The Chair of Intelligent Technical Design is concerned with the application of modern information and communication technology (ICT) during the design, the construction and the operation of civil infrastructure, such as buildings, bridges, tunnels, road and pipe networks. In this regard, we use methods of Building Information Modelling (BIM), Computer Vision and Machine Learning as well as Virtual and Augmented Reality to efficiently and sustainably inform decision makers.
"Intelligent Technical Design refers to a design approach that utilizes advanced technologies, such as artificial intelligence and machine learning, to optimize the design process and improve the performance, efficiency, and sustainability of building and infrastructure systems. It integrates data-driven insights, real-time performance monitoring, and machine learning algorithms into the design process to make informed decisions, automate manual processes, and reduce the risk of human error. The goal of Intelligent Technical Design is to create high-performing, sustainable, and efficient building and infrastructure systems." [ChatGPT, 2023]
New publication in Applied Sciences
In the 6th issue of the 12th volume of the journal "Applied Sciences", the article "A BIM Based Framework for Damage Segmentation, Modeling, and Visualization Using IFC" has been published.
Mathias Artus, Mohamed Alabassy and Christian Koch have published the article "A BIM Based Framework for Damage Segmentation, Modeling, and Visualization Using IFC" in Applied Sciences. The article describes a framework for generating defect geometries from photos and inserting the resulting geometry data into the BIM model. Additional semantic damage information is added to the model as well. The resulting model can be used for further inspection, analysis, or repair. As an example, the article explains the visualization of the model for the purpose of assessment.
