Evidence map›Paper›PMID 41681164›Full record

ArticleMaterials (Basel, Switzerland)2026

Mesoscopic Heterogeneous Modeling Method for Polyurethane-Solidified Ballast Bed Based on Virtual Ray Casting Algorithm.

Yang Xu, Zhaochuan Sheng, Jingyu Zhang, Hongyang Han, Xing Ling, Xu Zhang, Luchao Qie

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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
–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

7 authors.

Yang XuRailway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.
Zhaochuan ShengSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, China.
Jingyu ZhangRailway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.
Hongyang HanRailway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.
Xing LingRailway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.
Xu ZhangSchool of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0001-7924-9527
Luchao QieRailway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a mesoscale modeling methodology for polyurethane-solidified ballast beds (PSBBs) that eliminates reliance on X-ray computed tomography (XCT) and addresses constraints in specimen size, capital cost, and post-processing complexity. The approach couples the Discrete Element Method (DEM) with the Finite Element Method (FEM). A high-fidelity discrete-element geometry is reconstructed from three-dimensional laser scans of ballast particles. The virtual-ray casting algorithm is then employed to identify the spatial distribution of ballast and polyurethane and map this information onto the finite-element mesh, enabling heterogeneous material reconstruction at the mesoscale. The accuracy of the model and mesh convergence are validated through comparisons with laboratory uniaxial compression tests, determining the optimal mesh size to be 0.4 times the minimum particle size (0.4

Indexed as

composite heterogeneous materialsDiscrete Element MethodFinite Element Methodmesoscopic modelingpolyurethane-solidified ballast bedsleeper width optimizationvirtual ray casting

Identifiers

PMID41681164
PMCPMC12898722

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.