Evidence map›Paper›PMID 40595836›Full record

ArticleScientific reports2025

Fractal theory-based analysis of strength degradation in steel slag powder-stabilized soil under chloride ion environment.

Niandong Deng, Yan-Kai Wu, Shixin Wang, Runmin Hao, Zaiyong Xiong, Daokuan Huang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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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

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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

6 authors.

Niandong DengSchool of Geology and Environment Engineering, Xi'an Science and Technology University, Xi'an, 710054, China.
Yan-Kai WuSchool of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China. ykwu@sdust.edu.cn.
Shixin WangSchool of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Runmin HaoSchool of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Zaiyong XiongSchool of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.
Daokuan HuangSchool of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China.

Funding

the Natural Science Foundation of Shandong Province (Grant No. ZR2022MD061).
6 · The paper itself

Abstract

To investigate the impact of chloride ion erosion in marine environments on the microstructure and macroscopic mechanical properties of solidified soil, this study combines fractal theory with image processing techniques to analyze the changes in cement-solidified soil (CS), steel slag powder + cement-solidified soil (SSP-CS), and activator-doped steel slag powder + cement-solidified soil (A-SSP-CS) under different ion erosion conditions. Erosion tests were conducted for 7 to 120 days using seawater, distilled water, and typical corrosive ions in seawater (Cl⁻, Mg²⁺), and the unconfined compressive strength (UCS) of the specimens was measured. Scanning electron microscopy (SEM) and OpenCV techniques were employed to process microstructural images of the specimens, extracting and calculating the fractal dimensions. The results show a strong correlation between UCS changes and fractal dimension variations for CS, A-SSP-CS, and SSP-CS under different erosion conditions. Fractal dimensions effectively characterize the influence of microstructural changes on macroscopic performance and can predict the strength evolution of solidified soils in various erosion environments, providing a scientific basis for improving the erosion resistance of marine solidified soils.

Indexed as

Chloride ions erosionFractal theorySolidified soilUnconfined compressive strength

Identifiers

PMID40595836
PMCPMC12219908

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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.