
今日更新:Journal of the Mechanics and Physics of Solids 1 篇,Mechanics of Materials 2 篇,Thin-Walled Structures 11 篇
Degradation of Constitutive Response to Mass Loss: Predicting Hydrolytic Aging in Vitrimers via Reaction-modified Transient Network Theory
Md Rezaul Karim, Trisha Sain
doi:10.1016/j.jmps.2026.106605
质量损失的本构响应退化:通过反应修正的瞬态网络理论预测玻璃体的水解老化
Vitrimers are a subclass of thermosetting polymers with unique self-healing and recycling capabilities. Long-term hydrolytic aging of glassy vitrimer networks leads to progressive ester bond scission, mass loss, and mechanical degradation over time, yet a predictive constitutive framework linking chemical degradation to macroscopic response remains limited. In this work, we present a thermodynamically consistent, coupled physics model that combines reaction kinetics, water diffusion, and the transient deformation mechanics to characterize hydrolysis-driven degradation in glassy vitrimers. The framework introduces two form of kinetic evolution of the extent of reaction-among which an empirical ester concentration–based form is adopted and calibrated based on the experimental FTIR measurements of ester decay in a hydrolyzed epoxy–anhydride vitrimer. The governing equations are implemented in a finite-element setting via a user element subroutine (UEL) in ABAQUS/Standard Dassault Systèmes (2022), enabling fully coupled simulations of reaction–diffusion–mechanical processes. Upon careful parameter selection, the model predictions demonstrate good agreement with experimental results for aged samples’ constitutive response at quasi-static and long-term relaxation, reflecting an altered relaxation behavior, and increasing embrittlement associated with hydrolysis. Beyond macroscopic responses, the framework provides a statistically motivated description of microstructural degradation by linking hydrolysis-driven chain scission to the evolution of the local chain-length distribution. This approach enables the prediction of regions susceptible to void nucleation and material removal without prescribing explicit void geometry. Overall, the proposed framework connects chemical degradation, altered network dynamics, and microstructural void evolution, providing a predictive tool for determining the long-term sustainability of glassy vitrimers in hydrolytic environments.
玻璃体是热固性聚合物的一个子类,具有独特的自修复和回收能力。玻璃状玻璃体网络的长期水解老化会导致酯键逐渐断裂、质量损失和机械降解,然而,将化学降解与宏观反应联系起来的预测性本构框架仍然有限。在这项工作中,我们提出了一个热力学一致的耦合物理模型,该模型结合了反应动力学,水扩散和瞬态变形力学来表征玻璃状玻璃体中水解驱动的降解。该框架介绍了两种反应程度的动力学演化形式,其中采用了一种基于酯浓度的经验演化形式,并根据水解环氧酸酐vitrimer酯衰变的实验FTIR测量进行了校准。控制方程通过ABAQUS/Standard Dassault systemmes(2022)中的用户单元子程序(UEL)在有限元环境中实现,从而实现了反应-扩散-机械过程的完全耦合模拟。经过仔细的参数选择,模型预测与实验结果很好地吻合了老化样品在准静态和长期弛豫下的本构响应,反映了弛豫行为的改变,以及与水解相关的脆性增加。除了宏观反应之外,该框架还通过将水解驱动的链断裂与局部链长分布的演变联系起来,提供了微观结构降解的统计动机描述。这种方法可以预测易受空洞成核和材料去除影响的区域,而无需规定明确的空洞几何形状。总的来说,所提出的框架将化学降解、改变的网络动力学和微观结构空隙演化联系起来,为确定玻璃状玻璃体在水解环境中的长期可持续性提供了预测工具。
Structural Effects on The Atomic Force Microscopy Characterization of Nanocomposites
Tyler Norkus, Maximillian Westby, Brian Raji, Masoud Yekani Fard
doi:10.1016/j.mechmat.2026.105676
结构对纳米复合材料原子力显微镜表征的影响
Achieving high-resolution property determination in nanometrology remains challenging due to the overlapping effects of material and structural signals. This study's novelty lies in differentiating various factors affecting property measurements, including thickness-dependent elastic modulus, the influence of surrounding inclusions and confinement, the impact of localized damage, and inclusion interphase on signals from contact-based characterization techniques such as Atomic Force Microscopy (AFM). AFM Peak Force Quantitative Nanomechanical Mapping (PFQNM) was employed to characterize carbon nanotube (CNT) networks within heterogeneous membranes. The findings show that reduced modulus and deformation responses of PFQNM are robust for detecting CNT networks on the surface. However, identifying subsurface CNT networks and the interphases using AFM remains challenging. To address this, numerical simulations were conducted to explore the quantitative relationships between probe tip size, contact force, material plasticity, and the characteristics of the inclusions—specifically their depth, size, and location—as well as the slope of the force-indentation unloading curve. The study utilized Hertz and Derjaguin-Muller-Toporov contact mechanics models, and the King model, to an alyze the force-indentation unloading curve and determine the elastic mod uli of the materials. The research results show that inclusion size, depth, location, distribution, and interphase thickness significantly influence the force-indentation unloading slope. The simulations further demonstrate that matrix compressibility and plastic damage caused by excessive contact force can affect apparent matrix stiffness, potentially making AFM modulus maps misleading. The research findings aim to contribute to the development of a robust machine-learning platform for characterizing particles and interphases in heterogeneous materials.
