Evidence map›Paper›PMID 41714784›Full record

ArticleScientific reports2026

Development and justification of technical solutions for the design of a long-base flat car for the transportation of high-capacity containers.

Rustam Rahimov, Diyor Zafarov, Yakhyo Khurmatov

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
–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

3 authors.

Rustam RahimovFaculty of Railway Transport Engineering, Tashkent State Transport University, Tashkent, Republic of Uzbekistan. rakhimovrv@yandex.ru.ORCID http://orcid.org/0000-0002-5652-2604
Diyor ZafarovFaculty of Railway Transport Engineering, Tashkent State Transport University, Tashkent, Republic of Uzbekistan.ORCID http://orcid.org/0000-0003-0100-4815
Yakhyo KhurmatovFaculty of Railway Transport Engineering, Tashkent State Transport University, Tashkent, Republic of Uzbekistan.ORCID http://orcid.org/0000-0003-1092-3418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper deals with the current problems of developing and justifying technical solutions for the design of a long-base flat car for the transportation of high-capacity containers, which is associated with the need to improve the efficiency of container transportation under modern operating conditions. Based on the analysis of existing designs of flat cars, as well as the results of complex theoretical studies of the loading of their main components using modern engineering programs that implement the finite element method, an improved design of a long-base flat car is proposed and substantiated. The results of numerical modeling are confirmed by experimental studies conducted using the strain gauge method, which demonstrated a satisfactory correspondence between the calculated and experimental data. The developed design is characterized by improved technical and operational characteristics, reduced tare weight and increased load capacity by 1 ton, demonstrates a more uniform load distribution and increased durability under the considered loading conditions, which contributes to the competitiveness of the proposed flat car design. Thanks to the results obtained, at present, the car-building enterprises of the Republic of Uzbekistan have established the production of promising long-base flat cars, which contributes to improving the competitiveness of the proposed flat car design.

Indexed as

ExperimentFlat carFrameLoadingStrain gaugeStresses

Identifiers

PMID41714784
PMCPMC13018621

What OpenQuestion holds

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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.