今日更新:Composite Structures 5 篇,Composites Part B: Engineering 3 篇,Composites Science and Technology 1 篇
Constitutive identification of materials with different symmetry classes through a genetic algorithm
Marco Colatosti, Greta Ongaro, Marco Pingaro, Patrizia Trovalusci
doi:10.1016/j.compstruct.2025.119001
基于遗传算法的不同对称类材料本构识别
Composite materials play a primary role in many engineering applications. However, their mechanical description proves challenging because, at finer scales, they are characterised by the presence of significant heterogeneities in size and texture, which affect the macroscopic response of the materials. Classical continuum models are not always suitable for describing the macroscopic behaviour of such materials, especially when it is important to consider the microscopic level. To adequately address scale effects, several non-classical/non-local formulations have been proposed in the literature. Among these, the micropolar model, which is a non-local model of “implicit” type, has proven to be effective in representing the mechanical behaviour of anisotropic media, taking into account the arrangement, size, and orientation of particles. Within this context, this work focuses on modelling composites both as continuous and discrete systems, with the latter providing a finer description of the material. The aim of the study is to identify micropolar elastic constants of composite materials represented as rigid blocks and thin elastic interfaces. A heuristic optimisation approach based on the Differential Evolution algorithm is adopted to derive the constitutive micropolar parameters by exploiting the results of static and dynamic analyses performed on the discrete systems. The obtained results, for different material symmetry classes, indicate that the proposed strategies provide satisfactory outcomes, paving the way for experimental validation and potential engineering applications.
复合材料在许多工程应用中起着重要作用。然而,它们的力学描述证明是具有挑战性的,因为在更细的尺度上,它们的特点是在尺寸和质地上存在显著的异质性,这会影响材料的宏观响应。经典的连续体模型并不总是适用于描述这类材料的宏观行为,特别是当它是重要的考虑微观水平。为了充分解决规模效应,文献中提出了几种非经典/非局部公式。其中,微极模型是一种“隐式”非局部模型,已被证明可以有效地表征各向异性介质的力学行为,同时考虑到颗粒的排列、大小和取向。在这种背景下,这项工作的重点是将复合材料建模为连续和离散系统,后者提供了对材料的更精细的描述。研究的目的是确定以刚性块和薄弹性界面表示的复合材料的微极性弹性常数。采用基于差分进化算法的启发式优化方法,利用对离散系统进行的静态和动态分析结果,推导出本构微极参数。对于不同的材料对称类别,所获得的结果表明,所提出的策略提供了令人满意的结果,为实验验证和潜在的工程应用铺平了道路。
Simplified model for the tool-part interaction in spring-in of L-shape composite laminates
Shuang Yan, Mikhail Matveev, Wenxuan Qi, Nicholas Warrior
doi:10.1016/j.compstruct.2025.119022
l型复合材料层合板弹簧成形过程中刀具-零件相互作用的简化模型
Manufacturing of fibre-reinforced composites is often accompanied by process-induced distortions, primarily due to the anisotropy of the composites constituents (fibres and matrix), their thermo-chemical interactions, and the interaction between the composite and the tooling. Numerical models that account for these factors require extensive experimental material and process characterisation programmes before the models can be effectively used at the design stage. This paper presents experimental measurements of spring-in angles of L-shape IM7/8552 laminates cured on an aluminium mould. The curing process for L-shape laminates was simulated using the Cure Hardening Instantaneously Linear Elastic model. Tool-part interaction was characterised by fitting an analytical model to experimental measurements of warpage of flat laminates and modelled using boundary conditions designed to avoid the need for explicit modelling of the tooling. The spring-in angles predicted by the proposed simulation framework were within 0.5° of the experimental results for the range of geometries considered. The simulations provided insights into the effects of specimen design (corner radius, flange length, and lay-up) as well as tool-part interaction on the total spring-in angle. It was shown that tool-part interaction significantly contributes to the spring-in angle, particularly in specimens with larger flange lengths.
