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Machine learning based multi-objective optimization on shear behavior of the inter-module connection 基于机器学习的多目标优化模块间连接的剪切行为
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-18 DOI: 10.1016/j.tws.2024.112596
En-Feng Deng , You-Peng Du , Xun Zhang , Jun-Yi Lian , Zhe Zhang , Jun-Feng Zhang
Prefabricated prefinished volumetric construction (PPVC) has become a research hotspot in recent years. Inter-module connections have a crucial influence on the mechanical behavior of PPVC. However, current studies on shear behavior and optimization design method of the inter-module connection are insufficient. This paper investigated shear behavior and machine learning based optimization method of an innovative fully bolted liftable connection (FBLC) for PPVC. The failure mode, force transferring mechanism, and ultimate load bearing capacity of the FBLC under shear force were revealed by the shear behavior tests. Four specimens were tested and the design parameters included the strength and number of the long stay bolts. Subsequently, a refined finite element model (FEM) of the FBLC was established and validated with the ratios of the shear bearing capacity between the FEA and test results ranging from 0.99 to 1.10. Then, six mainstream machine learning algorithms were utilized to predict shear behavior of the FBLC. The Genetic Algorithm Optimized Neural Network (GANN) provided better prediction accuracy on the shear bearing capacity, with an improvement on R2 by 0.1 % – 3 % compared with other algorithms. Similarly, the Support Vector Regression (SVR) showed higher prediction accuracy on the ultimate displacement, improving R2 by 0.4 % – 12.9 % compared with other algorithms. A stacking algorithm combing the GANN and SVR was developed as the proxy model between the input variables and optimization metrics. In addition, the NSGA-II algorithm was linked to establish a multi-objective optimization method on shear behavior of the FBLC. The yield load, ultimate load and steel consumption were selected as the optimization objectives and the stacking algorithm was used as the proxy model. The Pareto optimal solution sets on the optimization objectives were explored by the NSGA-II algorithm and the optimization design method of the FBLC was established. Compared with the unoptimized specimen, the yield and ultimate shear bearing capacity of the optimized specimen were increased by 113.5 % and 123.6 %, respectively, with the steel consumption reduced by 26.3 %. Finally, a four-story PPVC was established, and the static analysis was carried out under vertical load and wind load. The shear behavior of the FBLC and inter-story drift ratio of the PPVC before and after optimization were compared to verify the reliability of the optimization method.
预制预成品体积建筑(PPVC)已成为近年来的研究热点。模块间连接对 PPVC 的力学性能有着至关重要的影响。然而,目前对模块间连接的剪切行为和优化设计方法研究不足。本文研究了 PPVC 创新全螺栓可升降连接(FBLC)的剪切行为和基于机器学习的优化方法。剪切行为试验揭示了 FBLC 在剪力作用下的破坏模式、传力机制和极限承载能力。测试了四个试样,设计参数包括长留螺栓的强度和数量。随后,建立并验证了 FBLC 的精细有限元模型(FEM),有限元分析与试验结果之间的剪切承载力比率为 0.99 至 1.10。然后,利用六种主流机器学习算法来预测 FBLC 的剪切行为。遗传算法优化神经网络(GANN)提供了更好的剪切承载力预测精度,与其他算法相比,R2 提高了 0.1 % - 3 %。同样,支持向量回归(SVR)对极限位移的预测精度更高,与其他算法相比,R2 提高了 0.4 % - 12.9 %。结合 GANN 和 SVR 开发了一种堆叠算法,作为输入变量和优化指标之间的代理模型。此外,还将 NSGA-II 算法与 FBLC 的剪切行为联系起来,建立了一种多目标优化方法。选择屈服载荷、极限载荷和钢材消耗作为优化目标,并使用堆叠算法作为代理模型。通过 NSGA-II 算法探索了优化目标的帕累托最优解集,并建立了 FBLC 的优化设计方法。与未优化试件相比,优化试件的屈服承载力和极限剪切承载力分别提高了 113.5 % 和 123.6 %,钢材消耗量减少了 26.3 %。最后,建立了一个四层的 PPVC,并在垂直荷载和风荷载下进行了静力分析。比较了优化前后 FBLC 的剪切行为和 PPVC 的层间漂移率,验证了优化方法的可靠性。
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引用次数: 0
Uncertainty sensitivity analysis for vibration properties of composite doubly-curved shallow shells using Kriging method 使用克里金法进行复合双曲浅壳振动特性的不确定性敏感性分析
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-18 DOI: 10.1016/j.tws.2024.112600
Yaoye Wang , Rui Zhong , Qingshan Wang , Liming Chen , Bin Qin