由于材料和结构信号的重叠效应,在纳米计量学中实现高分辨率特性测定仍然具有挑战性。这项研究的新颖之处在于区分了影响性能测量的各种因素,包括厚度相关的弹性模量、周围夹杂物和约束的影响、局部损伤的影响以及夹杂物界面对基于接触的表征技术(如原子力显微镜(AFM))信号的影响。采用AFM峰力定量纳米力学图(PFQNM)对非均相膜内的碳纳米管(CNT)网络进行了表征。研究结果表明,PFQNM的降低模量和变形响应对于检测表面上的碳纳米管网络具有鲁棒性。然而,使用原子力显微镜识别地下碳纳米管网络和界面相仍然具有挑战性。为了解决这个问题,进行了数值模拟,以探索探针尖端尺寸、接触力、材料塑性和夹杂物特征(特别是它们的深度、尺寸和位置)以及力压痕卸载曲线的斜率之间的定量关系。利用Hertz、Derjaguin-Muller-Toporov接触力学模型和King模型,分析了材料的压痕卸载曲线,确定了材料的弹性模量。研究结果表明,夹杂物的大小、深度、位置、分布和界面厚度对压痕卸荷边坡有显著影响。仿真进一步表明,过大的接触力引起的基体压缩性和塑性损伤会影响基体的表观刚度,从而可能使AFM模量图产生误导。研究结果旨在促进开发一个强大的机器学习平台,用于表征非均质材料中的颗粒和界面。
Biomechanical An alysis of Total Knee Replacement Implants During Daily Life Scenarios: A Finite Element Study
Deepak Kumar, Rina Maiti
doi:10.1016/j.mechmat.2026.105678
全膝关节置换术植入物在日常生活中的生物力学分析:一项有限元研究
A finite-element model of a posterior-stabilised total knee replacement, including the major ligaments, was developed to simulate static flexion at 0°, 60°, 90°, and 120°, and cyclic squatting loading (0o-120o-0°). The model quantified contact pressure, implant stress distributions, SED, and joint kinematics under near-physiological loads. Peak von Mises stress occurred on the femoral component at 90° (78 MPa) and 120° (120 MPa), consistent with anterior condylar motion and a reduced effective contact area at high flexion. The maximum tibial-insert contact pressure was 9.20 MPa. Including ligament constraints together with the polyethylene layer reduced stress concentrations by approximately 10%, indicating improved load redistribution. During cyclic squatting, CPRESS peaked near maximum flexion and decreased during the return phase, with peak stresses lower than those in the equivalent static cases, indicating greater functional load redistribution. Strain-based evaluation revealed markedly higher bone response in the (FB) than the (TB) across 0°-120°. FB tensile principal strain () ranged from 8.42 103 to 15 103 under cyclic loading and increased to 11.1 103- 25.3 103 under static loading, whereas TB remained lower ( = 1.51 103 - 4.68 103 in cyclic loading). SED followed the same pattern, with FB SED = 0.963 - 1.28 MPa (cyclic) vs 2.28 - 3.43 MPa (static); TB SED remained ≤0.151 MPa (cyclic) and near-zero under static loading. Micromotion at the tibial interface was below 25 , suggesting stable fixation. Overall, incorporating soft-tissue constraints improved realis m and stability, enabling integrated assess ment of contact mechanics, bone stimulus, and kinematic behaviour during deep flexion and cyclic squatting.
