Computational Design for Fibre Composite Building Systems

Research Project 12 (RP 12)

COMPUTATIONAL CO-DESIGN FOR FIBRE COMPOSITE BUILDING  SYSTEMS INCLUDING VISUAL ANALYTICS AND SIMULATION INTERFACES

Coreless winding of lightweight fibre composite systems enables highly differentiated placement of high-performance, load-bearing materials and creates new solution spaces for design and construction of lightweight fibrous structures.

In early design phases of such large-scale, coreless-wound fibre composite building systems, considerable effort is required to develop project-specific solutions due to the high complexity of interdependent parameters of design, construction and manufacturing demands. In addition, the need for physical prototypes and digital-physical iteration loops increases the workload and re-duces the depth of exploration. While multiple project-based computational solutions and tools have been developed, those were case-specific and used many assumptions to simplify the implementation and ensure computational tractability. Therefore, they cannot be directly transferred to general cases where the typology of the fibre network is not fully known in advance, or where the topology of fibre-fibre contact points cannot be predicted in advance. This reduces the design space to relatively simple typologies limited to the designer’s intuition and experience.

In order to process manifold interrelations within a multidisciplinary design and construction process, we aim to develop a framework of general design methods to make large fibre-based systems conceivable and extend the design space beyond structures based on experience and intuition, unlocking the full potential of coreless fibre winding. This framework should be aided by visual analytics tools, machine learning and optimization.



PRINCIPAL INVESTIGATORS

Prof. Achim Menges
Institute for Computational Design and Construction (ICD), University of Stuttgart
Prof. Dr. rer. nat. Daniel Weiskopf
Visualization Research Center (VISUS), University of Stuttgart
Prof. Dr. rer. nat. Marc Toussaint
Machine Learning and Robotics Lab (IPVS-MLR), University of Stuttgart

TEAM

Moataz Abdelaal (VIS)
Rebeca Duque (ICD)
Valentin Noah Hartmann (IPVS-MLR)
Fabian Kannenberg (ICD)
Long Nguyen (ICD)
Tobias Schwinn (ICD)



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