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【新文速递】2023年12月1日固体力学SCI期刊最新文章

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今日更新:International Journal of Solids and Structures 2 篇,Journal of the Mechanics and Physics of Solids 1 篇,Mechanics of Materials 1 篇,Thin-Walled Structures 1 篇

International Journal of Solids and Structures

Machine learning enabled identification of sheet metal localization

Muhammed Adil Yatkın, Mihkel Kõrgesaar

doi:10.1016/j.ijsolstr.2023.112592

通过机器学习识别板材定位

The Forming Limit Curve (FLC), which describes the maximum applicable strain before localization, depends on the particular material, but also on the applied load and history of the load. Recent investigations have shown that the non-proportional loading effect on the FLC can be predicted with data-driven or machine-learning-based methods. Here we compare different ML methods to their applicability in predicting localization points under multi-segmented non-proportional loading. Therefore, an FE-based metamodel is developed that allows imposing an arbitrary loading history on sheet metal to predict the point of localization. A series of virtual experiments are conducted with this metamodel to generate a database of bi-linear loading paths that are used for training. Different ML-based methods were used to predict the localization point based on the strain history data. The 1D-Convolutional Neural Network (1D-CNN), with the ability to learn dependency between input features, has the best accuracy in predicting the localization point.

成型极限曲线(FLC)描述了局部化之前的最大适用应变,它不仅取决于特定的材料,还取决于施加的载荷和载荷的历史。最近的研究表明,基于数据驱动或机器学习的方法可以预测非比例加载对 FLC 的影响。在此,我们比较了不同的 ML 方法在预测多分段非比例加载下的定位点时的适用性。因此,我们开发了一种基于有限元分析的元模型,可以在金属板上施加任意加载历史记录来预测定位点。利用该元模型进行了一系列虚拟实验,生成了一个用于训练的双线性加载路径数据库。根据应变历史数据,使用不同的基于 ML 的方法来预测定位点。一维卷积神经网络(1D-CNN)具有学习输入特征之间依赖关系的能力,在预测定位点方面具有最佳准确性。


Predicting Moisture Penetration Dynamics in Paper with Machine Learning Approach

Mossab Alzweighi, Rami Mansour, Alexander Maass, Ulrich Hirn, Artem Kulachenko

doi:10.1016/j.ijsolstr.2023.112602

用机器学习方法预测纸张的水分渗透动态

In this work, we predicted the gradient of the deformational moisture dynamics in a sized commercial paper by observing the curl deformation in response to the one-sided water application. The deformational moisture is a part of the applied liquid which ends up in the fibers causing swelling and subsequent mechanical response of the entire fiber network structure. The adapted approach combines traditional experimental procedures, advanced machine learning techniques and continuum modeling to provide insights into the complex phenomenon relevant to ink-jet digital printing in which the sized and coated paper is often used, meaning that not all the applied moisture will reach the fibers. Key material properties including elasticity, plastic parameters, viscoelasticity, creep, moisture dependent behavior, along with hygroexpansion coefficients are identified through extensive testing, providing vital data for subsequent simulation using a continuum model. Two machine learning models, a Feedforward Neural Network (FNN) and a Recurrent Neural Network (RNN), are probed in this study. Both models are trained using exclusively numerically generated moisture profile histories, showcasing the value of such data in contexts where experimental data acquisition is challenging. These two models are subsequently utilized to predict moisture profile history based on curl experimental measurements, with the RNN demonstrating superior accuracy due to its ability to account for temporal dependencies. The predicted moisture profiles are used as inputs for the continuum model to simulate the associated curl response comparing it to the experiment representing “never seen” data. The result of comparison shows highly predictive capability of the RNN. This study melds traditional experimental methods and innovative machine learning techniques, providing a robust technique for predicting moisture gradient dynamics that can be used for both optimizing the ink solution and paper structure to achieve desirable printing quality with lowest curl propensities during printing.

