis of data for 6,978 bridges to inform a data strategy for predictive maintenance

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

1 Citation (Scopus)

Abstract

Funding Information: The authors would like to acknowledge the support received by the Royal Academy of Engineering under the Research Fellowship scheme. The Department for Infrastructure are gratefully acknowledged for their financial support and the provision of access to the complete bridge management records and permitting the analysis and findings to be used in this paper. Publisher Copyright: \textcopyright 2021 Taylor Francis Group, London; 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020 ; Conference date: 11-04-2021 Through 15-04-2021
Original languageEnglish (Ireland)
Title of host publicationBridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations: Proceedings of the 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020
PublisherCRC Press/Balkema
Number of pages7
Publication statusPublished - 1 Apr 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Stevens, N. A. and M. Lydon and Taylor, S. E. and G. Hamill and Marshall, A. H. and Campbell, K. E.J. and T. Neeson and A. O'Connor

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