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Andreas Sjölander is a lecturer and researcher at the Division of Concrete Structures at KTH Royal Institute of Technology. His research mainly focuses on risk assessment related to existing structures, particularly concerning cracks in concrete tunnel linings. He is actively involved in the TACK-II project, which aims to develop a semi-autonomous inspection method for tunnels, in collaboration with researchers from Geoinformatics at KTH and Sapienza University of Rome. Additionally, he participates in the PrintCrete collaborative project that investigates structural assessments of 3D-printed concrete structures. His work also extends to the SensIT project at Chalmers, where he works on integrating fiber-optic sensors with AI frameworks to establish predictive maintenance models for shotcrete linings. Furthermore, Andreas supervises a PhD student at Svensk Vattenkraft Centrum, focusing on failure modes in concrete buttress dams, including measuring ice loads on dams in Sweden using custom-designed large-scale panels.
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