Evidence map›Paper›PMID 39455698›Full record

ArticleScientific reports2024

Experimental study on mechanical properties of 3D Printed layered rock like materials.

Zijie Hong, Shun Chen, Xufeng Liu, Fengqiong Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Zijie HongSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Shun ChenSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Xufeng LiuState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, China. lxfbym@163.com.
Fengqiong LiPower China Kunming Engineering Corporation Limited, Kunming, 650000, Yunnan, China.

Funding

Henan Province Youth Talent Promotion Project 2023HYTP049the Central Plains Talent Program-Central Plains Young Top Talent Central Plains Young Postdoctoral Innovative talentthe National Natural Science Foundation of China 52304084the Natural Science Foundation of Henan Province 242300421246the State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering SDGZK2413
6 · The paper itself

Abstract

Layered rocks are prevalent in the Earth's crust and are frequently encountered in underground engineering construction. Due to their pronounced anisotropy, the deformation and failure mechanism of layered rock are complex. Laboratory tests are an effective way to study these mechanisms. However, natural layered rocks present challenges, such as difficult sampling and large discreteness. Additionally, current methods for creating layered rock models are often costly or lack precision, limiting research into their mechanical properties. In this study, a 3D printing process using wet material extrusion was adopted, with a wide range of material options and low production costs. Five layered model samples with bedding dip angles of 0°, 30°, 45°, 60° and 90° were printed using this method. Uniaxial compression tests were conducted, supplemented by digital image correlation (DIC) to capture detailed stress-strain data and failure patterns. The results demonstrate that the mechanical properties of the 3D-printed samples closely resemble those of natural layered rocks and exhibit significant anisotropy. This approach presents a new cost-effective method for studying the mechanical behavior of layered rock.

Indexed as

3D printingAnisotropyBedding dip anglesLayered rocksMechanical properties

Identifiers

PMID39455698
PMCPMC11511883

What OpenQuestion holds

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Registered trials

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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.