Evidence map›Paper›PMID 36295458›Full record

ArticleMaterials (Basel, Switzerland)2022

Experimental Study on the Influence of Different Factors on the Mechanical Properties of a Soil-Rock Mixture Solidified by Micro-Organisms.

Yongshuai Sun, Jianguo Lv, Ya Tuo, Guihe Wang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  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

4 authors.

Yongshuai SunCollege of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China.
Jianguo LvSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.
Ya TuoSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.
Guihe WangSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.

Funding

Beijing Natural Science Foundation 8214060National Natural Science Foundation of China 42107164
6 · The paper itself

Abstract

In this paper, we focus on the application of mechanical properties in a soil-rock mixture modified by microbial mineralization under the influence of different factors, including pH value, cementing solution concentration, and cementing time. Cementing fluids and samples with different pH values, calcium ion concentrations, and mineralization cementation were prepared. The process of urea hydrolysis MICP under different factors was studied. A solidified soil-rock mixture sample under triaxial compression was measured. Then, combined with scanning test methods, such as SEM and XRD, the influence of different factors on the mechanical strength and failure mode of the soil-rock mixture structure was analyzed from a microscopic point of view. The results show that a low concentration of cementing solution with a high concentration of bacteria liquid generated the highest calcium carbonate content and the strongest cementing ability. When the pH value of the cementation solution is six, the cementation effect between the pores is the best, and the deviatoric stress is stronger. When wet-curing samples, short or long curing time will adversely affect the strength of soil-rock mixture samples, the strongest curing and cementing ability is 5 days. The microscopic results show that the microbial mineralization technology fills the pores between the particles, and the interaction force between particles is enhanced to enhance the strength of the soil-rock mixture.

Indexed as

deviatoric stressMICPSEMshear strainsoil–rock mixturetriaxial compression testXRD

Identifiers

PMID36295458
PMCPMC9610585

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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.