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Nonlinear aeroelastic metastructure for wing flutter enhancement: modeling, simulation and wind tunnel experiment 用于机翼颤振增强的非线性气动弹性元结构:建模、仿真和风洞实验
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-27 DOI: 10.1016/j.compstruct.2026.120104
Wei Tian , Yiheng Wang , Meng Li , Ergao Li , Tian Zhao , Zhichun Yang
To enhance aeroelastic stability in aircraft lifting surfaces, this study proposes a novel nonlinear metastructure wing (NMW) integrated with clearance-type nonlinear resonators (CNRs) for passive flutter suppression, addressing limitations inherent in conventional nonlinear stiffness designs. Each CNR comprises a cantilever-beam resonator and two pairs of symmetrically distributed cantilever beams, generating tunable non-smooth nonlinear stiffness enabled by adjusting the piecewise stiffness ratio and clearance size. An aeroelastic model of a long-straight wing coupled with clearance-type nonlinear metastructure in subsonic flow is developed, employing unsteady aerodynamic model based on subsonic lifting surface theory with minimum state approximation. The influence mechanisms of CNR structural parameters and distributions on linear flutter stability and post-flutter response behaviors are elucidated. Results demonstrate that tuning the CNR fundamental frequency induces distinct flutter coupling patterns, with an optimal design frequency maximizing the stability boundary of limit cycle oscillations for the NMW. A multi-frequency resonator design strategy of CNRs is further developed to simultaneously suppress multiple flutter instability modes, substantially improving the aeroelastic stability margin. Notably, the NMW with low-added-mass CNRs (adding approximately 8% mass) achieves significant post-flutter vibration reduction and a 49.4% enhancement in aeroelastic stability. Furthermore, wind tunnel tests further validate an approximate 40% increase in aeroelastic stability boundary compared to the baseline wing, demonstrating good agreement with theoretical predictions. This work establishes clearance-type nonlinear metastructure as an effective approach for passive flutter suppression in aircraft wings.
为了提高飞机升力表面的气动弹性稳定性,本研究提出了一种新型非线性元结构机翼(NMW),该机翼集成了间隙型非线性谐振器(cnr),用于被动颤振抑制,解决了传统非线性刚度设计固有的局限性。每个CNR包括一个悬臂梁谐振器和两对对称分布的悬臂梁,通过调整分段刚度比和间隙大小来产生可调的非光滑非线性刚度。采用基于最小状态近似亚音速升力面理论的非定常气动模型,建立了含间隙型非线性元结构的长直翼亚声速气动弹性模型。阐明了CNR结构参数和结构分布对线性颤振稳定性和颤振后响应行为的影响机理。结果表明,调整CNR基频可产生明显的颤振耦合模式,优化设计频率可最大化NMW极限环振荡的稳定性边界。进一步提出了cnr的多频谐振腔设计策略,可同时抑制多种颤振失稳模式,大大提高了气动弹性稳定裕度。值得注意的是,具有低质量cnr的NMW(增加约8%的质量)实现了显着的颤振后减振和49.4%的气动弹性稳定性增强。此外,风洞试验进一步验证了与基线机翼相比,气动弹性稳定边界增加了约40%,与理论预测很好地吻合。本文建立了间隙型非线性元结构作为飞机机翼被动颤振抑制的有效方法。
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引用次数: 0
Post-Indentation residual strain field analysis of carbon fiber reinforced composite materials with interface effects 考虑界面效应的碳纤维增强复合材料压痕后残余应变场分析
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-14 DOI: 10.1016/j.compstruct.2026.120064
S.Y. Wang , F.C. Lang , Y.M. Xing
The interface is an important component of fiber-reinforced resin-based composite materials, and its microstructure, size, and mechanical properties significantly influence the overall performance of the composite material. By combining nanoindentation technology with geometric phase analysis (GPA), the residual indentation strain field at the interface of carbon fiber reinforced resin composite materials can be analyzed while directly obtaining the micro mechanical properties of the materials. The results indicate that fibers, the matrix, and the interfaces between the fiber and matrix in composite materials exhibit different mechanical responses to indentation loads, resulting in varying degrees of plastic deformation. Indentation on the carbon fibers induces significant shear stress at the interface, resulting in debonding between the fibers and the matrix. The residual strain field post-indentation at different positions was characterized using GPA. Cracks develop as a result of the interface and fiber debonding following indentation. Strain concentration occurs near the crack edge, and the maximum radial residual strain around the crack was 0.248, with the range of influence being 0.2–0.5 μm. At the tip of the indentation, compared with the strain field at the interface near the resin-rich region, the strain field at the interface affected by fiber reinforcement decreased by 85% compared with the strain field at the interface near the resin-rich region, indicating that the fiber effectively enhanced the mechanical properties of the interface.