在这项工作中,我们通过观察单面施水时的卷曲变形,预测了规格商业用纸中的变形水分动态梯度。变形水分是施用液体的一部分,它最终会进入纤维,导致纤维膨胀,进而引起整个纤维网络结构的机械响应。这种方法结合了传统的实验程序、先进的机器学习技术和连续体建模,有助于深入了解喷墨数字印刷的复杂现象,因为在喷墨数字印刷中,通常会使用施胶纸和涂布纸,这意味着并非所有的水分都会到达纤维。通过大量测试,确定了关键材料特性,包括弹性、塑性参数、粘弹性、蠕变、湿度依赖行为以及湿膨胀系数,为随后使用连续模型进行模拟提供了重要数据。本研究中使用了两种机器学习模型,即前馈神经网络(FNN)和循环神经网络(RNN)。这两个模型都是通过数字生成的湿度曲线历史记录进行训练的,在实验数据获取具有挑战性的情况下展示了这些数据的价值。这两个模型随后被用于根据卷曲实验测量结果预测水分曲线历史,其中 RNN 由于能够考虑时间依赖性而显示出更高的准确性。预测的水分曲线被用作连续模型的输入,以模拟相关的卷曲响应,并与代表 "从未见过 "数据的实验进行比较。比较结果表明,RNN 具有很强的预测能力。这项研究融合了传统的实验方法和创新的机器学习技术,提供了一种预测湿度梯度动态的可靠技术,可用于优化油墨溶液和纸张结构,从而在印刷过程中以最低的卷曲倾向获得理想的印刷质量。


Journal of the Mechanics and Physics of Solids

Coupling diffusion and finite deformation in phase transformation materials

Tao Zhang, Delin Zhang, Ananya Renuka Balakrishna

doi:10.1016/j.jmps.2023.105501

相变材料中的耦合扩散和有限变形

We present a multiscale theoretical framework to investigate the interplay between diffusion and finite lattice deformation in phase transformation materials. In this framework, we use the Cauchy-Born Rule and the Principle of Virtual Power to derive a thermodynamically consistent theory coupling the diffusion of a guest species (Cahn-Hilliard type) with the finite deformation of host lattices (nonlinear gradient elasticity). We adapt this theory to intercalation materials—specifically Li1−2Mn2O4— to investigate the delicate interplay between Li-diffusion and the cubic-to-tetragonal deformation of lattices. Our computations reveal fundamental insights into the microstructural evolution pathways under dynamic discharge conditions, and provide quantitative insights into the nucleation and growth of twinned microstructures during intercalation. Additionally, our results identify regions of stress concentrations (e.g., at phase boundaries, particle surfaces) that arise from lattice misfit and accumulate in the electrode with repeated cycling. These findings suggest a potential mechanism for structural decay in Li2Mn2O4. More generally, we establish a theoretical framework that can be used to investigate microstructural evolution pathways, across multiple length scales, in first-order phase transformation materials.

我们提出了一个多尺度理论框架,用于研究相变材料中扩散与有限晶格变形之间的相互作用。在这一框架中,我们利用考奇-伯恩法则和虚拟力量原理,推导出一种热力学上一致的理论,将客体物种的扩散(卡恩-希利亚德型)与主晶格的有限变形(非线性梯度弹性)耦合在一起。我们将这一理论应用于插层材料--特别是 Li1-2Mn2O4--研究锂扩散与晶格立方到四方变形之间微妙的相互作用。我们的计算揭示了动态放电条件下微结构演化路径的基本观点,并对插层过程中孪生微结构的成核和生长提供了定量见解。此外,我们的研究结果还确定了应力集中区域(如相边界、颗粒表面),这些应力集中区域由晶格错配引起,并随着反复循环在电极中累积。这些发现表明了 Li2Mn2O4 结构衰变的潜在机制。更广泛地说,我们建立了一个理论框架,可用于研究一阶相变材料中跨越多个长度尺度的微结构演化路径。


Mechanics of Materials

Microstructural effects in rate-dependent responses of smooth and notched magnesium bars

