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自报告纤维增强复合材料,模拟生物材料感知和报告损伤的能力。

Self-Reporting Fiber-Reinforced Composites That Mimic the Ability of Biological Materials to Sense and Report Damage.

机构信息

Adolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.

出版信息

Adv Mater. 2018 May;30(19):e1705483. doi: 10.1002/adma.201705483. Epub 2018 Mar 24.

Abstract

Sensing of damage, deformation, and mechanical forces is of vital importance in many applications of fiber-reinforced polymer composites, as it allows the structural health and integrity of composite components to be monitored and microdamage to be detected before it leads to catastrophic material failure. Bioinspired and biomimetic approaches to self-sensing and self-reporting materials are reviewed. Examples include bruising coatings and bleeding composites based on dye-filled microcapsules, hollow fibers, and vascular networks. Force-induced changes in color, fluorescence, or luminescence are achieved by mechanochromic epoxy resins, or by mechanophores and force-responsive proteins located at the interface of glass/carbon fibers and polymers. Composites can also feel strain, stress, and damage through embedded optical and electrical sensors, such as fiber Bragg grating sensors, or by resistance measurements of dispersed carbon fibers and carbon nanotubes. Bioinspired composites with the ability to show autonomously if and where they have been damaged lead to a multitude of opportunities for aerospace, automotive, civil engineering, and wind-turbine applications. They range from safety features for the detection of barely visible impact damage, to the real-time monitoring of deformation of load-bearing components.

摘要

在纤维增强聚合物复合材料的许多应用中,对损伤、变形和机械力的感知至关重要,因为它可以监测复合材料部件的结构健康和完整性,并在微损伤导致灾难性材料失效之前检测到微损伤。本文综述了仿生和仿生机理的自感知和自报告材料。例如,基于染料填充微胶囊、中空纤维和血管网络的瘀伤涂层和出血复合材料。压致变色环氧树脂或位于玻璃/碳纤维和聚合物界面处的机械变色团和力响应蛋白实现了颜色、荧光或发光的力致变化。复合材料还可以通过嵌入的光学和电学传感器(如光纤布拉格光栅传感器)或通过分散碳纤维和碳纳米管的电阻测量来感受应变、应力和损伤。具有自主感知是否以及在何处受损能力的仿生复合材料为航空航天、汽车、土木工程和风力涡轮机应用带来了多种机会。它们的范围从用于检测几乎不可见的冲击损伤的安全功能,到承载部件变形的实时监测。

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