Evidence map›Paper›PMID 36614631›Full record

ArticleMaterials (Basel, Switzerland)2022

Experimental Investigation of the Performance of Corn Straw Fiber Cement-Stabilized Macadam.

Liming Wang, Pandeng Zhu, Zikun Song, Yunlong Wang, Chun Gong

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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. Article
  2. Article
  3. Article
  4. Article
  5. Properties of Ramie (Materials (Basel, Switzerland) · 2023
    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

5 authors.

Liming WangSchool of Civil Engineering, Northeastern Forestry University, Harbin 150040, China.
Pandeng ZhuSchool of Civil Engineering, Northeastern Forestry University, Harbin 150040, China.
Zikun SongSchool of Civil Engineering, Northeastern Forestry University, Harbin 150040, China.
Yunlong WangSchool of Civil Engineering, Northeastern Forestry University, Harbin 150040, China.
Chun GongSchool of Civil Engineering, Northeastern Forestry University, Harbin 150040, China.

Funding

National Natural Science Foundation of China U20A20315Research projects of Heilongjiang Transportation Investment Group JT-100000-ZC-FW-2021-0120
6 · The paper itself

Abstract

Recently, the application of plant fibers to improve the cementitious mix performance has attracted interest in the field of road materials owing to advantages of environmental protection and cost-effectiveness. As a planting crop, corn exhibits the advantages of being a more abundant resource with a wider distribution than those of other plant fibers. In this study, the effect of corn straw fiber on the properties of cement-stabilized macadam (5% cement) was investigated with the fiber length and content as variables. The test results revealed that the addition of a small amount of fiber marginally affects the compression density of cement-stabilized macadam. At a fiber length of 10 mm and a fiber content of 1%, the maximum increase in the compressive strength was 18.8%, and the maximum increase in the splitting strength was 35.4%. Moreover, at a fiber length of 15 mm and a fiber content of 1%, the shrinkage coefficient was reduced by 29%, and the crack resistance of cement-stabilized macadam was enhanced. In addition, the dry-wet cycle durability of cement-stabilized macadam was improved.

Indexed as

cement-stabilized macadamcracking resistancedry–wet cycle durabilityenvironmental protectionmechanical strengthstraw fiber

Identifiers

PMID36614631
PMCPMC9821891

What OpenQuestion holds

Textmetadata
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.