【新文速递】2025年3月6日固体力学SCI期刊最新文章

今日更新：Composite Structures 7 篇，Composites Part A: Applied Science and Manufacturing 1 篇，Composites Science and Technology 2 篇Composite StructuresDeeMa-Hub: Cloud-enabled semantic platform for data-driven multiscale co-design and co-simulation of composite materials and structuresSalim Belouettar, Mahdi Ben Amor, Bořek Patzák, Heng Hudoi:10.1016/j.compstruct.2025.118980DeeMa-Hub：支持云的语义平台，用于数据驱动的复合材料和结构的多尺度协同设计和协同模拟This paper presents DeeMa-Hub, a cloud-based microservices ecosystem designed to support collaborative research and decision making in composite materials design and manufacturing. DeeMa-Hub integrates data management, modeling, co-simulation, and decision-making functionalities into a cohesive collaborative platform. The architecture is organized into three main layers: the Data Layer, the Modeling and Simulation Layer, and the Collaborative Interface Layer, enabling efficient data handling, complex computational workflows, and team-driven processes. The platform’s cloud infrastructure, leveraging Microsoft Azure services, provides scalability, accessibility, and robust data security, accommodating the demands of high-performance composite materials simulations and data analysis. Central to the platform’s operation is the Modeling and Simulation Layer, managed by MuPIF (Multi-Physics Interoperability Framework), which supports interoperable, multi-scale adn multi-physical simulation workflows. This layer uses standardised APIs to handle diverse simulation models and data structures, ensuring integration with various simulation platforms and enabling workflow automation. The Collaborative Layer utilizes Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) frameworks to facilitate process management and decision logic, allowing users to collaboratively design and control workflows and decisions in real time. DeeMa-Hub’s cloud-deployed structure supports dynamic scaling, automated resource allocation, and high availability through Azure’s autoscaling and load balancing. The platform is equipped with Azure DevOps for continuous integration and deployment, enabling rapid updates. Through its structured, scalable design, DeeMa-Hub provides a secure, flexible environment for composite materials research, promoting collaborative, data-driven innovation.本文介绍了DeeMa-Hub，一个基于云的微服务生态系统，旨在支持复合材料设计和制造中的协同研究和决策。DeeMa-Hub将数据管理、建模、联合仿真和决策功能集成到一个内聚的协作平台中。该体系结构被组织成三个主要层：数据层、建模和仿真层以及协作接口层，支持高效的数据处理、复杂的计算工作流和团队驱动的过程。该平台的云基础设施利用微软Azure服务，提供可扩展性、可访问性和强大的数据安全性，满足高性能复合材料模拟和数据分析的需求。平台运行的核心是建模和仿真层，由MuPIF（多物理互操作性框架）管理，支持可互操作、多尺度和多物理仿真工作流。该层使用标准化的api来处理各种仿真模型和数据结构，确保与各种仿真平台集成并实现工作流自动化。协作层利用业务流程模型和符号（BPMN）以及决策模型和符号（DMN）框架来促进流程管理和决策逻辑，允许用户实时协作地设计和控制工作流和决策。DeeMa-Hub的云部署结构通过Azure的自动扩展和负载平衡支持动态扩展、自动资源分配和高可用性。该平台配备了Azure DevOps，用于持续集成和部署，实现快速更新。通过其结构化、可扩展的设计，DeeMa-Hub为复合材料研究提供了一个安全、灵活的环境，促进了协作、数据驱动的创新。A second-order multiscale reduced homogenization for nonlinear statistically heterogeneous materialsZhiqiang Yang, Zun Kong, Taijia Guo, Shanqiao Huangdoi:10.1016/j.compstruct.2025.119026非线性统计非均质材料的二阶多尺度简化均质化This work introduces an effective second-order multiscale reduced homogenization (SMRH) approach to analyze the nonlinear statistically heterogeneous materials. In these kinds of composites, the microscale information of particles, including their shapes, sizes, orientations, spatial distributions, volume fractions and so on, changes