The world’s first 3D-printed steel bridge in Amsterdam is a groundbreaking example of how technology can revolutionize the construction industry. With over 100 sensors, the bridge collects data on loads, wind, air quality, and more, contributing to the creation of a ‘digital twin’ that continuously monitors its behavior. This innovative approach not only allows for real-time monitoring but also provides valuable insights for future design optimization and reduction of material use, leading to lower carbon emissions. The bridge serves as a living laboratory and a testbed for digital twins of public infrastructure. The adoption of this technology represents a significant step forward in the field of civil engineering and opens up new possibilities for performance-based design and maintenance.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| 3D-printed steel bridge | Reduce material use in structures | More structures will be 3D-printed, less material used | Advancements in 3D printing technology |
| Network of sensors and digital twin monitoring | Improved monitoring and refinement of designs | More structures will be continuously monitored and optimized | Data analytics and machine learning |
| Publicity stunt for MX3D | Increased support and partnerships | More companies and organizations will invest in innovative projects | Publicity and interest in emerging technologies |
| Measurement and monitoring in civil engineering | Performance-based design and maintenance | Structures will be designed and maintained based on measured data | Desire to improve efficiency and reduce costs |
| Strategic maintenance and future design | Reduced material use and CO2 emissions | Structures will be designed with less material and lower environmental impact | Data-driven optimization and cost savings |
| Creation of digital twins for infrastructure projects | Enhanced design and construction process | Digital twins will be created for every infrastructure project | Technological advancements and data analysis capabilities |
| Integration of real-time data into design models | Improved accuracy and predictability | Design models will be more accurate and reliable | Use of real-time data and generative design |
| Data-centric multidisciplinary approach | Transformation of bridge design and management | Bridges will be designed, constructed, and managed using a data-driven approach | Emphasis on data analysis and multidisciplinary collaboration |