【新文速递】2025年11月10日复合材料SCI期刊最新文章_ACT_Mechanical_Additive

【新文速递】2025年11月16日固体力学SCI期刊最新文章

今日更新：International Journal of Solids and Structures 1 篇，Journal of the Mechanics and Physics of Solids 2 篇，Thin-Walled Structures 1 篇International Journal of Solids and StructuresSynergistic effects of stress state, temperature, and strain rate on fracture behavior of selective laser melted GH3625 superalloyBinjie Wu, Jianjun Wang, Hongxu Guo, Heng Zhang, Xinyue Han, Xueyao Hu, Qiang Wang, Dan Zhao, Shengguo Ma, Zhiming Jiao, Zhihua Wangdoi:10.1016/j.ijsolstr.2025.113769应力状态、温度和应变速率对选择性激光熔化GH3625高温合金断裂行为的协同影响Nickel-based superalloys, the main materials of hot-end components in aero-engine, are susceptible to failure under extreme operating conditions. Thus, a comprehensive understanding of the fracture behavior of nickel-based superalloys is necessary. Herein, the GH3625 superalloy commonly used in hot-end components was fabricated via selective laser melting additive manufacturing to systematically examine its fracture behavior. Different specimen types were specifically designed and fabricated to perform tests at diverse strain rates and temperatures, with the aim of systematically a nalyzing the synergistic effects of stress states, strain rates, and temperatures on fracture behavior. Based on a hybrid experimental/numerical method, the stress triaxiality, Lode parameter and fracture strain for all tests were comprehensively determined. It is found that the fracture strain exhibits a non-monotonic trend with the increasing stress triaxiality and temperature, while it linearly decreases with the increasing strain rate. Microstructural evolution and fracture morphology were ana lyzed at various loading conditions, illuminating the correlation between microstructure and fracture response. Combining experimental and numerical results, a novel multivariate synergistic fracture criterion incorporating stress triaxiality, Lode parameter, strain rate, and temperature was developed. This criterion was able to accurately characterize the complex synergistic effects of stress state, strain rate, and temperature on the fracture behavior.镍基高温合金是航空发动机热端部件的主要材料，在极端工况下容易发生失效。因此，全面了解镍基高温合金的断裂行为是必要的。采用选择性激光熔融增材制造方法制备热端部件常用的GH3625高温合金，系统研究其断裂行为。为了系统分析应力状态、应变速率和温度对断裂行为的协同效应，专门设计和制作了不同类型的试样，在不同的应变速率和温度下进行试验。采用实验与数值混合的方法，综合确定了各试验的应力三轴性、Lode参数和断裂应变。结果表明，断裂应变随应力三轴性和温度的增加呈非单调趋势，随应变速率的增加呈线性减小；分析了不同加载条件下的微观组织演变和断口形貌，阐明了微观组织与断裂响应的关系。结合实验和数值结果，提出了一种考虑应力三轴性、Lode参数、应变速率和温度的多元协同断裂准则。该准则能够准确表征应力状态、应变速率和温度对断裂行为的复杂协同效应。Journal of the Mechanics and Physics of SolidsA neural-network-enhanced micromechanical framework with evolving reference medium for nonlinear heterogeneous materialsCe Chen, Liujun Wu, Chenyang Xin, Wenbin Liu, Xin Yi, Huiling Duandoi:10.1016/j.jmps.2025.106426具有演化参考介质的非线性非均质材料神经网络增强微力学框架The mechanical response of nonlinear heterogeneous materials is strongly influenced by the deformation-dependent spatial variation of properties in the matrix and inclusions. Conventional micromechanical approaches, typically based on linearization techniques and uniform modu li within each material phase, often fail to capture the effective response of such nonlinear systems, where the local tangent modulus acts as a deformation-dependent measure of stiffness rather than an intrinsic material property. Here, we present a neural-network-enhanced micromechanical framework built upon an evolving nonlinear reference medium with spatially non-uniform tangent modu li, for composites comprising an isotropic matrix and isotropic spherical inclusions with nonlinear interfacial effects. Building on a single-inclusion configuration, where an inclusion is embedded in a reference medium, we introduce two physics-guided neural networks that capture the spatial variation with local deformation states. One network models the inclusions with prescribed properties, while the other represents the reference medium, whose material