今日更新:International Journal of Solids and Structures 1 篇,Journal of the Mechanics and Physics of Solids 2 篇,Mechanics of Materials 2 篇,Thin-Walled Structures 3 篇
Two-way coupled modeling of dislocation substructure sensitive crystal plasticity and hydrogen diffusion at the crack tip of FCC single crystals
Tang Gu, Baolin Wang, Ting Zhu, Gustavo M. Castelluccio, David L. McDowell
doi:10.1016/j.ijsolstr.2024.113072
FCC单晶位错子结构、敏感晶体塑性与裂纹尖端氢扩散的双向耦合模拟
Dislocation substructure-sensitive crystal plasticity (DSS-CP) modeling accounts for the evolution of mesoscale structures using dislocation-based parameters informed by experiments and computation at various lower length scales. To a first-order approximation, DSS-CP model parameters are affected by hydrogen (H) concentration, accounting for both H-dependent yield strength and strain hardening rate. This H-affected DSS-CP model is two-way coupled with H-diffusion to explore both effects of plastic deformation on H-diffusion and effects of H on yield strength and strain hardening in the DSS-CP model. Crack tip simulations are performed for face-centered cubic (FCC) metals under monotonic loading conditions with and without H. Enhanced maximum plastic deformation in the vicinity of the crack tip (i.e., localization or intensification of plastic strain) and crack tip opening displacement (CTOD) are predicted in the presence of H, consistent with experimental observations. In spite of increased initial strength due to H, subsequent reduction of the rate of strain hardening in the presence of H is shown to enhance localization of crack tip plasticity. Furthermore, this modeling framework predicts that higher H-diffusivity (leading to a larger H-affected zone) will enhance the crack tip plasticity, making use of the two-way coupling algorithm implemented in this work. On the other hand, we find that the H-sensitivity of crack tip strain localization response, based only on modification of model parameters, is too weak to explain typical experimental observations. This points to the need to develop more advanced DSS-CP constitutive relations that consider highly complex dislocation interactions with point defects.
位错子结构敏感晶体塑性(DSS-CP)模型利用基于位错的参数,在不同的低长度尺度上进行实验和计算,来解释中尺度结构的演变。在一阶近似下,DSS-CP模型参数受氢(H)浓度的影响,同时考虑H相关的屈服强度和应变硬化率。该受H影响的DSS-CP模型与H扩散双向耦合,探讨了塑性变形对H扩散的影响以及H对DSS-CP模型屈服强度和应变硬化的影响。对面心立方(FCC)金属在有H和没有H的单调加载条件下的裂纹尖端进行了模拟,预测了裂纹尖端附近的最大塑性变形(即塑性应变的局部化或强化)和裂纹尖端张开位移(CTOD),与实验观察结果一致。尽管H增加了初始强度,但在H的作用下,应变硬化速率的降低增强了裂纹尖端塑性的局部化。此外,该建模框架利用本工作中实现的双向耦合算法预测,更高的h扩散率(导致更大的h影响区)将增强裂纹尖端的塑性。另一方面,我们发现仅基于模型参数修正的裂纹尖端应变局部化响应的h灵敏度太弱,无法解释典型的实验观测结果。这表明需要发展更先进的DSS-CP本构关系,考虑高度复杂的位错与点缺陷的相互作用。
Electroactive differential growth and delayed instability in accelerated healing tissues
Yafei Wang, Zhanfeng Li, Xingmei Chen, Yun Tan, Fucheng Wang, Yangkun Du, Yunce Zhang, Yipin Su, Fan Xu, Changguo Wang, Weiqiu Chen, Ji Liu
doi:10.1016/j.jmps.2024.105867
加速愈合组织的电活性差异生长和延迟不稳定性
Guided by experiments contrasting electrically accelerated recovery with natural healing, this study formulates a model to investigate the importance of electroactive differential growth and morphological changes in tissue repair. It underscores the clinical potential of leveraging electroactive differential growth for improved healing outcomes. The study reveals that voltage stimulation significantly enhances the healing and growth of biological tissues, accelerating the regeneration process across various growth modalities and steering towards isotropic growth conditions that do not favor any specific growth pathways. Enhancing the electroelastic coupling parameters improves the efficacy of bioelectric devices, initiating contraction and fortification of biological tissues in alignment with the electric field. This process facilitates swift cell migration and proliferation, as well as oriented growth of tissue. In instances of strain stiffening at elevated strains, the extreme critical growth ratio aligns with the predictions of neo-Hookean models. Conversely, for tissues experiencing strain stiffening under moderate to very low strain conditions, the strain stiffening effect substantially delays the onset of electroelastic growth instability, ultimately producing a smooth, hyperelastic surface devoid of any unstable morphologies. Our investigation, grounded in nonlinear electroelastic field and perturbation theories, explores how electric fields influence differential growth and instability in biological tissues. We examine the interactions among dimensionless voltage, internal pressure, electroelastic coupling, radius ratio, and strain stiffening, revealing their effects on promoting growth and delaying instability. This framework offers insights into the mechanisms behind electroactive growth and its instabilities, contributing valuable knowledge to the tissue healing.