界面是纤维增强树脂基复合材料的重要组成部分,其微观结构、尺寸和力学性能对复合材料的整体性能有重要影响。将纳米压痕技术与几何相分析(GPA)相结合,可以分析碳纤维增强树脂复合材料界面处的残余压痕应变场,同时直接获得材料的微观力学性能。结果表明,复合材料中的纤维、基体以及纤维与基体之间的界面在压痕载荷作用下表现出不同的力学响应,导致不同程度的塑性变形。碳纤维上的压痕在界面处产生显著的剪切应力,导致纤维与基体之间的脱粘。利用GPA对压痕后不同位置的残余应变场进行了表征。裂纹是由于压痕后的界面和纤维脱粘而产生的。应变集中在裂纹边缘附近,裂纹周围径向残余应变最大值为0.248,影响范围为0.2 ~ 0.5 μm。在压痕尖端,与富树脂区附近界面处的应变场相比,纤维增强后界面处的应变场比富树脂区附近界面处的应变场减小了85%,说明纤维有效地增强了界面的力学性能。
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引用次数: 0
Mesoscale damage modeling of 3D woven composites under quasi-static loads: Incorporating plasticity and fiber misalignment 准静态载荷下三维编织复合材料的细观损伤建模:考虑塑性和纤维错位
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-28 DOI: 10.1016/j.compstruct.2026.120111
Hongjian Wei , Xianglin Huang , Xiongwen Jiang , Wenbo Xie , Yue Li , Geng Zhao , Wei Zhang
In this paper, a high-fidelity mesoscale elastic–plastic damage model is developed for 3D woven composites (3DWCs) that fully couples the plastic behavior of yarns and matrix. A novel transversely isotropic elastic–plastic damage constitutive law is proposed to capture the nonlinear behavior of yarns, explicitly integrating stress–strain data of yarns under various loading conditions. To predict fiber kinking failure under compressive loading, an efficient and numerically tractable failure criterion is developed, accounting for fiber misalignment. Quasi-static tensile and compressive tests were conducted along the warp direction of 3DWCs, followed by post-test damage characterization using micro X-ray computed tomography. The proposed mesoscale model accurately predicts the macroscopic response and reproduces experimental strain fields acquired by digital image correlation, demonstrating its validity. By combining experimental and numerical results, the study offers new insights into the complex damage mechanisms of 3DWCs under quasi-static tensile and compressive loading. A parametric study further investigates the influence of fiber misalignment on compressive failure, and the role of the constituent material plasticity on mesoscale modeling results is discussed. The developed mesoscale model offers broad applicability for damage assessment in woven composites, and the study serves as a valuable reference for understanding damage mechanisms and mesoscale modeling of 3DWCs.