建立了包括主要韧带在内的后稳定全膝关节置换术的有限元模型,模拟0°、60°、90°和120°的静态屈曲,以及循环下蹲负荷(00 - 1200 -0°)。该模型量化了接触压力、植入物应力分布、SED和关节在接近生理负荷下的运动学。峰值von Mises应力出现在股骨假体90°(78 MPa)和120°(120 MPa)处,与前髁运动和高屈曲时有效接触面积减少一致。胫骨插片接触压力最大为9.20 MPa。包括韧带约束和聚乙烯层,减少了大约10%的应力集中,表明改善了载荷再分配。在循环深蹲期间,CPRESS在最大屈曲附近达到峰值,在返回阶段下降,峰值应力低于等效静态情况下的峰值应力,表明更大的功能负荷再分配。 基于应变的评估显示,在0°-120°范围内,(FB)的骨反应明显高于(TB)。FB拉伸主应变()范围为8.42 103 ~ 15 103 在循环荷载作用下,增加到11.1 103 ~ 25.3 103 而TB则保持较低(= 1.51 103 ~ 4.68 103) 循环加载)。SED的变化规律相同,FB SED = 0.963 ~ 1.28 MPa(循环)vs 2.28 ~ 3.43 MPa(静态);TB SED在静载荷下保持≤0.151 MPa(循环),接近于零。胫骨界面微动小于25,表明固定稳定。总的来说,结合软组织约束改善了真实感和稳定性,能够综合评估深度屈曲和循环深蹲时的接触力学、骨刺 激和运动学行为。
Dynamic responses of nonlinear elastically supported pipes conveying pulsating fluid under uncertainties
Zhen Jiang, Sha Wei, Hufei Li, Hu Ding, Li-Qun Chen
doi:10.1016/j.tws.2026.114861
不确定条件下输送脉动流体的非线性弹性支承管道的动力响应
The safety and stability of the pipe system are substantially affected by the vibration characteristics of fluid-conveying pipes under pulsating fluid excitation. Traditional deterministic methods fail to accurately capture the uncertain factors commonly present in practical engineering. Moreover, probabilistic methods typical rely on sufficient samples and assumptions of known parameter distributions, making them difficult to apply effectively when sample data are insufficient or distribution information is lacking. In response to this challenge, an interval an alytical approach is implemented in this study to evaluate the uncertainty associated with the dynamic characteristics of fluid-conveying pipes fitted with nonlinear supports under pulsating fluid excitation. In the frequency-domain an alysis of nonlinear systems, traditional interval methods are invalidated by inconsistent data lengths induced by multi-solution regions. Thus, an interval a nalysis method grounded in arc-length partitioning is applied in this study. This method standardizes data lengths through the arc-length partitioning strategy and incorporates Chebyshev inclusion functions to control interval overestimation. The accuracy and computational efficiency of the proposed approach are substantiated by virtue of a comparative study between the results of the proposed approach and the scanning method. In addition, a systematic parametric investigation is carried out to examine the impacts of uncertain dominant parameters, covering the linear stiffness, nonlinear stiffness, fluid speed and Young’s modulus of the pipe. The results indicate that an increase in fluid speed leads to a broadening of the resonance region of the system and a significant increase in amplitude of the dynamic response. The supporting stiffness exerts a significant modulating effect on the dynamic characteristics of the system. Specifically, the nonlinear stiffness predominantly governs the vibration amplitude and nonlinear response features, whereas its influence on the resonant frequency range is negligible. Finally, the system exhibits low sensitivity to variations in the Young's modulus within specific frequency ranges when the uncertainty of Young's modulus is taken into consideration.
在脉动流体激励下,输送管道的振动特性对管道系统的安全性和稳定性有很大的影响。传统的确定性方法不能准确地捕捉实际工程中普遍存在的不确定性因素。此外,概率方法通常依赖于足够的样本和已知参数分布的假设,这使得它们在样本数据不足或缺乏分布信息时难以有效应用。针对这一挑战,本研究采用区间分析方法来评估脉动流体激励下带有非线性支撑的输液管道动态特性的不确定性。在非线性系统的频域分析中,由于多解域导致的数据长度不一致,使得传统的区间方法失效。因此,本文采用了基于弧长划分的区间分析方法。该方法通过弧长划分策略对数据长度进行标准化,并结合Chebyshev包含函数控制区间高估。通过与扫描法计算结果的对比研究,验证了所提方法的精度和计算效率。此外,还对管道的线性刚度、非线性刚度、流体速度和杨氏模量等不确定主导参数的影响进行了系统的参数研究。结果表明,流体速度的增加使系统的共振区域变宽,动态响应幅度显著增大。支承刚度对系统的动态特性有显著的调节作用。具体而言,非线性刚度主要控制振动幅值和非线性响应特征,而其对谐振频率范围的影响可以忽略不计。最后,当考虑杨氏模量的不确定性时,系统对特定频率范围内杨氏模量变化的灵敏度较低。