Shahmeer Baweja, Shailendra P. Joshi

doi:10.1016/j.mechmat.2023.104877

光滑镁条和缺口镁条随速率变化的微观结构效应

We perform three-dimensional crystal plasticity simulations of smooth and notched bar geometries made of polycrystalline hexagonal close-packed material representing a magnesium alloy. The polycrystalline microstructure is explicitly resolved to investigate the combined effect of initial texture and grain size on the rate-dependent macroscopic responses and their micromechanical underpinnings under uniaxial and multiaxial stress states. The simulations reveal that in addition to the textural effect recently investigated by Ravaji et al. (2021), grain size plays an important role in the anisotropy of macroscopic responses. For a given texture, the lateral deformation anisotropy increases with grain size refinement for all strain rates considered here. The load-deformation responses exhibit a synergistic strengthening effect in microstructures with stronger initial textures and finer grain sizes, which is enhanced with increasing notch acuity. A transition from a conventional power-law type load-deformation response to a sigmoidal load-deformation response may occur, which depends on the imposed strain rate. It is a result of the interaction between textural weakening and grain size refinement that influence extension twinning together with an equitable landscape of the different slip mechanisms. We discuss possible implications of the net material plastic anisotropy due to texture and grain size on macroscopic failure using a micromechanical basis.

我们对以镁合金为代表的多晶六方紧密堆积材料制成的光滑和缺口棒材几何形状进行了三维晶体塑性模拟。我们明确解析了多晶微观结构,以研究在单轴和多轴应力状态下,初始纹理和晶粒大小对随速率变化的宏观响应及其微观力学基础的综合影响。模拟结果表明,除了 Ravaji 等人(2021 年)最近研究的纹理效应外,晶粒尺寸在宏观响应的各向异性中也起着重要作用。对于给定的纹理,在本文考虑的所有应变速率下,横向变形各向异性随着晶粒尺寸的细化而增加。在具有较强初始纹理和较细晶粒尺寸的微结构中,载荷-变形响应表现出协同强化效应,这种效应随着凹口敏锐度的增加而增强。从传统的幂律型载荷变形响应到西格玛载荷变形响应的转变可能会发生,这取决于施加的应变率。这是纹理弱化和晶粒细化相互作用的结果,它们与不同滑移机制的公平分布一起影响着延伸孪晶。我们以微观力学为基础,讨论了由纹理和晶粒尺寸引起的净材料塑性各向异性对宏观破坏的可能影响。


Thin-Walled Structures

Experimental study on the impact resistance and damage tolerance of thermoplastic FMLs

Lei Yang, Zhenhao Liao, Cheng Qiu, Zijing Hong, Jinglei Yang

doi:10.1016/j.tws.2023.111435

热塑性 FML 的抗冲击性和损伤耐受性实验研究

This study aimed to enhance the impact resistance of fiber metal laminates (FMLs) and achieve lightweight optimization by incorporating a new thermoplastic resin, a titanium alloy and ultra-high-molecular-weight polyethylene (UHMWPE) fiber to produce a novel type of FMLs (PEFMLs). The impact resistance of PEFMLs was analyzed through low-velocity impact tests conducted at different energy levels. Subsequently, the residual compression-after-impact (CAI) strength of the PEFMLs was evaluated through compression tests on the impacted specimens. The experimental findings revealed that PEFMLs exhibited subcritical failure when subjected to impact energies less than 35 J, with a penetration energy threshold of 55 J. Higher impact energies resulted in larger damage areas and increased plate buckling of PEFMLs, consequently leading to reduced CAI strength. The presence of metal, thermoplastic resin and UHMWPE in the PEFMLs effectively dissipated a substantial amount of impact energy while maintaining their structural integrity during both the impact and compression processes.