本文建立了三维机织复合材料的高保真细观弹塑性损伤模型,该模型充分耦合了纱线和基体的塑性行为。提出了一种新的横向各向同性弹塑性损伤本构律,明确地综合了不同载荷条件下纱线的应力-应变数据,以捕捉纱线的非线性行为。为了预测纤维在压缩载荷下的扭结破坏,提出了一种有效的、数值可处理的纤维失向破坏准则。沿着3DWCs的翘曲方向进行准静态拉伸和压缩测试,然后使用微x射线计算机断层扫描进行测试后的损伤表征。所提出的中尺度模型能准确预测宏观响应,并能再现数字图像相关获得的实验应变场,验证了模型的有效性。通过实验与数值结果的结合,为三维dwcs在准静态拉伸和压缩载荷作用下的复杂损伤机制提供了新的认识。参数化研究进一步探讨了纤维错位对压缩破坏的影响,并讨论了组成材料塑性对中尺度模拟结果的作用。所建立的细观尺度模型对编织复合材料损伤评估具有广泛的适用性,为理解三维复合材料损伤机理和细观尺度建模提供了有价值的参考。
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引用次数: 0
Frequency-dependent viscoelastic crosslinked polyether elastomer and nano-silica synergistically enhance the impact resistance of Kevlar laminates 频率相关的粘弹性交联聚醚弹性体和纳米二氧化硅协同增强了凯夫拉层压板的抗冲击性
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-28 DOI: 10.1016/j.compstruct.2026.120113
Zihao Huang, Biao Yang
A crosslinked polyether (CPE) elastomer with a dual network architecture of covalent and hydrogen bonds was developed to address challenges of shear-thickening fluid (STF)/fabric laminates in structural stability, water resistance, and thermal adaptability. CPE exhibits unique viscoelastic behaviors, a prominent loss modulus peak (85 Hz) under oscillatory shear, and frequency-dependent tan δ peaks with significantly enhanced high-frequency shear damping in the dynamic mechanical analysis. The addition of nano-silica significantly improves the tensile strength of CPE and impact resistance of both CPE and CPE/Kevlar laminates. Drop ball test demonstrates that both neat and nano-silica filled CPEs achieve nearly complete energy absorption over an impact energy range of 0.1–1.93 J. CPE enables the CPE/Kevlar laminates with substantially higher fiber volume fraction of (86.4%) and impact resistance compared to conventional Kevlar laminates. 15% nano-silica filled CPE/Kevlar laminate presents an impact energy absorption of 52.5 J (at a 1 mm indentation) and an area density efficiency of 13 J·m2/kg in drop-weight impact tests. Split Hopkinson pressure bar (SHPB) impact tests revealed excellent maximum impact stress and impact toughness (988 MPa and 469MJ m−3 at 3500 s−1 strain rate, 1298 MPa and 539 MJ m−3 at 7500 s−1 strain rate).
一种具有共价键和氢键双网络结构的交联聚醚(CPE)弹性体被开发出来,以解决剪切增稠流体(STF)/织物层压板在结构稳定性、耐水性和热适应性方面的挑战。在动态力学分析中,CPE表现出独特的粘弹性行为,在振荡剪切作用下有一个显著的损耗模量峰值(85 Hz),在高频剪切阻尼显著增强的情况下,其tan δ峰值与频率相关。纳米二氧化硅的加入显著提高了CPE和CPE/Kevlar层压板的抗拉强度和抗冲击性。跌落球测试表明,在0.1-1.93 j的冲击能量范围内,纯CPE和纳米二氧化硅填充的CPE/Kevlar层压板几乎完全吸收了能量,与传统的Kevlar层压板相比,CPE/Kevlar层压板具有更高的纤维体积分数(86.4%)和抗冲击性。15%纳米二氧化硅填充CPE/Kevlar层压板在落锤冲击试验中,冲击能量吸收为52.5 J(在1mm压痕处),面积密度效率为13 J·m2/kg。劈开霍普金森压杆(SHPB)冲击试验显示出优异的最大冲击应力和冲击韧性(在3500 s−1应变速率下为988 MPa和469MJ m−3,在7500 s−1应变速率下为1298 MPa和539 MJ m−3)。
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引用次数: 0
ML-based predictive framework for impact response analysis of foam-filled lattice composite cylinders 基于ml的泡沫填充点阵复合材料圆柱体冲击响应分析预测框架
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-20 DOI: 10.1016/j.compstruct.2026.120077
Jiye Chen , Zhixiong Zhang , Hai Fang , Yufeng Zhao , Dejun Kong
Numerical simulations provide crucial theoretical support for optimizing design and operational management. However, their practical application is limited by infeasibility and high computational costs. Machine learning (ML) methods, with their notable efficiency and accuracy, have emerged as powerful tools to address these challenges. A novel framework is proposed to predict the impact responses of foam-filled lattice composite cylinders (FLCCs), integrating precise numerical simulation analyses, metamodels, fast Fourier transform (FFT), and inverse fast Fourier transform (IFFT) methods. Initially, robust numerical models were developed to evaluate the crashworthiness of three different types of FLCCs subjected to impact loading, accompanied by energy transformation analysis. Subsequently, in combination with FFT and IFFT techniques, various metamodels were employed to predict the force–time and displacement–time histories of the FLCCs. Each FLCC type included more than 1000 frequency points, and all constructed metamodels achieved R-square (R2) values greater than 0.95. These results indicate that the proposed framework can effectively predict impact duration and response characteristics in the frequency domain. Furthermore, sensitivity analysis revealed that higher peak impact forces (PIFs) are associated with greater resistance to impact deformation. An increase in glass fiber reinforced polymer (GFRP) thickness led to a marked enhancement in the resistance to impact deformation.