Machine Learning-Driven Vibration and Stability Ana lysis of Porous Rotating Timoshenko Blades under Coupled Hygro-Thermo-Magneto-Aerodynamic Loadings
Xiaolan Chen, Qingyuan Deng, Wen Xiong, Xiaobo Chen, Peng Zhang, Feilong Zheng
doi:10.1016/j.tws.2026.114878
湿-热-磁-气动耦合载荷下多孔旋转Timoshenko叶片的机器学习驱动振动与稳定性分析
This study presents a hybrid numerical-machine learning (ML) framework for the vibration and stability an alysis of porous rotating Timoshenko blades subjected to coupled hygro-thermo-magneto-aerodynamic loadings under yawed supersonic flow. A high-fidelity physics-based structural model is combined with a support vector machine (SVM) surrogate to enable rapid, accurate prediction of dynamic responses and instability thresholds over a high-dimensional parameter space. The effects of environmental fields, material properties, geometric parameters, aerodynamic damping, boundary conditions, and beam theory selection on blade stability are systematically examined. The SVM surrogate demonstrates high predictive accuracy, with low MAE and RMSE values, while significantly reducing computational cost compared to direct numerical simulations. Feature importance an alysis identifies follower loading, axial tensile loading, and rotational velocity as the primary factors governing stability, whereas aerodynamic yaw angle and porosity distribution mainly influence the shape and extent of stability boundaries. The results indicate that rotational motion generally raises flutter instability thresholds, magnetic fields increase natural frequencies, and hygro-thermal effects reduce them. Additionally, increased porosity lowers flutter margins, whereas asymmetric porosity distributions enhance stability performance. Overall, the proposed framework provides an efficient, design-oriented tool for the stability assess ment and optimization of turbomachinery blades operating under complex multiphysics environments.
本研究提出了一种混合数值-机器学习(ML)框架,用于偏航超音速流下多孔旋转Timoshenko叶片在湿热磁气动耦合载荷下的振动和稳定性分析。基于高保真物理的结构模型与支持向量机(SVM)代理相结合,能够在高维参数空间上快速、准确地预测动态响应和不稳定阈值。系统考察了环境场、材料性能、几何参数、气动阻尼、边界条件和梁理论选择等因素对叶片稳定性的影响。与直接数值模拟相比,SVM代理具有较低的MAE和RMSE值,具有较高的预测精度,同时显著降低了计算成本。特征重要性分析表明,从动件载荷、轴向拉伸载荷和旋转速度是影响稳定性的主要因素,而气动偏航角和孔隙率分布主要影响稳定性边界的形状和范围。结果表明,旋转运动通常会提高颤振失稳阈值,磁场会增加固有频率,而湿热效应会降低固有频率。此外,孔隙度的增加降低了颤振边缘,而不对称孔隙度分布提高了稳定性。总体而言,所提出的框架为涡轮机械叶片在复杂多物理场环境下的稳定性评估和优化提供了一个高效的、面向设计的工具。
Chiral Bending in Perforated Metaplates: Simulation, Micropolar Modeling and Experimental Validation
Fangle Qi, Zewen Wang, Zhaoqiang Song, Linghui He, Yong Ni
doi:10.1016/j.tws.2026.114881
多孔夹层板的手性弯曲:模拟、微极性建模和实验验证
By transforming continuous materials into structured lattices, architected plates can exhibit remarkable mechanical properties, offering significant potential for functional applications. This study investigates the unusual bending response of perforated plates with a chiral arrangement of square pores. Through finite element simulations, we reveal a pronounced chiral effect manifesting as strong bending-twisting coupling and anomalous variations in effective bending stiffness—phenomena not observed in continuous plates. The dependence of these unconventional bending behaviors on key geometric parameters, including porosity, plate thickness, and chiral angle, is systematically explored. To interpret the underlying mechanics, we develop a micropolar model that successfully homogenizes the perforated plate and captures the reported chiral bending. Experimental tests based on 3D printing specimens validate both the numerical and theoretical predictions. This work elucidates how tailored pore patterning can achieve and regulate bending-twisting coupling, thereby establishing a clear guideline for rational design of bending-active metaplates.
