Evidence map›Paper›PMID 42452051›Full record

ArticlePolymers2026

Constitutive Modeling of the Nonlinear Tensile Response of High-Strength Nanofiber Yarns Under Monotonic Loading.

Qingqing Shao, Jingyu Hu, Qiyu Wei, Jiqiang Cao, Yuanshu Xiao, Xiang Liu, Bo Xing, Xiakeer Saitaer

Abstract read
In one paragraph

Article in Polymers, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qingqing ShaoXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.
Jingyu HuXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.
Qiyu WeiKey Laboratory of Textile Science and Technology (Ministry of Education), College of Textiles, Donghua University, Shanghai 201620, China.
Jiqiang CaoXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.ORCID 0000-0002-8827-4764
Yuanshu XiaoXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.
Xiang LiuXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.
Bo XingXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.ORCID 0009-0006-6859-7642
Xiakeer SaitaerXinjiang Key Laboratory of Intelligent and Green Textile, College of Textiles & Clothing, Xinjiang University, Urumqi 830046, China.

Funding

Department of Science and Technology of Xinjiang Uygur Autonomous Region XJRC-2025-KJ-YJ-CXPT-076
6 · The paper itself

Abstract

High-strength nanofiber yarns exhibit pronounced nonlinear tensile responses arising from their hierarchical fibrous architecture, yet compact constitutive descriptions remain limited. Here, high-strength polyacrylonitrile nanofiber yarns were prepared by post-drawing as-spun yarns above the glass transition temperature, and their aligned, stacked morphology was confirmed by scanning electron microscopy. Monotonic tensile tests at different loading rates were used to quantify the rate-dependent stress-strain response. The tangent modulus derived from the tensile curve varied strongly with strain, confirming clear deviation from linear viscoelasticity. To capture this behavior, two effective models were established: a modified nonlinear three-element model and a structural four-element model incorporating a nonlinear elastic contribution. Closed-form stress-strain expressions were derived for constant strain-rate loading and fitted to experimental data using nonlinear regression. Both models reproduced the measured tensile curves with high accuracy over the investigated loading-rate range, with correlation coefficients close to unity and low fitting errors. The identified parameters were highly consistent between formulations, indicating functional equivalence for the present monotonic tensile dataset. These results provide a compact framework for characterizing and designing hierarchical polymer nanofiber yarns.

Indexed as

constitutive modelinghigh-strength nanofiber yarnsmonotonic loadingnonlinear tensile responseviscoelasticity

Identifiers

PMID42452051
PMCPMC13364444

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