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【新文速递】2024年6月6日复合材料SCI期刊最新文章

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今日更新:Composites Part B: Engineering 2 篇,Composites Science and Technology 1 篇

Composites Part B: Engineering

An efficient machine learning-based model for predicting the stress-strain relationships of thermoplastic polymers with limited testing data

Shengbo Ling, Zhen Wu, Jie Mei, Shengli Lv

doi:10.1016/j.compositesb.2024.111600

用有限的测试数据预测热塑性聚合物应力-应变关系的高效机器学习模型

Thermoplastic polymers used in aeronautical structures such as poly-ether-ether-ketone (PEEK) usually exhibit nonlinear stress-strain relationships, which can be usually predicted by the physical and phenomenological models. For different thermoplastic polymers, however, existing models may encounter difficulties in reasonably predicting the stress-strain relationships. By reasonably using experimental data, the machine learning-based model can accurately predict the stress-strain relationships. In this paper, an efficient machine learning-based model is built to predict the stress-strain relationships of thermoplastic polymers by using the Kriging model, where limited testing data are merely used. Experiments of 69 specimens for PEEK are firstly performed under uniaxial tensile, where the temperatures range from 23 °C to 140 °C and the strain rates range from 10-3 s-1 to 10-1 s-1. Genetic algorithm is employed to train the proposed model based on the stress-strain relationships obtained from experiments. Moreover, the results predicted by the proposed Kriging-based model are compared with those obtained from the DSGZ (Duan-Saigal-Greif-Zimmerman) model. The results indicate that the Kriging-based model possesses better accuracy, lower complexity, and better robustness than the selected model, because the prior estimation is introduced by the assumption of Gaussian stochastic processes. In addition, the proposed model is also applied to Poly-Propylene (PP), PEEK at high temperatures, and polycarbonate (PC), it can be found that the Kriging-based model can also predict the stress-strain relationships of other amorphous and semi-crystalline thermoplastic polymers.

用于航空结构的热塑性聚合物,如聚醚-醚-酮(PEEK),通常表现出非线性的应力-应变关系,通常可以通过物理和现象学模型来预测。然而,对于不同的热塑性聚合物,现有的模型在合理预测应力-应变关系时可能会遇到困难。通过合理利用实验数据,基于机器学习的模型可以准确预测应力-应变关系。在本文中,建立了一个高效的基于机器学习的模型,通过使用Kriging模型来预测热塑性聚合物的应力-应变关系,其中仅使用有限的测试数据。首先对69个PEEK试件进行单轴拉伸试验,试验温度范围为23℃~ 140℃,应变速率范围为10-3 s-1 ~ 10-1 s-1。基于实验得到的应力应变关系,采用遗传算法对模型进行训练。并与DSGZ (Duan-Saigal-Greif-Zimmerman)模型的预测结果进行了比较。结果表明,由于基于高斯随机过程的假设引入了先验估计,与所选模型相比,基于kriging的模型具有更高的精度、更低的复杂度和更强的鲁棒性。此外,所提出的模型也适用于高温下的聚丙烯(PP)、PEEK和聚碳酸酯(PC),可以发现基于kriging的模型也可以预测其他非晶和半晶热塑性聚合物的应力应变关系。