通过将连续材料转化为结构晶格,结构板可以表现出卓越的机械性能,为功能应用提供了巨大的潜力。本研究探讨了具有方孔手性排列的穿孔板的不寻常弯曲响应。通过有限元模拟,我们揭示了一种明显的手性效应,表现为强弯曲-扭转耦合和有效弯曲刚度的异常变化,这种现象在连续板中没有观察到。系统地探讨了这些非常规弯曲行为与关键几何参数(包括孔隙度、板厚和手性角)的关系。为了解释潜在的力学,我们开发了一个微极性模型,成功地使穿孔板均匀化,并捕获了报道的手性弯曲。基于3D打印样品的实验测试验证了数值和理论预测。这项工作阐明了定制的孔隙模式如何实现和调节弯曲-扭转耦合,从而为弯曲-活性元板的合理设计奠定了明确的指导方针。
Full-field Strain An alysis and Radial Tensile Damage Mechanis ms of Polar Braided Composites
Yao Li, Ao Liu, Huiming Fu, Kun Liu, Liwei Wu, Qian Jiang
doi:10.1016/j.tws.2026.114883
极性编织复合材料的全场应变分析及径向拉伸损伤机理
Polar braided composites (PBCs) are ideal for high-speed rotating components like turbine rotors and flywheels due to fiber paths aligned with centrifugal forces, which provide excellent damage tolerance and load-bearing capacity. However, the yarn-addition process creates a complex, aperiodic architecture that complicates mechanical an alysis and structural optimization. This study investigates the radial tensile properties of three PBCs specimens (W5R6, W6R4, W7R3) through experiments and numerical simulation. A full-scale mesoscale finite element (FE) model was developed and validated using digital image correlation (DIC) strain monitoring. Results show failure is dominated by radial yarn fracture. The W7R3 specimen exhibited ultimate tensile strengths 51% and 23% higher than W5R6 and W6R4, respectively. Severe strain concentration (up to 7.76%) occurred in yarn-addition regions, where damage initiated in resin-rich zones and propagated along yarn orientation deviation, leading to a characteristic “V-shaped” fracture. Increasing radial yarn content improved stress uniformity and transfer but also induced early-stage damage from yarn torsional deformation. These findings systematically reveal the damage evolution in PBCs under radial tension, supporting structural optimization and damage-tolerant design.
极性编织复合材料(ppc)是高速旋转部件的理想选择,如涡轮转子和飞轮,因为纤维路径与离心力对齐,具有优异的损伤容忍度和承重能力。然而,纱线添加过程创建了一个复杂的非周期结构,使力学分析和结构优化复杂化。通过实验和数值模拟研究了W5R6、W6R4、W7R3三种PBCs试件的径向拉伸性能。建立了全尺寸中尺度有限元(FE)模型,并利用数字图像相关(DIC)应变监测进行了验证。结果表明,纱线断裂以径向断裂为主。W7R3试样的极限抗拉强度分别比W5R6和W6R4高51%和23%。加纱区应变集中严重(高达7.76%),损伤始于富树脂区,并沿纱线取向偏差扩展,形成典型的“v”型断裂。增加径向含纱量可以改善应力均匀性和传递,但也会引起纱线扭转变形的早期损伤。这些发现系统地揭示了径向拉伸作用下PBCs的损伤演化过程,为结构优化和损伤容限设计提供了依据。
Seis mic behaviour of weak-axis castellated beam-to-H-shaped column end-plate joints with double cover plates
Qiu-Rong Li, Jia-hui Fan, Lian-Guang Jia, Yao-Peng Liu
doi:10.1016/j.tws.2026.114872
双盖板弱轴伞形梁- h形柱端板节点的抗震性能
This paper presents a novel weak-axis castellated beam-to-H-shaped column end-plate joint with double cover plates, designed for fully bolted steel frames, ensuring simple installation and stable seis mic performance. Experimental testing under low-cycle reversed loading was performed on one welded joint and two bolted joints with different opening rates. The bolted joints demonstrated superior seis mic performance, due to the rotational capacity of the end-plate connection. The connection region remained essentially elastic, while the bolted specimens failed through a ductile plastic hinge at the perforated section. The study identifies that the interaction between connection slip and plastic hinge evolution determines the joint seis mic behaviour. Using a calibrated 3D finite element model, parametric studies examined the influence of opening parameters, end-plate thickness, and bolt hole diameter, leading to the derivation of regression equations for slip prediction. Results show that after accounting for slip, the bolted joint seis mic performance is equivalent to the welded joint. Consequently, a simplified design method incorporating slip effects is proposed.
