Digital Twin-based Construction Training
Beyond data visualization: Context-realistic construction equipment training simulators
Twinning for climate-resilient urban solutions
In this project, researchers explore the potential of Digital Twins to aid in the creation of sustainable urban development strategies by virtually representing the real world, including physical objects and processes. The study encompasses socio-spatial, administrative, and technical perspectives, with a focus on developing tools to describe, explain, and simulate urban development, ultimately mapping changes in urban green space and climate adaptation.
This research project involves a collaboration between VU Amsterdam and the University of Twente
This research project involves a collaboration between VU Amsterdam and the University of Twente
Digital Twins for South Africa
At the Johannesburg Digital Twin Technology Hackathon, prototypes for waste collection, road asset management, and social safety were designed by five students from the ET and ITC faculties. The positive reception of these prototypes underscores the potential for further development of the generated ideas in the future.
Arise - Getting insight into the biodiversity of the Netherlands
Biodiversity loss is one of the biggest threats to the survival of humanity. Therefore, there is an urgent need for better tools to monitor biodiversity. That is what the ARISE project aims to achieve: the construction of an infrastructure, the only one of its kind in the world, to identify and monitor all species of multicellular flora and fauna in the Netherlands.
EcoLogic - Towards sustainable construction logistics with a real-time Carbon Digital Twin
The project EcoLogic (Emission COntrol and Logistics Optimization for Green Infrastructure Construction) is an ambitious undertaking, aiming to make the Dutch construction logistics sector more sustainable and resilient by leveraging advanced IoT, AI, and real-time Carbon Digital Twin technologies.
PrimaVera
In PrimaVera, we create value by transforming the collected data from intelligent systems into predictions about the system’s health, by avoiding future failures through just-in-time maintenance, by doing maintenance exactly when and where needed, according to the specific needs of the system and according to its specifications.
Sublime - Increasing the reliability and circularity of large steel infrastructures
Large steel infrastructures (bridges, sheet piles, lock doors) degrade in time through corrosion and fatigue. The goals of this project are to increase the reliability and circularity of these infrastructures and to develop governance recommendations that operationalize technical knowledge.
Predictive digital twins will be developed that integrate structural health monitoring and prediction models. This enables a much longer – but safe – use of these infrastructures.
Predictive digital twins will be developed that integrate structural health monitoring and prediction models. This enables a much longer – but safe – use of these infrastructures.
Zorro - Preventing malfunctions with artificial intelligence
The Zorro project (Zero downtime in Cyber-physical systems) is dealing with Digital Twin technology and methodology to address the reliability and robustness of large-scale cyber-physical systems (CPS). While Intelligent Diagnostics have shown successes on small components, ZORRO aims to scale up this technology to tackle the sheer complexity of cyber-physical systems.