We are paving the way for the digital transformation of engineering

The research areas of the Institute of Numerical Methods and Informatics in Civil Engineering cover the diverse field of applied informatics in civil and environmental engineering. The institute is a member of the profile area "Internet and Digitization" of the TU Darmstadt, the BIM-Cluster-Hessen, and the German Association of Computing in Civil Engineering.

Picture: Free-Photos (Pixabay)

Fields of research

- Building Information Modelling - Artificial Intelligence - Extended Reality - Serious Gaming - Sensor Technology - Environmental Modelling - Internet of Things - Semantic Web

Current research projects

Big Rail

Concept development of a semantically integrated BIM-GIS lifecycle model for rail infrastructure. A research project as part of the innovation alliance between Deutsche Bahn AG and TU Darmstadt.

Learn more

DABKO

In the DABKO research project, the IIB, together with partners from radiation physics and industry, is developing an optimised process for the decomposition of activated concrete structures in nuclear facilities. For this purpose, digital methods such as Building Information Modelling, simulations in game engines and optimisation algorithms are applied.

Learn more

DenkmalBIM

In the research project DenkmalBIM, the IIB, in collaboration with various practice partners, is developing a restoration process for heritage conservation. The goal is to develop a new BIM platform to cover the entire value chain of the restoration of existing buildings.

Learn more

INSITU

In the INSITU research project, a system for digitizing crime scene work is being researched in cooperation with the Federal Criminal Police Office and various other partners. The goal is to capture crime scenes spatially and semantically with different sensors and thus to create a digital crime scene sketch that can be used for investigation.

Learn more

KISStra

In the KISStra project, funded by the BMVI as part of the mFUND research initiative, the requirements for an AI-based indicator-backed safety audit for the road infrastructure are being investigated and the feasibility is tested using a prototype implementation.

Learn more

Research Training Group KRITIS

The Research Training Group “Critical Infrastructures: Construction, Function Failures, and Protection in Cities” (DFG Research Training Group 2222), established on October 1, 2016, at the Technical University of Darmstadt, brings together historians, infrastructure and spatial planners, civil engineers, philosophers, political scientists, architects and computer scientists.

Learn more

RessStadtQuartier

The RessStadtQuartier research project develops specific methods and instruments for municipal planning processes that can be used to implement measures to increase resource efficiency in all phases of neighborhood development. The focus here is on the existing building stock, which on the one hand represents society's largest resource depot and on the other hand accounts for a significant portion of energy demand.

Learn more

XRDispo

Development of extended reality (XR)-based methods for traffic disposition at DB Fernverkehr AG using haptic data glasses. A research project as part of the innovation alliance between Deutsche Bahn AG and TU Darmstadt.

Learn more

ZEKISS

The ZEKISS project, funded by the BMVI within the mFUND research initiative, deals with the interdisciplinary evaluation of sensor data in railroad traffic to record and evaluate the condition of the components vehicle and bridge. A predictive maintenance approach is being developed using methods of artificial intelligence.

Learn more