A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing

Milad Ramezankhani, Abbas. S.Milani

doi:10.1016/j.compositesb.2024.111597

序贯元迁移(SMT)学习以对抗物理信息神经网络的复杂性:应用于复合材料高压灭菌处理

Physics-Informed Neural Networks (PINNs) have gained popularity in solving nonlinear partial differential equations (PDEs) via integrating physical laws into the training of neural networks, making them superior in many scientific and engineering applications. However, conventional PINNs still fall short in accurately approximating the solution of complex systems with strong nonlinearity, especially in long temporal domains. Besides, since PINNs are designed to approximate a specific realization of a given PDE system, they lack the necessary generalizability to efficiently adapt to new system configurations. This entails computationally expensive re-training from scratch for any new change in the system. To address these shortfalls, in this work a sequential meta-transfer (SMT) learning framework is proposed, offering a unified solution for both fast training and efficient adaptation of PINNs in highly nonlinear systems with long temporal domains. Specifically, the framework decomposes PDE’s time domain into smaller time segments to create “easier” PDE problems for PINNs training. Then for each time interval, a meta-learner is assigned and trained to achieve an optimal initial state for rapid adaptation to a range of related tasks. Transfer learning principles are then leveraged across time intervals to further reduce the computational cost. Through a composites autoclave processing case study, it is shown that SMT is clearly able to enhance the adaptability of PINNs while significantly reducing computational cost, by a factor of 100.

物理信息神经网络(pinn)通过将物理定律集成到神经网络的训练中,在求解非线性偏微分方程(PDEs)方面得到了广泛的应用,使其在许多科学和工程应用中具有优越性。然而,对于具有强非线性的复杂系统,特别是长时间域的复杂系统,传统的pin神经网络在精确逼近解方面仍然存在不足。此外,由于pin被设计为近似给定PDE系统的特定实现,因此它们缺乏必要的通用性,无法有效地适应新的系统配置。这需要为系统中的任何新变化从头开始进行计算上昂贵的重新训练。为了解决这些不足,本文提出了一个顺序元迁移(SMT)学习框架,为长时域高度非线性系统中的pin n的快速训练和有效自适应提供了统一的解决方案。具体来说,该框架将PDE的时域分解为更小的时间段,从而为pin训练创建“更容易”的PDE问题。然后,对于每个时间间隔,分配并训练一个元学习器,以达到快速适应一系列相关任务的最佳初始状态。然后跨时间间隔利用迁移学习原理来进一步降低计算成本。通过复合材料热压罐加工案例研究表明,SMT明显能够增强pinn的适应性,同时显着降低计算成本,降低了100倍。


Composites Science and Technology

Transverse Cracking Signal Characterization in CFRP Laminates using Modal Acoustic Emission and Digital Image Correlation Techniques

Michal Šofer, Jakub Cienciala, Pavel Šofer, Zbyněk Paška, František Fojtík, Martin Fusek, Pavel Czernek

doi:10.1016/j.compscitech.2024.110697

 

基于模态声发射和数字图像相关技术的CFRP层合板横向裂纹信号表征

The process of formation and subsequent propagation of transverse cracks in 90o plies of carbon-fiber laminated composites was studied using modal acoustic emission approach and digital image correlation techniques. The results from modal acoustic emission approach, which included a newly developed processing tool for acoustic emission waveforms, provided information for identification and subsequent characterization or localization of signals originating from transverse cracking by analysis of the separated flexural and extensional Lamb wave modes in terms of their modal parameters. The digital image correlation method served as a verification tool of the acoustic emission data outputs in the terms of activity of significant localized events originating from the formation of the transverse crack in the 90oply. This made it possible to specify more locally the accompanying activity belonging to the formation or propagation of the magistral transverse crack. The manuscript also presents results related to the evolution of flexural/extensional wave modal parameters as the function of loading force for both [0/0/0/90]S and [90/0/0/0]S panels. It can be concluded that the detection of transverse cracks requires the need for applying a more complex acoustic emission data analysis methodology, while the standard parametric analysis, including the waveform peak frequency, is not sufficient. The presented methodology may serve as a basis for development of robust analysis tool capable of detecting the investigated phenomena.