This paper presents a Kriging based global sensitivity analysis (GSA) method for the frequency response of displacements of composite doubly-curved shallow shells. A unified solution is utilized to develop the dynamic vibration formulation using the First-order Shear Deformation Theory (FSDT) and the Rayleigh–Ritz method. Kriging surrogate model is employed to substitute the frequency response function (FRF) of displacements. Ten parameters including materials and geometrical dimension are considered as input uncertain variables. A variance-based GSA method for dynamic model is employed to quantify the influence of each uncertain parameter. In addition, to avoid the computational burden of Monte Carlo simulation method (MCS), the presented sensitivity indices are computed analytically based on the Kriging mode, which further improves computational efficiency. Based on the convergence studies and comparison with traditional methods, the accuracy and efficiency of the present method are validated. The results shows that the frequency response of displacements exhibits greater sensitivity to changes in width, and thickness is more influential than others in the example from this article. Finally, the presented numerical results demonstrate vibration characteristics of different types of shells and observation points, which can also serve as a reference for further study on uncertainty-propagation analysis.
本文提出了一种基于克里金法的全局灵敏度分析(GSA)方法,用于分析复合材料双曲浅壳的位移频率响应。利用一阶剪切变形理论(FSDT)和 Rayleigh-Ritz 方法,采用统一的解决方案来制定动态振动公式。采用克里金替代模型来替代位移的频率响应函数(FRF)。包括材料和几何尺寸在内的十个参数被视为输入不确定变量。采用基于方差的动态模型 GSA 方法来量化每个不确定参数的影响。此外,为了避免蒙特卡罗模拟法(MCS)的计算负担,所提出的灵敏度指数是基于克里金模式分析计算的,这进一步提高了计算效率。基于收敛性研究以及与传统方法的比较,验证了本方法的准确性和高效性。结果表明,在本文的示例中,位移的频率响应对宽度的变化表现出更大的敏感性,而厚度的影响比其他因素更大。最后,本文给出的数值结果展示了不同类型壳体和观测点的振动特征,也可作为进一步研究不确定性传播分析的参考。
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引用次数: 0
Thin-layer Ultra-High-Strength Engineered Cementitious Composites (UHS-ECC) reinforced with small-diameter FRP bars for structural strengthening 用小直径玻璃钢条加固的薄层超高强度工程水泥基复合材料(UHS-ECC)用于结构加固
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-18 DOI: 10.1016/j.tws.2024.112592
Ji-Xiang Zhu , Ke-Fan Weng , Wei-He Liu , Bo-Tao Huang , Kai-Di Peng , Ji-Hua Zhu , Jian-Guo Dai
This study proposed a novel strengthening system for reinforced concrete (RC) structures using a thin layer of Ultra-High-Strength Engineered Cementitious Composites (UHS-ECC) reinforced with small-diameter Fiber-Reinforced Polymer (FRP) bars. Experimental investigation, digital image correlation analysis, and numerical simulation were conducted to evaluate the flexural performance and failure mechanism of RC beams strengthened with 20-mm UHS-ECC layers and 3-mm FRP bars. It was found that the 20-mm UHS-ECC layer alone improved the load capacity of RC beams by 8.3 %, though with reduced deflection, whereas incorporating two 3-mm FRP bars increased load capacity by up to 40.4 %, without sacrificing deflection. Failure in all specimens was caused by concrete crushing; however, FRP-reinforced UHS-ECC layers mitigated early crack localization, significantly enhancing both strength and ductility. This study also revealed that cast-in-place FRP-reinforced UHS-ECC layers exhibited higher load capacity and could avoid ECC/concrete interfacial cracks compared to epoxy-bonded prefabricated layers. A three-dimensional finite element model was proposed for the strengthening system, and the flexural behavior was successfully predicted. It is revealed that the FRP-to-UHS-ECC bond had a marginal influence on performance, while the bond at the UHS-ECC-to-concrete interface significantly impacted flexural behavior. Remarkably, the small-diameter FRP bar achieved 75 % of its tensile strength at the ultimate stage. These findings underscore the potential of FRP-reinforced UHS-ECC layers as an effective solution for enhancing the mechanical and durability performance of RC structures.