数值模拟为优化设计和运行管理提供了重要的理论支持。然而,它们的实际应用受到不可行性和高计算成本的限制。机器学习(ML)方法以其显著的效率和准确性,已经成为解决这些挑战的强大工具。结合精确数值模拟分析、元模型、快速傅立叶变换(FFT)和反快速傅立叶变换(IFFT)方法,提出了一种预测泡沫填充点阵复合材料圆柱体(flcc)冲击响应的新框架。首先,建立了稳健的数值模型来评估三种不同类型的flcc在冲击载荷下的耐撞性,并进行了能量转换分析。随后,结合FFT和IFFT技术,采用各种元模型预测flcc的力-时间和位移-时间历史。每种FLCC类型包含1000多个频率点,所有构建的元模型的r平方(R2)值均大于0.95。结果表明,该框架能有效预测冲击持续时间和频域响应特性。此外,敏感性分析显示,更高的峰值冲击力(pif)与更大的冲击变形阻力相关。玻璃纤维增强聚合物(GFRP)厚度的增加导致抗冲击变形能力的显著增强。
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引用次数: 0
High-performance geopolymer concrete for repairing normal concrete: Interfacial bonding characteristics and microstructure evolution 修复普通混凝土的高性能地聚合物混凝土:界面粘结特性和微观结构演变
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-29 DOI: 10.1016/j.compstruct.2026.120086
Zhen Gao , Peng Zhang , Xinjian Sun , Jinjun Guo , Hu Feng
Geopolymer concrete, as a sustainable alternative to Portland cement-based composites for rehabilitating concrete structures, is regarded as a viable way that also contributes to reduced carbon footprint. In this study, the interface characteristics between high-performance geopolymer concrete (HPGC) and normal concrete (NC) were investigated through four-point bending notched composite beam tests. The effects of concrete matrix strength grade, HPGC type, and repair layer thickness on flexural bonding performance of the interface were explored. The crack propagating law of the interface and repair layer of composite beams was clarified applying digital image correlation (DIC) technology. Microhardness and backscattered electron (BSE) tests were conducted to quantitatively analyze the micromechanical properties and microstructural evolution at the bonding interface. The results indicate that the repair layer thickness has the greatest effect on improving the interfacial bonding performance. Hybrid fiber-reinforced geopolymer concrete exhibits substantially greater maximum interfacial crack propagation lengths compared with plain geopolymer concrete. The microhardness from the interface to the HPGC layer exhibits a gradient distribution, with the lowest microhardness observed within a 0–20 μm area from the interface. Beyond 20 μm from the interface, the phase composition of the area remains essentially stable. The research findings provide a scientific basis for the application of geopolymer concrete in the repair and strengthening of concrete structures.
