Swinburne
Browse

A critical transport infrastructure twin with enhanced cognitive capabilities

Download (12.21 MB)
thesis
posted on 2024-07-13, 10:30 authored by Cristobal Leonardo Sierra
Critical transport infrastructure is crucial for Australian GDP having significant socio-economical impacts. Amongst various challenges, the disconnection within pre-construction, construction and post-construction are critical. This challenge is compounded with need of half decade post-construction operation, requiring asset diagnosis and predictive strategies. This research developed a novel CTI 4.0 framework to address these challenges. The CTI 4.0 framework proposed a cloud centric twin, accessed at various stages, avoiding ambiguity and data redundancy. The framework provided advantages such as utilising unmanned aerial digitisation, cognitive ability for asset diagnosis and finally predictive maintenance strategies by predicting life under harsh environmental impacts.

History

Thesis type

  • Thesis (PhD by publication)

Thesis note

A Thesis by Publication Submitted to School of Engineering, Swinburne University of Technology, Hawthorn, Australia, for the degreee of Doctor of Philosophy, 2022.

Copyright statement

Copyright © 2022 Cristobal Leonardo Sierra Celis

Supervisors

Ambarish Kulkarni

Language

eng

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC