【新文速递】2025年1月3日固体力学SCI期刊最新文章_ACT_Mechanical_Abaqus_Deform

【新文速递】2024年12月22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，Mechanics of Materials 1 篇，International Journal of Plasticity 2 篇，Thin-Walled Structures 1 篇Journal of the Mechanics and Physics of SolidsMacroscopically modeling fatigue life of additively manufactured metals: Pore-defect informed phase-field modelWei Tang, Lingfeng Wang, Shen Sun, Liucheng Zhou, Min Yidoi:10.1016/j.jmps.2024.106008 增材制造金属疲劳寿命的宏观建模：孔隙缺陷通知相场模型Fatigue crack growth (FCG) behavior and fatigue life of additively manufactured (AM) materials are highly sensitive to AM-induced pore defects, thus challenging the traditional fatigue models. A model customized for predicting fatigue/fracture behavior of AM materials is indispensable. Here we propose a pore-defect informed phase-field model (PFM) for the macroscopic modeling of fatigue crack initiation (FCI), FCG, and fatigue life of AM metals. The macroscopic PFM integrates pore-defect fatigue (PDF) model of AM metals, local stress–strain approach and cumulative fatigue damage theory. The PDF model correlates AM pore features (i.e., size, location, and morphology) with fatigue life and its parameters can be readily determined by fatigue test of standard specimens of AM metals. Our PFM is confirmed to be capable of predicting both S(E)-N curves and Paris’ law of AM metallic (nickel base superalloy Hastelloy X, titanium alloy TC4 and TC17) specimens over low- and high-cycle fatigue regimes, and the predictions are found to agree well with experiments. For a simulated compressor blade fabricated by laser AM, our three-dimensional PFM simulations of FCI and FCG behaviors could correctly predict the critical crack length and fatigue limit, which accord with experimental results obtained by X-ray computer tomography and vibration fatigue test. The pore-defect informed PFM framework here could provide a practicable toolkit for the rapid evaluation of fatigue life of AM components, as well as for the computational prediction and design of fatigue-resistant AM components.增材制造（AM）材料的疲劳裂纹扩展（FCG）行为和疲劳寿命对AM过程中产生的孔缺陷极为敏感，因此对传统的疲劳模型提出了挑战。因此，为预测AM材料的疲劳/断裂行为而定制的模型是不可或缺的。在这里，我们提出了一种基于孔缺陷的相场模型（PFM），用于宏观模拟AM金属的疲劳裂纹萌生（FCI）、裂纹扩展和疲劳寿命。宏观PFM将AM金属的孔缺陷疲劳（PDF）模型、局部应力-应变方法和累积疲劳损伤理论相结合。PDF模型将AM孔的特征（即尺寸、位置和形态）与疲劳寿命相关联，其参数可以通过AM金属标准试样的疲劳试验方便地确定。我们的PFM被证实能够预测AM金属（镍基超合金Hastelloy X、钛合金TC4和TC17）试样在低周疲劳和高周疲劳下的S(E)-N曲线和巴黎定律，并且预测结果与实验结果吻合良好。对于由激光增材制造的压缩机叶片，我们基于三维有限元法的疲劳裂纹扩展（FCI）和疲劳裂纹增长（FCG）行为模拟能够正确预测关键裂纹长度和疲劳极限，这些结果与X射线计算机断层扫描（X-ray CT）和振动疲劳试验获得的实验结果相符。这里的孔缺陷信息驱动的有限元法框架可以为快速评估增材制造组件的疲劳寿命以及预测和设计耐疲劳的增材制造组件提供实用的工具集。Mechanics of MaterialsHomogenized modelling of the electro-mechanical behaviour of a vascularised poroelastic composite representing the myocardiumLaura Miller, Raimondo Pentadoi:10.1016/j.mechmat.2024.105215 代表心肌的血管化多孔弹性复合材料的机电行为的均质化建模We propose a novel model for a vascularised poroelastic composite representing the myocardium which incorporates both mechanical deformations and electrical conductivity. Our structure comprises a vascularised poroelastic extracellular matrix with an embedded elastic inclusions (representing the myocytes) and we consider the electrical conductance between these two solid compartments. There is a distinct scale separation between the scale where we can visibly see the connected fluid compartment separated from the poroelastic matrix and the elastic myocyte and the overall size of the heart muscle. We therefore apply the asymptotic homogenization technique to derive the new model. The effective governing equations that we obtain describe the behaviour of the myocardium in terms of the zero-th order stresses, current densities, relative fluid-solid velocities, pressures, electric potentials and elastic displacements. It effectively accounts for the fluid filling in the pores of the poroelastic matrix, flow in the vessels, the transport of fluid between the vessels and the matrix, and the elastic deformation and electrical conductance between the poroelastic matrix and the myocyte. This work paves the way towards a heart model that incorporates multiscale deformations and electrical conductivity whilst also considering the effects of the vascularisation and indeed the impact on mechanotransduction.