地聚合物混凝土作为波特兰水泥基复合材料的可持续替代品,用于修复混凝土结构,被认为是一种可行的方法,也有助于减少碳足迹。通过四点弯曲缺口组合梁试验,研究了高性能地聚合物混凝土(HPGC)与普通混凝土(NC)的界面特性。探讨了混凝土基体强度等级、HPGC类型、修复层厚度对界面弯曲粘结性能的影响。应用数字图像相关(DIC)技术,阐明了复合梁界面和修复层裂纹的扩展规律。通过显微硬度和背散射电子(BSE)测试,定量分析了复合材料的微观力学性能和界面组织演变。结果表明,修复层厚度对改善界面结合性能的影响最大。混杂纤维增强地聚合物混凝土表现出比普通地聚合物混凝土更大的最大界面裂缝扩展长度。从界面到HPGC层的显微硬度呈梯度分布,在距离界面0 ~ 20 μm范围内显微硬度最低。在距界面20 μm以上的区域,相组成基本保持稳定。研究结果为地聚合物混凝土在混凝土结构修复加固中的应用提供了科学依据。
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引用次数: 0
Unraveling crack evolution and heat transfer degradation in nanoparticle-reinforced W-based composites 纳米颗粒增强w基复合材料的解旋裂纹演化与传热降解
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-31 DOI: 10.1016/j.compstruct.2026.120119
Yuanyuan Wang , Hecheng Wang , Rui Gao , Xiangyan Li , Yan-Dong Wang
Crack formation and thermal conductivity degradation are critical challenges for the engineering application of nanoparticle-reinforced W-based composites as plasma-facing materials in fusion reactors. These changes are intrinsically governed by the underlying microstructural features, yet the coupled evolution of fracture and thermal transport remains insufficiently understood. Here, we present a microstructure-based multiphysics modeling that integrates fracture mechanics with heat transport to elucidate the interplay among microstructural feature, crack formation, and thermal degradation in polycrystalline composite. By systematically varying nanoparticle type, size and density, as well as grain size, we identify distinct mechanisms by which reinforcement and grain features suppress intergranular crack initiation and promote crack deflection. Based on the Young’s modulus of nanoparticle in conjunction with the interface fracture energy, the crack resistance potential of composite can be effectively inferred. Despite alignment with thermal gradient, increases in crack length and width are found to markedly degrade thermal conductivity by disrupting effective conduction pathways and inducing localized thermal resistance. Furthermore, a near-linear decline in conductivity with crack widening is observed, accompanied by pronounced anisotropy in heat transport. These findings establish a direct link between microstructural design and functional performance, providing actionable insights for the optimization of nanoparticle-reinforced W-based composites for fusion application.
纳米颗粒增强w基复合材料作为等离子体面材料在聚变反应堆中的工程应用面临着裂纹形成和导热性能下降的关键挑战。这些变化本质上是由潜在的微观结构特征控制的,但裂缝和热输运的耦合演化仍然没有得到充分的了解。在这里,我们提出了一个基于微观结构的多物理场模型,该模型将断裂力学与热传递相结合,以阐明多晶复合材料的微观结构特征、裂纹形成和热降解之间的相互作用。通过系统地改变纳米颗粒的类型、尺寸和密度以及晶粒尺寸,我们确定了增强和晶粒特征抑制晶间裂纹萌生和促进裂纹偏转的不同机制。基于纳米颗粒的杨氏模量结合界面断裂能,可以有效地推断复合材料的抗裂电位。尽管与热梯度一致,但裂缝长度和宽度的增加会破坏有效的传导途径,并引起局部热阻,从而显著降低导热性。此外,观察到电导率随裂纹扩大呈近线性下降,并伴有明显的热传递各向异性。这些发现建立了微观结构设计与功能性能之间的直接联系,为优化纳米颗粒增强w基复合材料的融合应用提供了可行的见解。
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引用次数: 0
Applicability of differential scheme to elastic composites containing high volume fraction inclusions 微分格式在含高体积分数夹杂物弹性复合材料中的适用性
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-14 DOI: 10.1016/j.compstruct.2026.120065
Siyu Ge , Jialin Wang , Qihui Lyu , Ben Wang , Zaoyang Guo , Dongfeng Li
