Abstract This paper evaluates the strain-sensing ability of a nanoengineered hierarchical twill weave composite using multiscale numerical simulations. Piezoresistivity is incorporated in such composite by introducing carbon nanotubes (CNT) in the polystyrene (PSS) matrix so as to form a percolating microstructure. The glass fiber twill weave, which itself contains CNT-modified PSS matrix inside the yarns, is coated with thin film of such piezoresistive matrix to obtain the smart composite configuration. The methodology, presented in this paper, captures the hierarchical intricacies at multiple length scales and implements various mechanical damage mechanisms at subsequent interactive length scales as well as consequent electrical responses so as to yield macroscopic electromechanical response. The simulated responses show excellent correlation with experimental observations signifying the efficacy of the simulation methodology. Such a detailed multiscale approach can provide valuable insights towards tuning of structural hierarchies at multiple length scales for efficient design of smart woven laminated composites.

中文翻译：

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分层纳米工程智能斜纹编织复合材料的应变传感效率：使用多尺度数值模拟进行评估

摘要 本文使用多尺度数值模拟评估了纳米工程分层斜纹编织复合材料的应变传感能力。通过在聚苯乙烯 (PSS) 基体中引入碳纳米管 (CNT) 以形成渗透微结构，将压阻性结合到这种复合材料中。玻璃纤维斜纹织物本身在纱线内部含有 CNT 改性的 PSS 基体，并涂有这种压阻基体的薄膜，以获得智能复合结构。本文中介绍的方法在多个长度尺度上捕捉层次结构的复杂性，并在随后的交互式长度尺度上实施各种机械损伤机制以及随之而来的电响应，从而产生宏观机电响应。模拟响应显示出与实验观察的极好相关性，表明模拟方法的有效性。这种详细的多尺度方法可以为在多个长度尺度上调整结构层次提供有价值的见解，以有效设计智能编织层压复合材料。