纤维增强复合材料的制造过程通常会伴随工艺引起的变形,这主要是由于复合材料的各向异性(纤维和基体)、它们的热化学相互作用以及复合材料与模具之间的相互作用所致。考虑到这些因素的数值模型在设计阶段有效使用之前,需要进行大量的实验材料和工艺特性表征工作。本文介绍了在铝模具上固化 L 形 IM7/8552 层合板的回弹角实验测量结果。使用固化硬化瞬时线弹性模型对 L 形层合板的固化过程进行了模拟。通过将分析模型与平板层合板翘曲的实验测量结果进行拟合来表征模具与零件之间的相互作用,并使用边界条件来模拟这种相互作用,从而避免了对模具进行显式建模的需要。所提出的模拟框架预测的回弹角与所考虑的几何形状范围内的实验结果相差在 0.5°以内。这些模拟为试样设计(圆角半径、法兰长度和铺层)以及模具与零件之间的相互作用对总回弹角的影响提供了见解。结果表明,模具与零件之间的相互作用对回弹角有显著影响,尤其是在法兰长度较大的试样中。
Differential evolution algorithm and artificial neural network surrogate model for functionally graded material homogenization and design
Marek Wojciechowski, Marek Lefik, Daniela P. Boso
doi:10.1016/j.compstruct.2025.119041
功能梯度材料均质与设计的差分进化算法与人工神经网络代理模型
In this paper, the differential evolution (DE) algorithm is employed to design functionally graded materials (FGMs). The design problem is formulated as a constrained optimization, where the objective function represents the global requirements of the macroscopic boundary value problem (BVPm), and the constraints account for the feasibility (or manufacturability) of the generic microstructure. During optimization, the local constitutive behavior of the material, such as the components of the anisotropic effective stiffness tensor, is derived using homogenization theory, which involves solving the microscopic boundary value problem (BVPµ). Both the macro and micro problems are solved using the finite element method. To accelerate computations, artificial neural networks (ANNs), trained with pre-computed homogenization data, are used as a surrogate homogenization model for the FGM optimization process. The examples presented demonstrate that using ANNs can reduce the optimization effort by several orders of magnitude, even when accounting for the computational cost of database preparation and ANN training. The proposed approach for designing FGMs has proven to be both efficient and reliable for the considered generic microstructure and example global problems. Moreover, the method is general enough to be applied to more complex microstructures and diverse global requirements.
本文将差分进化算法应用于功能梯度材料的设计。将设计问题表述为约束优化问题,其中目标函数代表宏观边值问题(BVPm)的全局要求,约束考虑通用微观结构的可行性(或可制造性)。在优化过程中,利用均质化理论推导材料的局部本构行为,如各向异性有效刚度张量的分量,这涉及到解决微观边值问题(BVPµ)。采用有限元方法解决了宏观问题和微观问题。为了加速计算,使用预先计算的均匀化数据训练的人工神经网络(ann)作为FGM优化过程的代理均匀化模型。给出的示例表明,即使考虑到数据库准备和人工神经网络训练的计算成本,使用人工神经网络也可以将优化工作量减少几个数量级。所提出的fgm设计方法已被证明是有效和可靠的,适用于所考虑的通用微观结构和示例全局问题。此外,该方法具有足够的通用性,可以应用于更复杂的微观结构和多样化的全局需求。
Discrete ply modelling of aeronautical intermediate-scale notched carbon fibre reinforced thermoplastic specimens subjected to multiaxial loading
José M. Guerrero, Christophe Bouvet, John-Eric Dufour, Joël Serra
doi:10.1016/j.compstruct.2025.119042
多轴载荷下航空中型缺口碳纤维增强热塑性试样的离散层数建模
Several finite element models developed at the mesoscale level are available for predicting the strength and failure progression of composite materials. However, this kind of damage models are commonly validated by comparing with typical coupon-scale testing specimens under uniaxial loading, which are not fully representative of aeronautical structures subjected to complex multiaxial loads. In this work, the Discrete Ply Model (DPM) is employed to reproduce intermediate-scale experimental tests carried out on carbon fibre reinforced thermoplastic samples, with a sharp central notch of 100 mm, tested in the VERTEX rig under tension, shear, and combined tension and shear loading. The tests show early buckling (particularly for the shear and combined cases) and development of post-buckling for almost the entire loading. The numerical results obtained demonstrate that the strengths, the fluxes as a function of the applied strains, deformed shapes, buckling modes, crack propagations and failure patterns are predicted with reasonable accuracy.
