PBSHM - guidance for ensuring quality when creating an IE model for a bridge

Andrew Bunce, David Hester, Keith Worden, Julian Gosliga, Susan Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Population-Based Structural Health Monitoring (PBSHM) is a new approach in the Structural Health Monitoring (SHM) community that looks to open up the opportunity of data sharing between structures. Many SHM practices that use machine learning approaches require substantial amounts of training data to be available, which can be challenging for bridge structures. PBSHM is being newly applied to bridges, and this paper presents guidance on additional measures that can be taken to ensure accurate models of bridges and other large structures. The PBSHM approach works by comparing Attributed Graphs (AGs) of structures, using graph theory, to assess levels of similarity, and these comparisons are sensitive to changes in structural topology. The AGs are generated from Irreducible Element models of the structures, where it is important to capture each structure's topology accurately for reliable comparisons to be achieved. Therefore, this paper proposes a naming convention for individual elements of the Irreducible Element model that facilitates the implementation of quality checks on the mapped joints, and methods for calculating the 3D spatial coordinates of the joints to accommodate aspects of bridge geometry such as slope, skew or curvature in the elements.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-10)
EditorsÁlvaro Cunha, Elsa Caetano
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages1789-1795
Publication statusPublished - 30 Jun 2021
Event10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 - Portugal, Porto, Portugal
Duration: 30 Jun 202102 Jul 2021
https://web.fe.up.pt/~shmii10/

Publication series

NameInternational Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings
ISSN (Print)2564-3738

Conference

Conference10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021
Country/TerritoryPortugal
CityPorto
Period30/06/202102/07/2021
Internet address

Keywords

  • Bridge SHM
  • Irreducible Element Model
  • PBSHM
  • Population-Based Structural Health Monitoring

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Civil and Structural Engineering
  • Building and Construction

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