Evidence map›Paper›PMID 41577725›Full record

ArticleScientific reports2026

Identification of frame geometry and boundary conditions from free-vibration modal signatures.

Ali Karimi-Asrami, Ramazan-Ali Jafari-Talookolaei, Arman Mardani, Elyorjon Jumaev, Orifjon Mikhliev

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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.

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0citing papers in PubMed
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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

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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

5 authors.

Ali Karimi-AsramiSchool of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Ramazan-Ali Jafari-TalookolaeiSchool of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran. ramazanali@gmail.com.
Arman MardaniSchool of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Elyorjon JumaevUniversity of Business and Science, Gavhar Street, Chilanzar District, 100185, Tashkent, Uzbekistan.
Orifjon MikhlievFIE UzLITI Engineering LLC, 129B Amir Temur Street, 100099, Tashkent, Uzbekistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents an innovative approach for unveiling the hidden relationships between natural frequency patterns and structural parameters in grid-form frames. By analyzing vibrational characteristics, we determine key features, namely the number of vertical beams, boundary conditions, and aspect ratios. Extensive finite element analysis generates a dataset, mapping the natural frequencies as features against structural parameters as labels reveals distinct, streamlined clusters in the feature hyperspace, highlighting an underlying order in the system's dynamics. An advanced classification and interpolation model navigates these spectral trajectories to predict structural parameters accurately, even in the presence of damage or different materials. This study offers new insights into the intrinsic dynamics of complex structures, inviting further exploration into the subtle interplay between vibrational characteristics and structural identity. These findings open new avenues for research, potentially transforming the understanding of structural behavior in practical engineering applications.

Indexed as

Finite element methodFrame structureModal signatureStructural parameter estimation

Identifiers

PMID41577725
PMCPMC12835531

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.