在中尺度水平上开发的几种有限元模型可用于预测复合材料的强度和破坏进程。然而,这种损伤模型通常是通过与典型单轴载荷下的试件对比来验证的,不能完全代表复杂多轴载荷下航空结构的损伤模型。在这项工作中,离散层合模型(DPM)被用来重现在VERTEX平台上进行的中等规模的实验测试,这些测试是在碳纤维增强热塑性塑料样品上进行的,中心缺口为100毫米,在拉伸、剪切和拉伸和剪切组合载荷下进行的。试验表明,在几乎整个加载过程中,早期屈曲(特别是剪切和组合情况下)和后屈曲的发展。数值计算结果表明,强度、流量随外加应变、变形形态、屈曲模式、裂纹扩展和破坏模式的变化规律具有较好的预测精度。
New analytical buckling solutions for non-Lévy-type graphene-reinforced composite laminated plates
Zixuan Wang, Dian Xu, Jinbao Li, Zhaoyang Hu, Guangping Gong, Rui Li
doi:10.1016/j.compstruct.2025.119067
非l<s:1>型石墨烯增强复合材料层合板的新解析屈曲解
This study explores the buckling behavior for non-Lévy-type graphene-reinforced composite (GRC) laminated thin and moderately thick plates, with novel analytical solutions derived. The material properties for GRC laminated plates are assessed through an extended Halpin-Tsai model, while the governing buckling equations are derived within a Hamiltonian framework. The difficulty of analytical solution caused by the non-Lévy-type boundary conditions (BCs) is addressed by using the symplectic superposition method. Three different graphene distributions along the thickness direction are considered. The analytical solutions in this study are well verified by the literature results or the finite element numerical results. Based on the solutions, a detailed discussion is performed on the quantitative relationships between the critical buckling loads and the modulus ratios, number of layers, aspect ratios, laying angles, graphene distribution forms, temperatures, width-to-thickness ratios, graphene volume fractions, and BCs.
本研究探讨了非l<s:1>型石墨烯增强复合材料(GRC)层合薄板和中厚板的屈曲行为,并推导出新的解析解。采用扩展的Halpin-Tsai模型对GRC层合板的材料性能进行了评估,并在哈密顿框架下推导了控制屈曲方程。利用辛叠加法解决了非l<s:1>型边界条件(BCs)所引起的解析解的困难。考虑了石墨烯沿厚度方向的三种不同分布。本文的解析解得到了文献结果或有限元数值结果的较好验证。在此基础上,详细讨论了临界屈曲载荷与模量比、层数、长径比、铺设角度、石墨烯分布形式、温度、宽厚比、石墨烯体积分数和bc之间的定量关系。
FFF-based 3D Printing Path Design of Interconnected Microchannel Network Inside Continuous Fibre-reinforced Composites for Thermal Manipulation
Nanya Li, Changkun Sun, Yongzhi Lu, Jiaming Zhang, Jidong Li
doi:10.1016/j.compositesb.2025.112391
基于fff的连续纤维增强复合材料内部互联微通道网络3D打印路径设计
Microchannel networks present remarkable advantages in the field of thermal management and significantly boost performance by augmenting the heat transfer capabilities of composite materials. In this study, a pioneering 3D printing path design technique based on FFF (Fused Filament Fabrication) is introduced. This innovative method enables the fabrication of microchannel networks within continuous fiber reinforced thermoplastic (CFRTP) composites without severing the fibers. Unlike traditional micro-drilling or wire embedding techniques, it has the potential to form elliptical holes with precisely oriented continuous fibers that conform to load transmission paths. Experimental results indicate that this approach can reduce the strain concentration factor of conventional circular holes by a substantial 70%. Additionally, the printing paths of multiple layers are synchronized to intricately construct interconnected and bifurcated Y-shaped microchannel networks. The integration of GaInTi liquid metal within these microchannels has led to a notable 49% enhancement in the thermal conductivity of CFRTP samples, even though the microchannel areas constitute only 1/1076 of the entire 700 mm2 testing area.