本文提出了一种新型的双盖板弱轴槽形梁- h形柱端板节点,设计用于全螺栓连接钢框架,安装简单,抗震性能稳定。对1个不同开度的焊接接头和2个不同开度的螺栓接头进行了低周反向加载试验。由于端板连接的旋转能力,螺栓连接表现出优异的抗震性能。连接区域基本上保持弹性,而螺栓试件在穿孔部分通过延性塑性铰破坏。研究表明,节点滑移与塑性铰演化的相互作用决定了节点的抗震性能。使用校准的三维有限元模型,参数化研究考察了开口参数、端板厚度和螺栓孔直径的影响,从而推导出滑移预测的回归方程。结果表明:考虑滑移因素后,螺栓连接的抗震性能与焊接连接相当。因此,提出了一种考虑滑移效应的简化设计方法。
Effect of discontinuous elastic foundations on geometrically nonlinear bending and stress response of thick composite plates via energy-based physics-informed neural networks
Vu Ngoc Viet Hoang, Jian Yang, Raj Kiran, Xin Yang, Pham Trung Thanh
doi:10.1016/j.tws.2026.114873
基于能量物理信息神经网络的不连续弹性基础对厚复合材料板几何非线性弯曲和应力响应的影响
This paper introduces a novel energy-based physics-informed neural network (EPINN) for the geometrically nonlinear a nalysis of thick composite plates interacting with discontinuous elastic foundations. Addressing the instability of conventional residual-based PINNs, our mesh-free framework minimizes the total potential energy, thereby eliminating the heuristic weighting of loss terms. The formulation integrates Reddy’s higher-order shear deformation theory (HSDT) with von Kármán nonlinearity, while kinematic constraints are strictly satisfied through a hard enforcement strategy. A key innovation is the implementation of an a nalytical mask function that elegantly handles complex support geometries by decoupling the foundation layout from computational sampling. To ensure efficient convergence in the nonlinear regime, a continuation-based training strategy mirroring incremental loading is employed. The framework is rigorously validated against established benchmark solutions available in the open literature. The results demonstrate high precision in predicting full-field displacements and capturing sharp stress concentrations at support boundaries without the need for manual mesh refinement. Parametric investigations reveal that annular support offers superior stiffness compared to central support, triggering significant stress redistribution. This paper establishes the proposed EPINN as a robust, high-fidelity computational tool, offering a superior alternative to mesh-based methods for structures governed by strong nonlinearities and intricate boundary interactions.
本文介绍了一种新的基于能量的物理信息神经网络(EPINN),用于厚复合材料板与不连续弹性基础相互作用的几何非线性分析。为了解决传统基于残差的pin网络的不稳定性问题,我们的无网格框架使总势能最小化,从而消除了损失项的启发式加权。该公式将Reddy的高阶剪切变形理论(HSDT)与von Kármán非线性相结合,通过硬执行策略严格满足运动约束。一个关键的创新是分析掩模函数的实现,该函数通过将基础布局与计算采样分离来优雅地处理复杂的支撑几何形状。为了保证在非线性区域的有效收敛,采用了一种反映增量加载的基于连续的训练策略。该框架根据开放文献中可用的已建立的基准解决方案进行严格验证。结果表明,在不需要手动网格细化的情况下,预测全场位移和捕获支撑边界的尖锐应力集中具有很高的精度。参数研究表明,与中心支撑相比,环空支撑提供了更好的刚度,引发了显著的应力重新分布。本文将提出的EPINN作为一种鲁棒的、高保真的计算工具,为由强非线性和复杂边界相互作用控制的结构提供了一种优于基于网格的方法的替代方法。
Designing structural-multifunctional CF/PEEK composites: achieving high performance, electromagnetic shielding, electrothermal deicing, and in-situ rapid repair through synergistic interfacial bridging and matrix engineering
Meng Cao, Shuo Wang, Yewei Zhang, Mingyu Liu, Jian Zang
doi:10.1016/j.tws.2026.114888
设计结构多功能CF/PEEK复合材料:通过协同界面桥接和基质工程实现高性能、电磁屏蔽、电热除冰和原位快速修复
The development of high-end equipment towards lightweight, intelligent designs places stringent demands on multifunctional integration in structural materials. Although thermoplastic carbon fibre-reinforced polyetheretherketone (CF/PEEK) composites offer advantages such as rapid processing and recyclability, their weak interfacial properties and limited functionality severely limit their potential for advanced applications, such as electromagnetic shielding and intelligent de-icing. This study, therefore, proposes an innovative, multi-scale, synergistic modification strategy that combines electrophoretic deposition interface engineering and matrix modification to manufacture CF/PEEK composites with enhanced mechanical properties and multifunctional integration. A three-dimensional carbon nanotube reinforcement layer was formed on the surface of the carbon fibre via electrophoretic deposition (EPD). Concurrently, the incorporation of graphene nanoplates (GNPs) and carbon nanotubes (CNTs) into the PEEK matrix via blending formed an interfacial bridging-matrix co-permeation three-dimensional structure. Experiments were conducted on the mechanical properties, electrical heating performance, electromagnetic shielding capabilities, and in-situ rapid repair capacity of synergistically reinforced CF/PEEK composites. The results indicate that the interlaminar shear strength (ILSS) and flexural strength of the synergistically reinforced composites increased by 113.1% and 121.6%, respectively, compared to the original composite. Electromagnetic shielding performance improved by 92.5% (65.06dB), and the composites exhibited excellent electrical heating performance, reaching 113.9°C at 3V/300s, with stability maintained after 10 cycles. The mechanical properties recovered to 77.8% of the original composite after in-situ rapid repair, and the shielding effectiveness was restored to 96.4%. This work provides new insights and broader application prospects for designing next-generation structural-functional integrated thermoplastic composites for high-end equipment applications.
