Evidence map›Paper›PMID 40573006›Full record

ArticleMaterials (Basel, Switzerland)2025

Optimization of Hierarchical Groove-Perforation Structures in PET Foam Cores for Wind Turbine Blade Applications.

Jinlin Li, Gaojian Lin, Xiaowei Chen

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.

Jinlin LiSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0009-0006-2888-1155
Gaojian LinCGN New Energy Holding Co., Ltd., Beijing 100036, China.
Xiaowei ChenAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-9756-5232

Funding

National Key R&D Program of China 2023YFB4202902Research Fund of State Key Laboratory of Mechanics and Control for Aerospace Structures MCAS-E-0124Y03
6 · The paper itself

Abstract

To bridge the mechanical performance gap between polyethylene terephthalate (PET) foam cores and balsa wood in wind turbine blades, this study proposes a hierarchical groove-perforation design for structural optimization. A finite element model integrating PET foam and epoxy resin was developed and validated against experimental shear modulus data (α < 0.5%). Machine learning combined with a multi-island genetic algorithm (MIGA) optimized groove parameters (spacing: 7.5-30 mm, width: 0.9-2 mm, depth: 0-23.5 mm, perforation angle: 45-90°) under constant resin infusion. The optimal configuration (width: 1 mm, spacing: 15 mm, angle: 65°) increased the shear modulus by 9.2% (from 125 MPa to 137.1 MPa) and enhanced compressive/tensile modulus by 10.7% compared to conventional designs, without increasing core mass. Stress distribution analysis demonstrated that secondary grooves improved resin infiltration uniformity and interfacial stress transfer, reducing localized strain concentration. Further integration of machine learning with MIGA for parameter optimization enabled the shear modulus to reach 150 MPa while minimizing weight gain, achieving a balance between structural performance and material efficiency. This hierarchical optimization strategy offers a cost-effective and lightweight alternative to balsa, promoting broader application of PET foam cores in wind energy and other high-performance composite structures.

Indexed as

genetic algorithmgroove and perforatingoptimal designpet foam coreshear performance

Identifiers

PMID40573006
PMCPMC12195209

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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.