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Towards Automated Pipelines for Processing Load Test Data on a HS Railway Bridge in Spain using a Digital Twin

Authors: Ramonell Cazador, Carlos; Chacón Flores, Rolando Antonio;

Towards Automated Pipelines for Processing Load Test Data on a HS Railway Bridge in Spain using a Digital Twin

Abstract

This document presents an automated pipeline to process sensor-based data produced during load tests on digitally twinned HS railway bridges. The research is developed within the frame of the H2020 European project ASHVIN, related to Assistants for Healthy, Safe, and Productive Virtual Construction, Design, Operation & Maintenance using Digital Twins. The pipeline is developed within a digital twin application based on event-driven microservices, which integrates the ASHVIN IoT platform, the IFC building information model and an array of services dedicated to automating processes performed during the operation stage of structural assets. A load test carried out on a bridge located on a HS railway in Spain is used as a demonstrator.

All authors acknowledge the funding of ASHVIN, “Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digital Twin” an H2020 project under agreement 958161.

Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura

Objectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement Econòmic

Country
Spain
Keywords

IoT, :Enginyeria civil::Materials i estructures::Tipologies estructurals [Àrees temàtiques de la UPC], Ponts, Bridges, Data processing, Digital Twin, Load tests, Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals, BIM, Automated pipeline, Event-based microservice architecture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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4
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90
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