Towards net zero carbon bridge engineering through SHM

This paper presents an overview of recent research in structural health monitoring (SHM) of bridge engineering infrastructure in the UK and Ireland aimed at promoting net zero carbon civil engineering infrastructure. This research is particularly focused on the FlexiArchTM and ArchIMEDES, incorporates a computer vision deformation monitoring tool which is used to capture the structural response (deflections and hinge formation) of the bridge and provides the neural network with raw data on which it makes remote, real-time informed predictions of prevalent scour. To overcome this limitation of traditional structural health monitoring, Population-Based Structural Health Monitoring (PBSHM) aims to group similar structures together to form a ‘population’ so that data from one or more structures can be used to make an inference about the condition of the structure of interest.

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Research Portal (Queen's University Belfast)
Published
2025-07-20
Primary Topic
Structural Health Monitoring Techniques
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article
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article

Towards net zero carbon bridge engineering through SHM

Ben Millar, Kun Feng, Su; id_orcid 0000-0003-4796-1928 Taylor, Connor; id_orcid 0000-0001-7034-005X O'Higgins et al.
Research Portal (Queen's University Belfast)
Structural Health Monitoring Techniques
article

Towards net zero carbon bridge engineering through SHM

Ben Millar, Kun Feng, Su; id_orcid 0000-0003-4796-1928 Taylor, Connor; id_orcid 0000-0001-7034-005X O'Higgins, David; id_orcid 0009-0007-2280-4340 Hester
article en

Abstract

This paper presents an overview of recent research in structural health monitoring (SHM) of bridge engineering infrastructure in the UK and Ireland aimed at promoting net zero carbon civil engineering infrastructure. This research is particularly focused on the FlexiArchTM and ArchIMEDES, incorporates a computer vision deformation monitoring tool which is used to capture the structural response (deflections and hinge formation) of the bridge and provides the neural network with raw data on which it makes remote, real-time informed predictions of prevalent scour. To overcome this limitation of traditional structural health monitoring, Population-Based Structural Health Monitoring (PBSHM) aims to group similar structures together to form a ‘population’ so that data from one or more structures can be used to make an inference about the condition of the structure of interest.

Research Portal (Queen's University Belfast)
Department for Infrastructure (GB), Anglia Ruskin University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Structural Health Monitoring Techniques
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Towards net zero carbon bridge engineering through SHM — Ben Millar, Kun Feng, et al. · Research Portal (Queen's University Belfast) (2025) | TGRS Research Map | TGRS