In-process reinforcement method for 3D-printed concrete layers

State-of-the-art methods for reinforcement of 3D printed concrete layers require manual intervention, cause poor bonding between concrete and reinforcement, or result in a disrupted concrete flow. This paper presents an automated reinforcement method. A printhead bifurcates the incoming concrete flow and merges the two streams near a tapered outlet, while a fiber mesh is fed from an integrated spool and embedded within the printed layer. Mesh reinforced concrete was printed along linear and curved paths. A greater path radius helped reduce out-of-plane distortion in the mesh (and concrete) along curvilinear paths. Compaction due to tapering in the printhead reduced amount of voids near mesh, and increased green strength and mesh pull-out force in the fresh state. Cubes extracted from printed beams exhibited strength comparable to mould-cast specimens. The presence of fiber mesh substantially enhanced the deformability of printed beams. • Developed a printhead to automatically reinforce concrete layers during printing. • Tapered end of printhead allowed effective integration of mesh within printer layers. • Intra-layer mesh reinforcement led to substantial increase in green strength. • Mesh reinforcement led to significant increase in the deformability of printed beams.

Authors

Institutions

Publication Details

Journal
Automation in Construction
Published
2026-04-21
DOI
https://doi.org/10.1016/j.autcon.2026.106958
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In-process reinforcement method for 3D-printed concrete layers

Chaman Modi, Krishna Siva Teja Chopperla, Manish Kumar
Automation in Construction
Innovations in Concrete and Construction Materials
article

In-process reinforcement method for 3D-printed concrete layers

Chaman Modi, Krishna Siva Teja Chopperla, Manish Kumar
article en

Abstract

State-of-the-art methods for reinforcement of 3D printed concrete layers require manual intervention, cause poor bonding between concrete and reinforcement, or result in a disrupted concrete flow. This paper presents an automated reinforcement method. A printhead bifurcates the incoming concrete flow and merges the two streams near a tapered outlet, while a fiber mesh is fed from an integrated spool and embedded within the printed layer. Mesh reinforced concrete was printed along linear and curved paths. A greater path radius helped reduce out-of-plane distortion in the mesh (and concrete) along curvilinear paths. Compaction due to tapering in the printhead reduced amount of voids near mesh, and increased green strength and mesh pull-out force in the fresh state. Cubes extracted from printed beams exhibited strength comparable to mould-cast specimens. The presence of fiber mesh substantially enhanced the deformability of printed beams. • Developed a printhead to automatically reinforce concrete layers during printing. • Tapered end of printhead allowed effective integration of mesh within printer layers. • Intra-layer mesh reinforcement led to substantial increase in green strength. • Mesh reinforcement led to significant increase in the deformability of printed beams.

Automation in ConstructionVol. 187
Indian Institute of Technology Gandhinagar (IN)
Indian Institute of Technology Gandhinagar, Department of Science and Technology, Ministry of Science and Technology, India
Sustainable cities and communities
Openalex Percentile: Top 8%
Innovations in Concrete and Construction Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.