Evidence map›Paper›PMID 41554831›Full record

ArticleScientific reports2026

Mechanical properties of landslide slip zone soil considering over consolidation ratio and particle grading factors.

Zhongxuan Chen, Meng Zhao, Shupeng Jiang, Qinwen Tan, Yuangang Ma, Yanzhe Li, Xiao Yang

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
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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

7 authors.

Zhongxuan ChenLaboratory of Engineering Oceanography, Second Institute of Oceanography, MNR, Hangzhou, 310012, Zhejiang, China.
Meng ZhaoWuhan Metro Group Co., Ltd., Wuhan, 430070, China. lovingpitt@foxmail.com.
Shupeng JiangSeventh Geological Brigade of Hubei Geological Bureau, Yichang, 443100, Hubei, China.
Qinwen TanBadong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, 430074, China. tanqinwen@cug.edu.cn.
Yuangang MaState Key Laboratory of Bridge Intelligent and Green Construction, Wuhan, 430050, China.
Yanzhe LiState Key Laboratory of Bridge Intelligent and Green Construction, Wuhan, 430050, China.
Xiao YangHubei Municipal Construction Group Co., LTD, Wuhan, 430070, China.

Funding

National Natural Science Foundation of China 42377181
6 · The paper itself

Abstract

A precise assessment of the mechanical characteristics of the slip zone is essential to implement the stability analysis of landslides. This article examines the mechanical properties of slip zone soil using large-scale direct shear tests and ring shear tests while taking into account the over consolidation ratio (OCR) and particle grading factors. The mechanism of soil particle behavior was examined from a macro-meso perspective to account for the mechanical characteristics observed from the tests. Further, the three determined groups of mechanical characteristics were employed in the landslide numerical model, respectively. The comparability between the simulative results and field monitoring data was examined, and then the suitability of the strength parameters to the landslide was explored. Results indicate that the landslide deformation and its mechanism can only be accurately described when the OCR of samples and the original particle gradation are considered. In this way, a superior technique for determining the soil in the slip zone is established, which has great significance for landslide modeling.

Indexed as

Macro-meso processOver consolidation ratioParticle gradingSlip zone soil

Identifiers

PMID41554831
PMCPMC12894841

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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.