Evidence map›Paper›PMID 35888457›Full record

ArticleMaterials (Basel, Switzerland)2022

Experimental Study on the Time-Dependent Characteristics of MLPS Transparent Soil Strength.

Xinzhe Que, Zhao Jin, Yixuan Hou, Yongchao Zhou, Yiping Zhang

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xinzhe QueCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China.
Zhao JinCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China.
Yixuan HouCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China.
Yongchao ZhouCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China.
Yiping ZhangCollege of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China.ORCID 0000-0001-8537-8181

Funding

National Natural Science Foundation of China 51579219
6 · The paper itself

Abstract

The time-dependent characteristics of transparent soil strength, composed of magnesium lithium phyllosilicate, is important for applying a thixotropic clay surrogate. The gas injection method was employed to obtain the strength, represented as cracking pressure, which was then correlated to variables including rest time, disturbance time, and recovery time. Three concentrations (3, 4, and 5%) were tested. The results show that the strength was directly proportional to the rest time, recovery time, and concentration while the disturbance time reversed. The calculated limit strengths for 3%, 4%, and 5% transparent soils were 3.831 kPa, 8.849 kPa, and 12.048 kPa, respectively. Experimental data also showed that the residual strength for higher concentration transparent soil was more significant than the lower ones. The elastic property immediately generated partial strength recovery after disturbance, while the viscosity property resulted in a slow recovery stage similar to the rest stage. The strength recovery rate was also sensitive to concentration. Furthermore, the strength with 3%, 4%, and 5% concentrations could regain limit values after sufficient recovery, which were calculated as 4.303 kPa, 8.255 kPa, and 14.884 kPa, respectively.

Indexed as

cracking pressuregas injection testinfluencing factorsstrength propertiestransparent soil

Identifiers

PMID35888457
PMCPMC9317852

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.