本研究提出了一种新型钢筋混凝土(RC)结构加固系统,即使用超高强度工程水泥基复合材料(UHS-ECC)薄层和小直径纤维增强聚合物(FRP)条进行加固。通过实验研究、数字图像相关分析和数值模拟,对使用 20 毫米 UHS-ECC 层和 3 毫米 FRP 杆件加固的 RC 梁的抗弯性能和破坏机理进行了评估。结果发现,单独使用 20 毫米的 UHS-ECC 层可将 RC 梁的承载能力提高 8.3%,但挠度有所减小;而使用两根 3 毫米的玻璃钢条可将承载能力提高 40.4%,但挠度没有减小。所有试样的破坏都是由混凝土破碎引起的;然而,玻璃钢加固的 UHS-ECC 层减轻了早期裂缝的局部化,显著提高了强度和延展性。这项研究还表明,与环氧树脂粘结的预制层相比,现浇 FRP 加固 UHS-ECC 层具有更高的承载能力,并能避免 ECC/混凝土界面裂缝。针对该加固系统提出了一个三维有限元模型,并成功预测了其抗弯行为。结果表明,玻璃钢与 UHS-ECC 的粘结对性能的影响微乎其微,而 UHS-ECC 与混凝土界面的粘结则对抗弯行为产生了重大影响。值得注意的是,小直径玻璃钢条在极限阶段达到了其抗拉强度的 75%。这些发现凸显了玻璃钢加固 UHS-ECC 层作为增强 RC 结构力学和耐久性能的有效解决方案的潜力。
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引用次数: 0
RFOR-DQHFEM: Hybrid relaxed first-Order reliability and differential quadrature hierarchical finite element method for multi-physics reliability analysis of conical shells RFOR-DQHFEM:用于锥壳多物理场可靠性分析的混合松弛一阶可靠性和微分正交分层有限元法
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-18 DOI: 10.1016/j.tws.2024.112583
M. Furjan , R. Kolahchi , M. Yaylacı
In this current work, a hybrid reliability analysis and theoretical frequency technique are suggested for the reliability response of conical shells. Two levels of analyses are proposed as the main loop of the reliability method for finding the failure probability and the second level applied in the main loop for giving the performance function of frequency applied in conical shell structures with multi-physics vibration analysis. A dynamical adjusting procedure is proposed for computing the relaxed factor using the enough descent condition inside the reliability method. The superior convergence rate is considered for selecting the relaxed factor of the proposed first-order reliability method named RFORM. An elastic-electro-mechanical model based on the Higher-Order Shear Deformation Theory (HSDT) is extended for frequency analysis of conical shells. The innovative numerical procedure named Differential Quadrature Hierarchical Finite Element Method (DQHFEM) as a robust framework for giving the vibration behavior of studied mechanical structures is applied for solving motion equations. The developing DQHFEM and RFORM are applied for the laminated, nanocomposite, and piezoelectric conical shell structures with multi-source uncertainties. Increasing the volume percentage of nanoparticles from 0% to 10% significantly enhances the reliability index, with carbon nanoparticles showing a 132% increase, silica nanoparticles showing a 97% increase, and other nanoparticles showing an approximate 40% increase. Also, as moisture content increases from 0% to 30%, the reliability index for a thickness-to-large-radius ratio of 0.2 drops by about five times. Excessive moisture levels (above 20%) result in a negative reliability index, indicating a hazardous condition.