This study establishes a quantitative benchmark for the Differential Scheme (DS) by developing a finite element (FE)-based step-by-step homogenization framework. Unlike traditional analytical applications, this framework numerically replicates the incremental differential process using two-dimensional Representative Volume Elements (RVEs) as a computational testbed to rigorously evaluate prediction accuracy. Results indicate that at lower inclusion volume fractions (c ≤ 0.2), the proposed step-by-step homogenization agrees well with standard FE simulations. However, at higher volume fractions (c ≥ 0.4), the deviation increases rapidly, quantitatively confirming that the mean-field assumption fails to capture critical particle–particle interactions and interlocking effects. Specifically, errors exceed 25 % for the numerical step-by-step solution and surpass 40 % for the classical analytical DS, highlighting significant theoretical limitations in dense systems. To further address polydisperse systems, a two-step homogenization method is introduced. This method yields accurate predictions at intermediate volume fractions (c = 0.4), with errors within 10 %. However, its reliability declines at very high volume fractions (c = 0.7), particularly for a large-to-small particle size ratio of 3, where deviations approach 25 % due to strong local geometric constraints not effectively represented in the homogenization framework. This study delineates the applicability limits of DS, providing essential error bounds and clarifying the extent to which geometric constraints in dense microstructures compromise theoretical predictions.
本研究通过建立一个基于有限元(FE)的分步均匀化框架,为微分方案(DS)建立了一个定量基准。与传统的分析应用程序不同,该框架使用二维代表性体积元素(RVEs)作为计算试验台,在数值上复制增量微分过程,以严格评估预测精度。结果表明,在较低的夹杂物体积分数(c≤0.2)下,所提出的分步均匀化方法与标准FE模拟结果吻合较好。然而,在较高的体积分数(c≥0.4)下,偏差迅速增加,定量地证实了平均场假设未能捕获临界粒子-粒子相互作用和联锁效应。具体而言,数值逐步解的误差超过25%,经典解析DS的误差超过40%,突出了密集系统中显着的理论局限性。为了进一步解决多分散体系的问题,介绍了两步均质方法。该方法对中等体积分数(c = 0.4)的预测准确,误差在10%以内。然而,在非常高的体积分数(c = 0.7)下,其可靠性下降,特别是在大小粒度比为3的情况下,由于均质框架中没有有效表示的强局部几何约束,其偏差接近25%。这项研究描绘了DS的适用范围,提供了基本的误差范围,并澄清了密集微观结构中的几何约束在多大程度上损害了理论预测。
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引用次数: 0
Data-driven multi-objective optimization of 102 MPa stationary hydrogen storage vessels: enhancing performance and cost efficiency through liner and composite layer design 数据驱动的102 MPa固定式储氢容器多目标优化:通过衬垫和复合层设计提高性能和成本效率
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-01-18 DOI: 10.1016/j.compstruct.2026.120063
Haiyang Ou, Peng Jiao, Huangyang Xu, Xinshuang Li, Zhiping Chen
The growing demand for extended driving range, together with advances in materials and manufacturing technologies, is driving higher hydrogen storage pressures and, consequently, increased vessel manufacturing costs. Achieving an optimal balance between vessel performance and material cost therefore requires careful consideration of multiple design parameters. However, traditional numerical analysis and optimization methods for such tasks are often computationally intensive. To address this issue, this study presents a novel multi-objective optimization framework that integrates a Transformer model, the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This framework simultaneously optimizes the liner and composite layer parameters and introduces a new characterization method for composite layer design to reduce design constraints. Key design parameters are transformed into images, from which structured matrices are extracted and fed into the Transformer model to capture sequential information in the composite layers. Compared to finite element analysis (FEA) and traditional machine learning models, the proposed approach significantly reduces computational costs while expanding the design space and improving prediction accuracy. By combining the NSGA-II optimization algorithm with TOPSIS ranking, an optimal design solution that meets performance requirements is achieved. Furthermore, although this comprehensive framework was developed for Type III vessels, it can be readily extended to Type IV vessels and other composite structures.