with position of the structures. At first, the micro-configurations of the heterogeneous structure with random distributions are briefly described. Then, the SMRH formulations for nonlinear problems are constructed, along with detailed statistical multiscale methods for statistically heterogeneous materials. The key characteristics of the new statistical multiscale methods include: (i) innovative reduced models designed to solve inelastic problems in random composites with significantly lower computational cost, (ii) high-order homogenized solutions that sidesteps the need for higher-order continuity in the macro solutions, and (iii) statistical high-order multiscale algorithms developed for investigating nonlinear statistically heterogeneous materials. Finally, several representative numerical examples are presented to validate the effectiveness of nonlinear random materials under different probability distribution models. The computational results clearly demonstrates that the statistical second-order multiscale reduced homogenization is valid for analyzing the nonlinear problems of statistically heterogeneous materials and proves beneficial for the development of random composites with multiscale arrangements.本文介绍了一种有效的二阶多尺度降均质化（SMRH）方法来分析非线性统计非均质材料。在这类复合材料中，粒子的微观尺度信息，包括它们的形状、大小、取向、空间分布、体积分数等，随着结构的位置而变化。首先简要描述了随机分布的非均质结构的微观形态。然后，构造了非线性问题的SMRH公式，以及统计非均质材料的详细统计多尺度方法。新的统计多尺度方法的关键特征包括：(i)创新的简化模型，旨在解决随机复合材料中的非弹性问题，计算成本显著降低；（ii）高阶均匀化解决方案，避免了宏观解决方案中对高阶连续性的需求；（iii）为研究非线性统计非均质材料而开发的统计高阶多尺度算法。最后，给出了几个有代表性的数值算例，验证了非线性随机材料在不同概率分布模型下的有效性。计算结果清楚地表明，统计二阶多尺度降阶均质化方法对于分析统计非均质材料的非线性问题是有效的，对发展具有多尺度排列的随机复合材料是有益的。Biaxial tension–torsion loading of plain weave composites: Determination of initial and final failure envelopes and associated damage mechanismsTao Zheng, Zhanguang Chen, Li Zhang, Zhongyu Wang, Yuhang Liu, Xinyang Sun, Shangyang Yu, Licheng Guodoi:10.1016/j.compstruct.2025.119032平纹编织复合材料的双轴拉伸-扭转载荷：初始和最终失效包层及相关损伤机制的测定In this paper, the mechanical properties and damage mechanisms of plain weave composites under biaxial tension–torsion loading are experimentally investigated by incorporating 3D digital image correlation (3D-DIC), optical microscopy and acoustic emission (AE). The experimental results exhibit that biaxial tension–torsion loading enhances the torsional stiffness while weakening the tensile failure load, presenting a significant tension–torsion coupling phenomenon. Moreover, the biaxial tension–torsion loading promotes matrix cracking/inter-fiber failure. Through clustering analysis, the damage signals acquired by AE can be classified into matrix cracking/inter-fiber failure, delamination and fiber fracture. A new damage-dependent analytic method for calculating the effective stresses in plain weave composites under biaxial tension–torsion loading is proposed and verified by experimental results. Combined with the initial damage determination of AE, 3D-DIC, and the proposed analytic method, the initial and final failure envelopes of plain weave composites under biaxial tension–torsion loading are determined. This study can provide effective guidance for stress field analysis and health monitoring of plain weave composites under biaxial tension–torsion loading.本文采用三维数字图像相关（3D- dic）、光学显微镜和声发射（AE）等方法，研究了平面编织复合材料在双轴拉伸-扭转载荷下的力学性能和损伤机理。实验结果表明，双轴拉扭加载增强了试件的扭转刚度，同时减弱了拉伸破坏载荷，呈现出明显的拉扭耦合现象。此外，双向拉伸-扭转载荷促进基体开裂/纤维间破坏。通过聚类分析，声发射获取的损伤信号可分为基体开裂/纤维间破坏、分层和纤维断裂。