在当前这项工作中,针对锥壳的可靠性响应提出了混合可靠性分析和理论频率技术。提出了两个层次的分析,一个是可靠性方法的主循环,用于计算失效概率;另一个是主循环中的第二个层次,用于给出频率的性能函数,应用于锥形壳体结构的多物理场振动分析。提出了一种动态调整程序,利用可靠性方法中的足够下降条件计算松弛因子。在选择名为 RFORM 的一阶可靠性方法的松弛因子时,考虑了卓越的收敛率。基于高阶剪切变形理论(HSDT)的弹性机电模型被扩展用于锥壳的频率分析。名为 "微分正交分层有限元法(DQHFEM)"的创新数值程序作为一种稳健的框架,用于给出所研究机械结构的振动行为,并应用于求解运动方程。开发的 DQHFEM 和 RFORM 被应用于具有多源不确定性的层状、纳米复合材料和压电锥壳结构。将纳米粒子的体积百分比从 0% 提高到 10%,可显著提高可靠性指数,其中碳纳米粒子提高了 132%,硅纳米粒子提高了 97%,其他纳米粒子提高了约 40%。此外,随着水分含量从 0% 增加到 30%,厚度与大半径比为 0.2 的可靠性指数下降了约五倍。水分含量过高(超过 20%)会导致可靠性指数为负值,表明存在危险情况。
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引用次数: 0
Propagation of leaky surface acoustic waves in a layered piezoelectric semiconductor structure 层状压电半导体结构中泄漏表面声波的传播
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-18 DOI: 10.1016/j.tws.2024.112601
Yuyang Zou, Qingguo Xia, Menghui Xu, Jia Lou, Minghua Zhang, Jianke Du
Some piezoelectric materials, such as ZnO and AlN, have not only piezoelectric properties but also semiconductor property. In this paper, an analytical solution of the leaky surface acoustic waves (LSAW) is developed for the structure composed of piezoelectric substrate boned with piezoelectric semiconductor (PSC) film using the partial wave method. Furthermore, the dispersion, loss, and attenuation curves of the LSAW in the composite structure have been obtained by combining the boundary conditions at the top of the film and the continuity conditions on the interface between the film and the substrate. Numerical examples illustrate the effects of PSC film thickness-to-wavelength ratio, steady-state carrier concentration, and biasing electric field on the dispersion, loss, and attenuation curves of LSAW in AlN film/LiNbO3 substrate. In addition, we conducted simulation by means of the PDE module in COMSOL. The theoretical results are consistent with the simulations, which could be helpful for the design of surface acoustic wave devices based on PSC materials.
一些压电材料(如 ZnO 和 AlN)不仅具有压电特性,还具有半导体特性。本文采用偏波法,建立了由压电衬底和压电半导体(PSC)薄膜组成的结构的漏表面声波(LSAW)解析解。此外,通过结合薄膜顶部的边界条件和薄膜与衬底界面上的连续性条件,还得到了复合结构中泄漏声波的频散、损耗和衰减曲线。数值实例说明了 PSC 薄膜厚度波长比、稳态载流子浓度和偏置电场对 AlN 薄膜/LiNbO3 衬底中 LSAW 的色散、损耗和衰减曲线的影响。此外,我们还利用 COMSOL 中的 PDE 模块进行了仿真。理论结果与仿真结果一致,有助于设计基于 PSC 材料的表面声波器件。
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引用次数: 0
Progressive collapse of beam-to-upright subassemblies of steel storage racks under a column removal scenario 拆除立柱情况下钢制仓储架从横梁到直立组件的渐进式坍塌
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-17 DOI: 10.1016/j.tws.2024.112575
Liusi Dai , Hao Yao , Shen Yan , Chong Ren
This paper presents an experimental investigation into progressive collapse behaviour of steel storage pallet racks under a column removal scenario. The double-half-span substructure is applied in experimental tests. A total of eight substructures are tested, considering two types of beam-to-upright connections, i.e., boltless and bolted connections, commonly used in pallet racks. Different upright profiles and thicknesses, varied beam heights, and the number of tabs are carefully considered in the tests, and their effects on progressive collapse behaviour of pallet racks are thus evaluated. In particular, the influence of pallet loads is carefully evaluated in this paper. Detailed experimental results of all specimens are provided, including the full-range force-displacement curves and the failure modes. The dominated failure modes observed in the tests are the combination of tab crack and bolt bearing failure leading to tearing of beam-end-connector (T+B), the combination of tab crack and bolt bearing failure leading to tearing of upright wall (T+C), and tab crack (T). The test results revealed that the presence of pallet loads greatly influences structural progressive collapse behaviour and thus should be considered in further studies. Moreover, in bolted connections, smaller beam heights and thinner column thicknesses exhibit better resistance against progressive collapse. Whereas in boltless connections, increasing the number of tabs enhances the resistance against progressive collapse. Generally, the bolted connections are proven to have better resistance against progressive collapse than boltless connections and can be used in storage racks to improve structural robustness.
