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Numerical study of hole-cutting effect using annular shaped charges in underwater explosions 水下爆炸环形聚能药孔切割效应的数值研究
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.enganabound.2025.106624
Yu Tian , Fu-Ren Ming , Hao Chen , Xiang-Li Fang , Ping-Ping Wang
The metal jet formed by a conventional shaped charge has a high penetration depth but a narrow damage range. To expand the damage range of the metal jet, an annular shaped charge can be employed. In this paper, the underwater explosions of annular shaped charges are simulated by a graphic processing unit accelerated axisymmetric Riemann-SPH method, and the accuracy is verified by experiments. The hole-cutting effect using an annular shaped charge in an underwater explosion is analyzed, and the characteristics of the annular shaped charge are compared with a spherical segment shaped charge. Furthermore, the effects of the liner thickness on the annular jet are explored. It is revealed that the damage mode inflicted on the plate by an explosive formed projectile (EFP) is impact penetration, whereas that by an annular jet is cutting. The plate’s breach size caused by the annular jet reaches 1.79 times the charge radius and 3.15 times that of EFP. Our findings also reveal that there is an optimal dimensionless maximum liner thickness λ (λ=T/Rz) to maximize the breach size dp, which is 0.12 for a charge mass of 60kg. This paper can provide support for the optimization design of the shaped charge.
传统聚能形成的金属射流侵彻深度高,但损伤范围窄。为了扩大金属射流的破坏范围,可以采用环形聚能装药。本文采用图形处理单元加速轴对称Riemann-SPH方法对水下环形装药爆炸进行了模拟,并通过实验验证了模拟结果的准确性。分析了水下爆炸中环形聚能药的割孔效果,并将环形聚能药与球段聚能药的特性进行了比较。此外,还探讨了衬板厚度对环形射流的影响。结果表明,爆炸成形弹丸(EFP)对板的损伤模式为冲击侵彻,而环形射流对板的损伤模式为切割。环形射流引起的板裂尺寸达到装药半径的1.79倍,EFP的3.15倍。我们的研究结果还表明,存在一个最佳无因次最大衬里厚度λ (λ=T/Rz)来最大化裂口尺寸dp,当装药质量为60kg时,裂口尺寸dp为0.12。本文可为聚能药的优化设计提供依据。
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引用次数: 0
Meshless methods for the detection of an obstacle submerged in a two-dimensional Stokes flow 二维Stokes流中淹没障碍物的无网格检测方法
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-19 DOI: 10.1016/j.enganabound.2025.106603
Pelin Senel , Daniel Lesnic , Andreas Karageorghis
We consider a geometric inverse problem which requires detecting an unknown obstacle, e.g. a submarine or an aquatic mine, submerged in a Stokes slow viscous stationary flow of an incompressible fluid. In two-dimensions, the problem is formulated in terms of the biharmonic streamfunction in an unbounded domain which is approximated using the Trefftz method and the method of fundamental solutions (MFS). This is, apparently, the first time the Trefftz method and the MFS are applied for the solution of the biharmonic equation in an unbounded domain. We first examine direct problems and then consider inverse problems. The unknown obstacle is determined by employing a nonlinear Tikhonov regularization procedure. Numerical results are presented and discussed.