properties evolve with macroscopic deformations. By enforcing the interfacial displacement–traction condition, we identify the varying properties of the reference medium and determine the effective tangent modulus of the composite. Applied to nonlinear particle-reinforced elastomers at high volume fractions, the framework significantly outperforms classical micromechanical approaches. Moreover, the trained model demonstrates remarkable generalization across diverse nonlinear behaviors of inclusions and matrix, interfacial conditions, loading modes, and volume fractions—without retraining. The framework also extends naturally to plasticity problems, yielding accurate predictions for porous plastic solids. This work establishes a new pathway for integrating neural networks into the derivation of micromechanical relations for complex nonlinear composites.非线性非均质材料的力学响应受基体和夹杂物中变形相关的空间变化的强烈影响。传统的微力学方法，通常基于线性化技术和每个材料阶段的均匀模量，往往无法捕捉到这种非线性系统的有效响应，其中局部切线模量作为变形相关的刚度度量，而不是固有的材料特性。在这里，我们提出了一个神经网络增强的微力学框架，该框架建立在一个不断发展的非线性参考介质上，该介质具有空间非均匀的切模量，用于由各向同性矩阵和各向同性球形夹杂组成的具有非线性界面效应的复合材料。在单内含物配置的基础上，其中包含物嵌入参考介质中，我们引入了两个物理引导的神经网络，以捕获局部变形状态的空间变化。一个网络模拟具有规定性质的夹杂物，而另一个网络代表参考介质，其材料性质随宏观变形而演变。通过施加界面位移-牵引条件，我们确定了参考介质的变化性质，并确定了复合材料的有效切线模量。应用于高体积分数的非线性颗粒增强弹性体，该框架明显优于经典的微力学方法。此外，训练后的模型在不需要再训练的情况下，在包含物和基体、界面条件、加载模式和体积分数的各种非线性行为中表现出显著的泛化。该框架也自然地扩展到塑性问题，对多孔塑性固体产生准确的预测。本工作为将神经网络集成到复杂非线性复合材料微力学关系的推导中建立了一条新的途径。Interfacial Evolution Explains the Complex Swelling-Shrinkage Responses of Porous Materials from Vacuum-Dry to Full Liquid SaturationMohammadali Behboodi, Yida Zhangdoi:10.1016/j.jmps.2025.106425界面演化解释了多孔材料从真空干燥到全液饱和的复杂膨胀收缩响应Adsorption-induced swelling occurs in a wide spectrum of natural and engineered porous materials. A key underlying mechanis m is the monotonic reduction of solid-fluid surface energy upon fluid adsorption, which lowers the contractive adsorption stress and causes the porous skeleton to swell (Bangham and Fakhoury, 1928). Some mesoporous materials, however, deviate from the monotonic swelling pattern predicted by this mechanis m, exhibiting an abrupt shrinkage at intermediate adsorbate partial pressures before swelling resumes and continues to full saturation. This behavior is commonly attributed to capillary condensation of the adsorbate from the vapor to the liquid phase within the pores. Understanding the stresses and the shrinkage induced by capillary condensation is critical in various industrial applications including micro-/nanofabrication, geotechnical engineering in collapsible soils, and sorption-driven actuation technologies. This work aims to develop a unified poromechanics theory that captures the full sequence of adsorption-induced deformation, including initial swelling, contraction during capillary condensation, and resumed expansion near full saturation. The formulation begins with a thermodynamic an alysis of an unsaturated deformable porous solid acknowledging the energetics of the solid-fluid (sl), solid-vapor (sv), and liquid-vapor (lv) interfaces. The resulting free energy balance permits the simultaneous derivation of the liquid retention characteristics curve and the coupled mechanical effects driven by adsorption and partial saturation. Within this framework, two strategies for constructing constitutive relations are examined: one explicitly resolves the dynamic evolution of sl-sv-lv interfacial areas to emphasize the underlying physics, while the other partially lumps the surface energies into a macroscopic capillary potential to facilitate model calibration using standard laboratory tests. The models are evaluated using datasets from two markedly different solid-fluid systems: N2 gas adsorption on a hierarchical porous silica at 77 K and water adsorption on a carbon xerogel at 298 K. Both approaches effectively capture the complex, non-monotonic strain isotherms exhibited by the adsorbent. The adsorption-desorption hysteresis is also addressed in a thermodynamically consistent framework. The proposed theory demonstrates both robustness and unifying power in explaining the complex strain isotherms of porous materials along adsorption and desorption paths, covering the entire spectrum from vacuum-dry to fully liquid-saturated states.