本研究旨在通过加入新型热塑性树脂、钛合金和超高分子量聚乙烯(UHMWPE)纤维,生产出一种新型金属纤维层压板(PEFMLs),从而提高金属纤维层压板(FMLs)的抗冲击性,并实现轻量化优化。通过在不同能量水平下进行的低速冲击试验,分析了 PEFMLs 的抗冲击性。随后,通过对冲击试样进行压缩试验,评估了 PEFMLs 的冲击后残余压缩强度(CAI)。实验结果表明,PEFML 在受到小于 35 J 的冲击能量时表现出亚临界破坏,穿透能量阈值为 55 J。PEFML 中金属、热塑性树脂和超高分子量聚乙烯的存在有效地消散了大量冲击能量,同时在冲击和压缩过程中保持了结构完整性。



来源:复合材料力学仿真Composites FEM
ACTMechanicalDeform非线性UGUM理论材料多尺度试验
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首次发布时间:2024-11-05
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【新文速递】2023年12月3日固体力学SCI期刊最新文章

今日更新:International Journal of Solids and Structures 1 篇,Mechanics of Materials 1 篇,International Journal of Plasticity 1 篇,Thin-Walled Structures 5 篇International Journal of Solids and StructuresEulerian Finite Element Implementations of a Dislocation Density-based Continuum ModelMilovan Zecevic, M.J. Cawkwell, D.J. Luscherdoi:10.1016/j.ijsolstr.2023.112590基于位错密度的连续模型的欧拉有限元实现In Eulerian finite element simulations, the mesh moves relative to the material. After every change of position between the mesh and the material, the state variables are interpolated to the new mesh position, which is referred to as advection. Large strain crystal plasticity models are based on the multiplicative decomposition of the total deformation gradient. The stress is evaluated as a function of the thermoelastic strain, temperature, and other state variables. Advection of tensor quantities, such as the strain, is coupled with possibly significant advection errors. In an effort to reduce the advection errors, we develop two rate forms of an established dislocation density-based continuum model. To that end, we replace the multiplicative decomposition of the deformation gradient with the additive decomposition of the velocity gradient, and define the stress rate instead of the total stress. The Eulerian implementation is compared with Lagrangian calculations, and two numerical examples with severe deformation levels are presented.在欧拉有限元模拟中,网格相对于材料移动。网格和材料之间的位置每次改变后,状态变量都会插值到新的网格位置,这被称为平移。大应变晶体塑性模型基于总变形梯度的乘法分解。应力作为热弹性应变、温度和其他状态变量的函数进行评估。张量(如应变)的平移可能会产生显著的平移误差。为了减少平流误差,我们开发了基于位错密度的连续模型的两种速率形式。为此,我们用速度梯度的加法分解代替了变形梯度的乘法分解,并定义了应力率而不是总应力。我们将欧拉计算与拉格朗日计算进行了比较,并给出了两个具有严重变形水平的数值示例。Mechanics of MaterialsCrystalMind: A surrogate model for predicting 3D models with recrystallization in open-die hot forging including an optimization frameworkJan Petrik, Syed Irtiza Ali, Martin Feistle, Markus Bambachdoi:10.1016/j.mechmat.2023.104875CrystalMind:用于预测开模热锻中再结晶三维模型的替代模型,包括优化框架This work introduces CrystalMind, a surrogate model developed to accurately reconstruct 3D models along with recrystallization induced by the open-die hot forging process. CrystalMind employs two types of data inputs, a 3D Model depicting pre-stroke workpiece geometry, and a forging vector outlining the proposed forging strategy. This forging strategy consists of bite infeed, bite offset, number of offsets and initial position. Moreover, a machine learning architecture with two different units, MLP-based (Multi-Layer Perceptron) and PointNET++-based was implemented and compared, demonstrating similar performance in terms of recrystallization and deformation errors. However, MLP proved 36 times faster in computational time reaching an average computational time of 5ms pro run. Furthermore, CrystalMind adheres to the volume conservation condition and limits recrystallization error to less than 2% and deformation error to less than 0.1 mm or 0.9% for the test data. Finally, CrystalMind is employed in conjunction with an optimization algorithm, leading to remarkable enhancements in time efficiency. The optimization framework can effectively optimize a forging vector(s) for one, two, or three strokes. For instance, in the case of three strokes, CrystalMind enables the optimization process to be completed within an average of 7 min, a stark contrast to the approximately 2.3 years required when utilizing FEM simulation. Overall, CrystalMind provides fast and accurate predictions of deformed 3D models with corresponding recrystallization per point caused by a forging process, something not to be found in the state of the art so far.这项工作介绍了 CrystalMind,它是一个代用模型,用于准确重建三维模型以及开模热锻工艺引起的再结晶。CrystalMind 采用两种类型的数据输入,一种是描述冲程前工件几何形状的三维模型,另一种是概述拟议锻造策略的锻造矢量。该锻造策略包括咬合进给、咬合偏移、偏移次数和初始位置。此外,基于 MLP(多层感知器)和 PointNET++ 的两种不同单元的机器学习架构也得到了实施和比较,在再结晶和变形误差方面表现出相似的性能。然而,MLP 的计算时间快了 36 倍,平均计算时间为 5 毫秒。此外,CrystalMind 遵循体积守恒条件,将测试数据的再结晶误差限制在 2% 以下,变形误差限制在 0.1 毫米或 0.9% 以下。最后,CrystalMind 与优化算法结合使用,显著提高了时间效率。优化框架可以有效优化一个、两个或三个冲程的锻造矢量。例如,在三个冲程的情况下,CrystalMind 使优化过程平均在 7 分钟内完成,与使用有限元模拟所需的约 2.3 年时间形成鲜明对比。总体而言,CrystalMind 能够快速准确地预测锻造过程中每点相应的再结晶所导致的变形三维模型,这是目前技术水平所无法实现的。International Journal of PlasticityRevealing the deformation mechanisms of <110> symmetric tilt grain boundaries in CoCrNi medium-entropy alloyDongpeng Hua, Qing Zhou, Yeran Shi, Shuo Li, Ke Hua, Haifeng Wang, Suzhi Li, Weimin Liudoi:10.1016/j.ijplas.2023.103832 揭示钴铬镍中熵合金中 <110> 对称倾斜晶界的变形机制The synergy of multiple deformation mechanisms responsible for the excellent mechanical properties attracts an increasing interest in CoCrNi medium entropy alloy (MEA). In this study, we employed molecular dynamics simulations to investigate the chemical properties of grain boundaries (GBs) and their influence on deformation mechanisms in CrCoNi MEA, with particular emphasis on role of lattice distortion and short-range order (SRO) in dislocation plasticity. After aging, we found Ni element segregate at GB through short-range diffusion driven by a more negative segregation enthalpy. The degree of SRO within the GB region is significantly correlated with the Ni concentration, and it markedly influences the structure and local stress distribution of the GB. Compared to the lattice distortion, SRO can effectively suppress the GB dislocations nucleation and slip, thereby increasing yield strength of the material. During the plastic stage, although the deformation microstructure is intimately linked to the active slip systems and grain orientation, the presence of SRO, as well as the resultant rugged dislocation pathways and increased slip resistance lowers the propensity for stacking faults and phase transformation. The current findings can enhance a fundamental comprehension of diverse deformation mechanisms in CoCrNi MEA and suggest that the chemical characteristics of GB could serve as a pivotal approach for modifying the mechanical properties of MEAs.钴铬镍中熵合金(MEA)具有优异的机械性能,其多种变形机制的协同作用引起了越来越多的关注。在本研究中,我们采用分子动力学模拟研究了铬钴镍中熵合金晶界(GB)的化学性质及其对变形机制的影响,特别强调了晶格畸变和短程有序(SRO)在位错塑性中的作用。老化后,我们发现镍元素通过短程扩散在 GB 上发生偏析,偏析焓为负值。