Evidence map›Paper›PMID 41651925›Full record

ArticleScientific reports2026

Failure mechanism of a loess slope under extreme rainfall through a model test study of Shixiakou, Lanzhou.

Yanan Li, Yingmin Xin, Mingming Tong, Qiguang Zhu, Yanjun Hou, Guoxuan Ding, Jinwen Liu, Ping Liu

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.

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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

8 authors.

Yanan LiKey Laboratory of Mechanics on Disaster and Environment in Western China, College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, 730000, China.
Yingmin XinKey Laboratory of Mechanics on Disaster and Environment in Western China, College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, 730000, China.
Mingming TongKey Laboratory of Mechanics on Disaster and Environment in Western China, College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, 730000, China.
Qiguang ZhuKey Laboratory of Mechanics on Disaster and Environment in Western China, College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, 730000, China.
Yanjun HouInstitute of Geo-environmental Monitoring of Gansu Province , Lanzhou, 730050, China.
Guoxuan DingTechnology Innovation Center for Geohazard Monitoring and Early Warning in Gansu Province, Institute of Engineering Geology, Lanzhou, 730000, China.
Jinwen LiuInstitute of Geo-environmental Monitoring of Gansu Province , Lanzhou, 730050, China.
Ping LiuKey Laboratory of Mechanics on Disaster and Environment in Western China, College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, 730000, China. liuping@lzu.edu.cn.

Funding

Central Government's Science and Technology Development Guidance Fund for Local Areas Project 23ZYQA0326National College Students' Innovation and Entrepreneurship Training Program 202410730127Opening Fund of Technology Innovation Center for Geohazard Monitoring and Early Warning in Gansu Province 2024PT03-05Science and Technology Innovation Project of Department of Natural Resources of Gansu Province 202406Special Fund for Basic Scientific Research Business of Central Universities lzujbky-2024-ou03The 2023 Innovation Fund Project of Gansu Provincial Bureau of Geology and Mineral Exploration & Development 2023CX18
6 · The paper itself

Abstract

Loess landslides are one of the most important natural hazards among various landslide types in China, and rainfall is the main factor triggering loess slope instability. To gain deeper insights into the processes behind slope failure triggered by precipitation, this study conducted an indoor slope rainfall modelling test based on the case of the Shixiakou landslide in Jinzhou, Lanzhou. The test employed a custom-built rainfall simulation device, precisely controlling rainfall intensity and duration to mimic natural rainfall conditions. Soil moisture sensors, pore-water pressure transducers, and strain gauges were strategically installed within the loess slope model to monitor soil moisture dynamics, pore-water pressure variations, and lateral stress distribution in real-time. This investigation examined the progressive failure mechanism of loess slopes under rainfall infiltration through integrated monitoring. The experimental results demonstrate that sustained precipitation triggers a sequential failure process characterized by four distinct phases: initial surface scouring, subsequent basal slope instability, progressive mid-slope shear failure, and ultimate crown section collapse, and finally traction failure mode. It is worth noting that cracks play a crucial role in slope failure by creating preferential channels for water infiltration and subsequent failure development.

Indexed as

Failure modeFissure evolutionInstability mechanismLoess slopeRainfall induced

Identifiers

PMID41651925
PMCPMC12936053

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LicenceCC BY-NC-ND
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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.