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Numerical modelling of roughness-induced crack closure 粗糙裂纹闭合的数值模拟
IF 7.3 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-19 DOI: 10.1016/j.ijmecsci.2026.111282
E.R. Sérgio, F.V. Antunes, D.M. Neto
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引用次数: 0
Additive Manufacturing of Vibration Attenuation and Load-Bearing Integrated Metamaterials 减振和承重集成超材料的增材制造
IF 7.3 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-19 DOI: 10.1016/j.ijmecsci.2026.111292
Yaqi Tian, Cong Zhang, Lei Yang
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引用次数: 0
Hierarchical physics-guided neural network for sparse-data heterogeneous material identification 稀疏数据异构材料识别的层次物理引导神经网络
IF 7.3 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-18 DOI: 10.1016/j.ijmecsci.2026.111291
Kunpeng Xu, Ning Zhang, Zhen-Yu Yin, Kai-Qi Li
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引用次数: 0
Drop-weight impact performance of flexible laminated films 柔性层压膜的落锤冲击性能
IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-18 DOI: 10.1016/j.ijmecsci.2026.111281
Jin Zhou , Xinyi Song , James Dear , Di Zhang , Jun Peng , Shuming Yang , John P. Dear , W.J. Cantwell
Low velocity impact tests have been performed on flexible laminated films with different layups employing a novel small-scale instrumented drop-weight testing approach. Thermoplastic polyurethane (TPU) and Polyimide (PI) layers were bonded together using an optically clear adhesive (OCA) to produce six types of flexible laminated film. An impact performance coefficient (Kt) has been defined to evaluate the impact resistance of the different films, which considers in one relationship the effect of absorbed energy, peak load and impact duration. Following testing, a lamination based on a TPU/TPU/PI (TTP) flexible film was identified as giving a superior impact performance. Finite element analyses of the load-time and energy-time curves showed good agreement with the experimental results. It has been shown that as the TPU content increases, Kt initially increases and then decreases. The modelling, as well as the experiments, show a maximum value of Kt was obtained when the TPU volume fraction was approximately 60%. This quantitative design guideline for TPU content and configuration is novel and provides valuable insights for developing impact-resistant protective films. The proposed methodology, combining small-scale drop-weight testing with finite element modelling, represents a new approach for assessing and optimizing flexible laminated films.
采用一种新颖的小型仪器落锤测试方法,对不同铺层的柔性层压薄膜进行了低速冲击试验。热塑性聚氨酯(TPU)和聚酰亚胺(PI)层使用光学透明粘合剂(OCA)粘合在一起,产生六种柔性层压膜。定义了一个冲击性能系数(Kt)来评价不同薄膜的抗冲击性,该系数考虑了吸收能量、峰值载荷和冲击持续时间的影响。经过测试,基于TPU/TPU/PI (TTP)柔性薄膜的层压材料具有优异的抗冲击性能。载荷-时间曲线和能量-时间曲线的有限元分析与试验结果吻合较好。结果表明,随着TPU含量的增加,Kt先增大后减小。模型和实验表明,当TPU体积分数约为60%时,Kt达到最大值。TPU含量和配置的定量设计指南是新颖的,为开发抗冲击保护膜提供了有价值的见解。所提出的方法将小尺度落重测试与有限元建模相结合,代表了一种评估和优化柔性层压膜的新方法。
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引用次数: 0
Microstructure evolution of underwater welded SUS304 revealed by high-energy synchrotron-XRD 高能同步射线衍射分析SUS304水下焊接组织演变
IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-18 DOI: 10.1016/j.ijmecsci.2026.111284
Haipeng Liao , Yingwei Kuang , Xiaohu Li , Wenting Du , Liang Cheng , Qin Zhang , Emad Maawad , Zhenmin Wang
This study reveals the multiscale microstructure evolution and residual stress distribution of SUS304, which was fabricated by local dry underwater welding (LDUW) with a water depth of 0.2 m and average current of 163 A. By integrating high-energy synchrotron-XRD (HE-SXRD) with microstructural analysis methods (SEM, EBSD, and TEM) and mechanical tests, quantitative correlations between microstructural features (grain size, phase fraction, etc.) and mechanical properties were accurately established. The results demonstrate a gradient microstructure along the path from the base metal (BM) to the heat-affected zone (HAZ) and to the weld metal (WM), the increased grain size (14.6 → 19.6 → 33.3 μm), decreased dislocation density (4.0 → 3.0 → 1.4 × 1013 m-2), and almost increased ferrite fraction (2.8% → 2.5% → 5.6%) were achieved, which was attributed to arc-induced recrystallization and recovery in the local dry cavity despite the rapid underwater cooling. Residual stresses at the weld centre reached maximum 407.2 MPa (longitudinal) and 259.7 MPa (transverse). The weldment exhibited ultimate tensile strength and elongation of 666.7 MPa and 30.7%, respectively, which were lower than that of the BM (816.2 MPa and 56.2%). This mechanical performance decline was caused by the coarse-grained structure, inhomogeneous microstructure, and high residual stress distribution in the underwater weldment, which collectively impaired its ability to undergo coordinated plastic deformation. This work provides a practical guidance for regulating the microstructure and mechanical performance in underwater welding field.