提出了一种计算双轴拉扭载荷作用下平纹编织复合材料有效应力的损伤相关分析方法，并通过实验验证了该方法的有效性。结合声发射、3D-DIC的初始损伤判定以及所提出的解析方法，确定了平面编织复合材料在双轴拉扭载荷作用下的初始和最终破坏包络。该研究可为双向拉扭载荷作用下平纹编织复合材料的应力场分析和健康监测提供有效指导。Recent progress in thermal structures: Materials, structures, and analysesS.P. Li, G.Q. Zuo, C.L. Zhang, C. Erasmo, W.Q. Chendoi:10.1016/j.compstruct.2025.119037热结构的最新进展：材料、结构和分析Thermal structures research has emerged as an important interdisciplinary field, involving heat transfer mechanisms, thermal protection systems, thermo-mechanical coupling phenomena, thermal energy storage technologies, and thermal management solutions across aerospace, electronic systems, and construction engineering applications. This comprehensive review systematically examines recent advancements in three key areas: (1) innovative heat-resistance material development, (2) advanced thermal structure designs, and (3) fundamental thermo-mechanical coupling mechanisms. The analysis specifically focuses on three representative material systems, demonstrating exceptional thermal performance: (1) functionally graded materials (FGMs) with spatially tailored properties, (2) hierarchically porous materials, and (3) next-generation reinforced composite materials. Furthermore, this review explores how geometric parameters of sandwich structure cores, including corrugated configurations, lattice topologies, and honeycomb geometries, significantly influence thermal conduction pathways and heat dissipation capabilities. From theoretical perspectives, this review introduces important theoretical analytical methods that examine the impact of temperature changes on the thermo-mechanical coupling behavior of structures. The differences between thermo-mechanical semi-coupled analysis and thermo-mechanical fully coupled analysis are also highlighted. This review emphasizes the importance of materials, structural designs, and analysis in engineering applications of thermal structures.热结构研究已成为一个重要的跨学科领域，涉及热传递机制、热保护系统、热-机械耦合现象、热能储存技术和热管理解决方案，涉及航空航天、电子系统和建筑工程应用。这篇全面的综述系统地考察了三个关键领域的最新进展：(1)创新的耐热材料开发，(2)先进的热结构设计，以及(3)基本的热-机械耦合机制。该分析特别关注三种具有代表性的材料系统，展示了卓越的热性能：(1)具有空间定制性能的功能梯度材料（fgm），(2)分层多孔材料，(3)下一代增强复合材料。此外，本文还探讨了夹层结构芯的几何参数，包括波纹结构、晶格拓扑结构和蜂窝几何形状，如何显著影响热传导途径和散热能力。本文从理论角度介绍了研究温度变化对结构热-力耦合行为影响的重要理论分析方法。强调了热-机械半耦合分析与热-机械全耦合分析的区别。本文综述了热结构材料、结构设计和分析在工程应用中的重要性。On flexural behavior of 3D-printed continuous hybrid fiber reinforced composites: Experimental and multiscale modeling studyXi-Ao Cao, Guohua Zhu, Zhen Wang, Xuan Zhaodoi:10.1016/j.compstruct.2025.1190343d打印连续混杂纤维增强复合材料的弯曲性能：实验和多尺度模型研究3D-printed continuous hybrid fiber reinforced composites (cHFRC) present great advantages in terms of balanced design between material cost, weight reduction, and mechanical properties. Nevertheless, the lack of an effective design methodology has so far limited its large-scale application. This paper aims to provide a high-fidelity multiscale modeling strategy for 3D-printed cHFRC and achieved a micro-meso-macro matched optimization design. Specifically, several carbon fiber/glass fiber hybrid 3D-printed laminates were prepared for bending tests to explore the effects of hybrid ratio and stacking sequences on the bending performance. Subsequently, a novel multiscale model based on the micromechanical damage (MMF) theory was developed to investigate the deformation modes and energy absorption mechanisms of 3D-printed cHFRCs. Based on the validated multiscale