Evidence map›Paper›PMID 40572889›Full record

ArticleMaterials (Basel, Switzerland)2025

A Surrogate Artificial Neural Network Model for Estimating the Fatigue Life of Steel Components Based on Finite Element Simulations.

Ela Marković, Tea Marohnić, Robert Basan

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

3 authors.

Ela MarkovićUniversity of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia.ORCID 0000-0002-3953-4582
Tea MarohnićUniversity of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia.ORCID 0000-0001-7829-9194
Robert BasanUniversity of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia.ORCID 0000-0002-3895-5051

Funding

Croatian Science Foundation IP-2020-02-5764Croatian Science Foundation "Young researchers' career development project-training of doctoral students"University of Rijeka uniri-iskusni-tehnic-23-302
6 · The paper itself

Abstract

A surrogate artificial neural network (ANN) model trained on the data generated from a computational finite element-based (FE-based) model is developed. The developed ANN model enables the estimation of the fatigue life (number of load cycles to failure) of component-like specimens with stress concentrators. Using the developed model, the component-specific

Indexed as

artificial neural networksfatigue lifefinite element analysissurface-hardened steel materials

Identifiers

PMID40572889
PMCPMC12195310

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.