本文介绍了钢制存储托盘货架在支柱拆除情况下的渐进式坍塌行为实验研究。实验测试采用了双半跨下部结构。共测试了八种下部结构,考虑了托盘货架中常用的两种类型的梁与直立架连接,即无螺栓连接和螺栓连接。试验中仔细考虑了不同的直立型材和厚度、不同的横梁高度和插片数量,从而评估了它们对托盘货架渐进式坍塌行为的影响。本文尤其仔细评估了托盘载荷的影响。本文提供了所有试样的详细实验结果,包括全范围力-位移曲线和破坏模式。试验中观察到的主要失效模式有:导致梁端连接件撕裂的凸台裂缝和螺栓支座失效组合(T+B)、导致直立墙撕裂的凸台裂缝和螺栓支座失效组合(T+C)以及凸台裂缝(T)。试验结果表明,托盘荷载的存在会极大地影响结构的渐进式坍塌行为,因此应在进一步的研究中加以考虑。此外,在螺栓连接中,较小的梁高和较薄的柱厚能更好地抵抗渐进式坍塌。而在无螺栓连接中,增加连接片的数量可增强对渐进式坍塌的抵抗力。总体而言,事实证明螺栓连接比无螺栓连接具有更好的抗渐进式坍塌能力,可用于仓储货架以提高结构的坚固性。
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引用次数: 0
Unraveling anisotropic mechanical behaviors of lithium-ion battery separators: Microstructure insights 揭示锂离子电池隔膜的各向异性机械行为:微观结构洞察
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-16 DOI: 10.1016/j.tws.2024.112593
Zhiwei Hao , You Gao , Ji Lin , Lubing Wang
The mechanical properties of separators significantly affect the electrochemical stability and potential short circuit risks in lithium-ion batteries. An important aspect of their mechanical behavior is their anisotropy, which is predominantly influenced by the microstructures formed during manufacturing process. This study aims to bridge the gap between the anisotropic mechanical features of the separators and their microstructures caused by the manufacturing methods. Initially, we delve into the characterization of separators, featuring their heterogeneous components and orientated arrangement of fibers. Then, we conduct uniaxial tensile tests to measure the stress-strain relationships of separators along the machine direction (MD), diagonal direction (DD), and transverse direction (TD), revealing pronounced anisotropy in both strength and rate sensitivity. Subsequently, image processing techniques is adopted to obtain a representative configuration of separators, which is further divided into fibers and lamellae. According to the manufacturing process of separators, a viscoplastic model is used to describe the mechanical behavior of lamellae while a strengthened viscoplastic model is utilized to mimic the mechanical response of fibers. The finite element analyses underscore the dominant role of orientated fibers in determining anisotropic mechanical properties. Furthermore, we explore the effects of manufacturing and geometry parameters on the separator's anisotropic mechanical behavior. This research provides valuable insights for optimizing manufacturing parameters and enhancing safety measures for lithium-ion batteries.