采用模态声发射方法和数字图像相关技术研究了900层碳纤维层合复合材料横向裂纹的形成和后续扩展过程。模态声发射方法的结果,包括一个新开发的声发射波形处理工具,通过分析分离的弯曲和伸展Lamb波模态参数,为识别和后续表征或定位来自横向裂纹的信号提供了信息。数字图像相关方法可作为声发射数据输出的验证工具,用于验证源自90层横向裂缝形成的重要局部事件的活动性。这使得更局部地指定属于主横向裂缝形成或扩展的伴随活动成为可能。本文还介绍了[0/0/0/90]S和[90/0/0/0]S面板的弯曲/伸展波模态参数作为加载力函数的演变结果。可以得出结论,横向裂纹的检测需要应用更复杂的声发射数据分析方法,而包括波形峰值频率在内的标准参数分析是不够的。所提出的方法可以作为开发能够检测所研究现象的强大分析工具的基础。


来源:复合材料力学仿真Composites FEM
ACTSystem复合材料非线性通用航空UGUM裂纹材料试验Origin
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首次发布时间:2024-11-20
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【新文速递】2024年6月9日固体力学SCI期刊最新文章

今日更新:Journal of the Mechanics and Physics of Solids 1 篇,International Journal of Plasticity 1 篇,Thin-Walled Structures 2 篇Journal of the Mechanics and Physics of SolidsCorrelation between synthesis parameters and hyperelasticity of hydrogels: experimental investigation and theoretical modelingZhicheng Wang, Danming Zhong, Rui Xiao, Shaoxing Qudoi:10.1016/j.jmps.2024.105733合成参数与水凝胶超弹性的关系:实验研究与理论建模The mechanical properties of hydrogels are significantly influenced by synthesis parameters. Although the mapping from the space of synthesis parameters to the space of properties has been investigated experimentally, a quantitative theoretical framework is still lacking. In this work, the effect of synthesis parameters on the hyperelastic behaviors of hydrogels was experimentally studied. Subsequently, we conducted theoretical analysis by combining the constitutive model and polymer physics to quantify the correlation between synthesis parameters (the initial water content, current water content, and degree of cross-linking) and hyperelasticity (the elastic modulus, degree of entanglement, and stress-stretch ratio curve) of hydrogels. The internal relation between critical polymer content for entanglement and both the initial water content and degree of cross-linking arises from the scaling laws. By analyzing the critical polymer content for entanglement and comparing it with the current polymer content, hydrogels are categorized as either cross-linking-dominated or entanglement-dominated. The current study indicates that a low degree of cross-linking, i.e., a long-chain structure, is an important prerequisite for plenty of entanglements. Hydrogels with low cross-linking are highly entangled, whether they possess high initial water content/low current water content or low initial water content/high current water content. This work paves the way for the systematic design of synthesis parameters, thereby guiding the modulation and optimization of the overall mechanical properties and the application of hydrogels.水凝胶的力学性能受合成参数的影响较大。虽然已经对合成参数空间到性质空间的映射进行了实验研究,但仍然缺乏定量的理论框架。实验研究了合成参数对水凝胶超弹性行为的影响。随后,我们结合本构模型和高分子物理学进行理论分析,量化水凝胶的合成参数(初始含水量、当前含水量、交联度)与超弹性(弹性模量、缠结度、应力-拉伸比曲线)之间的相关性。缠结的临界聚合物含量与初始含水量和交联度之间的内在关系源于标度定律。通过分析导致缠结的关键聚合物含量,并将其与现有聚合物含量进行比较,将水凝胶分为交联为主和缠结为主两类。目前的研究表明,低交联度,即长链结构,是大量缠结的重要前提。低交联的水凝胶,无论是高初始含水量/低电流含水量,还是低初始含水量/高电流含水量,都是高度纠缠的。这项工作为系统设计合成参数铺平了道路,从而指导水凝胶整体力学性能的调制和优化以及水凝胶的应用。