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]
Cooperation with Deutschen Bahn
Juan Gonzales Cavero has defended his master thesis with the title "Linking parametric design and structural analysis for the optimization of bridge cross sections" at the chair of Intelligent Technical Design at the 23rd April 2020. Final result of the thesis is an optmization framework, which allows the user to optimize parameters of a steel bridge, which has passed a practical evaluation. For improved supervising Deutsche Bahn Engineering & Cosulting, namely Dr.-Ing. Markus Reuter and Matthias Rauer, supported the work with their knowledge and data from practice. Scientific supervising has been carried out by Prof. Dr.-Ing. Christian Koch and M. Sc. Mathias Artus. This cooperation will be continued in the future.
