Evidence map›Paper›PMID 39934249›Full record

ArticleScientific reports2025

An experimental study and prediction of dynamic deformation of wind turbine blade based on DIC.

Jing Jia, Liru Zhang, Wei Gao, Tong Qiu, YuQi Hou, Jianwen Wang

Abstract read
PubMed Full text at PMC Publisher
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. 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

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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

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.

Jing JiaCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China.
Liru ZhangCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China. zlr@imut.edu.cn.
Wei GaoHuaneng Urad Middle Banner New Energy Generation Co., Ltd, Bayannur, Inner Mongolia Autonomous Region, China.
Tong QiuCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China.
YuQi HouCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China.
Jianwen WangCollege of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China.

Funding

Basic Research Operating Expenses Program for Colleges and Universities directly under the Autonomous Region ZTY2024014Inner Mongolia Autonomous Region Colleges and Universities Directly Under the Direct Subsidiary of the Basic Research Operating Expenses Project JY20230096National Natural Science Foundation of China 52066013
6 · The paper itself

Abstract

Wind turbine blade deformation affects the ability of the blade to capture wind energy, and the dynamic deformation law of the actual wind turbine blade is unclear. This study constructs a wind turbine blade dynamic deformation measurement system based on DIC, investigates the blade dynamic deformation regularity, and fits a polynomial to predict the blade dynamic wave deformation. The results show that the modulus of elasticity of the blade determines the time required to calm the fluctuation after deformation, and the length of this time is negatively correlated with the modulus of elasticity of the blade. As the wind speed increases, the change in the amount of blade dynamic deformation is significant, and the degree of change in the maximum value increases. With the increase in rotational speed, the dynamic deformation of the blade tends to increase and then decrease. The sensitivity and interaction analysis are used to screen out the instability zones of blade elastic modulus, wind speed, and rotational speed. The accuracy of the blade dynamic fluctuation deformation prediction model is verified by experiments and error analysis, and the study's conclusions provide a reference for the design and safe operation of wind turbines.

Indexed as

Blade dynamic deformation characteristicsDICPredictionWind turbine

Identifiers

PMID39934249
PMCPMC11814189

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LicenceCC BY-NC-ND
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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.