研究了在水深为0.2 m、平均电流为163 a的条件下,局部干式水下焊接(LDUW)制备SUS304的多尺度显微组织演变和残余应力分布。通过高能同步x射线衍射(HE-SXRD)与微观结构分析方法(SEM、EBSD、TEM)和力学性能测试相结合,准确建立了微观结构特征(晶粒尺寸、相分数等)与力学性能之间的定量相关性。结果表明:从母材(BM)到热影响区(HAZ)再到焊缝金属(WM)呈梯度组织,晶粒尺寸增大(14.6→19.6→33.3 μm),位错密度减小(4.0→3.0→1.4 × 1013 m-2),铁素体分数增加(2.8%→2.5%→5.6%),这是由于快速水下冷却时电弧诱导的局部干腔再结晶和恢复所致。焊缝中心残余应力最大,纵向为407.2 MPa,横向为259.7 MPa。焊件的极限抗拉强度和延伸率分别为666.7 MPa和30.7%,低于BM的816.2 MPa和56.2%。这种力学性能下降是由于水下焊件的粗晶组织、不均匀组织和高残余应力分布造成的,这些因素共同影响了水下焊件进行协调塑性变形的能力。该工作对水下焊接领域的组织和力学性能的调节具有实际指导意义。
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引用次数: 0
Model-free sequential design of absorbers for customized vibration control 无模型连续设计的吸收器,为定制振动控制
IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-17 DOI: 10.1016/j.ijmecsci.2026.111280
Hangxing LI, Waion WONG, Li CHENG
Optimal design of distributed vibration absorbers for controlling broadband vibration of structures is challenging, mainly because of the modal coupling incurred inside the structure as well as the interplay among multiple absorbers. Without analytical solutions, absorber design usually resorts to numerical optimizations over the full parameter space, which is computationally intensive alongside the risk of being trapped into local optima. Meanwhile, most existing methods are model based, mostly numerical ones, thus adding additional difficulties when the structure is complex with uncertain parameters which are difficult to be accurately apprehended. In this paper, based on the structural response (either simulated or experimentally measured), we propose a model-free and sequential approach for the design of distributed absorbers over an arbitrarily given thin-walled structure to achieve pre-defined target vibration reduction. The proposed approach involves a systematic three-step procedure. Upon identifying the Excitation-Dependent Representative Basis (EDRB) of the primary structure, locations of the absorbers are first determined to ensure their strong coupling with the targeted and higher-frequency EDRB while minimizing the interaction with the lower-frequency ones. Subsequently, absorber masses are determined through an inverse design approach, followed by the optimization of their uncoupled frequencies and damping coefficients through an iteration procedure in which only two parameters are involved. The effectiveness of the proposed approach is validated through both numerical simulations on representative cases and experiments on a complex structure.