model, the effects of micro-scale design variables on the macroscale structural performance were further investigated. Finally, a discrete optimization design was carried out to improve the bending performance of 3D-printed cHFRC laminates. The results indicated that increasing the proportion of carbon fibers could improve the flexural strength and modulus of the 3D-printed cHFRC specimens. It was also found that the specimens were more likely to exhibit better flexural properties when the carbon fiber layer was located at the topside. This study not only reveals the flexural mechanical response and energy absorption mechanism of 3D-printed cHFRC laminates, but also realizes their multiscale collaborative optimization.3d打印连续混合纤维增强复合材料（cHFRC）在材料成本、重量减轻和机械性能之间的平衡设计方面具有很大的优势。然而，迄今为止，缺乏有效的设计方法限制了其大规模应用。本文旨在为3d打印cHFRC提供高保真的多尺度建模策略，并实现微-中观-宏观匹配优化设计。具体而言，制备了几种碳纤维/玻璃纤维混杂3d打印层压板进行弯曲试验，探讨混杂比和堆叠顺序对弯曲性能的影响。随后，基于微力学损伤理论建立了一种新的多尺度模型，研究了3d打印cHFRCs的变形模式和能量吸收机制。在验证的多尺度模型基础上，进一步研究了微观尺度设计变量对宏观尺度结构性能的影响。最后，对3d打印cHFRC层压板的弯曲性能进行了离散优化设计。结果表明，增加碳纤维的掺量可以提高cHFRC 3d打印试件的抗弯强度和模量。当碳纤维层位于顶部时，试件更有可能表现出更好的抗弯性能。本研究不仅揭示了3d打印cHFRC层压板的弯曲力学响应和能量吸收机理，而且实现了层压板的多尺度协同优化。Comparative analysis of carbon and boron-nitride nanotube reinforcements on the vibration characteristics of magnetostrictive sandwich platesZahra Khoddami Maraghi, Ali Ghorbanpour Arani, Omer Civalekdoi:10.1016/j.compstruct.2025.119029碳和氮化硼纳米管增强材料对磁致伸缩夹层板振动特性的对比分析This article presents an analysis of the free vibration behavior of a three-layer sandwich plate with a nanocomposite core. The core is reinforced with Carbon Nanotubes (CNTs) and Boron Nitride Nanotubes (BNNTs) to enhance its mechanical properties, which are calculated using a micromechanical approach and rule of mixtures. The top and bottom layers consist of magnetostrictive materials, introducing magneto-mechanical coupling that requires a frequency regulation parameter for accurate vibration analysis. The governing equations for each layer are derived based on third-order shear deformation theory (TSDT) and are formulated using Hamilton’s principle. The differential quadrature method is then employed to solve for the plate’s vibration frequency. Key findings reveal the distinct effects of CNT and BNNT reinforcements and different matrixes on the vibration characteristics of the composite plate, as well as the effectiveness of vibration control parameters in frequency reduction. These insights have potential applications across various fields, notably in maritime and civil engineering, highlighting the practical relevance of this study.本文对纳米复合材料三层夹层板的自由振动特性进行了分析。采用微力学方法和混合规律计算了碳纳米管（CNTs）和氮化硼纳米管（BNNTs）增强材料芯的力学性能。顶层和底层由磁致伸缩材料组成，引入了磁-机械耦合，需要频率调节参数才能进行精确的振动分析。基于三阶剪切变形理论（TSDT）推导了各层的控制方程，并利用Hamilton原理进行了推导。然后采用微分正交法求解板的振动频率。主要研究结果揭示了CNT和BNNT增强材料以及不同基体对复合材料板振动特性的不同影响，以及振动控制参数在减频方面的有效性。这些见解在各个领域都有潜在的应用，特别是在海事和土木工程领域，突出了本研究的实际意义。Strength and energy absorption characteristic of nanoparticle-reinforced composites considering interface curvature dependenceYongchao Zhang, Jun Cai, Qi Cai, Lian Wang, Xiaofan Goudoi:10.1016/j.compstruct.2025.119036考虑界面曲率依赖的纳米颗粒增强复合材料强度和能量吸收特性Nanoparticle-reinforced composites (NPRCs) have attracted significant interest as an alternative to conventional materials due to excellent mechanical properties. However, there is no mature finite element-based computational method to evaluate the strength and energy absorption properties of