高端装备向轻量化、智能化方向发展,对结构材料的多功能集成提出了严格的要求。尽管热塑性碳纤维增强聚醚醚酮(CF/PEEK)复合材料具有快速加工和可回收等优点,但其弱的界面特性和有限的功能严重限制了其在电磁屏蔽和智能除冰等高级应用领域的潜力。因此,本研究提出了一种创新的、多尺度的、协同的改性策略,将电泳沉积界面工程和基体改性相结合,以制造具有增强力学性能和多功能集成的CF/PEEK复合材料。通过电泳沉积(EPD)在碳纤维表面形成三维碳纳米管增强层。同时,通过共混将石墨烯纳米板(GNPs)和碳纳米管(CNTs)掺入PEEK基体中,形成了界面桥接-基体共渗透的三维结构。对协同增强CF/PEEK复合材料的力学性能、电加热性能、电磁屏蔽性能和原位快速修复能力进行了实验研究。结果表明:复合材料的层间抗剪强度和抗折强度分别比原复合材料提高了113.1%和121.6%;电磁屏蔽性能提高了92.5% (65.06dB),复合材料具有优异的电热性能,在3V/300s下达到113.9°C,循环10次后仍保持稳定。原位快速修复后,复合材料的力学性能恢复到原复合材料的77.8%,屏蔽效能恢复到96.4%。这项工作为设计下一代结构功能一体化热塑性复合材料提供了新的见解和更广阔的应用前景。
Physically meaningful parameter identification for complex material constitutive models using feature-guided surrogate-based optimization
Yu Wu, Gang Zheng, Qing Li, Quantian Luo, Guangyong Sun
doi:10.1016/j.tws.2026.114905
基于特征导向代理优化的复杂材料本构模型物理意义参数识别
Accurate calibration of constitutive material models is critical for simulation-driven engineering design, especially in vehicle lightweighting. For materials with nonlinear, damage-coupled, and path-dependent behavior, direct calibration is insufficient, making inverse parameter identification necessary. However, conventional methods rely on minimizing a single global error, which often leads to non-unique solutions and poor physical interpretability, as different parameter sets can produce similar global responses but differ in local behavior. This study proposes a feature-guided identification framework that incorporates local mechanical characteristics without relying on scalarization. A multi-feature error representation captures key events such as yield, ultimate load, and fracture, preserving important structural information. Based on this, a feature-guided Gaussian process surrogate is developed, using adaptive scaling to adjust the influence of samples and parameter directions. A feature-aware acquisition function further balances global accuracy and local fidelity during optimization. The framework is validated using an alytical benchmarks, finite element simulations, and experimental calibration of aluminum alloy AA6063 with a GTN damage model. Compared with conventional Bayesian optimization, weighted-sum methods, and alternative metrics such as dynamic time warping, the proposed approach shows improved convergence, parameter identifiability, and physical consistency. The results indicate that the main limitation of existing methods lies in information loss due to scalarization. By preserving the relationship between global responses and local features, the proposed method offers a more robust and interpretable solution for parameter identification.
