压阻效应
电阻抗断层成像
材料科学
电导率
电阻抗
流离失所(心理学)
纳米复合材料
压力(语言学)
复合材料
结构健康监测
电阻率和电导率
断层摄影术
电子工程
声学
电气工程
工程类
物理
光学
哲学
量子力学
语言学
心理治疗师
心理学
作者
Hashim Hassan,Tyler N. Tallman
摘要
Piezoresistive nanocomposites hold incredible potential for structural health monitoring (SHM). The electrical conductivity of these materials is influenced by strain, making them self-sensing. Electrical impedance tomography (EIT) is a low-cost, non-invasive method of imaging the internal conductivity distribution of a domain. To date, EIT has most often been used to detect damage. However, localizing incipient damage for failure prediction may situationally be a more useful capability from a SHM perspective. Herein, we explore the potential of EIT to identify stress concentration-induced conductivity changes in piezoresistive nanocomposites. First, a nanocomposite specimen with a circular hole is manufactured. Next, displacements are applied in small increments and boundary voltage data is collected after each increment of displacement such that conductivity images can be produced as the stress concentration intensifies. These results demonstrate that the proposed approach allows for accurate spatial localization of stress concentrations in deformed nanocomposites via EIT-imaged conductivity changes and therefore has potential to enable greatly advanced failure prediction capabilities.
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