Evidence map›Paper›PMID 41904219›Full record

ArticleScientific reports2026

A three-level discretization framework for dynamic behaviors of graphene-coated rotational blades with preset-angle sandwich structure under complex loads.

Bin Bai, Han Li, Xinian Yi, Jie Tang, Yulong Liu, Fuli Zhang, Zhichen Wang, Xinye Li

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Bin BaiSchool of Electronic Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China. baibin@126.com.
Han LiSchool of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, China.
Xinian YiSchool of Electronic Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China.
Jie TangNational Center of Standards Evaluation, State Administration for Market Regulation PRC, Beijing, 100088, China.
Yulong LiuSchool of Electronic Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China.
Fuli ZhangSchool of Electronic Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China.
Zhichen WangSchool of Electronic Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China.
Xinye LiSchool of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, China.

Funding

Hunan Province education and teaching reform key project HNJG-20231328National Natural Science Foundation in Hunan Province 2025JJ70031
6 · The paper itself

Abstract

To address the urgent demand for high-performance and durable rotational blades in turbomachinery, e.g., aero-engine turbine blades operating under harsh environments and complex pulse loads, this study proposes a novel rotational sandwich plate model with a pre-set angle for investigating the dynamic responses of rotational composite turbine blades with graphene coating layers under pulse loads to capture both structural stagger angle effects and layered reinforcement mechanisms. A unique three-level discretization method of Chebyshev-Ritz-Galerkin is established to overcome the solving difficulty of partial differential governing equations (PDGEs), efficiently transforming them into numerically solvable ordinary differential governing equations (ODGEs), a key innovation that addresses the convergence challenge of traditional finite element methods (FEM) under high-speed rotation and large deformation and that ensures high computational efficiency and accuracy. Based on the first-order shear deformation theory and Hamilton principle, the model comprehensively integrates rotational centrifugal effects, material anisotropy of graphene-reinforced composites, and geometric nonlinearity. Three typical pulse loads, that is, step load, sinusoidal load, air blast load are considered to mimic real-world extreme working conditions, e.g., bird strikes, gusts, ice impacts. The modified Halpin-Tsai micromechanical model is adopted to accurately characterize the effective material properties of graphene-reinforced composites coating layers, while a systematic parametric study is conducted to reveal the effects of blade aspect ratio, graphene platelet (GPL) geometry length-to-thickness ratio, GPL weight fraction, rotational speed, damping, and excitation parameters on dynamic responses with a special focus on the synergistic effect of GPL weight fraction and rotational speed. Meanwhile, the integration of multi-physical field loads and graphene reinforcement to fill the gap in dynamic modeling of graphene-reinforced composites-based rotational blades under pulse loads. This work provides a robust theoretical framework and quantitative design guidelines for optimizing rotational composite turbine blades with graphene coating layers with superior vibration suppression, impact resistance, and fatigue performance, advancing the engineering application of advanced composite materials in high-speed turbomachinery.

Indexed as

Chebyshev-Ritz-GalerkinComposite turbine bladesDynamicsGraphene plateletOrdinary differential governing equationPartial differential governing equationSandwich plate model

Identifiers

PMID41904219
PMCPMC13039292

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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.