Evidence map›Paper›PMID 40320461›Full record

ArticleScientific reports2025

A mathematical theory of elasticity for photoelastic experimental hybrid method.

Bruno R Mose, Dong-Kil Shin, Jeong Hwan Nam, B O Alunda

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.

Bruno R MoseSchool of Mechanical, Manufacturing and Materials Engineering, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya.
Dong-Kil ShinSchool of Mechanical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan, 38541, Gyeongsangbuk-do, South Korea. dkshin@yu.ac.kr.
Jeong Hwan NamDepartment of Mechanical System Engineering, Dongyang University, 145 Dongyangdaero, Punggi Yeongju, Gyeongbuk, 750-711, Korea.
B O AlundaSchool of Mines and Engineering, Taita Taveta University, Voi, Kenya.

Funding

National Research Foundation of Korea NRF-2018R1D1A1A09083672
6 · The paper itself

Abstract

In this paper, the mathematical theory of elasticity that enables the construction of representative stress functions for photoelastic experimental hybrid method (PEHM) is revisited and reviewed. PEHM has been shown as an important and powerful tool used by experimental stress analysts to predict the stress state in complex engineering structures. To demonstrate the utility of stress functions from the mathematical theory of elasticity in real engineering applications, the contact problem of a mechanical seal with a rectangular cross-section as well as a plate with a central hole are considered. It was found that when the stress functions are applied to the contact problem of a mechanical seal with rectangular cross section, the contact stresses on the upper side were larger compared to those on the front side. The highest stresses on the front side were concentrated in the region around the extrusion gap. When a comparison between theoretical and experimental stress concentration factors (SCF) was done, it was found that there was remarkable agreement between theoretical and experimental results. Therefore, the mathematical theory of elasticity from this study shows that it can provide stress functions that serve as an invaluable input tool to predict the SCF using the photoelastic experimental hybrid method.

Indexed as

Mechanical sealPhotoelastic experimental hybrid methodStress componentsTheory of elasticity

Identifiers

PMID40320461
PMCPMC12050326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.