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Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach

Paper recorded by Signals 4 on 2026-09-03 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-03 on arXiv · recorded by Signals 4 on 2026-09-04

Category: cs.LG · 机器学习 · first seen 2026-09-04

Abstract

The geometric morphology of deposited filaments can significantly influence the structural performance and stability of 3D concrete-printed (3DCP) structures. However, most finite element (FEM)-based approaches for buildability assessment represent printed layers as simplified rectangles, potentially limiting predictive accuracy. This study proposes a geometry-informed modelling framework that int

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#137 most recent of 215 cs.LG papers we have recorded · ↑ newer: The Head Complexity of Boolean Functions in Single-Layer Attention · ↓ older: FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrai
Cite this page: Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach: the #137 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/influence-of-extruded-filament-shape-on-buildability-in-3d-concrete-printing-a-g.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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