Evidence map›Paper›PMID 41535712›Full record

ArticleScientific reports2026

Influence of a concrete lattice-vegetation composite revetment on levee slope stability based on an improved SWCC model.

Sheng Liu, Hao Gu, Feng Shen, Jin Li

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
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

4 authors.

Sheng LiuSchool of Civil Engineering, Wanjiang University of Technology, Maanshan, 243031, China. liusheng3131@163.com.
Hao GuWater Conservancy Development Research Center of Taihu Basin Authority, Shanghai, 200438, China.
Feng ShenSchool of Civil Engineering, Wanjiang University of Technology, Maanshan, 243031, China.
Jin LiSchool of Civil Engineering, Wanjiang University of Technology, Maanshan, 243031, China.

Funding

Ma'anshan Engineering Technology Research Center of Engineering Monitoring and Safety Monitoring GCJC25001the National Natural Science Foundation of China 52509144
6 · The paper itself

Abstract

To investigate the effects of the concrete lattice-vegetation composite revetment on levee slope stability, a new soil-water characteristic curve model was developed that incorporates vegetation root parameters, which incorporated the vertical distribution characteristics of the root system into the porosity calculation for the first time. The model's validity and accuracy were confirmed through laboratory tests. The proposed model was applied to analyze the stability of the Hongze Lake levee slope, which is protected by the composite revetment of concrete lattice and vegetation. Comparative analyses were conducted on slope displacement, seepage field, factor of safety, and plastic zone distribution under this composite revetment, and the reinforcement mechanisms of the composite revetment was revealed. Additionally, the influences of mean root diameter, root length density, and concrete lattice size on the performance of the composite revetment were examined. The results indicate that vegetations significantly enhanced the slope stability by reducing permeability and improving substrate suction, while concrete lattices primarily reinforced the slope through compression and confinement effects. The composite concrete lattice-vegetation revetment outperforms either component used alone. As root length density increased, the safety factor of the slope gradually rose and eventually stabilized. Conversely, the size of the concrete lattice was inversely proportional to the safety-factor ratio. As lattice size increased, its reinforcement effect diminished. These findings provide valuable insights for the design and parameter optimization of the combined revetment system.

Indexed as

Composite revetment structureConcrete latticePlant root systemsSlope stabilitySoil–water characteristic curves

Identifiers

PMID41535712
PMCPMC12881631

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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.