Evidence map›Paper›PMID 37629938›Full record

ArticleMaterials (Basel, Switzerland)2023

Study on the Effect of Three Types of Calcium Sulfate on the Early Hydration and Workability of Self-Compacting Repair Mortar.

Hao Ding, Xuepeng Shen, Aili Chen, Rulin Gu, Ying Fang, Dongxu Li

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Hao DingCollege of Materials Science and Engineering, Nanjing Tech University, Nanjing 210009, China.
Xuepeng ShenCollege of Materials Science and Engineering, Nanjing Tech University, Nanjing 210009, China.
Aili ChenNanjing Kunchang New Material Co., Ltd., Nanjing 210000, China.
Rulin GuNanjing Kunchang New Material Co., Ltd., Nanjing 210000, China.
Ying FangCollege of Materials Science and Engineering, Nanjing Tech University, Nanjing 210009, China.
Dongxu LiCollege of Materials Science and Engineering, Nanjing Tech University, Nanjing 210009, China.
Nanjing Tech University · CN

Funding

A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions PAPDThe Science and Technology Plan Projects of Sichuan Province 2021YFSY0002
6 · The paper itself

Abstract

Despite having a high early mechanical strength and using sulfoaluminate cement as the primary cementitious material, self-compacting repair mortar (SCRM) suffers from rapid hydration rates leading to construction time constraints. This study examined how several forms of calcium sulfate, including hemihydrate gypsum, anhydrite, and dihydrate gypsum, affected SCRM's workability, hydration process, and microstructure. The outcomes demonstrated that adding hemihydrate gypsum sped up SCRM's early hydration rate and boosted its expansion rate. For a cement with 8% hemihydrate gypsum, 6 h after adding the water, the flexural strength and compressive strength increased by 39.02% and 34.08%, respectively. The hydration rate of SCRM can be efficiently delayed by dihydrate gypsum, although the result is subpar. The material exhibited the lowest fluidity loss in 20 min, the setting time was extended, and the 28-day flexural and compressive strengths were raised by 26.56% and 28.08%, respectively, after adding 8 percent anhydrite.

Indexed as

calcium sulfatecementettringiterepair mortar

Identifiers

PMID37629938
PMCPMC10456560
OpenAlexW4385877857

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.