International Journal of PlasticityOnset of dynamic void coalescence in porous ductile solidsZ.G. Liu, W.H. Wong, T.F. Guodoi:10.1016/j.ijplas.2024.104019多孔延性固体中动态孔洞聚并的开始This paper investigates void growth and coalescence in porous ductile solids under dynamic loading condition. A physical definition for the onset of void coalescence in porous ductile solids under dynamic loading is proposed. The onset is deemed to occur when the third invariant of the tensorial form of the Hill–Mandel condition attains a zero value. The definition allows for systematic investigations on the effects of dimensionless stress rate κ and stress state, defined by the stress triaxiality T and Lode parameter L, on the onset of void coalescence via micromechanical analyses. The analyses reveal that the critical macroscopic effective strain for the onset of void coalescence displays an increasing–decreasing transition trend as the dimensionless stress rate increases, for all levels of T and L considered. The macroscopic effective strain at the transition is identified as the “ductile–brittle” transition strain. The dimensionless stress rate at which the transition strain occurs is found to be relatively constant. A mapping in the κ−T space for L=−1, representative of a generalized uniaxial tension typical in spall fracture experiments, is established which depicts regions where coalescence and non–coalescence can take place, as well as the ductile–brittle regions demarcated by a ductile–brittle transition curve. The results also show that the critical void volume fraction and macroscopic effective strain at the onset of void coalescence are insensitive to inertia at high stress triaxialities at L=−1.本文研究了动态加载条件下多孔韧性固体中的空隙增长和凝聚。本文提出了动态加载条件下多孔韧性固体中空隙凝聚开始的物理定义。当希尔-曼德尔(Hill-Mandel)条件的张量形式的第三个不变量达到零值时,即认为开始凝聚。根据这一定义,可以通过微观力学分析系统地研究无量纲应力速率 κ 和应力状态(由应力三轴度 T 和洛德参数 L 定义)对空洞凝聚开始的影响。分析表明,在考虑的所有 T 和 L 水平上,随着无量纲应力率的增加,空洞凝聚开始时的临界宏观有效应变呈现出由增到减的过渡趋势。过渡时的宏观有效应变被确定为 “韧性-脆性 ”过渡应变。过渡应变发生时的无量纲应力速率相对恒定。建立了 L=-1 的 κ-T 空间映射,代表了典型的剥落断裂实验中的广义单轴拉伸,描绘了可能发生凝聚和非凝聚的区域,以及由延性-脆性过渡曲线划分的延性-脆性区域。结果还表明,在 L=-1 的高应力三轴度条件下,空隙凝聚开始时的临界空隙体积分数和宏观有效应变对惯性不敏感。Thin-Walled StructuresThermal instability and vibration characteristics of laminated composite struts with Graphene reinforcements: An analysis of distribution patterns and geometrical imperfectionsS.F. Nikrad, A.H. Akbarzadeh, M. Bodaghi, M. Hamidinejad, Z.T. Chendoi:10.1016/j.tws.2024.112083石墨烯增强层压复合材料支撑的热不稳定性和振动特性:分布模式和几何缺陷分析This study explores the effect of local buckling on the compressive performance of slender structural elements, particularly those with thin-walled sections. The phenomenon of local buckling significantly reduces the axial compressive stiffness, leading to a notable decrease in the load-bearing capacity of these elements. The main goal of this research is to examine how the post-buckling characteristics of polymeric composite channel section struts can be improved under thermal loading by incorporating multi-layer graphene reinforcements. The solution methodology incorporates the von Karman geometrical nonlinearity and is based on the layerwise third-order shear deformation theory (LW-TSDT). To ascertain the precision and computational performance of the results derived from LW-TSDT, a three-dimensional (3D) finite element model is created in ABAQUS for comparative evaluation. An extensive analysis of nonlinear thermal instability in perfect and geometrically imperfect FG-GRC laminated channel section struts is undertaken to discern the graphene distribution patterns that are most and least effective in elevating the critical buckling temperature and natural frequencies through pre- and post-buckling conditions. The comparative analysis indicates that employing the FG-X graphene distribution pattern across the thickness of the web and flanges in channel section struts leads to a projected increase of 12% in the critical