Evidence map›Paper›PMID 40077293›Full record

ArticleMaterials (Basel, Switzerland)2025

Prediction of Bolt Loosening Life: A Practical Approach Considering Variable Amplitude Loading and Multi-Bolted Structures.

Min Yang, Seong-Mo Jeong, Seong-Gu Hong, Jae-Yong Lim

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. 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. Advances in Materials Joining and Additive Manufacturing.Materials (Basel, Switzerland) · 2026
    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

4 authors.

Min YangDepartment of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
Seong-Mo JeongDepartment of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
Seong-Gu HongConvergence Research Center for Meta-Touch, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea.ORCID 0000-0002-0368-348X
Jae-Yong LimDepartment of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.ORCID 0000-0001-7542-0155

Funding

National Research Foundation of Korea (NRF) 2021R1F1A1052053
6 · The paper itself

Abstract

Bolted connections are crucial in joining mechanical assemblies and ensuring the integrity and reliability of structural components. This study proposes a method for estimating bolt loosening life by practically applying material fatigue life prediction methods. First, the study employed the linear cumulative damage rule to predict the loosening life of single bolts under two-block loading conditions. Second, a test device with two bolt attachment points on a single structure was fabricated to model the multi-bolted structure, and tests were conducted. Finite element analysis (FEA) analysis was employed to identify vulnerable points. The loosening life of single bolts predicted using the linear cumulative damage rule exhibited enhanced accuracy within a ±1.2× error band compared with the experimental data despite variations in bolt types and test conditions. The FEA results for the multi-bolt structure demonstrated that the loosening life could be predicted by identifying vulnerable points and estimating the displacements. This study effectively predicts the bolt loosening life, offering valuable data for the reliability assessment of bolted structures.

Indexed as

bolt looseningbolt loosening lifedamage accumulationmulti-bolted structurestwo-block loading

Identifiers

PMID40077293
PMCPMC11901137

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.