我们提出了一个新的模型血管化孔隙弹性复合代表心肌，其中包括机械变形和电导率。我们的结构包括一个血管化的多孔弹性细胞外基质和嵌入的弹性内含物（代表肌细胞），我们考虑这两个固体隔间之间的电导率。有一个明显的尺度分离在尺度之间，我们可以看到连接的液体室从多孔弹性基质和弹性肌细胞和心肌的整体尺寸中分离出来。因此，我们应用渐近均匀化技术来推导新模型。我们得到的有效控制方程描述了心肌在零阶应力、电流密度、相对流固速度、压力、电势和弹性位移方面的行为。它有效地解释了孔弹性基质孔隙中的流体填充、血管中的流动、血管与基质之间流体的输送以及孔弹性基质与肌细胞之间的弹性变形和电导。这项工作为建立一个结合多尺度变形和电导率的心脏模型铺平了道路，同时也考虑了血管化的影响以及对机械转导的影响。International Journal of PlasticityElucidating the role of combined latent hardening due to slip-slip and slip-twin interaction for modeling the evolution of crystallographic texture in high nitrogen steelsBhanu Pratap Singh, Jyoti Ranjan Sahoo, Sumeet Mishradoi:10.1016/j.ijplas.2024.104215 阐明由滑移和滑移孪晶相互作用引起的联合潜在硬化在模拟高氮钢晶体织构演变中的作用A thorough framework for addressing the evolution of crystallographic texture in high nitrogen steels is developed in the present work. The elementary doctrine of the proposed framework is the inclusion of latent hardening due to slip-slip interaction along with slip-twin interaction in the visco-plastic self-consistent (VPSC) model for simulating the evolution of crystallographic texture in high nitrogen steels. The latent hardening due to slip-slip interaction is accounted for by specifying the complete interaction matrix (12 × 12), which allows all possible interactions between different slip systems. The latent hardening due to slip-slip interaction acts in combination with the latent hardening due to slip-twin interaction in raising the deformation resistance of the slip systems, which in turn enhances the propensity of twinning for the orientations along the β-fiber between the ideal Copper and S position. As a result, these β-fiber orientations are destabilized and reorient towards the α-fiber orientations in the Euler space. The proposed modeling framework is validated against experimental orientation distribution function sections after different rolling reductions. It was observed that inclusion of the combined latent hardening effect provides a superior agreement with the experimental textures compared to the standard approach of considering only the latent hardening due to slip-twin interaction in low stacking fault energy materials. The modeling work is aptly supported by detailed microstructural characterization involving estimation of twin fraction via X-ray line profile analysis, twin characteristics via transmission electron microscopy and the reorientation caused due to twinning via electron back scatter diffraction.本文提出了一个全面的框架，用于研究高氮钢中晶体学织构的演变。该框架的基本原理是将滑移-滑移相互作用以及滑移-孪生相互作用纳入模拟高氮钢中晶体学织构演变的黏塑性自洽（VPSC）模型中。通过指定完整的相互作用矩阵（12×12），考虑了不同滑移系统之间的所有可能相互作用，从而考虑了由滑移-滑移相互作用引起的潜变硬化效应。由滑移-孪生相互作用引起的潜变硬化效应与由滑移-滑移相互作用引起的潜变硬化效应共同作用，提高了滑移系统的变形阻力，从而增强了铜-S位置之间β纤维方向上的孪生倾向。因此，这些β纤维方向在欧拉空间中被不稳定化并重新定向到α纤维方向上。该模型框架通过与不同轧制减薄后的实验取向分布函数（ODF）的对比，得到了验证。观察到，将复合的潜伏硬化效应纳入考虑，与低位错能材料的实验织构的吻合程度优于仅考虑滑移孪生相互作用的常规方法。该建模工作得到了详细的微观结构表征的支持，包括通过X射线线轮廓分析估算孪晶分数、通过透射电子显微镜研究孪晶特性以及通过电子背散射衍射研究孪晶引起的取向偏转。