准确校准本构材料模型对于仿真驱动的工程设计至关重要,尤其是在汽车轻量化方面。对于具有非线性、损伤耦合和路径依赖行为的材料,直接校准是不够的,需要进行反参数识别。然而,传统方法依赖于最小化单个全局误差,这通常会导致非唯一解和较差的物理可解释性,因为不同的参数集可以产生相似的全局响应,但在局部行为上不同。本研究提出了一个特征导向的识别框架,该框架结合了局部力学特征,而不依赖于尺度化。多特征错误表示捕获关键事件,如屈服、极限载荷和断裂,保留重要的结构信息。在此基础上,开发了一种特征引导的高斯过程代理,使用自适应缩放来调整样本和参数方向的影响。特征感知采集功能在优化过程中进一步平衡了全局精度和局部保真度。通过分析基准测试、有限元模拟和基于GTN损伤模型的AA6063铝合金实验校准,对该框架进行了验证。与传统的贝叶斯优化、加权和方法以及动态时间翘曲等替代度量方法相比,该方法具有更好的收敛性、参数可识别性和物理一致性。结果表明,现有方法的主要局限性在于尺度化导致的信息丢失。通过保留全局响应和局部特征之间的关系,该方法为参数识别提供了更强的鲁棒性和可解释性。
An a nalytical framework for inverse morphological design of piezoelectric film using Boussinesq-Mindlin superposition
Yifan Shi, Liu Wang
doi:10.1016/j.tws.2026.114885
基于Boussinesq-Mindlin叠加的压电薄膜反形态设计分析框架
Piezoelectric materials, which transduce electric fields into mechanical strain with high spatial resolution, hold great promise for precise surface morphing and contactless micro-manipulation. However, achieving an alytically tractable inverse design of complex surface profiles, especially in thin piezoelectric film, remains largely unsolved due to the complex electromechanical coupling. In this work, we present an an alytical framework for inverse morphological design of piezoelectric films. First, we establish a forward model that yields closed-form displacement fields for sinusoidally distributed electric potentials by incorporating Green’s function and Boussinesq-Mindlin superposition. Leveraging these solutions, we then collapse the high-dimensional design space to a finite set of coefficients, enabling closed-form inverse solutions for basic target morphologies (sinusoidal/cosine) without iterative optimization. Using Fourier-series superposition, this framework extends to arbitrarily complex morphologies and further generalizes to time-evolving surface profiles. We demonstrate inverse designs of triangular wave, square waves and arbitrary contours extracted from artworks using modest Fourier terms, which were both corroborated by finite element modeling. The framework provides a transparent and efficient solution for precise programmable surface actuation in piezoelectric layers, offering a versatile platform for future applications in microscale robotic manipulation, dynamic surface patterning, and responsive materials.
压电材料将电场转化为具有高空间分辨率的机械应变,在精确的表面变形和非接触式微操作方面具有很大的前景。然而,由于复杂的机电耦合,实现复杂表面轮廓,特别是压电薄膜的解析可处理反设计在很大程度上仍未得到解决。在这项工作中,我们提出了压电薄膜反形态设计的分析框架。首先,我们结合Green函数和Boussinesq-Mindlin叠加建立了正弦分布电势的封闭位移场正演模型。利用这些解决方案,我们将高维设计空间分解为有限的系数集,无需迭代优化即可实现基本目标形态(正弦/余弦)的封闭形式反解。利用傅里叶级数叠加,该框架扩展到任意复杂的形貌,并进一步推广到随时间变化的表面轮廓。我们展示了从艺术品中提取的三角形波、方波和任意轮廓的反设计,使用适度的傅里叶项,这两者都得到了有限元建模的证实。该框架为压电层的精确可编程表面驱动提供了一个透明和高效的解决方案,为未来在微尺度机器人操作、动态表面图案和响应材料方面的应用提供了一个通用的平台。
Low velocity impact response of gradient foam-CFRP honeycomb sandwich structure fabricated by the Integrated Molding Method
Yan Wang, Jian Xiong
doi:10.1016/j.tws.2026.114886
一体化成型梯度泡沫- cfrp蜂窝夹层结构的低速冲击响应
This study presents a novel method for the integrated molding of foam and carbon fiber reinforced polymer (CFRP) honeycomb core. This method enhances the previously complex manufacturing process of foam-filled honeycomb structures and facilitates the pre-design of foam to expand the multifunctional application scenarios of the structure. It can efficiently construct gradient foams with a wider absorption bandwidth within honeycomb cavities, simultaneously improving the structure's impact resistance. A combined experimental–numerical approach, incorporating impact testing and a finite element model, is employed to investigate the influence of impact energy, foam density, and density gradient on structural performance. The results reveal that the CFRP honeycomb primarily governs the initial peak load, while the foam contributes more significantly to overall energy dissipation. Increasing the foam density alters the phase-wise energy absorption behavior and modifies the honeycomb failure mode. Distinct failure patterns are observed for foams with positive and negative density gradients, with the negative gradient configuration demonstrating superior impact resistance compared to uniform-density foam of equivalent mass.
提出了一种泡沫塑料与碳纤维增强聚合物(CFRP)蜂窝芯一体化成型的新方法。该方法改善了以前泡沫填充蜂窝结构复杂的制造工艺,便于泡沫的预设计,扩大了结构的多功能应用场景。它可以有效地在蜂窝腔内构建具有更宽吸收带宽的梯度泡沫,同时提高结构的抗冲击性。采用冲击试验和有限元模型相结合的实验-数值结合方法,研究了冲击能、泡沫密度和密度梯度对结构性能的影响。结果表明,CFRP蜂窝结构对初始峰值荷载起主导作用,而泡沫结构对整体耗能的贡献更为显著。增加泡沫密度改变了蜂窝的相位能量吸收行为,改变了蜂窝的破坏模式。在具有正、负密度梯度的泡沫中观察到不同的破坏模式,与同等质量的均匀密度泡沫相比,负梯度结构表现出更强的抗冲击性。