Evidence map›Paper›PMID 41112676›Full record

ArticleJournal of tribology2025

Validation of a Multiscale Hysteresis Mechanics Model in Predicting Oily Shoe-Floor Friction Across Surfaces With Varying Finishes.

Henry Ing, Vimanyu Chadha, Anna B Randolph, Ky Reifler, Tevis D B Jacobs, Kurt E Beschorner

Abstract read
In one paragraph

Article in Journal of tribology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Henry IngDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 302, Pittsburgh, PA 15261.
Vimanyu ChadhaDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.
Anna B RandolphDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 302, Pittsburgh, PA 15261.
Ky ReiflerDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.
Tevis D B JacobsDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.
Kurt E BeschornerDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 302, Pittsburgh, PA 15261.

Funding

NIOSH CDC HHS R21 OH012126
6 · The paper itself

Abstract

Shoe-floor friction, quantified by the coefficient of friction (COF), is an important predictor of the risk of slip-and-fall accidents. There is a commonly used model of friction by B. Persson that describes viscoelastic dissipation due to hysteretic properties of rubber. Applied to shoe-floor friction, the model calculates the COF by using two primary inputs: (1) the multiscale surface topography of floor tiles and (2) the time-dependent material properties of the shoe rubber. While this theory is well accepted by many theoreticians and modelers, there is almost no direct experimental validation. Here, the model is tested by comparing against experimental measurements of COF using three different designs of shoes, ten different porcelain-tile floors, and canola oil as a contaminant. The results demonstrated that, while the model was predictive of trends, its values were too large by an average of 1050% when all scales of topography were included. However, this predictive power was improved (

Indexed as

bio-tribologyshoe-floor frictionslips, trips, and fallssurface roughness and asperitiessurface topography and roughnesstiresviscoelastic hysteresis modeling

Identifiers

PMID41112676
PMCPMC12534081

What OpenQuestion holds

Textmetadata
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.