随着材料和制造技术的进步,对延长行驶里程的需求不断增长,正在推动更高的储氢压力,从而增加了容器制造成本。因此,在容器性能和材料成本之间实现最佳平衡需要仔细考虑多个设计参数。然而,对于此类任务,传统的数值分析和优化方法往往是计算密集型的。为了解决这一问题,本研究提出了一个新的多目标优化框架,该框架集成了Transformer模型、非支配排序遗传算法II (NSGA-II)和理想解相似性排序偏好技术(TOPSIS)。该框架同时优化了衬垫和复合层参数,为复合层设计引入了一种新的表征方法,减少了设计约束。将关键设计参数转换为图像,从中提取结构化矩阵并将其输入Transformer模型以捕获复合层中的顺序信息。与有限元分析(FEA)和传统的机器学习模型相比,该方法显著降低了计算成本,同时扩大了设计空间,提高了预测精度。将NSGA-II优化算法与TOPSIS排序相结合,得到满足性能要求的最优设计方案。此外,虽然这个综合框架是为第三类血管开发的,但它可以很容易地扩展到第四类血管和其他复合结构。
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引用次数: 0
Investigating the nonlinear mechanics of thin corrugated sheets using the differential quadrature method 用微分正交法研究波纹薄板的非线性力学
IF 7.1 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2026-04-15 Epub Date: 2026-02-02 DOI: 10.1016/j.compstruct.2026.120109
K.S. Suraj, Fabien Royer
Corrugation sheets are extensively used as lightweight engineering structures with a highly anisotropic behavior, as they provide stability under buckling loads and effective energy absorption capabilities. Thus, understanding their geometrically nonlinear response is essential in applications involving large deformations. However, the nonlinear analysis of corrugated sheets is complicated, making it challenging to derive analytical solutions. In the present study, the nonlinear equilibrium equations are derived using the principle of virtual work, following the Green–Lagrange strain and linear curvature displacement derivative approximations, for a globally flat, thin, circular corrugated sheet. Owing to its simplicity, the differential quadrature (DQ) method is well known for its high accuracy and ease of implementation for solving differential equations. Therefore, the nonlinear equilibrium equations of a circular corrugated sheet are solved incrementally using the DQ method, adopting nonuniform grid points for various loading and boundary conditions. A convergence study is conducted to determine the optimal number of grid points required to accurately predict the deformed shape. The accuracy of the DQ method in the small deformation regime is ascertained by comparing the solutions with the existing analytical result. Moreover, full nonlinear finite element analyses are performed to verify the DQ results for both small and large deformation regimes for all the load cases. In addition, a comparison study is performed to investigate the effect of additional terms in the equilibrium equations arising from nonlinear analysis, in contrast to those obtained from linear analysis. Finally, the present model is further extended to predict the deformation of a complex corrugated profile, demonstrating its applicability over a broad range of geometries.
波纹板具有高度的各向异性,在屈曲载荷下具有稳定性和有效的能量吸收能力,因此被广泛用作轻型工程结构。因此,在涉及大变形的应用中,理解它们的几何非线性响应是必不可少的。然而,波纹板的非线性分析是复杂的,使得它的解析解是具有挑战性的。在本研究中,利用虚功原理,根据格林-拉格朗日应变和线性曲率位移导数近似,推导出了全局扁平、薄的圆形波纹板的非线性平衡方程。微分求积法(DQ)以其精度高、求解微分方程简便而著称。因此,采用DQ法对圆形波纹板的非线性平衡方程进行增量求解,在不同载荷和边界条件下采用非均匀网格点。进行了收敛性研究,以确定准确预测变形形状所需的最优网格点数。通过与已有解析结果的比较,确定了DQ法在小变形状态下的精度。此外,还进行了全面的非线性有限元分析,以验证所有载荷情况下小变形和大变形的DQ结果。此外,还进行了一项比较研究,以研究由非线性分析产生的平衡方程中附加项的影响,并与线性分析得到的结果进行了对比。最后,本模型进一步扩展到预测复杂波纹型材的变形,证明其在广泛几何形状范围内的适用性。
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Composite Structures
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