吸附引起的膨胀发生在广泛的天然和工程多孔材料中。一个关键的潜在机制是流体吸附时固体-流体表面能的单调减少，这降低了收缩吸附应力，导致多孔骨架膨胀（Bangham和Fakhoury， 1928）。然而，一些介孔材料偏离了该机制预测的单调膨胀模式，在中等吸附质分压下表现出突然收缩，然后膨胀恢复并继续完全饱和。这种行为通常归因于孔内吸附质从蒸气到液相的毛细管冷凝。了解毛细凝结引起的应力和收缩在各种工业应用中是至关重要的，包括微/纳米制造、湿陷性土壤的岩土工程和吸附驱动驱动技术。这项工作的目的是建立一个统一的孔隙力学理论，以捕捉吸附引起的变形的完整序列，包括初始膨胀，毛细凝结期间的收缩，以及接近完全饱和时的恢复膨胀。该公式开始于不饱和可变形多孔固体的热力学分析，承认固体-流体（sl），固体-蒸气（sv）和液体-蒸气（lv）界面的能量学。由此得到的自由能平衡允许同时推导出液体保留特性曲线和由吸附和部分饱和驱动的耦合力学效应。在此框架内，研究了构建本构关系的两种策略：一种是明确地解决sl-sv-lv界面区域的动态演变，以强调潜在的物理特性；另一种是将表面能部分集中到宏观毛细管电位中，以便使用标准实验室测试进行模型校准。使用两种明显不同的固体-流体系统的数据集对模型进行了评估：77 K时氮气在分层多孔二氧化硅上的吸附和298 K时碳干凝胶上的水吸附。这两种方法都有效地捕获了吸附剂所显示的复杂的非单调应变等温线。吸附-解吸滞后也在热力学一致的框架中得到了解决。所提出的理论在解释多孔材料沿吸附和解吸路径的复杂应变等温线方面具有鲁棒性和统一性，涵盖了从真空干燥到完全液体饱和状态的整个光谱。Thin-Walled StructuresRobust Multiscale Topology Optimization of 3D Cooling Channels with Fractal Lattices under Thermal UncertaintyChen Jia, Ziyu Qin, Xiaojian Liu, Shuyou Zhang, Yiming Zhangdoi:10.1016/j.tws.2025.114254热不确定性下分形晶格三维冷却通道鲁棒多尺度拓扑优化Cooling-channel topology optimization often relies on fully three-dimensional a nalyses, decouples macro layouts from micro-scale wall architectures, and lacks explicit treatment of operating variability, which limits design space exploration and may lead to performance drift. This study proposes a multiscale co-design framework for three-dimensional cooling channels that solves a pseudo-3D macro problem under scenario aggregation. A progressive scenario sampling method, driven by Hamiltonian Monte Carlo (HMC), is employed to efficiently capture heat-source temperature variability while reducing computational cost compared with full Monte Carlo. The optimized 2D layout is mapped into 3D, and the walls are instantiated as parameterized Menger-type micro-fractal lattices, whose effective thermo-fluid properties are obtained through unit-cell flow–thermal homogenization. This parameterization enables independent tuning of the surface-area-to-volume ratio for heat transfer and hydraulic resistance for pressure drop, under a fixed solid–liquid volume fraction of 50% and laminar flow (Re ≈ 100), with pressure-drop budgets tailored to specific applications ranging from 300 to 500 Pa. Demonstrations on the design of a turbine blade and an electric-spindle cooling jacket show that, under matched volume-fraction and pressure-drop budgets, the resulting channels outperform conventional snake and spiral baselines by up to 28% in thermal efficiency, quantified by reductions in domain-averaged temperature. Robustness evaluations across both cases indicate up to 43% lower response variability, measured by the standard deviation of temperature, demonstrating stable heat dissipation performance under uncertainty. The pseudo-3D formulation expedites the optimization process and improves convergence relative to fully 3D an alyses, providing a concise and reproducible route to uncertainty-aware cooling-channel design for thermal management applications.冷却通道拓扑优化通常依赖于完全的三维分析，将宏观布局与微尺度壁结构分离，并且缺乏对操作可变性的明确处理，这限制了设计空间的探索，并可能导致性能漂移。本文提出了一种三维冷却通道的多尺度协同设计框架，解决了场景聚合下的伪三维宏观问题。采用哈密顿蒙特卡罗（HMC）驱动的渐进式场景采样方法，与全蒙特卡罗相比，有效地捕获热源温度变化，同时降低了计算成本。将优化后的二维布局映射到三维空间中，并将壁面实例化为参数化的menger型微分形晶格，通过单元胞流-热均匀化获得其有效的热流体性质。在固定固液体积分数为50%和层流（Re≈100）的条件下，该参数化可以独立调整传热的表面积体积比和压降的水力阻力，压降预算可根据特定应用范围从300到500 Pa进行定制。涡轮叶片和电主轴冷却套的设计演示表明，在匹配的体积分数和压降预算下，由此产生的通道的热效率比传统的蛇形和螺旋形基线高出28%，通过降低区域平均温度来量化。两种情况下的稳健性评估表明，通过温度的标准偏差测量，响应变异性降低了43%，表明在不确定情况下散热性能稳定。与全3D分析相比，伪3D公式加快了优化过程，提高了收敛性，为热管理应用提供了一种简洁、可重复的不确定性冷却通道设计方法。来源：复合材料力学仿真Composites FEM

【新文速递】2025年11月10日复合材料SCI期刊最新文章

Composite Structures

Composites Part A: Applied Science and Manufacturing

Composites Part B: Engineering

Composites Science and Technology

【新文速递】2025年11月16日固体力学SCI期刊最新文章