buckling temperature for clamped channel section struts, in contrast to those that adopt the FGO graphene distribution pattern. For cases with simply-supported boundary conditions, this increase is noted to be approximately 9%. Moreover, findings confirm that incorporating an asymmetric graphene distribution pattern (FGV) or introducing geometrical imperfections in the flanges and web that generate a bending moment within the structure from the beginning of thermal loading effectively prevents the primary natural frequencies of FG-GRC channel section struts from declining to zero close to the critical buckling temperature. This is significantly different from scenarios involving perfectly structured and symmetrically reinforced graphene distribution patterns such as FGX.本研究探讨了局部屈曲对细长构件,特别是薄壁构件抗压性能的影响。局部屈曲现象显著降低了轴向抗压刚度,导致这些构件的承载能力显著降低。本研究的主要目的是研究如何通过加入多层石墨烯增强材料来改善聚合物复合通道截面支板在热载荷下的后屈曲特性。求解方法结合了von Karman几何非线性,基于分层三阶剪切变形理论(LW-TSDT)。为了确定LW-TSDT结果的精度和计算性能,在ABAQUS中建立了三维(3D)有限元模型进行比较评价。本文对完美和几何不完美的FG-GRC层压通道截面支板的非线性热不稳定性进行了广泛的分析,以识别在屈曲前和屈曲后提高临界屈曲温度和固有频率方面最有效和最无效的石墨烯分布模式。对比分析表明,与采用FGO石墨烯分布模式相比,采用FG-X石墨烯分布模式的通道截面支板在腹板和法兰厚度上的临界屈曲温度预计提高了12%。对于具有简单支持边界条件的情况,这一增加约为9%。此外,研究结果证实,在法兰和腹板中加入不对称石墨烯分布模式(FGV)或引入几何缺陷,可以有效防止FG-GRC通道截面支撑的主要固有频率在接近临界屈曲温度时降至零。这与完美结构和对称增强石墨烯分布模式(如FGX)的情况有很大不同。Experimental and numerical investigations on the mechanical behaviour of large-span circular steel-concrete composite slabs for wind power towerLiang-Dong Zhuang, Mu-Xuan Tao, Ji-Zhi Zhao, Ke-Yang Yangdoi:10.1016/j.tws.2024.112107风电塔用大跨度圆形钢-混凝土组合板力学性能试验与数值研究Circular slabs as novel structural shapes offer excellent application possibilities for offshore wind power foundations. By applying a steel-concrete composite structure to a circular slab, steel consumption can be reduced, and the foundation span can be increased compared to steel structures. In addition, it further reduces the structural height and lightens the self-weight of the structure compared to concrete slabs. In this study, experimental investigations and theoretical analysis analyses were combined. First, four circular steel-concrete composite slab components were produced, and a quasi-static experimental study was conducted. Secondly, based on the elastic-plastic theory, the bearing capacity of the circular steel-concrete composite slab was theoretically derived, and the main parameters affecting the bearing capacity were determined. Finally, a finite element model of a circular steel-concrete composite slab was created and verified based on the test results. A parameter analysis was conducted on the circular composite slab to investigate the influence of factors such as the number of main beams, stiffening rib design, concrete strength, steel strength, and boundary conditions on the ultimate bearing capacity of the structure. A design method for this type of circular steel-concrete composite slab is summarised, which provides a theoretical basis and engineering recommendations for the application of this new type of structure.圆形板作为一种新颖的结构形式,为海上风电基础提供了良好的应用前景。通过在圆板上采用钢-混凝土组合结构,与钢结构相比,可以减少钢材消耗,并增加基础跨度。此外,与混凝土板相比,它进一步降低了结构高度,减轻了结构的自重。本研究采用实验研究与理论分析相结合的方法。首先,制作了4个圆形钢-混凝土组合板构件,进行了准静力试验研究。其次,基于弹塑性理论,对圆形钢-混凝土组合楼板的承载力进行了理论推导,确定了影响其承载力的主要参数;最后,建立了圆形钢-混凝土组合楼板的有限元模型,并根据试验结果进行了验证。对圆形组合楼板进行了参数分析,探讨了主梁数、加筋设计、混凝土强度、钢材强度、边界条件等因素对结构极限承载力的影响。总结了这种型钢-混凝土组合板的设计方法,为这种新型结构的应用提供了理论依据和工程建议。来源:复合材料力学仿真Composites FEM

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