隔膜的机械特性对锂离子电池的电化学稳定性和潜在的短路风险有重大影响。其机械行为的一个重要方面是各向异性,而这主要受到制造过程中形成的微结构的影响。本研究旨在弥合隔膜各向异性机械特征与制造方法造成的微结构之间的差距。首先,我们深入研究了分离器的特征,包括其异质成分和纤维的定向排列。然后,我们进行单轴拉伸试验,测量分离器沿机器方向(MD)、对角线方向(DD)和横向方向(TD)的应力-应变关系,发现其在强度和速率敏感性方面都存在明显的各向异性。随后,采用图像处理技术获得了分离器的代表性构型,并将其进一步划分为纤维和薄片。根据分离器的制造工艺,采用粘塑性模型来描述薄片的机械行为,同时采用强化粘塑性模型来模拟纤维的机械响应。有限元分析强调了定向纤维在决定各向异性机械性能中的主导作用。此外,我们还探讨了制造和几何参数对分离器各向异性机械行为的影响。这项研究为优化制造参数和加强锂离子电池的安全措施提供了宝贵的见解。
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引用次数: 0
Creep relaxation to relieve residual stress in girth-butt welded X80 pipelines: Simulation and experiment 通过蠕变松弛释放 X80 管道环缝对接焊接中的残余应力:模拟和实验
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-16 DOI: 10.1016/j.tws.2024.112597
Xiaoguang Huang , Hehe Liu , Chang Huang , Jiren Cui , Zhenxiong Xiao , Xiuxing Zhu
The residual stress in girth-butt weld presents safety risks for large-diameter oil-gas pipelines, necessitating an in-depth investigation into the welding residual stress and the development of effective methods to mitigate these stresses, thereby enhancing structural integrity. In this work, a finite element girth-butt welding model was developed to predict the residual stress of X80 pipelines. The residual stress relief resulting from local post-weld heat treatment (PWHT) was simulated based on the Norton creep model applicable to X80 steel. The simulation results, encompassing the residual stress both before and after PWHT, were validated through blind-hole drilling measurements. The results demonstrate that the welding residual stresses across all orientations were significantly reduced following PWHT, with a maximum stress reduction of approximately 360 MPa. The primary mechanical mechanism for residual stress relief was identified as high-temperature creep, and it was concluded that the PWHT alleviated welding residual stress effectively when the heating temperature exceeded the creep activation temperature. The consistency between the finite element analysis results and the experimentally measured residual stresses affirms the validity and feasibility of the finite-element-based approach for predicting welding residual stresses.
环缝对接焊缝的残余应力给大口径油气管道带来了安全隐患,因此有必要对焊接残余应力进行深入研究,并开发有效的方法来缓解这些应力,从而提高结构的完整性。在这项工作中,开发了一个有限元环缝对接焊接模型来预测 X80 管道的残余应力。根据适用于 X80 钢的诺顿蠕变模型,模拟了局部焊后热处理(PWHT)产生的残余应力释放。模拟结果包括 PWHT 前后的残余应力,并通过盲孔钻孔测量进行了验证。结果表明,在 PWHT 之后,所有方向的焊接残余应力都显著降低,最大应力降低约 360 兆帕。残余应力释放的主要机械机制被确定为高温蠕变,并得出结论:当加热温度超过蠕变激活温度时,PWHT 能有效缓解焊接残余应力。有限元分析结果与实验测量的残余应力之间的一致性证实了基于有限元的焊接残余应力预测方法的有效性和可行性。
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引用次数: 0
Damage behavior of composite honeycomb sandwich structure subject to low-velocity impact and compression-after-impact using experimental and numerical methods 用实验和数值方法研究复合蜂窝夹层结构在低速冲击和冲击后压缩作用下的损伤行为
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-16 DOI: 10.1016/j.tws.2024.112594
Wanhui Ma, Hongliang Tuo, Qingtian Deng, Xinbo Li
The paper studies the damage initiation and evolution of composite honeycomb sandwich structure subject to low-velocity impact and CAI (compression after impact) loadings by a combination of experimental and numerical methods. The impact responses including impact force and energy absorption were obtained through impact tests, and detailed damage analysis was conducted using various testing methods including ultrasonic C-scan, DIC (digital image correlation), infrared thermography and SEM (scanning electron microscope). A damage model based on MMF (micro-mechanics of failure) and cohesive behavior were used to predict the mechanical behavior of composite facesheets, and an elastoplastic constitutive model with ductile damage was used to model the honeycomb core. The experimental and numerical results show good agreements and reveal that the matrix damage, delamination, core crushing and fiber damage will be induced in the composite honeycomb sandwich structure depending on the impact energy levels. During the CAI process, the strain concentration in the impact region will lead to local buckling of the sandwich structure, and the damage expands from the impact region to the free edges along the transverse direction until the final collapse, which will cause an obvious temperature increase in the damage area.