GB区域内的SRO程度与镍浓度显著相关,并明显影响GB的结构和局部应力分布。与晶格畸变相比,SRO 能有效抑制 GB 位错成核和滑移,从而提高材料的屈服强度。在塑性阶段,虽然变形微观结构与活跃的滑移系统和晶粒取向密切相关,但 SRO 的存在以及由此产生的崎岖位错通道和滑移阻力的增加降低了堆叠断层和相变的倾向。目前的研究结果可以从根本上加深对 CoCrNi MEA 中各种变形机制的理解,并表明 GB 的化学特性可以作为改变 MEA 机械性能的关键方法。Thin-Walled StructuresMechanical performance study of a novel modular gymnasium inner sleeve all-bolt cross connection joint – part Ⅰ: experiments and finite element modelingChang-jun Zhong, Farhad Aslani, Ruo-qiang Feng, Hu-yang Li, Yong-qi Huangdoi:10.1016/j.tws.2023.111422 新型组合式体育馆内套筒全螺栓交叉连接接头的机械性能研究 - 第Ⅰ部分:实验和有限元建模The authors propose a novel movable modular gymnasium based on modular building technology to meet people's sports needs. However, the huge roof load puts higher requirements on the performance of modular units and their connecting joints. In light of this, the authors propose a novel connection joint using the inner sleeve and bolted connections, which connect the upper and lower columns of the modular unit to give it higher performance. In addition, it connects the upper and lower beams of the modular unit by bolts to improve its overall performance. The authors evaluated the mechanical properties of the connecting joints through experiments and simulations. The results indicate that the welding quality determines the beam-oriented bearing capacity of the connections, while has little impact on the column-oriented bearing capacity. It is difficult for the inner sleeve to enhance the initial stiffness and beam-oriented bearing capacity of the joints due to the initial gap between the inner sleeve and the modular column. The restraint effect of the stiffening ribs induces the deformation of the inner sleeve, and its bearing capacity increases up to 91%. The inner sleeve improves the column-ward bearing capacity and deformation capacity of the joints, and its bearing capacity rises to 135%.作者提出了一种基于模块化建筑技术的新型可移动模块化体育馆,以满足人们的体育需求。然而,巨大的屋顶荷载对模块单元及其连接接头的性能提出了更高的要求。有鉴于此,作者提出了一种新型连接接头,采用内套筒和螺栓连接,将模块单元的上下柱连接起来,使其具有更高的性能。此外,它还通过螺栓连接模块单元的上下梁,以提高其整体性能。作者通过实验和模拟评估了连接接头的机械性能。结果表明,焊接质量决定了连接处面向梁的承载能力,而对面向柱的承载能力影响不大。由于内套筒与模块柱之间存在初始间隙,因此内套筒很难提高连接的初始刚度和面向梁的承载能力。加劲肋的约束作用诱导了内套筒的变形,使其承载能力提高了 91%。内套筒提高了接合处向柱方向的承载能力和变形能力,其承载能力提高了 135%。Seismic performance of T-shaped CFST column to U-shaped steel composite beam jointsShan Gao, Rui Chen, Jie Yang, Lanhui Guo, Laiming Dengdoi:10.1016/j.tws.2023.111443T 型 CFST 柱与 U 型钢复合梁连接的抗震性能U-shaped steel-concrete composite beams have the advantages of high bearing capacity, excellent fire resistance and quick construction, when it is used with special-shaped concrete-filled steel tube columns could achieve the architectural effect of no exposed beams and columns in the interior, showing great application potential in residential buildings. In this study, three full-scale T-shaped CFST column to U-shaped steel composite beam joints with different configurations were tested under cyclic loads. The damage modes, and hysteresis performance of the joint were discussed in detail. The test results indicated that the three joints with side plate connection all showed plastic hinge damage at the beam ends of which hysteresis curves show bowed shape, with excellent energy dissipation. The setting of truss reinforcement within the U-shaped steel beam could effectively improve the ductility of the member. Based on the validated finite element model, the effects of side plate configuration, the side plate position, and tube wall thickness on the seismic performance of the joints are investigated. The design methods for the bending capacity of the joints have also been proposed.U 型钢-混凝土复合梁具有承载力高、耐火性能好、施工速度快等优点,与异型混凝土填充钢管柱配合使用,可实现室内无外露梁柱的建筑效果,在住宅建筑中具有很大的应用潜力。