今日更新:Composite Structures 3 篇,Composites Part A: Applied Science and Manufacturing 1 篇,Composites Part B: Engineering 1 篇
Effects of low-velocity impact on the quasi-static and fatigue performance of 3D woven composites
Jinzhao Huang, Tao Zheng, T.E. Tay, Licheng Guo, V.B.C. Tan, Enquan Chew, J.L. Liu
doi:10.1016/j.compstruct.2024.118395
低速冲击对三维机织复合材料准静态和疲劳性能的影响
This work investigates the static and fatigue degradation after low-velocity impact (LVI) and the corresponding mechanisms of 3D woven carbon/epoxy composites with a fiber volume fraction of 53 %. Drop weight tests employing impact energies ranging from 6 J to 20 J are performed to introduce damage to the specimens. Quasi-static tension tests after impact (TAI) and tension–tension fatigue tests after impact (FAI) are then carried out to study the post-impact behaviors. The results of TAI tests show that the residual strength decreases linearly by up to 62 % as impact energy increases to 20 J. Similarly, residual stiffness shows a linear decline with increasing impact energy until 15 J. However, as the impact energy increases to 20 J, the residual stiffness decreases significantly and deviates from linear decreasing trend due to the impact causing fiber breakage. The FAI test results show that LVI can reduce the fatigue life. But such an effect is limited for small loading levels. It is worth noticing that even slight impact damage can reduce the static and fatigue performance significantly. To understand the mechanisms behind it, the damage evolution in TAI and FAI tests is analyzed through the CT technique. The results show that even though low energy LVI does not cause fiber fracture, the stress concentrations induced by matrix cracking and delamination still reduce the uniformity of the internal stresses, thus causing fiber fracture in sequence and reducing the mechanical and fatigue performance of 3D woven composites.
本文研究了纤维体积分数为53 %的三维编织碳/环氧复合材料在低速冲击(LVI)后的静态和疲劳退化及其相应机制。采用冲击能量范围为6 J至20 J的落锤试验对试件进行了损伤。然后进行了准静态冲击后拉伸试验(TAI)和冲击后拉伸疲劳试验(FAI),研究了冲击后的行为。TAI试验结果表明,当冲击能量增加到20 J时,残余强度线性降低高达62 %。同样,残余刚度随着冲击能量的增加呈线性下降,直至15 J。然而,当冲击能量增加到20 J时,残余刚度明显减小,并偏离了冲击导致纤维断裂的线性减小趋势。FAI试验结果表明,LVI会降低疲劳寿命。但这种效果在小负荷水平下是有限的。值得注意的是,即使是轻微的冲击损伤也会显著降低静力和疲劳性能。为了了解其背后的机制,通过CT技术分析了TAI和FAI试验中的损伤演变过程。结果表明:即使低能量LVI不会导致纤维断裂,但基体开裂和分层引起的应力集中仍然降低了内应力的均匀性,从而导致纤维顺序断裂,降低了三维机织复合材料的力学和疲劳性能。
Plastic deformation behavior and energy absorption performance of a composite metamaterial based on asymmetric auxetic lattices
César Garrido, Gonzalo Pincheira, Rodrigo Valle, Jorge Fernández, Víctor Tuninetti
doi:10.1016/j.compstruct.2024.118410
基于非对称形变晶格的复合材料塑性变形行为及吸能性能
This study focuses on the design, behavior and experimental analysis of a novel metamaterial, consisting of an asymmetric auxetic three-dimensional structure (AATS) infused with polyester resin. Utilizing FDM additive printing, samples were created with customizable responses to compressive loads through varied design parameters. The objective is to surpass traditional material blending by enhancing stiffness and energy absorption. Striking a delicate balance, the AATS energy absorption properties are preserved while leveraging the stiffness of the resin. Despite its compact cubic form, not exceeding 27 mm on each side, this metamaterial showcases amplified characteristics, blending the AATS and polyester resin. The results hint at promising applications across military defense, automotive, aerospace sectors, and even potential replacements for articulated human skeletal components.