通过对比电加速恢复和自然愈合的实验,本研究建立了一个模型来研究电活性差异生长和形态变化在组织修复中的重要性。它强调了利用电活性差异生长来改善愈合结果的临床潜力。该研究表明,电压刺 激显著增强了生物组织的愈合和生长,加速了各种生长方式的再生过程,并转向了不支持任何特定生长途径的各向同性生长条件。提高电弹性耦合参数提高了生物电器件的效率,启动了生物组织与电场对齐的收缩和强化。这个过程促进了细胞的快速迁移和增殖,以及组织的定向生长。在应变升高时应变变硬的情况下,极端临界增长比与新胡克模型的预测一致。相反,对于在中等至极低应变条件下经历应变硬化的组织,应变硬化效应大大延迟了电弹性生长不稳定性的发生,最终产生光滑的超弹性表面,没有任何不稳定的形貌。我们的研究基于非线性电弹性场和微扰理论,探讨电场如何影响生物组织的差异生长和不稳定性。我们研究了无量纲电压、内压、电弹性耦合、半径比和应变硬化之间的相互作用,揭示了它们对促进生长和延缓不稳定性的影响。该框架提供了对电活性生长及其不稳定性背后机制的见解,为组织愈合提供了有价值的知识。
Data-driven bio-mimetic composite design: Direct prediction of stress–strain curves from structures using cGANs
Chih-Hung Chen, Kuan-Ying Chen, Yi-Chung Shu
doi:10.1016/j.jmps.2024.105857
数据驱动的仿生复合材料设计:利用cgan直接预测结构的应力-应变曲线
Designing high-performance composites requires integrating tasks, including material selection, structural arrangement, and mechanical property characterization. Accurate prediction of composite mechanical properties requires a comprehensive understanding of their mechanical response, particularly the failure mechanisms under high deformations. As traditional computational methods struggle to exhaustively explore every composite configuration in the vast design space for optimal design search, machine learning offers rapid identification of optimal composite designs. This study presents a cGAN-based deep learning model for predicting stress–strain curves directly from composite structures using an image-to-vector approach. The model incorporates fully connected layers within a U-Net generator for stress–strain curve generation and utilizes a PatchGAN discriminator for realism assessment. This end-to-end mapping from structures to mechanical response effectively eliminates the need for extensive simulations and labor-intensive post-analyses. Phase-field simulations were conducted to model the material failure process, generating stress–strain curves for various composite structures used as ground truth data to train and test the surrogate model. This study incorporates various composite structures in the dataset, including random (RS), layered (LS), chessboard-like (CS), soft-scaffold (SS), and hard-scaffold (HS), enhancing the representation of design diversity. Despite being trained on a limited dataset (approximately 1.5% for each bio-mimetic structure and 10−72% for RS composites), the model achieves highly accurate predictions in stress–strain curves, with MAE loss converging to 0.01 for training and 0.05 for testing after 2 million iterations. High evaluation scores on training data (R2>0.997, MAPE<1.08%) and testing data (R2>0.946, MAPE<5.53%) demonstrate the model’s accuracy in predicting mechanical properties such as Young’s modulus, strength, and toughness across all composite structures. Overall, the study provides a proof of concept for using machine learning to simplify the design process, demonstrating its potential for solving inverse composite design problems.
