Evidence map›Paper›PMID 41387994›Full record

ArticleScientific reports2025

Dynamic characteristics and constitutive model of improved coarse-grained roadbed filler under traffic cyclic loading.

Weihong Wu, Bo Liang, Shiliang Shan, Tao Ouyang

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
–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

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.

Weihong WuZhongda Intelligent Technology Co., Ltd, Changsha, 410036, China. wuweihong@zdjtcm.com.
Bo LiangZhongda Intelligent Technology Co., Ltd, Changsha, 410036, China.
Shiliang ShanZhongda Intelligent Technology Co., Ltd, Changsha, 410036, China.
Tao OuyangZhongda Intelligent Technology Co., Ltd, Changsha, 410036, China.

Funding

the National Natural Science Foundation of China 5220834
6 · The paper itself

Abstract

Based on the orthogonal experimental design method, the dry density of each specimen of coal gangue roadbed filling was obtained by the compaction experiment. The maximum dry density of the sample was obtained as follows, fly ash 3%, lime 9%, water 12%, soil 5%. The larger hysteresis loop area indicates the bigger energy consumption of the specimen under a traffic load. The degree of damage to the specimen deepens as the dynamic strain increases, the hysteresis loop area gradually increases, and the damping ratio grows. The smaller hysteresis loop area occurs with the larger the confining pressure. The inclination degree of the long axis of the specimen first rapidly decreases and then tends to flatten with increasing dynamic strain. As the confining pressure of the specimen increases, the inclination degree of the long axis of the hysteresis loop gradually increases. As the dynamic strain increases, the non-closure degree of the hysteresis loop increases approximately linearly. The larger the amplitude of dynamic stress is, the greater the residual deformation generated by the roadbed filling material will be. With increasing confining pressure, the non-closure degree of the hysteresis loop decreases continuously. As dynamic strain increases, dynamic stress also increases. Under increasing confining pressure, the material's failure occurs at a higher level of dynamic stress. An improved Hardin-Drnevich model was introduced to express the relationship between dynamic stress and dynamic strain for coal gangue roadbed filling material under traffic cyclic loading conditions. Additionally, it is observed that the damping ratio diminishes with increasing dynamic strain and confining pressure.

Indexed as

Coal gangueDynamic characteristicHydration effectRoadbedTraffic load

Identifiers

PMID41387994
PMCPMC12800143

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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.