本研究在循环荷载下测试了三种不同构造的全尺寸 T 型 CFST 柱与 U 型钢复合梁连接。详细讨论了接头的破坏模式和滞后性能。试验结果表明,采用侧板连接的三个接头均在梁端出现塑性铰破坏,其滞后曲线呈弓形,具有良好的消能性能。在 U 型钢梁内部设置桁架加固可以有效提高构件的延性。基于已验证的有限元模型,研究了侧板配置、侧板位置和管壁厚度对接头抗震性能的影响。同时还提出了接头抗弯能力的设计方法。Seismic performance of self-centring connections with two energy dissipation stages for reusable modular steel buildingsJing He, Xuhong Zhou, Fei Xu, Yu Shi, Taichiro Okazakidoi:10.1016/j.tws.2023.111442可重复使用模块化钢结构建筑中带有两个消能阶段的自定心连接的抗震性能This paper presented a feasibility study on a self-centring connection with two energy dissipation stages for use as a combined inter-module and intra-module connection in reusable modular steel buildings. The proposed connection was equipped with shape memory alloy (SMA) disc washers and friction dampers, the former for self-centring and the latter for energy-dissipation functions. The design concept of two energy dissipation stages was to achieve structural longevity and member reuse by 1) enabling rapid recovery after small and medium earthquakes, and 2) facilitating prompt repair if at all needed after large earthquakes. An analytical model was proposed, wherein each connection element was symbolised as a rotational spring. Based on the model, a design methodology to meet the two-stage performance goals was derived, where the critical story drift ratio between the two stages was expressed as a function of the properties of friction dampers and SMA disc washers. Detailed finite element simulations were used to validate the proposed design concept and the spring model and to assess the influence of the friction dampers and SMA disc washers on the hysteresis behaviour of the connection. The results demonstrated that the proposed connection would facilitate the design objectives when it could be designed based on the proposed spring model to ensure structural longevity, member reuse, and efficient recovery and repair after seismic events.本文对可重复使用模块化钢结构建筑中作为模块间和模块内组合连接使用的具有两个消能阶段的自定心连接进行了可行性研究。拟议的连接件配备了形状记忆合金(SMA)圆盘垫圈和摩擦阻尼器,前者用于自定心,后者用于消能。两个消能阶段的设计理念是通过以下方式实现结构的使用寿命和构件的重复使用:1)在中小地震后能够快速恢复;2)在大地震后如有需要,便于及时修复。我们提出了一个分析模型,其中每个连接元件都被符号化为一个旋转弹簧。在该模型的基础上,推导出了满足两阶段性能目标的设计方法,其中两阶段之间的临界楼层漂移比表示为摩擦阻尼器和 SMA 碟形垫圈特性的函数。详细的有限元模拟用于验证所提出的设计概念和弹簧模型,并评估摩擦阻尼器和 SMA 碟形垫圈对连接滞后行为的影响。结果表明,如果能根据拟议的弹簧模型进行设计,确保结构的使用寿命、构件的重复使用以及地震事件后的有效恢复和修复,那么拟议的连接将有助于实现设计目标。Seismic pushover analysis of unbraced adjustable pallet racks in the down-aisle direction. Need for multimode analysisOriol Bové, Vinod Kumar Golla, Elena Oliver-Saiz, Jordi Bonada, Francisco López-Almansadoi:10.1016/j.tws.2023.111444无支撑可调式托盘货架顺通道方向的地震推力分析。