Structural safety verifications based on measurement data
Table of contents
Project data
| Titel | Title TP der TU Dresden im Verbundprojekt ANYTWIN: Entwicklung und Standardisierung von Methoden zur messdatengestützten Tragsicherheitsbewertung von Straßenbrücken und die Integration in digitale Zwillinge | Subproject of TU Dresden within the joint research project ANYTWIN: Development and standardization of methods for measurement-based structural safety assessment of highway bridges and integration into digital twins Förderer | Funding Bundesministerium für Digitales und Verkehr (BMDV) Zeitraum | Period 09/2023 – 08/2026 Teilprojektleiter | Subproject manager Prof. Dr.-Ing. Steffen Marx Team | Team Dipl.-Ing. Maria Walker, Dipl.-Ing. Arne Klimt Projektpartner | Project partners Fachgebiet Entwerfen und Konstruieren – Stahlbau, TU Berlin | MKP GmbH, Weimar | GMG Ingenieurgesellschaft mbH, Dresden | Bundesanstalt für Straßenwesen, Bergisch Gladbach | Hentschke Bau GmbH, Bautzen Assoziierte Partner | Associated partners Hamburg Port Authority AöR, Hamburg | Die Autobahn GmbH des Bundes, Berlin |
Report from year book 2023
Recalculation based on sensor data
The Köhlbrand bridge in Hamburg serves to test the concept of the digital twin unter real-life conditions
The occurrence of potential failure mechanisms in bridge structures is described on the basis of calculated verifications. Conservative assumptions are often made due to lack of information, resulting in calculated safety deficits. Measurement-based verification helps optimize recalculation using sensor data, contributing to the preservation of the existing structure. The core question of the ANYTWIN project in this context is: How can measurement-based re-calculation be standardized and what are the requirements for the monitoring data and the digital twin in this context?
In the initial stage of the project, cross-industry research was conducted to investigate the definitions and application objectives of digital twins, as well as the current standards and formats used for measurement data. The project team developed use cases and essential requirements for implementing digital twins in road bridge construction. Special attention was given to the role of BIM methodology and the required IT infrastructure. Topic-specific workshops were organized to ensure a regular exchange of experience among the project participants.
In the further course of the project, the research and validation of standardized concepts for measurement data-based verification will follow. For this purpose, a tendering standard for monitoring systems will be developed and the concepts for measurement data-based verification developed by the project partners will be systematically compared and common evaluation methods analyzed. The practical suitability of the concepts will be validated using real data from the model bridge of the IDA-KI research project and the Köhlbrand Bridge. In addition, aggregated quality indicators to describe the condition of the bridge will be developed and localized in a structured data model to be integrated into the digital twin. Furthermore, a concept for extending the recalculation guideline for individual structural safety verifications in form of recommended actions is proposed.
Short description
Digitized sensor nodes on the Köhlbrand Bridge in Hamburg
The primary objective of ANYTWIN is to develop standardized measurement and evaluation concepts for selected structural safety assessments. This will provide the basis for future realistic monitoring in digital bridge twins. The concepts take into account the influences of data quality and measurement scope and are in accordance with the safety philosophy of the regulations. Tender standards for monitoring data will be defined and a data structure model will be developed for sustainable and interoperable use and integration of the data in digital twins.
The aim of the TUD is to research and validate standardized concepts for measurement data-based verification and the structured integration of aggregated bridge condition data within the digital twin. Therefore, the following research questions need to be answered:
- What are the requirements for the monitoring system with regard to data quality and quantity?
- Which evaluation algorithms are suitable for measurement-based verification and how should they be applied?
- What is the data structure in the digital twin for abstracting relevant building information?
To this end, a tendering standard for monitoring systems will be developed. The concepts for measurement data-based verification developed by the project partners in previous work packages will be systematically compared and common evaluation methods analyzed. In this way, the performance of different concepts will be investigated using real data from existing bridges and the practical suitability of the concepts will be validated. In addition, aggregated quality indicators to describe the condition of the bridge will be developed and localized in a structured data model to be integrated into the digital twin. Furthermore, a concept for extending the recalculation guideline for individual structural safety verifications is proposed.