微通道网络在热管理领域表现出显著的优势,并通过增强复合材料的传热能力显着提高性能。在这项研究中,介绍了一种开创性的基于FFF(熔融长丝制造)的3D打印路径设计技术。这种创新的方法可以在不切断纤维的情况下在连续纤维增强热塑性塑料(CFRTP)复合材料中制造微通道网络。与传统的微钻或线嵌入技术不同,它具有形成椭圆孔的潜力,具有精确定向的连续纤维,符合负载传输路径。实验结果表明,该方法可将传统圆孔的应变集中系数降低70%以上。此外,多层打印路径同步,以复杂地构建互连和分叉的y形微通道网络。在这些微通道中集成了GaInTi液态金属,使得CFRTP样品的热导率显著提高了49%,尽管微通道面积仅占整个700 mm2测试区域的1/1076。
Optimization design of patterned rGO metasurface structures guided by electromagnetic simulation towards broadband electromagnetic wave absorption
Jiatong Li, Tian Li, Jiani Du, Jinzhe Li, Tinghao Liao, Fanbin Meng
doi:10.1016/j.compositesb.2025.112378
面向宽带电磁波吸收的电磁模拟引导下成型化氧化石墨烯超表面结构优化设计
The traditional approach to reducing the reflection loss (RL) of microwave absorption (MA) materials involves compositional design and microstructural design. Nevertheless, this method commonly struggles to attain the desired effective absorption bandwidth (EAB), consequently constraining its practicality. In the field of radar frequency electromagnetic waves, The comprehensive strategy of combining macroscopic structural design with material composition has been proven effective in achieving broadband absorption capacity. Herein, a patterned reduced graphene oxide (rGO) based metasurface structure through electromagnetic simulation guidance has been invented, which has the characteristics of lightweight, ultra wideband and efficient MA capability. Metasurface structure was designed by introducing homocentric square shape and cross shape into gradient structure, which were named as Top homocentric square-shaped structure (T-HS), Bottom cross-shaped type structure (B-CS) and Bottom homocentric square-shaped structure (B-HS). The impedance matching and attenuation capabilities were enhanced by mutual, multiple reflections and scattering among periodic units. Therefore, the materials attained more significant MA performance at the same thickness. The simulation results revealed that the structural designs adjust the resonance frequency, leading to the formation of dual absorption peaks at 9.29 GHz and 16.02 GHz, which significantly broadened the EAB to 10.49 GHz with the RL of −75.7 dB. Furthermore, The arch experimental test confirmed the effectiveness of patterned metasurface structure design, extending the EAB from 3.29 GHz to 12.85 GHz and the RLmax from −25.20 dB to −30.75 dB. The patterned rGO metamaterials hold great promise for application in broadband electromagnetic protection.
降低微波吸收材料反射损耗的传统方法包括成分设计和微结构设计。然而,这种方法通常难以获得所需的有效吸收带宽(EAB),从而限制了其实用性。在雷达频率电磁波领域,宏观结构设计与材料组成相结合的综合策略已被证明是实现宽带吸收能力的有效方法。本文通过电磁仿真制导,发明了一种基于图形化还原氧化石墨烯(rGO)的超表面结构,该结构具有轻量化、超宽带和高效毫微米性能等特点。在梯度结构中引入同心圆方形结构和十字形结构设计超表面结构,分别命名为顶部同心圆方形结构(T-HS)、底部十字形结构(B-CS)和底部同心圆方形结构(B-HS)。周期单元之间的相互、多次反射和散射增强了阻抗匹配和衰减能力。因此,在相同厚度下,材料获得了更显著的MA性能。仿真结果表明,结构设计调整了谐振频率,导致在9.29 GHz和16.02 GHz处形成双吸收峰,使EAB显着拓宽至10.49 GHz, RL为−75.7 dB。此外,拱形实验验证了图案化超表面结构设计的有效性,将EAB从3.29 GHz扩展到12.85 GHz, RLmax从- 25.20 dB扩展到- 30.75 dB。图案化氧化石墨烯超材料在宽带电磁防护中具有广阔的应用前景。
Combined Experiment and Simulation on Pore Structure of Graphene Aerogel for Microwave Absorption and Thermal Insulation
Guangyu Qin, Yanan Liu, Yuefeng Yan, Ziyan Cheng, Guansheng Ma, Kaili Zhang, Xiaoxiao Huang
doi:10.1016/j.compositesb.2025.112397
微波吸收保温用石墨烯气凝胶孔隙结构的联合实验与模拟
The configuration of pore structures is of paramount importance for the microwave absorption and thermal insulation of conductive aerogels. Nevertheless, design methodologies that rely on extensive experimental experience have limited the applicability of conductive aerogels in radar-infrared compatible stealth applications. In this study, finite element simulations of microwave absorption and heat transfer properties are conducted using a simplified two-dimensional model. The wave-absorbing and heat-insulating properties of graphene aerogel as influenced by the pore structure are accurately predicted. The preparation of foamed graphene aerogels with isolated pores was conducted using a surfactant foaming process, with the process guided by simulation predictions. The size, number, and spacing of the bubbles can be flexibly controlled to provide the aerogel with an appropriate density and porosity, which balances the contradiction between the high attenuation capability and the impedance-matching nature. This enables the foamed aerogel to achieve reflection loss of -75.5 dB and ultra-wide effective absorption bandwidth of 9.5 GHz. Furthermore, the low density and isolated pores bestow upon the aerogel material exemplary thermal insulation capabilities, which masked the radiant temperature of a hot object from 135°C to 50.8°C. This work offers novel insights and a theoretical foundation for the design of pore structures in radar-infrared compatible stealth aerogels.