多模式分析的必要性Modal Pushover Analysis has been proposed to account for the higher modes contribution in seismic analysis of slender structures, such as unbraced racks in the down-aisle direction. In these structures, only single-mode pushover analyses have been used so far. This paper investigates a suite of 96 unbraced representative prototype racks, and six of them are selected to be analyzed through modal pushover analysis. Results show that global damage significantly exceeds that derived from considering the first mode alone, thus proving that higher modes contribution is relevant for racks with low mass participation in the first mode (< 90%).模态推移分析法的提出,是为了在对细长结构(如下走道方向的无支撑架)进行抗震分析时,考虑较高模态的影响。在这些结构中,迄今为止只使用过单模态推移分析。本文研究了一套 96 个无支撑的代表性原型货架,并选择其中 6 个进行模态推移分析。结果表明,全局破坏大大超过了仅考虑第一模态所得出的破坏,从而证明了对于第一模态质量参与度较低(< 90%)的机架来说,更高的模态贡献是相关的。Experimental and numerical simulation study of mechanical properties of inner sleeve T-joint in modular gymnasiaChang-jun Zhong, Yong-qi Huang, Hu-yang Li, Zi-wei Yang, Ruo-qiang Feng, Farhad Aslanidoi:10.1016/j.tws.2023.111446 组合式体育馆内套筒 T 型接头力学性能的实验和数值模拟研究In response to the contradiction between the insufficient number and unreasonable distribution of stadiums in cities and the increasing demand of people for fitness, the authors propose movable modular gymnasiums. This gymnasium takes advantage of the modular building, which can be quickly built, dismantled, and reassembled to fully utilize the temporary empty land in the city to meet the fitness demand of the people. However, the box modules bear a huge roof load, which puts higher demands on the performance of the modular units and their connecting joints. This study proposes a novel joint node using an inner sleeve and bolted connections. The proposed connection uses an inner sleeve and bolts to connect the upper and lower columns of the modular unit to give it a higher bearing capacity. Bolts connect the lower unit's ceiling beam and the upper unit's floor beam to provide a better overall performance of the modular unit. The authors conducted experimental studies of 2 full-scale models and 24 finite-element parametric analyses. The results show that the welding quality determines the beam-ward bearing capacity of the joints, while it has little effect on the column-ward bearing capacity. In practical engineering, the authors suggest that the initial stiffness of the joints does not consider the contribution of the inner sleeve. The setting of stiffening ribs forces the inner sleeve to deform and force, improving the joints' mechanical properties, with the initial stiffness in the column direction increase of 25%, the initial stiffness in the beam direction increase of 31%, and a bearing capacity in the beam direction increase of 38%. The design thickness of the inner sleeve and stiffening ribs should be close to the wall thickness of the modular beam and column. The results of this paper contribute to the development of fitness for the whole population and the expansion of the application of modular buildings.针对城市体育场馆数量不足、分布不合理与人民群众日益增长的健身需求之间的矛盾,作者提出了可移动的模块化体育馆。这种体育馆利用模块化建筑的优势,可以快速搭建、拆卸、重新组装,充分利用城市临时空地,满足人们的健身需求。然而,箱体模块承受着巨大的屋顶荷载,这对模块单元及其连接节点的性能提出了更高的要求。本研究提出了一种使用内套筒和螺栓连接的新型连接节点。拟议的连接采用内套筒和螺栓连接模块单元的上下柱,使其具有更高的承载能力。螺栓连接下部单元的顶梁和上部单元的地梁,使模块单元具有更好的整体性能。作者对 2 个全尺寸模型进行了实验研究,并进行了 24 次有限元参数分析。结果表明,焊接质量决定了接头的梁向承载能力,而对柱向承载能力影响不大。在实际工程中,作者建议接头的初始刚度不要考虑内套筒的作用。加劲肋的设置迫使内套筒变形受力,改善了接头的力学性能,柱向初始刚度提高了 25%,梁向初始刚度提高了 31%,梁向承载力提高了 38%。内套筒和加劲肋的设计厚度应接近模块化梁和柱的壁厚。本文的研究结果有助于全民健身运动的开展和模块化建筑应用范围的扩大。来源:复合材料力学仿真Composites FEM

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