NPRCs, especially not taking into account the influence of interfacial effects. We developed a new finite interface element considering interface curvature dependence and established a simulation method for calculating the Young’s modulus and yield strength of NPRCs. We investigated the impact of nanoparticle modulus, geometric distribution, and interface effects on the Young’s modulus, yield strength, and energy absorption characteristics of NPRCs. The results indicate interface bending stiffness moderately enhances the Young’s modulus of NPRCs, but this enhancement diminishes as particle modulus increases. Additionally, the Young’s modulus of NPRC usually increases with the addition of particles, thus, significant particle agglomeration markedly reduces it. Furthermore, interface bending stiffness increases strain energy density in NPMs but decreases its energy absorption efficiency. The thin-walled structure within nanoporous materials (NPMs) is particularly susceptible to buckling under external loads, which markedly increases dependence of yield strength on surface bending stiffness. This study provides a robust, scientifically validated approach to accurately predict the mechanical properties of advanced composite.纳米颗粒增强复合材料（NPRCs）由于其优异的力学性能而成为传统材料的替代品，引起了人们的极大兴趣。然而，目前还没有成熟的基于有限元的计算方法来评估核反应堆材料的强度和吸能性能，特别是没有考虑界面效应的影响。提出了一种考虑界面曲率依赖性的界面有限元方法，并建立了计算NPRCs杨氏模量和屈服强度的模拟方法。我们研究了纳米粒子模量、几何分布和界面效应对NPRCs的杨氏模量、屈服强度和能量吸收特性的影响。结果表明，界面弯曲刚度适度提高了NPRCs的杨氏模量，但这种增强随着颗粒模量的增加而减弱。此外，NPRC的杨氏模量通常随着颗粒的加入而增加，因此，颗粒的显著团聚会显著降低杨氏模量。界面弯曲刚度增加了npm的应变能密度，但降低了其能量吸收效率。纳米多孔材料（npm）内部的薄壁结构在外部载荷下特别容易发生屈曲，这显著增加了屈服强度与表面弯曲刚度的依赖关系。该研究提供了一种可靠的、经过科学验证的方法来准确预测先进复合材料的力学性能。Composites Part A: Applied Science and ManufacturingFiber reinforced structural material from the waste of a multilayer food packaging film: Interactions, structure, propertiesImre Romsics, Róbert Várdai, Emese Pregi, Gábor Faludi, Nóra Hegyesi, János Móczó, Béla Pukánszkydoi:10.1016/j.compositesa.2025.108821 多层食品包装膜废弃物纤维增强结构材料：相互作用、结构、性能A multilayered packaging film consisting of three polyamides (PA), a polyethylene (PE) and a maleated polyethylene (MAPE) component acting as adhesive layer was reprocessed into glass fiber reinforced composites by chopping the waste, compounding and injection molding. The polyamides are miscible or at least develop strong interactions with each other, and PE and MAPE also form a homogeneous phase. The mediocre properties of the blend could be upgraded by the addition of glass fibers. The fiber covered with a sizing optimized for commodity polymers is embedded in polyethylene, thus it develops weak interactions with the PA matrix. The fiber having a sizing optimized for PA adheres strongly to the PA matrix resulting in efficient stress transfer and large strength. The property profile of the reprocessed material is in the range of commercial fiber reinforced PA composites and its price is very competitive.将三种聚酰胺（PA）、一种聚乙烯（PE）和一种马来化聚乙烯（MAPE）组分作为粘接层组成的多层包装薄膜，通过剪切、复合和注塑加工成玻璃纤维增强复合材料。聚酰胺是可混溶的，或至少彼此之间形成强相互作用，PE和MAPE也形成均相。玻璃纤维的加入可以改善共混物的一般性能。覆盖有针对商品聚合物优化的浆料的纤维嵌入聚乙烯中，因此它与PA矩阵产生弱相互作用。具有针对PA优化的浆料的纤维牢固地粘附在PA基体上，从而产生有效的应力传递和大强度。再加工材料的性能分布在商用纤维增强PA复合材料的范围内，其价格具有很强的竞争力。