DTADD · Digital Twin Anomaly Detection Decision-Making for Bridge Management
Horizon Europe — Marie Skłodowska-Curie Actions
- Duration
- 2022-11-01 → 2024-10-31
- EU contribution
- €226,751
- Participants
- 3
- Scheme
- HORIZON-TMA-MSCA-PF-EF
Lines connect the coordinator with its partners.
Results in brief
Digital Twin Anomaly Detection Decision-Making for Bridge Management
The Digital Twin Anomaly Detection Decision-Making (DTADD) project was designed to tackle critical challenges in maintaining and conserving Europe’s aging bridge infrastructure. These bridges are vital to the economic, social, and cultural fabric of the continent, yet many are in poor condition. Recent catastrophic collapses have underscored the pressing need for enhanced management and maintenance strategies. Limited human and financial resources made it clear that traditional methods of bridge repair, maintenance, and replacement were insufficient to address the growing demands of infrastructure upkeep. The DTADD project sought to address these challenges by integrating advanced digital twin (DT) technologies and anomaly detection algorithms (ADAs) into a reliability-based bridge management approach (RBBMA). By doing so, the project aimed to revolutionize the way bridges are managed, with a specific focus on improving safety, optimizing maintenance schedules, and preserving cultural heritage (CH) assets. These objectives aligned closely with key European policy frameworks, including the European Green Deal, which emphasizes sustainability and resilience, and the United Nations Sustainable Development Goals (SDGs), particularly SDG 9, focusing on industry and infrastructure, and SDG 11, promoting sustainable cities and communities. Motivation and Problems Addressed The motivation behind the DTADD project lay in the need to enhance the safety and longevity of Europe’s bridges while preserving their cultural and historical value. Traditional maintenance systems lacked the ability to efficiently prioritize interventions and effectively balance technical, economic, and cultural considerations. The situation was particularly challenging for heritage bridges, where the preservation of historical significance often conflicted with structural and operational demands. Sustainability was another major driver of the project. Extending the service life of bridges and reducing the frequency of maintenance and repair activities would lower costs and also minimize the environmental impact associated with bridge management. The DTADD project aimed to fill these gaps by developing innovative, technology-driven solutions that leveraged the power of real-time monitoring and data-driven decision-making. Project Implementation and Innovations Over the course of the project, the research team successfully developed and implemented several key innovations. Digital twin models were created to provide real-time, dynamic representations of bridges under varying operational and environmental conditions. These models combined detailed 3D geometry with advanced mechanical simulations, enabling more accurate assessments of structural behavior and potential failure points. Another major achievement was the development of an ADA-informed decision-making tool. This open-source tool integrated reliability-based principles with cultural heritage considerations, allowing bridge managers to prioritize interventions based on a combination of technical needs, historical value, and sustainability goals. The tool’s design and validation involved close collaboration with stakeholders, ensuring its practical applicability and relevance to real-world challenges. Pathway to Impact The successful completion of the DTADD project has positioned its outputs as transformative tools for bridge management. By enabling predictive maintenance strategies, the project is expected to significantly enhance safety and extend the operational lifespan of bridges across Europe. The decision-making tool and associated methodologies offer a robust framework for resource optimization, reducing maintenance costs while maintaining high safety standards. The project also made significant contributions to the preservation of cultural heritage by integrating CH considerations into decision-making processes. This approach safeguards Europe’s iconic infrastructure and highlights the importance of historical and cultural assets in contemporary infrastructure management. Beyond its direct applications, the DTADD project has set a precedent for open science and collaboration. All project outputs, including software, datasets, and methodologies, were made openly accessible, ensuring that the benefits of the project extend beyond its immediate stakeholders. These resources provide a foundation for further research and innovation in the fields of structural engineering, cultural heritage conservation, and sustainable infrastructure management. Scale and Significance of Impacts The impact of the DTADD project extends across multiple dimensions. Economically, it offers tools that reduce the cost and frequency of maintenance while improving resource allocation. Societally, it enhances public safety and ensures the preservation of culturally significant structures for future generations. Environmentally, it promotes sustainability by optimizing the use of materials and minimizing the carbon footprint of maintenance activities. Politically and strategically, the project supports Europe’s leadership in innovation and sustainability, demonstrating the effectiveness of integrating cutting-edge technologies with policy-driven goals. By addressing the pressing issues of aging infrastructure and cultural preservation, the DTADD project has contributed meaningfully to Europe’s commitment to building a resilient, sustainable, and culturally enriched future.
Data: CORDIS, © European Union
Project objective
Bridge infrastructure in Europe has great economic, social and cultural value. Nevertheless, many of the assets which are part of this network are in poor condition, which has been recently evidenced by the collapse of several bridges. The available human and economic resources are simply not enough to repair, maintain or replace all bridges - part of the European network. Therefore, improvements on the current bridge management and operation system is urgently needed.During this fellowship an open-source digital twin anomaly detection decision-making (DTADD) tool will be developed to support the preventive conservation of existing bridges in Europe. This innovative tool will improve the bridge management by aiding the implementation of a reliability-based bridge management approach (RBBMA), thus contributing to bridge cultural heritage (CH) conservation and sustainability by extending their service life and reducing management costs.The DTADD fellowship has two specific objectives. The first objective is to build digital twin (DT) models of heritage/conventional bridges to assess and identify the highest performing anomaly detection algorithm (ADA) for damage and/or significant decay detection. Its second objective is to develop an ADA-informed open-source decision-making tool based on a RBBMA, to assess the need for bridge intervention while explicitly considering the bridge’s CH value.This fellowship will be carried out mainly at OsloMet, Norway, with a six-month secondment at TU Delft, Netherlands. The research experience, skills and knowledge obtained during the fellowship will help the experienced researcher to become a leading international expert on the conservation of bridges and will aid him to achieve his goal of becoming an independent researcher and obtaining a tenure track position. Furthermore, this fellowship is aligned with the Transport action of the European Green Deal as well as with the UN Sustainable Development Goals (SDGs).
Original text from CORDIS.
Participants
- OSLOMET - STORBYUNIVERSITETET · OsloCoordinatorNorway
- INTERNATIONAL CENTRE FOR THE STUDY OF THE PRESERVATION AND RESTORATION OF CULTURAL PROPERTY · RomaItaly
- TECHNISCHE UNIVERSITEIT DELFT · DelftNetherlands
Links
- View on CORDIS
- DOI: 10.3030/101066739
- https://alejandoslomet.github.io/
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e500a4f7d3&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5fb1ce914&appId=PPGMS
- https://twitter.com/MSCA_DTADD
- https://web.archive.org/web/20240602182256/https://alejandoslomet.github.io/
- https://www.facebook.com/MSCA.DTADD
- https://www.instagram.com/msca_dtadd/?fbclid=IwAR3UEEqUl3cHrVvYcUaG1npCGDzgzBT3U5JJ2D33t9O12la9Yw7Li84Ii1M
- https://www.linkedin.com/company/msca-dtadd/?viewAsMember=true
- https://www.researchgate.net/project/Digital-Twin-Anomaly-Detection-Decision-Making-DTADD-for-Bridge-Management
- https://www.youtube.com/channel/UCCFfT_ggKhtvxVhwdXyYqEw
Data: CORDIS, © European Union