高性能复合材料的设计需要综合多项任务,包括材料选择、结构布置和机械性能表征。要准确预测复合材料的机械性能,就必须全面了解其机械响应,特别是高变形下的失效机理。传统的计算方法难以在广阔的设计空间中穷尽地探索每一种复合材料构型,从而进行最佳设计搜索,而机器学习可快速识别最佳复合材料设计。本研究提出了一种基于 cGAN 的深度学习模型,利用图像到向量方法直接预测复合材料结构的应力应变曲线。该模型在用于生成应力应变曲线的 U-Net 生成器中加入了全连接层,并利用 PatchGAN 识别器进行真实性评估。这种从结构到机械响应的端到端映射有效地消除了大量模拟和劳动密集型后期分析的需要。通过相场模拟来模拟材料的失效过程,生成各种复合材料结构的应力-应变曲线,作为训练和测试代用模型的基本真实数据。这项研究在数据集中纳入了各种复合材料结构,包括随机结构(RS)、分层结构(LS)、棋盘式结构(CS)、软支架结构(SS)和硬支架结构(HS),从而增强了设计多样性的代表性。尽管该模型只在有限的数据集上进行了训练(每种仿生物结构的数据集约为 1.5%,RS 复合材料的数据集约为 10^-72%),但它对应力-应变曲线的预测非常准确,经过 200 万次迭代后,训练的 MAE 损失趋近于 0.01,测试的 MAE 损失趋近于 0.05。在训练数据(R2>0.997,MAPE<1.08%)和测试数据(R2>0.946,MAPE<5.53%)上的高评估分数证明了该模型在预测所有复合材料结构的机械性能(如杨氏模量、强度和韧性)方面的准确性。总之,该研究证明了使用机器学习简化设计流程的概念,展示了其解决反向复合材料设计问题的潜力。
An atomistic and experimental approach to study the effect of water and nanofillers on the compressive strength of PEGDA hydrogels for cartilage replacement
Raju Kumar, Abhishek Tewari, Avinash Parashar
doi:10.1016/j.mechmat.2024.105161
用原子和实验方法研究水和纳米填料对软骨置换用PEGDA水凝胶抗压强度的影响
Polyethylene glycol diacrylate (PEGDA) hydrogel is emerging as a potential candidate for biomedical applications, particularly cartilage replacement. However, due to weak mechanical strength, their applications are still in the infancy for cartilage replacement. In this article, authors have reported the compressive strength of hexagonal boron nitride (h-BN) reinforced PEGDA hydrogels in conjunction with different water content. A combined experimental and atomistic approach (Molecular Dynamics) was employed to explore the compressive strength of nanocomposite hydrogels. It was reported from the experimental analysis that h-BN acts as a superior reinforcement for the compressive strength at lower water content. The Molecular Dynamics (MD) based simulations also predict a similar trend with h-BN and water content. The MD-based study gives insight into scrutinizing the behavior of polymer chains and their entanglement and sheds light on microscale phenomena that are usually inaccessible through experiments alone. It can be concluded from the experiments in conjunction with MD simulations that at higher water content, the contact points between h-BN nanosheets and polymer chains decrease, mitigating the overall compressive strength of PEGDA hydrogels. In summary, this study enables us to obtain meaningful mechanical properties that mimic the strength of human articular cartilage.
聚乙二醇二丙烯酸酯(PEGDA)水凝胶正在成为生物医学应用的潜在候选者,特别是软骨替代。但由于其机械强度较弱,在软骨置换方面的应用尚处于起步阶段。本文报道了六方氮化硼(h-BN)增强PEGDA水凝胶在不同含水量下的抗压强度。采用实验与原子力学相结合的方法(分子动力学)研究了纳米复合水凝胶的抗压强度。实验分析表明,在低含水量条件下,h-BN具有较好的抗压强度增强作用。基于分子动力学(MD)的模拟也预测了h-BN和水含量的类似趋势。以md为基础的研究深入研究了聚合物链的行为及其纠缠,并揭示了通常仅通过实验无法获得的微观现象。实验和MD模拟结果表明,在较高的含水量下,h-BN纳米片与聚合物链之间的接触点减少,降低了PEGDA水凝胶的整体抗压强度。总之,这项研究使我们能够获得模拟人类关节软骨强度的有意义的力学特性。
Continuum versus micromechanical modelling of corneal biomechanics
Anna Pandolfi, Maria Laura De Bellis
doi:10.1016/j.mechmat.2024.105162
角膜生物力学连续体与微力学模型
Two alternative numerical models of the human cornea are used to simulate the mechanical response under the action of a physiological intraocular pressure (IOP). The first model is continuum or macromechanical, considering the stromal tissue as a bulk material with stochastic distribution of the spatial variability of reinforcing collagen fibers. The second model is discrete or micromechanical, considering the sole collagen-crosslink stiffening micro-structure. The geometry of the two models is reconstructed from corneal topographer images. Simulations consider the behavior of a healthy cornea and of a keratoconus cornea. For the keratoconus the material properties of a portion of the cornea are reduced to 1/8 of the values used for the healthy tissue. It is found that, for suitable choice of the material parameters for the discrete model, in the healthy case the mechanical responses of the two models are fully comparable. In the keratoconus case, both models capture with comparable accuracy the anterior shape of the conus; in addition, the discrete model is able to describe the tissue thinning typical of the pathology. Despite the inclusion of stochastic material properties, starting from a healthy condition, continuum models of the cornea are not able to predict the thinning of the a keratoconus cornea, while the inclusion of the underlying collagen microstructure allows for a proper description of pathologic mechanical behaviors.