Composites Science and TechnologyMultifunctional Meta-absorber Based on CB-PLA Composite and Magnetic Materials for Electromagnetic Absorption and Load-bearing CapacitySen Zhang, Qing An, Dawei Li, Ke Chen, Junming Zhao, Tian Jiang, Ping Chen, Wenhe Liao, Tingting Liu, Yijun Fengdoi:10.1016/j.compscitech.2025.111131 基于CB-PLA复合材料和磁性材料的多功能电磁吸收和承载性能研究Low-profile electromagnetic (EM) absorbers with broadband absorption properties meet the stealth requirements of low-observable platforms. However, most studies of these EM absorbers rarely focus on mechanical properties. Based on carbon black (CB)-polylatic acid (PLA) composite and magnetic materials, this study offers a novel design recipe for meta-absorbers with excellent EM performance and mechanical properties. The three dimensional (3-D) printed lossy dielectric structure, with a thickness of 20.1 ± 0.1 mm and fabricated from the CB-PLA composite, and the 1.3 mm thick magnetic substrate are utilized as the principal frequency-dependent functional motifs. To validate the design, the optimized meta-absorber was manufactured, and the experimental findings demonstrate that its reflection coefficient remains below –10 dB within the frequency range of 1.36 to 40 GHz. The lossy dielectric structure exhibits a compressive strength of up to 3.75 MPa while maintaining a density of just 178.2 kg/m3, with an energy absorption capacity of 1.49 × 103 KJ/m3 per unit volume. The overall thickness of the meta-absorber is 21.4 mm, equivalent to approximately 0.097 times the wavelength at 1.36 GHz. The proposal paves the way for the new paradigm of multifunctional meta-absorbers for both EM absorption and load bearing.具有宽带吸收特性的低姿态电磁吸波器满足了低可观测平台的隐身要求。然而，大多数研究很少关注这些电磁吸收器的力学性能。基于炭黑(CB)-聚乳酸（PLA）复合材料和磁性材料，本研究提供了一种具有优异电磁性能和力学性能的新型吸收体设计配方。采用厚度为20.1±0.1 mm的三维打印损耗介质结构和1.3 mm厚的磁性衬底作为主要的频率相关功能基元。为了验证设计的有效性，制作了优化后的吸收体，实验结果表明，在1.36 ~ 40 GHz频率范围内，其反射系数保持在-10 dB以下。损耗介质结构的抗压强度高达3.75 MPa，而密度仅为178.2 kg/m3，单位体积的能量吸收能力为1.49 × 103 KJ/m3。元吸收体的总厚度为21.4 mm，相当于1.36 GHz波长的约0.097倍。该提案为多功能吸收器的新范例铺平了道路，既能吸收电磁又能承受载荷。Machine learning-driven property predictions of polypropylene composites using IR spectroscopySzilvia Klébert, Róbert Várdai, Anita Ráczdoi:10.1016/j.compscitech.2025.111127 利用红外光谱预测聚丙烯复合材料的机器学习驱动性能There is a growing need for environmentally friendly alternatives to the determination of the mechanical properties, thermal stability and other functional characteristics of polymer composites, which led to the use of machine learning modeling combined with fast, non-destructive measurements like Fourier-transform infrared spectroscopy (FTIR). In this study, we have successfully classified almost 200 in-house polypropylene composites according to the applied reinforcements with the above-mentioned combination of methods. The balanced accuracy of test validation was over 0.9 for the extreme gradient boosting (XGBoost)-based model. With the same IR spectra, we have developed consensus machine learning models for predicting the modulus, tensile strength and elongation at break – which are important mechanical properties from the application point of view. The three-step validation protocol has verified that the models were appropriate for the prediction of the mechanical features of the polymer composites and their classification based on the applied reinforcements.人们越来越需要环保的替代方法来确定聚合物复合材料的机械性能、热稳定性和其他功能特性，这导致了机器学习建模与快速、非破坏性测量（如傅里叶变换红外光谱（FTIR））相结合的使用。在本研究中，我们根据上述方法组合所应用的增强材料，成功地对近200种国产聚丙烯复合材料进行了分类。基于极限梯度提升（XGBoost）的模型测试验证的平衡精度超过0.9。使用相同的红外光谱，我们开发了共识机器学习模型，用于预测模量，拉伸强度和断裂伸长率-从应用的角度来看，这些都是重要的机械性能。三步验证方案验证了该模型对聚合物复合材料力学特性的预测和基于外加增强的分类是合适的。 来源：复合材料力学仿真Composites FEM