Collaborative Research: Nonlinear Mechanical Spectroscopy of Glassy Polymers to Probe Viscoelastic Constitutive Behavior

合作研究：玻璃态聚合物的非线性机械光谱学探测粘弹性本构行为

• 批准号: 1661246
• 负责人: Hongbing Lu
• 金额: $ 20.73万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661246&HistoricalAwards=false
• 关键词: Collaborative; Research; Nonlinear; Mechanical; Spectroscopy

This award supports research to characterize the nonlinear viscoelastic behavior of glassy polymers. Understanding the long-term mechanical behavior of glassy polymers is critical for assurance of the durability of glassy polymers in their use as stand-alone materials, or as matrix materials for advanced composites, in applications that require low-density and high specific strength materials, such as in automotive, sports, and aerospace industries. This project will take steps to address the challenge from a fundamental perspective using a novel nonlinear fingerprinting methodology that promises to bring important advances for development of premier products, hence benefiting US industry and society. In the past, the fingerprinting methodology has been used to characterize polymeric fluids. This award extends the method to polymer glasses, both through novel experiments and through appropriate nonlinear constitutive modeling and validation. The graduate students on the project will be trained in this cutting edge research, which involves experimental and computational mechanics of time-dependent materials, glassy polymer physics, and structure-property relations for engineering polymers. The project will also leverage STEM outreach programs at both Texas Tech University and University of Texas Dallas to excite K-12 students about science and engineering.Fundamental knowledge related to the nonlinear viscoelastic behavior of solid polymers will be pursued in this project. This requires a general scheme to classify the variety of observed behaviors and use these observations to challenge the relevant constitutive equations. The research will use the combined Large Amplitude Oscillatory Shear and Mechanical Spectral Hole Burning fingerprinting methodology to provide fingerprints of the nonlinear viscoelastic behavior of a series of glassy polymers and to challenge them against a set of nonlinear constitutive law predictions from several leading models from the literature. Not only will the work show that the method can be applied to glassy polymers, but by choosing to examine polymers with different degrees of heterogeneity, as estimated by the strength of the beta-relaxation, the method can differentiate among different types of nonlinear behavior and, in principle, determine how the details of the dynamic heterogeneity impacts the fingerprints and the constitutive model parameters. This provides an important advance in ideas of structure-property relations in the nonlinear mechanics of polymers. Furthermore, the work provides a critical evaluation of the fingerprinting paradigm, currently developed for shearing deformations in nonlinear fluids, by making measurements in non-volume preserving conditions, viz., tension and compression to develop material fingerprints as a function of said deformation geometries and comparing them to the shearing results.

该奖项支持表征玻璃聚合物非线性粘弹性行为的研究。了解玻璃态聚合物的长期机械行为对于确保玻璃态聚合物在需要低密度和高比强度材料的应用中用作独立材料或高级复合材料的基体材料的耐久性至关重要，例如汽车、体育和航空航天行业。该项目将采取措施，使用新颖的非线性指纹识别方法从根本上应对这一挑战，该方法有望为优质产品的开发带来重要进展，从而造福美国工业和社会。过去，指纹识别方法已被用来表征聚合物流体。该奖项通过新颖的实验以及适当的非线性本构建模和验证将该方法扩展到聚合物玻璃。该项目的研究生将接受这项前沿研究的培训，其中涉及时间依赖性材料的实验和计算力学、玻璃态聚合物物理学以及工程聚合物的结构-性能关系。该项目还将利用德克萨斯理工大学和德克萨斯大学达拉斯分校的 STEM 外展项目来激发 K-12 学生对科学和工程的兴趣。该项目将研究与固体聚合物非线性粘弹性行为相关的基础知识。这需要一个通用方案来对各种观察到的行为进行分类，并使用这些观察来挑战相关的本构方程。该研究将结合大振幅振荡剪切和机械谱孔燃烧指纹识别方法，提供一系列玻璃态聚合物的非线性粘弹性行为的指纹，并根据文献中几个主要模型的一组非线性本构定律预测来挑战它们。这项工作不仅表明该方法可以应用于玻璃态聚合物，而且通过选择检查具有不同异质性程度的聚合物（根据β弛豫的强度进行估计），该方法可以区分不同类型的非线性行为和原则上，确定动态异质性的细节如何影响指纹和本构模型参数。这为聚合物非线性力学中结构-性能关系的思想提供了重要进展。此外，这项工作还对目前为非线性流体中的剪切变形而开发的指纹识别范式进行了关键评估，通过在非体积保持条件下进行测量，即拉伸和压缩，以开发作为所述变形几何形状和函数的材料指纹。将它们与剪切结果进行比较。

项目成果

Modeling the Compressive Buckling Strain as a Function of the Nanocomposite Interphase Thickness in a Carbon Nanotube Sheet Wrapped Carbon Fiber Composite

• DOI: 10.1115/1.4044086
• 发表时间: 2019-10
• 期刊: Journal of Applied Mechanics
• 作者: Xuemin Wang;T. Xu;Rui Zhang;M. J. Andrade;Pruthul Kokkada;D. Qian;Samit Roy;R. Baughman;Hongbing Lu

The effect of blast overpressure on the mechanical properties of the human tympanic membrane

爆炸超压对人体鼓膜力学性能的影响

• DOI: 10.1016/j.jmbbm.2019.07.026
• 发表时间: 2019
• 期刊: Journal of the Mechanical Behavior of Biomedical Materials
• 影响因子: 3.9
• 作者: Liang, Junfeng;Smith, Kyle D.;Gan, Rong Z.;Lu, Hongbing
• 通讯作者: Lu, Hongbing

Mechanical properties of the Papio anubis tympanic membrane: Change significantly from infancy to adulthood

狒狒鼓膜的机械特性：从婴儿期到成年期发生显着变化

• DOI: 10.1016/j.heares.2018.10.010
• 发表时间: 2018
• 期刊: Hearing Research
• 影响因子: 2.8
• 作者: Liang, Junfeng;Smith, Kyle D.;Lu, Hongbing;Seale, Thomas W.;Gan, Rong Z.
• 通讯作者: Gan, Rong Z.

Controllable Preparation of Ordered and Hierarchically Buckled Structures for Inflatable Tumor Ablation, Volumetric Strain Sensor, and Communication via Inflatable Antenna

用于充气肿瘤消融、体积应变传感器和通过充气天线通信的有序和分层屈曲结构的可控制备

• DOI: 10.1021/acsami.8b19241
• 发表时间: 2019
• 期刊: ACS Applied Materials & Interfaces
• 影响因子: 9.5
• 作者: Wang Run;Liu Zhongsheng;Wan Guoyun;Jia Tianjiao;Zhang Chao;Wang Xuemin;Zhang Mei;Qian Dong;de Andrade Monica Jung;Jiang Nan;Yin Shougen;Zhang Rui;Feng Deqiang;Wang Weichao;Zhang Hui;Chen Hong;Wang Yinsong;Ovalle-Robles Raquel;Inoue Kanzan;Lu Hongbing;Fang
• 通讯作者: Fang

Structural response of 3D-printed rubber lattice structures under compressive fatigue

• DOI: 10.1557/s43579-021-00012-4
• 发表时间: 2021-02-17
• 期刊: MRS COMMUNICATIONS
• 影响因子: 1.9
• 作者: Hatamleh, Mohammad I.;Barrios, Carlos A.;Voit, Walter
• 通讯作者: Voit, Walter