Graph Neural Network Unveils the Spatiotemporal Evolution of Structural Defects in Sheared Granular MaterialsJiangzhou Mei, Gang Ma, Wanda Cao, Ting Wu, Wei Zhoudoi:10.1016/j.ijplas.2024.104218图神经网络揭示剪切颗粒材料结构缺陷的时空演化The disordered nature of granular materials poses great difficulty to the accurate characterization of microscopic structures. Despite numerous handcrafted structural indicators, the relationship between particle-scale structure and dynamics, as well as the structural origins of complex constitutive behaviors, remain subjects of debate. In this paper, we utilize a Graph Convolutional Neural Network (GCNN) to establish the structure-property relationship within granular materials. The GCNN model effectively identifies active particles exhibiting intense nonaffine activities based solely on initial particle positions, without relying on handcrafted features. Additionally, we derive a structural indicator called susceptibility from the GCNN output, which quantifies the fragility of local structures to external stimuli and enables the characterization of structural evolution during the shearing process. We demonstrate that structural defects with high susceptibility tend to form spatial clusters, and the distinct failure modes in dense and loose granular assemblies are driven by the differing spatiotemporal evolution of these defect clusters. Our findings suggest that the structural origin of macroscopic yielding in dense granular materials lies in the formation of system-spanning defect clusters, which facilitates the percolation of high-mobility zones and the development of shear bands. Finally, our study indicates that graph-based neural networks are well-suited for modeling and predicting the complex behaviors of granular materials, providing a powerful approach to uncovering underlying mechanisms and deepening our understanding of these materials.颗粒材料的无序性给微观结构的准确表征带来了很大的困难。尽管有许多手工制作的结构指标，粒子尺度结构和动力学之间的关系，以及复杂本构行为的结构起源，仍然是争论的主题。在本文中，我们利用图卷积神经网络（GCNN）来建立颗粒材料内部的结构-性能关系。GCNN模型仅基于初始粒子位置有效地识别具有强烈非仿射活性的活性粒子，而不依赖于手工制作的特征。此外，我们从GCNN输出中导出了一个称为敏感性的结构指标，该指标量化了局部结构对外部刺激的脆弱性，并能够表征剪切过程中的结构演变。研究结果表明，具有高敏感性的结构缺陷往往会形成空间团簇，并且这些缺陷团簇的不同时空演化驱动了致密和松散颗粒组合中不同的失效模式。我们的研究结果表明，致密颗粒材料宏观屈服的结构根源在于系统跨越缺陷团簇的形成，这有利于高迁移带的渗透和剪切带的发展。最后，我们的研究表明，基于图的神经网络非常适合于建模和预测颗粒材料的复杂行为，为揭示潜在机制和加深我们对这些材料的理解提供了强有力的方法。Thin-Walled StructuresIntentional mistuning blade dry friction model for vibration localization of the bladed diskXuanen Kan, Kai Wang, Guoliang Madoi:10.1016/j.tws.2024.112864针对叶片盘振动定位的故意误调叶片干摩擦模型To effectively mitigate excessive vibration levels in these systems, this study introduces a novel approach termed the Intentional Mistuning Blade Dry Friction (IMBDF) model. This model integrates intentional mistuning with dry friction to establish a coupled dynamic framework aimed at reducing vibrations in the blade-disk system. By leveraging both intentional mistuning and multi-contact dry friction, the model effectively controls localized vibrations while enhancing energy dissipation. Additionally, the proposed model addresses the issue of local vibration being highly sensitive to factors that disrupt structural symmetry. To begin, this study establishes a multi-contact surface model that considers the micro-morphological characteristics of the blade contact surfaces. This is followed by the development of a multi-contact surface dry friction model. The second step involves creating an intentional mistuning bladed disk dynamic model that takes into account dry friction. To overcome the sensitivity of local vibration in the calculation process, an approximate symplectic algorithm is developed to solve the dynamic equations of the intentional mistuning bladed disk system with dry friction. Finally, the effects of key parameters on the dynamic behaviors of the proposed coupled dynamic model are discussed.为了有效地减轻这些系统中的过度振动水平，本研究引入了一种称为故意失谐叶片干摩擦（IMBDF）模型的新方法。该模型将故意失谐与干摩擦相结合，建立了一个旨在减少叶片-盘系统振动的耦合动态框架。通过利用故意失谐和多接触干摩擦，该模型有效地控制了局部振动，同时增强了能量耗散。此外，该模型还解决了局部振动对破坏结构对称性的因素高度敏感的问题。首先，本研究建立了考虑叶片接触面微观形态特征的多接触面模型。随后是多接触面干摩擦模型的发展。第二步涉及创建一个考虑干摩擦的故意误调叶片盘动态模型。为了克服计算过程中局部振动的敏感性，提出了一种近似辛算法求解含干摩擦的故意失谐叶盘系统的动力学方程。最后，讨论了关键参数对所提耦合动力学模型动力学行为的影响。来源：复合材料力学仿真Composites FEM