Rijal Manoj, Amoateng-Mensah David, Sundaresan Mannur J
Department of Mechanical Engineering, North Carolina A & T State University,1601 E. Market Street, Greensboro, NC 27411, USA.
Materials (Basel). 2024 Dec 12;17(24):6085. doi: 10.3390/ma17246085.
Damage in composite laminates evolves through complex interactions of different failure modes, influenced by load type, environment, and initial damage, such as from transverse impact. This paper investigates damage growth in cross-ply polymeric matrix laminates under tensile load, focusing on three primary failure modes: transverse matrix cracks, delaminations, and fiber breaks in the primary loadbearing 0-degree laminae. Acoustic emission (AE) techniques can monitor and quantify damage in real time, provided the signals from these failure modes can be distinguished. However, directly observing crack growth and related AE signals is challenging, making numerical simulations a useful alternative. AE signals generated by the three failure modes were simulated using modified step impulses of appropriate durations based on incremental crack growth. Linear elastic finite element analysis (FEA) was applied to model the AE signal propagating as Lamb waves. Experimental attenuation data were used to modify the simulated AE waveforms by designing arbitrary magnitude response filters. The propagating waves can be detected as surface displacements or surface strains depending upon the type of sensor employed. This paper presents the signals corresponding to surface strains measured by surface-bonded piezoelectric sensors. Fiber break events showed higher-order Lamb wave modes with frequencies over 2 MHz, while matrix cracks primarily exhibited the fundamental S and A modes with frequencies ranging up to 650 kHz, with delaminations having a dominant A mode and frequency content less than 250 kHz. The amplitude and frequency content of signals from these failure modes are seen to change significantly with source-sensor distance, hence requiring an array of dense sensors to acquire the signals effectively. Furthermore, the reasonable correlation between the simulated waveforms and experimental acoustic emission signals obtained during quasi-static tensile test highlights the effectiveness of FEA in accurately modeling these failure modes in composite materials.
复合材料层压板中的损伤通过不同失效模式的复杂相互作用而演变,受载荷类型、环境和初始损伤(如横向冲击造成的损伤)影响。本文研究了正交铺层聚合物基复合材料层压板在拉伸载荷下的损伤扩展,重点关注三种主要失效模式:横向基体裂纹、分层以及主要承载的0度层中的纤维断裂。声发射(AE)技术能够实时监测和量化损伤,前提是这些失效模式产生的信号能够被区分。然而,直接观察裂纹扩展及相关声发射信号具有挑战性,这使得数值模拟成为一种有用的替代方法。基于裂纹增量扩展,使用适当持续时间的修正阶跃脉冲来模拟三种失效模式产生的声发射信号。应用线性弹性有限元分析(FEA)对作为兰姆波传播的声发射信号进行建模。通过设计任意幅度响应滤波器,利用实验衰减数据对模拟的声发射波形进行修正。根据所采用传感器的类型,传播波可以被检测为表面位移或表面应变。本文展示了与表面粘贴式压电传感器测量的表面应变相对应的信号。纤维断裂事件呈现出频率超过2 MHz的高阶兰姆波模式,而基体裂纹主要表现为频率高达650 kHz的基本S波和A波模式,分层则以主导的A波模式为主,频率成分低于250 kHz。这些失效模式产生的信号的幅度和频率成分随源 - 传感器距离显著变化,因此需要密集的传感器阵列才能有效获取信号。此外,在准静态拉伸试验期间获得的模拟波形与实验声发射信号之间的合理相关性突出了有限元分析在准确模拟复合材料中这些失效模式方面的有效性。