孔隙结构的形态对导电气凝胶的微波吸收和保温性能至关重要。然而,依赖于大量实验经验的设计方法限制了导电气凝胶在雷达-红外兼容隐身应用中的适用性。在本研究中,采用简化的二维模型对微波吸收和传热特性进行了有限元模拟。准确预测了孔隙结构对石墨烯气凝胶吸波和隔热性能的影响。在模拟预测的指导下,采用表面活性剂起泡工艺制备了具有隔离孔的泡沫石墨烯气凝胶。可以灵活控制气泡的大小、数量和间距,为气凝胶提供合适的密度和孔隙度,平衡了高衰减能力和阻抗匹配性之间的矛盾。这使得泡沫气凝胶的反射损耗达到-75.5 dB,有效吸收带宽达到9.5 GHz。此外,低密度和孤立的孔隙赋予气凝胶材料典型的隔热能力,这掩盖了从135°C到50.8°C的热物体的辐射温度。这项工作为雷达-红外兼容隐身气凝胶的孔隙结构设计提供了新的见解和理论基础。
Thermally and magnetically tunable origami structures for electromagnetic wave absorption
Zhiyang Yin, Longyu Bai, Songze Li, Yaping Li, Jie Fu, Miao Yu, Song Qi
doi:10.1016/j.compscitech.2025.111154
用于电磁波吸收的热和磁可调折纸结构
Metamaterial absorbers (MMAs), through artificially engineered electromagnetic properties, overcome the limitations of traditional absorbing materials, demonstrating significant advantages in lightweight design, efficiency, and customization. By integrating various dynamic tuning mechanisms, the electromagnetic properties of metamaterials can be flexibly adjusted according to external conditions to meet the requirements of different operating scenarios. This study developed an origami-inspired tunable electromagnetic wave absorption structure using shape memory polymers (SMPs) containing flake-like carbonyl iron powder (FCIP) and reduced graphene oxide (RGO). The structural parameters of the origami unit cell were optimized using a genetic algorithm to enhance its absorption bandwidth. The origami structure has a total thickness of 3.40 mm in its planar state and can achieve bidirectional switching between planar and folded states under thermal and magnetic field activation. In the folded state, it achieves an effective absorption bandwidth of 14.40 GHz within the frequency range of 3.60–18.00 GHz. The results indicate that the absorber exhibits reconfigurable shape memory properties and excellent broadband absorption characteristics under thermal and magnetic fields, offering new directions for the design and application of microwave absorbers.
超材料吸波器(MMAs)通过人工设计电磁特性,克服了传统吸波材料的局限性,在轻量化设计、效率和定制化方面具有显著优势。通过集成各种动态调谐机制,可以根据外部条件灵活调整超材料的电磁特性,以满足不同操作场景的要求。本研究利用含有片状羰基铁粉(FCIP)和还原氧化石墨烯(RGO)的形状记忆聚合物(SMPs)开发了一种折纸式可调谐电磁波吸收结构。利用遗传算法优化折纸单细胞的结构参数,提高其吸收带宽。该折纸结构在平面状态下的总厚度为3.40 mm,在热和磁场激活下可实现平面和折叠状态的双向切换。在折叠状态下,在3.60-18.00 GHz的频率范围内实现了14.40 GHz的有效吸收带宽。结果表明,该吸收体具有可重构的形状记忆性能和良好的热和磁场下宽带吸收特性,为微波吸收体的设计和应用提供了新的方向。