由于结构内部存在模态耦合以及多个吸振器之间的相互作用,控制结构宽带振动的分布式吸振器优化设计具有一定的挑战性。在没有解析解的情况下,吸收器设计通常采用全参数空间的数值优化,这是计算密集型的,而且有陷入局部最优的风险。同时,现有的方法大多是基于模型的,多为数值方法,这给结构复杂且参数不确定难以准确理解的情况增加了额外的困难。在本文中,基于结构响应(模拟或实验测量),我们提出了一种无模型和顺序的方法,用于在任意给定的薄壁结构上设计分布式吸振器,以实现预定的目标减振。拟议的办法包括一个系统的三步程序。在确定主结构的激励相关代表基(EDRB)后,首先确定吸收器的位置,以确保它们与目标高频EDRB的强耦合,同时最大限度地减少与低频EDRB的相互作用。随后,通过反设计方法确定减振器质量,然后通过仅涉及两个参数的迭代过程优化其解耦频率和阻尼系数。通过典型案例的数值模拟和复杂结构的实验验证了该方法的有效性。
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引用次数: 0
Material removal mechanisms in hybrid fixed-loose abrasive machining of SiC 复合固定-松散磨料加工SiC材料去除机理
IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-17 DOI: 10.1016/j.ijmecsci.2026.111270
Chen Xu , Lei Guo , Jizhuang Hui , Liying Zhu , Xiaohui Liu , Qichao Jin , Shuming Yang
In ultra-precision hybrid abrasive machining of single-crystal silicon carbide (SiC) using fixed and loose diamond abrasives, the complex interactions between abrasives and workpiece render the material removal mechanisms insufficiently understood. To address this limitation, molecular dynamics (MD) simulations were employed to investigate the coupled motion behavior of the abrasives and the corresponding material removal process. The results show that material removal is dominated by cutting and plowing, driven by the sliding motion of the fixed abrasive. Conversely, the loose abrasive contributes primarily through rolling, which improves surface quality by compressing displaced atoms back into the machined surface. Increasing the cutting depth and transverse spacing enlarges the contact area between the abrasives and the workpiece, while promoting a partial transition from rolling to sliding in the loose abrasive motion, thereby enhancing material removal efficiency. However, an elevated cutting depth also intensifies the friction force, internal stress, and temperature, aggravating subsurface damage (SSD) and phase transformation. In addition, excessive cutting depths and transverse spacings weaken the compaction effect induced by the rolling of the loose abrasive, thereby limiting surface roughness reduction. By regulating the cutting depth and transverse spacing, both material removal rate (MRR) and surface quality can be improved. These findings clarify the mechanisms by which abrasive motion governs material removal and provide a framework for optimizing the hybrid abrasive machining of hard and brittle materials.
在使用固定和松散金刚石磨料对单晶硅进行超精密混合磨料加工时,磨料与工件之间复杂的相互作用导致对材料去除机制的了解不足。为了解决这一限制,采用分子动力学(MD)模拟来研究磨料的耦合运动行为和相应的材料去除过程。结果表明:材料的去除主要是切削和犁耕,由固定磨料的滑动运动驱动;相反,松散的磨料主要是通过轧制,通过压缩位移原子回到加工表面来改善表面质量。增加切削深度和横向间距增大了磨料与工件的接触面积,同时促进了松散磨料运动从滚动到滑动的部分过渡,从而提高了材料的去除效率。然而,增加的切削深度也会加剧摩擦力、内应力和温度,加剧亚表面损伤(SSD)和相变。此外,过大的切削深度和横向间距削弱了松散磨料滚动引起的压实效果,从而限制了表面粗糙度的降低。通过调节切削深度和横向间距,可以提高材料去除率和表面质量。这些发现阐明了磨料运动控制材料去除的机制,并为优化硬脆材料的混合磨料加工提供了框架。
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引用次数: 0
Bidirectional vibration control for FOWTs using tuned cable-inerter systems 基于调谐电缆-干涉系统的fowt双向振动控制
IF 7.3 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-17 DOI: 10.1016/j.ijmecsci.2026.111275
Mingmiao Chen, Shujin Li, Ruibo Wang, Yunting Sun, Yuan Zhao
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引用次数: 0
Failure mechanisms and resolution in deep energy method 深能量法失效机理及解决方法
IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-16 DOI: 10.1016/j.ijmecsci.2026.111278
Xi Wang , Jidong Zhao , Zhen-Yu Yin , Xiaoying Zhuang
The deep energy/Ritz method (DEM/DRM) offers advantages over physics-informed neural networks (PINNs), including reduced derivative orders and accelerated training. However, DEM encounters critical failure modes in both forward and inverse analyses, with underlying mechanisms and robust remedies remaining underexplored. To our knowledge, this work presents the first formal analysis that systematically identifies two distinct DEM failure modes, forward divergence and inverse collapse, and establishes their root causes along with sound countermeasures. In forward analysis, DEM training may diverge due to artificial energy minimization, where abrupt loss reductions below the physically admissible minimum occur with catastrophic errors, which are thermodynamically infeasible but remain unclarified. We prove that this stems from numerical integration inaccuracies in neural network representations, inducing pathological overfitting with escalating complexity. In inverse problems involving unknown material parameters or Neumann boundary conditions, we reveal that DEM fails because its variational formulation with respect to such unknown parameters is not well defined. To overcome these limitations, we propose a novel Energy-Informed Neural Operator Network (EINO), integrating a new regularization technique. Our framework incorporates: (1) a finite-element-informed regularization that lower-bounds the loss by the ground-truth FEM energy to ensure stability, and (2) a deep operator architecture with two-stage training that reconstructs unknown parameters/boundary conditions by embedding inverse constraints. Comprehensive benchmarks on 2D/3D linear/nonlinear solid mechanics and diffusion problems confirm EINO’s superiority over DEM. EINO resolves forward divergence even on very coarse meshes and achieves substantially lower parameter errors in inverse discovery (e.g., <2% relative error under 200% Gaussian noise). The elucidated failure mechanisms and the EINO framework collectively promote physics-constrained learning for surrogate modeling and inverse uncertainty quantification, minimizing the reliance on labeled data.
