Additive Manufacturing in Construction
AMC TRR 277

Focus Area Project: Project A 04

M. Sc. Anna Marie Opolka

is a doctoral researcher at the Institute for Machine Tools and Production Technology (IWF) at TU Braunschweig. She is specialized in robotic manufacturing processes, especially for additive manufacturing and supports the development for the processing of printed SC3DP elements within project A04.

Peikko Deutschland GmbH

Peikko Deutschland GmbH supports the TRR277 with its know-how and special production possibilities of connection and reinforcement systems. Particularly sub-project A04 deals with these topics and the integration of different components in the Shotcrete 3D printing process.

Ass. Prof. Dr. Mariana Popescu AMC-MERCATOR-FELLOW

AMC-Mercator-Fellow Asst. Prof. Dr. Mariana Popescu is from the TU Delft and within architectural design, her area of expertise is computational and parametric design with a focus on digital fabrication and sustainable design. Her extensive involvement research projects related to promoting sustainability has led to a multilateral development of skills, which combine the fields of architecture, engineering, computational design, and digital fabrication. More specifically, her research is centred around digitally fabricated stay-in-place formwork systems for complex concrete geometries using 3D-knitting techniques. Her interest in additive manufacturing technologies, structural efficiency, and fabrication with material effectiveness is closely related the research of TRR 277 Additive Manufacturing in Construction (AMC). In 2022, Mariana Popescu was appointed as AMC-Mercator-Fellow by the TRR 277 AMC in honor of her contribution to the AMC One of her contributions within the AMC was the joint development of a cross-university student summer school/ seminar between TU Munich, TU Braunschweig, and TU Delft in 2022 and 2023. The seminar aims to bridge fundamental principles of geometric computation and design and use these insights to develop new algorithms and tools for 3D shape generation, simulation, structural design, and manufacturing in design and engineering. Students joining from all three institutions are taught innovative computational design solutions for advanced manufacturing and construction at various scales through the development of a textile reinforced bridge demonstrator. The prototype combines digital from finding techniques, 3D knitted flexible formworks, and shotcrete 3D printing, thus bringing together researchers from several projects within the AMC (C06, A04, B04, C02, C03, C04). The cooperation with the AMC has made it possible to scale-up and automate a previously developed technique. This is an important contribution as it takes one step closer to being able to apply these methods in a real-world environment in terms of construction. Moreover, in bringing together researchers and teaching students from different universities and different faculties the completion of the prototype also proves the importance of cross-disciplinary collaboration and, importantly, the education of a new type of professional in the field of construction. Beyond this collaboration phase, new synergies have been created with researchers from the AMC and a sustained collaboration beyond the term of the fellowship is expected to emerge. In the short term this can be started through joint guidance of master thesis students. Finally, Within the remaining time of the collaboration in 2023, the aim is to distil the opportunities and challenges identified within the development of the prototype and develop a joint research grant proposal that would enable a sustained collaboration.
WordPress Lightbox
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful. Please visit our Privacy policy for further information.