本文研究了一种新型超材料的设计、性能和实验分析,该材料是由注入聚酯树脂的不对称三维结构(AATS)组成的。利用FDM增材打印,通过不同的设计参数创建具有可定制的压缩载荷响应的样品。目标是通过增强刚度和能量吸收来超越传统的材料混合。在利用树脂刚度的同时,保持了AATS能量吸收特性,达到了微妙的平衡。尽管其紧凑的立方体形式,每边不超过27毫米,这种超材料展示了放大的特性,混合了AATS和聚酯树脂。研究结果表明,该技术在军事国防、汽车、航空航天领域的应用前景广阔,甚至可能替代人体骨骼的关节部件。
A novel damage localization technique for type III composite pressure vessels based on guided wave mode-matching method
Chaojie Hu, Xiaoli Fu, Yiwen Yuan, Biao Xiao, Maoxun Sun, Bin Yang
doi:10.1016/j.compstruct.2024.118414
基于导波模态匹配的III型复合材料压力容器损伤定位新方法
Damage monitoring during the service life of Type III composite overwrapped pressure vessels (COPVs) is crucial for ensuring their safe operation. This paper focuses on the damage localization in COPVs using ultrasonic guided waves structural health monitoring (SHM) techniques. Firstly, dispersion curves were plotted to establish a foundation for experiments and simulations based on the propagation theory of guided waves in multilayered anisotropic structures. Subsequently, a 3D finite element model of COPV was constructed to capture the propagation characteristics of guided waves within the COPV and their interaction with damage. The effects of different fiber angles and fiber layer numbers on guided waves propagation were analyzed, and their interrelationships were established. Furthermore, the “Wave Velocity Directionality” effect of the A0 mode was identified during its propagation in COPV. The monitoring signals obtained from experiments were analyzed to assess the impact of damage on the time-domain and frequency-domain signals of guided waves. Finally, a damage localization algorithm based on mode-matching was proposed, and its localization accuracy was verified in COPVs with different damage locations and fiber layer numbers. The results demonstrate the significant potential of the proposed damage localization algorithm in the damage monitoring of COPV structures.
在第三类复合材料包覆压力容器(COPV)的使用寿命期间进行损伤监测对于确保其安全运行至关重要。本文重点介绍利用超声导波结构健康监测(SHM)技术对 COPV 进行损伤定位。首先,根据导波在多层各向异性结构中的传播理论,绘制了频散曲线,为实验和模拟奠定了基础。随后,构建了 COPV 的三维有限元模型,以捕捉导波在 COPV 内的传播特性及其与损伤的相互作用。分析了不同纤维角度和纤维层数对导波传播的影响,并建立了它们之间的相互关系。此外,还确定了 A0 模式在 COPV 中传播时的 “波速方向性 ”效应。通过分析实验获得的监测信号,评估了损伤对导波时域和频域信号的影响。最后,提出了一种基于模式匹配的损伤定位算法,并在不同损伤位置和光纤层数的 COPV 中验证了该算法的定位精度。结果证明了所提出的损伤定位算法在 COPV 结构损伤监测中的巨大潜力。
Development of an electro-thermo-mechanical 4D printed multi-shape smart actuator: Experiments and simulation
R. Delbart, C. Robert, T. Quynh Truong Hoang, F. Martinez-Hergueta
doi:10.1016/j.compositesa.2024.108381
电-热-机械4D打印多形状智能执行器的研制:实验与仿真
This investigation presents an experimental and numerical approach to developing 4D printed multi-shape actuators with an integrated electrical self-triggering system. It employs a multifunctional shape memory carbon black Polylactic Acid (PLA) layer embedded within rubbery thermoplastic polyurethane (TPU). Notably, these thermo-responsive actuators are programmed and triggered using Joule’s effect, eliminating the need for an external heat source and enabling precise control of temperature gradients. Two distinct motion mechanisms are employed: the differences in thermal expansion coefficient between the PLA/TPU polymers below the glass transition temperature, and the shape memory effect of the PLA layer above the glass transition temperature. As a result, a diverse range of motion responses can be achieved by adjusting the potential differences. A coupled electro-thermo-mechanical finite element model is used to gain further insight into the motion mechanisms, offering predictive capabilities beyond the ones reported by previous models. The developed technology provides enhanced actuation capabilities to conventional bi-shape SMP actuators, offering a versatile range of bending cycles. Furthermore, Joule’s effect enables the implementation of closed-loop control systems, which is essential for developing autonomous robotic systems.