采用两种不同的人眼角膜数值模型来模拟生理眼压(IOP)作用下的力学反应。第一种模型是连续体或宏观力学模型,将基质组织视为具有增强胶原纤维空间变异性随机分布的大块材料。第二种模型是离散的或微力学的,考虑了鞋底胶原交联硬化微观结构。这两个模型的几何形状是由角膜地形图图像重建的。模拟考虑健康角膜和圆锥角膜的行为。对于圆锥角膜,部分角膜的材料特性减少到用于健康组织的值的1/8。通过对离散模型材料参数的适当选择,可以使两种模型在健康情况下的力学响应完全具有可比性。在圆锥角膜的情况下,两种模型都以相当的精度捕获圆锥的前形状;此外,离散模型能够描述典型的病理组织变薄。尽管包含随机材料特性,但从健康状态出发,角膜的连续体模型不能预测圆锥角膜角膜的变薄,而包含潜在的胶原微结构允许对病理力学行为的适当描述。
Structural behavior of partially confined circular CFST columns under lateral cyclic loading
Prasanta Kar, Arun Chandra Borsaikia, Konjengbam Darunkumar Singh
doi:10.1016/j.tws.2024.112478
横向循环荷载作用下部分约束CFST圆形柱的结构性能
The seismic performance of concrete-filled steel tubular (CFST) columns is severely influenced by the failure at the potential plastic hinge zone. This paper proposes a novel confinement technique at the potential plastic hinge region using an inner circular steel tube for the circular CFST columns named partially confined concrete-filled steel tubular (PCCFST) columns. This confinement technique strengthens the plastic hinge region, and hence, the overall structural performance of the columns is enhanced. To verify the effectiveness of the proposed technique, a total of 7 columns: 6 PCCFST and 1 counterpart CFST have been tested under lateral cyclic loadings while subjected to constant axial load. Failure mode, hysteretic behavior, flexural capacity, ductility, and energy dissipation ability of the PCCFST specimens were investigated by varying the diameter and height of the inner circular steel tube. It was seen that the height of the circular inner steel tube has an obvious effect on the cyclic performance of the columns. For the PCCFST columns considered, the maximum lateral strength, ductility, and energy dissipation ability were enhanced by a maximum of ∼ 16%, 24%, and 14%, respectively, when compared with the counterpart CFST column. A new design guideline has been proposed based on the Eurocode and limited experimental data obtained from the present study. A comparison between the experimentally determined maximum lateral strength and the proposed guideline has been made and is found to be in good agreement.
钢管混凝土柱的抗震性能受到潜在塑性铰区破坏的严重影响。本文提出了一种利用内圆钢管对钢管混凝土圆形柱进行潜在塑性铰区约束的新技术——部分承压钢管混凝土柱。这种约束技术加强了塑性铰区域,从而提高了柱的整体结构性能。为了验证所提出的技术的有效性,共有7根柱:6根PCCFST和1根对应的CFST在恒定轴向载荷下进行了横向循环加载测试。通过改变内圆钢管的直径和高度,研究了PCCFST试件的破坏模式、滞回性能、抗弯能力、延性和耗能能力。结果表明,圆形内钢管的高度对柱的循环性能有明显的影响。对于考虑的PCCFST柱,与对应的CFST柱相比,最大侧向强度、延性和能量耗散能力分别提高了最大约16%、24%和14%。根据欧洲规范和有限的实验数据,提出了一种新的设计准则。将实验确定的最大侧向强度与建议的准则进行了比较,发现两者吻合得很好。
Design and analysis of a reconfigurable origami tube with tunable load-bearing capacity
Hua Yang, Xuan Liu, Weilin Lv, Yi Xia, Jiaming Liu, Jun Wei, Jianjun Zhang, Xu Han, Wolfgang H. Müller
doi:10.1016/j.tws.2024.112452
具有可调承载能力的可重构折纸管设计与分析
Origami tubes can be crafted from thin-walled sheets, enabling the creation of a wide range of unique three-dimensional structures that are foldable and reconfigurable through ingenious mechanical designs. In this paper, a novel reconfigurable origami tube with flat-foldable motion and tunable load-bearing capacity is proposed. The unit cell of the origami tube is designed by combining two origami triangle elements with varying creases. The geometry of the triangle elements are analysed, leading to different types of unit cells with various kinematical configurations. The proposed origami structures possess both the ability to fold flat and the flexibility to tune its load-bearing capacity while maintaining consistent external dimensions. In such a manner, the origami structure can be assembled in series or parallel and show a wide range of a programmable mechanical properties Both experimental tests and finite element models are built to investigate the deformation behaviors of the unit cells. It is found that the proposed Miura-ori structures can achieve high load bearing capability (up to 2300 times of its self weight). It is anticipated that our design and analysis approach could facilitate the development of man-made reconfigurable metamaterials.
