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自愈合水泥基复合材料中聚合物微胶囊的全局敏感性分析

Global Sensitivity Analysis for the Polymeric Microcapsules in Self-Healing Cementitious Composites.

作者信息

Zhou Shuai, Jia Yue, Wang Chong

机构信息

College of Materials Science and Engineering, Chongqing University, Chongqing 400045, China.

出版信息

Polymers (Basel). 2020 Dec 15;12(12):2990. doi: 10.3390/polym12122990.

DOI:10.3390/polym12122990
PMID:33333897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7765322/
Abstract

Cementitious composites with microencapsulated healing agents are appealing due to the advantages of self-healing. The polymeric shell and polymeric healing agents in microcapsules have been proven effective in self-healing, while these microcapsules decrease the effective elastic properties of cementitious composites before self-healing happens. The reduction of effective elastic properties can be evaluated by micromechanics. The substantial complicacy included in micromechanical models leads to the need of specifying a large number of parameters and inputs. Meanwhile, there are nonlinearities in input-output relationships. Hence, it is a prerequisite to know the sensitivity of the models. A micromechanical model which can evaluate the effective properties of the microcapsule-contained cementitious material is proposed. Subsequently, a quantitative global sensitivity analysis technique, the Extended Fourier Amplitude Sensitivity Test (EFAST), is applied to identify which parameters are required for knowledge improvement to achieve the desired level of confidence in the results. Sensitivity indices for first-order effects are computed. Results show the volume fraction of microcapsules is the most important factor which influences the effective properties of self-healing cementitious composites before self-healing. The influence of interfacial properties cannot be neglected. The research sheds new light on the influence of parameters on microcapsule-contained self-healing composites.

摘要

具有微胶囊愈合剂的水泥基复合材料因其自愈合优势而颇具吸引力。微胶囊中的聚合物壳层和聚合物愈合剂已被证明在自愈合方面有效，然而，这些微胶囊在自愈合发生之前会降低水泥基复合材料的有效弹性性能。有效弹性性能的降低可通过细观力学进行评估。细观力学模型中包含的大量复杂性导致需要指定大量参数和输入。同时，输入 - 输出关系中存在非线性。因此了解模型的敏感性是一项先决条件。提出了一种能够评估含微胶囊水泥基材料有效性能的细观力学模型。随后，应用一种定量全局敏感性分析技术——扩展傅里叶振幅敏感性测试（EFAST），来确定为提高对结果的置信度达到期望水平，知识改进需要哪些参数。计算了一阶效应的敏感性指标。结果表明，微胶囊的体积分数是影响自愈合水泥基复合材料自愈合前有效性能的最重要因素。界面性能的影响不可忽视。该研究为参数对含微胶囊自愈合复合材料的影响提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/62e2836952e1/polymers-12-02990-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/f353d5afd612/polymers-12-02990-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/bb8053e31cfd/polymers-12-02990-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/0800bf19d722/polymers-12-02990-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/b10d4ee1231b/polymers-12-02990-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/e83f844dbd34/polymers-12-02990-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/37ae5d265716/polymers-12-02990-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/d5bcec6dcc25/polymers-12-02990-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/029044963e9b/polymers-12-02990-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/62e2836952e1/polymers-12-02990-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/f353d5afd612/polymers-12-02990-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/bb8053e31cfd/polymers-12-02990-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/0800bf19d722/polymers-12-02990-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/b10d4ee1231b/polymers-12-02990-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/e83f844dbd34/polymers-12-02990-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/37ae5d265716/polymers-12-02990-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/d5bcec6dcc25/polymers-12-02990-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/029044963e9b/polymers-12-02990-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2287/7765322/62e2836952e1/polymers-12-02990-g009.jpg

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