深度能量/Ritz方法(DEM/DRM)比物理信息神经网络(pinn)具有优势,包括减少导数阶数和加速训练。然而,在正演和逆向分析中,DEM都遇到了关键的失效模式,其潜在机制和强有力的补救措施仍未得到充分探索。据我们所知,这项工作首次提出了正式的分析,系统地确定了两种不同的DEM失效模式,即正向发散和反向崩溃,并确定了它们的根本原因以及合理的对策。在正演分析中,由于人为的能量最小化,DEM训练可能会出现偏差,其中损失突然降低到物理上可接受的最小值以下,并伴有灾难性误差,这在热力学上是不可行的,但仍未澄清。我们证明,这源于神经网络表示中的数值积分不准确,导致复杂性不断上升的病态过拟合。在涉及未知材料参数或诺伊曼边界条件的反问题中,我们发现DEM失败是因为其关于这些未知参数的变分公式没有很好地定义。为了克服这些限制,我们提出了一种新的能量信息神经算子网络(EINO),集成了一种新的正则化技术。我们的框架包含:(1)基于有限元的正则化,该正则化通过实相FEM能量降低损失以确保稳定性;(2)具有两阶段训练的深度算子架构,该架构通过嵌入逆约束来重建未知参数/边界条件。对二维/三维线性/非线性固体力学和扩散问题的综合基准测试证实了EINO优于DEM。EINO即使在非常粗糙的网格上也能解决前向发散问题,并且在逆发现中实现了更低的参数误差(例如,在200%高斯噪声下,相对误差为<;2%)。阐明的失效机制和EINO框架共同促进了物理约束学习的代理建模和逆不确定性量化,最大限度地减少了对标记数据的依赖。
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引用次数: 0
Microcrack avalanche behavior during intermittent shear fracture for metallic alloy 金属合金间歇剪切断裂过程中的微裂纹雪崩行为
IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-01-16 DOI: 10.1016/j.ijmecsci.2026.111279
Kai Ma , Zhanqiang Liu , Bing Wang , Yukui Cai , Qinghua Song , Pengyang Wang
Fractures in porous, granular, and brittle materials are well known to display avalanche dynamics, whereas metallic alloys are generally believed to exhibit smooth and continuous fracture behavior. Whether the avalanche behavior also occurs during the fracture process of metallic materials remains unknown. Here, we reveal the microcrack avalanche phenomenon in a magnesium alloy during the intermittent shear fracture process induced by adopting a unique offset-compression loading. Under the collective interactions of microcracks within shear bands, pinning and depinning of the shear band can be triggered, leading to the sudden and discontinuous shear fracture events. Based on further in-situ measurements from loading forces and acoustic emission waves, we find a series of microcrack avalanches with a scale-free size distribution, characterized by the spontaneous evolution of intermittent shear fractures into a self-organized criticality state. Moreover, by modeling shear bands as domain walls, the intermittent fracture behavior is shown to conform to the avalanche dynamics predicted by the pinning-depinning model in the Barkhausen effect. Hence, our experiments and simulations demonstrate the collective dynamics of microcracks in the shear fracture failure of the metal alloy. This work extends the avalanche behavior in metals from the plastic deformation to the following fracture process.
众所周知,多孔、颗粒状和脆性材料的断裂表现出雪崩动力学,而金属合金通常被认为表现出光滑和连续的断裂行为。雪崩行为是否也发生在金属材料的断裂过程中,目前尚不清楚。本文研究了采用独特的偏压加载方式引起镁合金断续剪切断裂过程中的微裂纹雪崩现象。在剪切带内微裂纹的集体相互作用下,可触发剪切带的钉住和脱钉,导致突发性和不连续的剪切断裂事件。基于进一步的加载力和声发射波的原位测量,我们发现了一系列具有无标度尺寸分布的微裂纹雪崩,其特征是间歇性剪切断裂自发演化到自组织临界状态。此外,通过将剪切带模拟为畴壁,表明间歇性断裂行为符合巴克豪森效应中钉钉-脱钉模型所预测的雪崩动力学。因此,我们的实验和模拟证明了金属合金剪切断裂破坏中微裂纹的集体动力学。这项工作将金属的雪崩行为从塑性变形扩展到随后的断裂过程。
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引用次数: 0
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International Journal of Mechanical Sciences
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