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Geometric accuracy of digital twins for structural health monitoring

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posted on 2020-05-14, 09:15 authored by Ruodan Lu, Chris Rausch, Marzia Bolpagni, Ioannis Brilakis, Carl T Haas
We present an exploratory analysis of the geometric accuracy of digital twins generated for existing infrastructure using point clouds. A fundamental feature of digital twins is their 3D geometry. The Level of Geometric Accuracy is a vital specification to measure the twinning quality of the resulting twins. However, there is a lack of a clear definition of the Level of Geometric Accuracy for geometric twins generated in the operation and maintenance stage, especially for structural health monitoring purposes. We critically review existing industry applications and twinning methods. To highlight the technical challenges with creating high-fidelity digital replicas, we present a case study of twinning a bridge using real-world point clouds. We do not provide conclusive methods or results, but we envisage potential twinning strategies to achieve the desired geometry accuracy. We also suggest evaluation metrics to assess twinning accuracy. This chapter aims to inform the future development of a geometric-accuracy-based evaluation system for use in twinning and updating processes. Since a major barrier for a fully automated twinning workflow is the lack of rigorous interpretation of “geometric accuracy” outside design environments, it is imperative to develop comprehensive standards to guide practitioners and researchers in order to achieve model certainty. As such, this chapter also aims to educate all stakeholders in order to minimize risk when drafting contracts and exchanging digital deliverables.

Funding

This research work is supported by the National Sciences and Engineering Research Council (NSERC), Mitacs and Edge Architects Ltd and Cambridge Trimble Fund.

History

School

  • Architecture, Building and Civil Engineering

Published in

Structural Integrity and Failure

Publisher

IntechOpen

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publication date

2021-02-10

Copyright date

2020

ISBN

9781838819811; 9781838819804; 9781838819828

Language

  • en

Editor(s)

Resat Oyguc; Faham Tahmasebinia

Depositor

Dr Ruodan Lu. Deposit date: 11 May 2020

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