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3D concrete printing

topic1 events
papersSEP 10 04:00 UTC

Deep Learning-FEM Approach Links Extruded Filament Shape to Buildability in 3D Concrete Printing

Researchers present a combined deep learning and finite element framework that factors in the real cross-sectional geometry of extruded concrete filaments when evaluating whether printed layers can bear the weight of subsequent ones. The work addresses a common limitation of existing buildability assessments, which typically rely on simplified filament shapes, potentially misjudging the stability of 3D-printed concrete structures.

deep-learning/3d-printing/construction/simulation