Evidence map›Paper›PMID 39859723›Full record

ReviewMaterials (Basel, Switzerland)2025

Advancing Structural Reinforcement in 3D-Printed Concrete: Current Methods, Challenges, and Innovations.

Bo Nan, Youxin Qiao, Junjie Leng, Yikui Bai

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bo NanCollege of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0000-0001-9655-0485
Youxin QiaoCollege of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0009-0000-5087-3465
Junjie LengCollege of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0009-0005-7796-0370
Yikui BaiCollege of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0000-0003-2700-5576

Funding

Key Research and Development Program of Liaoning Province (2021JH210200022)
6 · The paper itself

Abstract

With rapid global urbanization and economic development, 3D concrete printing (3DCP) technology has emerged as an innovative construction method, garnering increasing attention and application. Compared to traditional construction techniques, 3DCP not only reduces resource waste and carbon emissions during the building process but also significantly enhances construction efficiency, demonstrating considerable potential in the construction industry. As 3DCP advances from theoretical studies to real-world applications, providing stable and reliable structural reinforcement solutions becomes essential. This paper focuses on examining various methods to improve the performance of 3D-printed concrete (3DPC) structures. The analysis shows that reinforcement using steel bars, in combination with other materials (mainly fibers and nanomaterials), remains a key strategy for structural enhancement. By integrating diverse reinforcement methods, this study proposes an innovative bidirectional steel mesh layout scheme. Additionally, given the unique nature of 3DPC construction, a critical review of various methods for improving interface bonding strength is included. These findings aim to guide the engineering community in selecting suitable reinforcement solutions for 3DPC.

Indexed as

3D-printed concretefiber reinforcementinterlayer adhesionnano-material reinforcementsteel reinforcement

Identifiers

PMID39859723
PMCPMC11766683

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.