折纸管可以由薄壁板制成,通过巧妙的机械设计,可以创造出各种独特的三维结构,这些结构可以折叠和重新配置。提出了一种具有可平折运动和可调承载能力的可重构折纸管。折纸管的单元格是由两个具有不同折痕的折纸三角形元素组合而成。分析了三角单元的几何形状,得到了具有不同运动构型的不同类型的单元格。所提出的折纸结构既具有平折的能力,又具有调整其承载能力的灵活性,同时保持一致的外部尺寸。通过这种方式,折纸结构可以串联或并联组装,并显示出广泛的可编程力学性能。建立了实验测试和有限元模型来研究单位细胞的变形行为。发现所提出的Miura-ori结构可以实现高承载能力(高达其自重的2300倍)。预计我们的设计和分析方法可以促进人造可重构超材料的发展。
Shear and bonding performances between Fe-SMA and steel for strengthening of steel structures
Xuhong Qiang, Yue Shu, Yuhang Lu, Xu Jiang
doi:10.1016/j.tws.2024.112467
钢结构强化用Fe-SMA与钢的剪切与粘结性能
Iron-based shape memory alloy (Fe-SMA) has been employed in China and the Czech Republic to reinforce steel bridges due to its outstanding self-prestressing characteristics. Nevertheless, the lack of theoretical guidelines necessitates this study to align with the practical Fe-SMA-reinforced applications in civil engineering. This study experimentally investigates the shear performance and load-transfer mechanism of 45 Fe-SMA/steel adhesive joints. Specifically, the shear characteristics of the adhesive joints affected by the various parameters of bonding layer thickness, steel plate thickness, bonding length and adhesive type are explored, the failure mode and load-displacement relationship are assessed, and some suggestions for optimization design are proposed. The experimental results demonstrate that the Fe-SMA/steel adhesive joints experiencing interface failure exhibit a linear load-displacement relationship. Contrarily, the load-displacement relationship of the adhesive joints under cohesive failure modes contains a yield segment. Longer bonding length results in more considerable failure evolution distances for Sika S02 and LPdur 03 specimens with cohesive failure, indicating better ductility of these specimens. Additionally, the epoxy adhesives of Sika S02 and LPdur 03 are preferred while employing Fe-SMA plates for bonding reinforcement of steel structures, which can maximize the characteristics of Fe-SMA to obtain stable and superior reinforcement performance. The experimental achievements have remarkable potentials for improving the in-service performance of old and damaged steel structures and other infrastructures.
铁基形状记忆合金(Fe-SMA)由于其出色的自预应力特性,已在中国和捷克共和国用于加固钢桥。然而,由于缺乏理论指导,本研究必须与土木工程中实际的fe - sma增强应用保持一致。试验研究了45个Fe-SMA/钢粘接接头的剪切性能及荷载传递机理。具体而言,探讨了黏结层厚度、钢板厚度、黏结长度和黏结类型等参数对黏结节点剪切特性的影响,评估了其破坏模式和荷载-位移关系,并提出了优化设计建议。实验结果表明,Fe-SMA/钢粘结接头界面破坏表现为线性载荷-位移关系。相反,黏结节点在黏结破坏模式下的荷载-位移关系包含一个屈服段。黏结长度越长,Sika S02和LPdur 03黏结破坏的破坏演化距离越大,表明Sika S02和LPdur 03具有较好的延性。此外,在使用Fe-SMA板进行钢结构粘接加固时,首选Sika S02和LPdur 03的环氧胶粘剂,可以最大限度地发挥Fe-SMA的特性,获得稳定而优越的加固性能。试验成果对改善老旧受损钢结构及其他基础设施的使用性能具有显著的潜力。