BioBuild RP4.1 – Complex Shape-Changing FRP

Associated Project 80

BIOBUILD RP4.1 – INTERMEDIATE LAYERS AND SECTIONS FOR COMPLEX SHAPE CHANGES IN FIBER-REINFORCED COMPOSITES

As part of the DFG Research Training Group GRK 3123 “BioBuild”, run jointly by the Universities of Stuttgart and Freiburg, this project develops fiber-reinforced composites that can perform complex, three-dimensional shape changes for responsive building envelopes. Fiber-reinforced polymers (FRP) are ideal for compliant, hingeless mechanisms, but their reinforcement normally limits deformation to simple, single-curvature bending.

RP4.1 overcomes this limitation by integrating elastically deformable areas and elastomeric intermediate layers into the composite, enabling non-developable geometries that adapt fully to changing sunlight and load conditions. The work studies two integration strategies: full-surface zones with differentiated stiffness between fiber-reinforced segments, and discrete elastomeric interlayers within the laminate. A particular focus lies on the material transition between the flexible elastomeric region and the stiff composite, which is critical for durability and fatigue. Experiments are complemented by a microplane-based numerical model (MASA) that predicts the interlaminar adhesion and the resulting deformation. By combining bio-inspired compliant mechanisms, tailored material systems – including bio-based resins – and predictive simulation, RP 4.1 provides the basis for actively controllable, energy-efficient and sustainable responsive façades.

PRINCIPAL INVESTIGATORS

Dr.-Ing. Larissa Born
University of Stuttgart, Institute for Textile and Fiber Technologies (ITFT)

Dr.-Ing. Serena Gambarelli
University of Stuttgart, Materials Testing Institute (MPA)

 

RESEARCHERS

Bedi Berk Karanlik (ITFT)
Saeid Saberi Alkouhi (MPA)

 

PARTNER

Prof. Dr. Laura Hartmann, University of Freiburg (livMatS)

FUNDING

The Research Training Group GRK 3123 “BioBuild – Bio-inspired Materials and Systems for Responsive Building Components” is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under RTG3123/1-543816109 and EXC2120/2-290831618.

    

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