本研究提出了一种实验和数值方法来开发具有集成电自触发系统的4D打印多形状执行器。它采用了一种多功能形状记忆碳黑聚乳酸(PLA)层嵌入橡胶热塑性聚氨酯(TPU)。值得注意的是,这些热响应执行器使用焦耳效应进行编程和触发,从而消除了对外部热源的需求,并能够精确控制温度梯度。采用两种不同的运动机制:低于玻璃化转变温度的PLA/TPU聚合物之间的热膨胀系数差异,以及高于玻璃化转变温度的PLA层的形状记忆效应。因此,通过调整电位差可以实现不同范围的运动响应。一个耦合的电-热-机械有限元模型用于进一步深入了解运动机制,提供超出先前模型报告的预测能力。开发的技术为传统的双形状SMP执行器提供了增强的驱动能力,提供了多种弯曲循环。此外,焦耳效应能够实现闭环控制系统,这对于开发自主机器人系统至关重要。
3D crack recognition in Engineered Cementitious Composites (ECC) based on super-resolution reconstruction and semantic segmentation of X-ray Computed Microtomography
Zhexin Hao, Cong Lu, Biqin Dong, Victor C. Li
doi:10.1016/j.compositesb.2024.111730
基于超分辨率重建和x射线计算机微断层扫描语义分割的工程胶凝复合材料三维裂纹识别
Characterization of internal 3D crack morphology in Engineered Cementitious Composites (ECC) using X-ray Computed Microtomography (μ-CT) supports in-depth studies of ECC's post-cracking properties. However, it is challenging due to the need to minimize specimen size for improving precision and the difficulty in distinguishing fine cracks from pores/noise. This study develops a Transformer-based super-resolution model to enhance μ-CT voxel precision, from the perspective of Computer-Vision. State-of-the-art performance is achieved in both Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM). Further, a scenario-customized semantic segmentation model is built to realize pixel-wise recognition, confirming low errors compared to manual measurements. The proposed two-stage method facilitates μ-CT precision enhancement and 3D crack segmentation without human intervention, enabling reconstruction of 3D cracks in ECC with accurate width and detailed information. This approach provides the potential for automated, high precision quantitative analysis of multiple 3D cracks in ECC.
利用x射线计算机微断层扫描(μ-CT)表征工程胶凝复合材料(ECC)内部三维裂纹形态,为深入研究ECC的开裂后特性提供了基础。然而,由于需要最小化试样尺寸以提高精度,并且难以从孔隙/噪声中区分细微裂纹,因此具有挑战性。本文从计算机视觉的角度出发,开发了一种基于transformer的超分辨率模型,以提高μ-CT体素精度。在峰值信噪比(PSNR)和结构相似性指数测量(SSIM)中均实现了最先进的性能。此外,建立了一个场景定制的语义分割模型来实现逐像素识别,与手动测量相比,确认了较低的误差。该方法实现了μ-CT精度增强和三维裂缝分割,无需人工干预,实现了ECC中三维裂缝的重建,具有准确的宽度和详细信息。这种方法为ECC中多个三维裂缝的自动化、高精度定量分析提供了可能。