本文采用实验和数值方法相结合的方法,研究了复合蜂窝夹层结构在低速冲击和 CAI(冲击后压缩)载荷作用下的损伤起始和演变过程。通过冲击试验获得了包括冲击力和能量吸收在内的冲击响应,并使用超声波 C 扫描、数字图像相关、红外热成像和扫描电子显微镜等多种测试方法进行了详细的损伤分析。采用基于 MMF(失效微观力学)和内聚行为的损伤模型来预测复合材料面片的力学行为,并采用具有韧性损伤的弹塑性构成模型来模拟蜂窝芯。实验结果和数值结果显示出良好的一致性,并揭示出复合材料蜂窝夹层结构中会根据冲击能量水平诱发基体损伤、分层、芯材破碎和纤维损伤。在 CAI 过程中,冲击区域的应变集中将导致夹层结构的局部屈曲,损伤沿横向从冲击区域向自由边缘扩展,直至最终坍塌,这将引起损伤区域明显的温度升高。
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引用次数: 0
A one-time training machine learning method for general structural topology optimization 用于一般结构拓扑优化的一次性训练机器学习方法
IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2024-10-16 DOI: 10.1016/j.tws.2024.112595
Sen-Zhen Zhan , Xinhong Shi , Xi-Qiao Feng , Zi-Long Zhao
Machine learning (ML) methods have found some applications in structural topology optimization. In the existing methods, however, the ML models need to be retrained when the design domains and supporting conditions have been changed, posing a limitation to their wide applications. In this paper, we propose a one-time training ML (OTML) method for general topology optimization, where the self-attention convolutional long short-term memory (SaConvLSTM) model is introduced to update the design variables. An extension–division approach is used to enrich the training sets. By developing a splicing strategy, the training results of a small design space (i.e., a basic cell of either two- or three-dimensions) can be extended to tackling the optimization problem of a large design domain with arbitrary geometric shapes. Using the OTML method, the ML model needs to be trained for only one time, and the trained model can be used directly to solve various optimization problems with arbitrary shapes of design domains, loads, and boundary conditions. In the SaConvLSTM model, the material volume of the post-processed thresholded designs can be precisely controlled, though the control precision of the gray-scale designs might be slightly sacrificed. The effects of model parameters on the computational cost and the result quality are examined. Four examples are provided to demonstrate the high performance of this structural design method. For large-scale optimization problems, the present method can accelerate the structural form-finding process. This study holds a promise in the high-resolution structural form-finding and transdisciplinary computational morphogenesis.
机器学习(ML)方法已在结构拓扑优化中得到一些应用。然而,在现有方法中,当设计领域和支持条件发生变化时,ML 模型需要重新训练,这限制了其广泛应用。在本文中,我们提出了一种用于一般拓扑优化的一次性训练 ML(OTML)方法,其中引入了自注意卷积长短时记忆(SaConvLSTM)模型来更新设计变量。采用扩展-分割方法来丰富训练集。通过开发一种拼接策略,可以将小设计空间(即二维或三维的基本单元)的训练结果扩展到处理具有任意几何形状的大设计域的优化问题。使用 OTML 方法,ML 模型只需训练一次,训练后的模型可直接用于解决具有任意形状设计域、载荷和边界条件的各种优化问题。在 SaConvLSTM 模型中,虽然灰度设计的控制精度可能会略有降低,但后处理阈值设计的材料体积可以得到精确控制。我们研究了模型参数对计算成本和结果质量的影响。本文提供了四个实例来证明这种结构设计方法的高性能。对于大规模优化问题,本方法可以加速结构形式的寻找过程。这项研究为高分辨率结构形式寻找和跨学科计算形态发生带来了希望。
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Thin-Walled Structures
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