Michael Raupach
Papers
3
Total Citations
14
H-Index
3
About
Michael Raupach is a leading figure in the digitisation of construction and the non-destructive diagnosis of reinforced concrete structures. His research bridges the gap between advanced sensing technologies and practical infrastructure maintenance, with a particular focus on Building Information Modelling (BIM) and automated structural health monitoring. A cornerstone of his work is the development of the BETOSCAN system, an instrumented mobile robot designed for the autonomous diagnosis of reinforced concrete floors. This innovation directly addresses the critical challenge of chloride-induced corrosion in structures like parking garages and bridge decks, enabling comprehensive surface assessment without destructive testing. While his most-cited papers, including "Quantified point clouds and enriched BIM-Models for digitalised maintenance planning" and the BETOSCAN publications, each hold around 5 citations, their impact lies in pioneering a methodology that integrates robotics, sensor data, and digital twins. Raupach’s contributions are foundational to the emerging field of digitalised maintenance planning, offering a scalable, data-driven approach to extending the lifespan of aging concrete infrastructure. His work continues to influence both academic research and practical engineering solutions for sustainable construction management.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3