我们考虑了一个几何逆问题,该问题需要检测一个未知的障碍物,例如潜艇或水雷,淹没在不可压缩流体的Stokes慢粘性静止流中。在二维情况下,用Trefftz法和基本解法(MFS)逼近的无界域的双调和流函数来表示问题。显然,这是首次将Trefftz方法和MFS应用于无界域双调和方程的求解。我们首先考察正问题,然后考虑逆问题。采用非线性吉洪诺夫正则化方法确定未知障碍物。给出了数值结果并进行了讨论。
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引用次数: 0
A machine learning-driven multi-objective optimization framework for advanced microchannel heat sinks with gradient rib-pin fin arrays 基于机器学习驱动的梯度肋针阵列微通道散热器多目标优化框架
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-16 DOI: 10.1016/j.enganabound.2025.106601
Chunquan Li, Runxin Cao, Yuanhao Zheng, Hongyan Huang, Ming Zhang
The microchannel heat sink with gradient array of ribs and pin fins (MCHS-GDRPF) integrates two types of thermal microstructures, rib and pin fin, which effectively enhances the thermal performance of the microchannel and improves the temperature uniformity. To enhance the thermal performance of the MCHS-GDRPF, machine learning methods are employed to predict and optimize performance based on structural design parameters. Four machine learning methods were evaluated to construct the thermal performance prediction model. The Support Vector Regression (SVR) model, demonstrating the highest accuracy, was then integrated with the fast Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to perform multi-objective optimization of thermal resistance, temperature inhomogeneity, and friction coefficient. Subsequently, the Pareto front solution set was derived, and the optimal structural parameters were determined via the TOPSIS method. Finally, a thermal performance analysis was conducted for MCHS-GDRPF with four distinct structural parameter configurations. Comparative evaluation at Reynolds number 622 indicates three key advantages of the MCHS-GDRPF: (1) 28 K lower maximum surface temperature, (2) 72% improvement in temperature uniformity, and (3) 1.397 PEC value, surpassing conventional microchannel performance.
肋与销鳍梯度阵列微通道散热器(mhs - gdrpf)集成了肋与销鳍两种热微结构,有效提高了微通道的热性能,改善了温度均匀性。为了提高MCHS-GDRPF的热性能,采用基于结构设计参数的机器学习方法进行热性能预测和优化。评估了四种机器学习方法来构建热性能预测模型。将精度最高的支持向量回归(SVR)模型与快速非支配排序遗传算法(NSGA-II)相结合,对热阻、温度不均匀性和摩擦系数进行多目标优化。随后,推导了Pareto前解集,并通过TOPSIS法确定了最优结构参数。最后,对四种不同结构参数配置的MCHS-GDRPF进行了热性能分析。在622雷诺数下的对比评价表明,mhs - gdrpf具有三个关键优势:(1)最大表面温度降低28 K,(2)温度均匀性提高72%,(3)PEC值为1.397,优于传统的微通道性能。
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引用次数: 0
Multiphase lattice Boltzmann flux solver for non-Newtonian power-law fluid flows with high efficiency and stability 多相点阵玻尔兹曼通量求解器求解非牛顿幂律流体流动,具有高效率和稳定性
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI: 10.1016/j.enganabound.2025.106600
Haoran Yan , Yunpeng Lu , Hong Song , Yan Wang , Guiyong Zhang
This study develops a multiple-relaxation-time multiphase lattice Boltzmann flux solver (MRT-MLBFS) for the simulation of incompressible multiphase flows involving Newtonian and non-Newtonian fluids with large density ratio and rheological contrasts. The method integrates a phase-field model for interface capturing and a finite-volume-based LBFS framework to solve the macroscopic Navier–Stokes equations. By combining a MRT formulation with a flux reconstruction strategy, the method effectively suppresses numerical instabilities while reducing artificial dissipation, thereby ensuring robust simulations under extreme density and viscosity contrasts. Additionally, the algorithm is implemented in a fully explicit scheme and accelerated on GPU, which leads to a significant gain in computational efficiency, achieving speedups exceeding two orders of magnitude compared to CPU implementations. Through a series of benchmark cases, including droplet on plate, Rayleigh–Taylor instability, and droplet spreading on thin film, MRT-MLBFS is shown to capture complex interfacial evolution and nonlinear rheological effects with high accuracy and stability. This work establishes MRT-MLBFS as a reliable solution strategy for non-Newtonian multiphase flows with broad applicability.
本研究开发了一个多松弛时间多相晶格玻尔兹曼通量求解器(MRT-MLBFS),用于模拟具有大密度比和流变对比的牛顿和非牛顿流体的不可压缩多相流。该方法结合相场模型和有限体积LBFS框架求解宏观Navier-Stokes方程。通过将MRT公式与通量重建策略相结合,该方法有效地抑制了数值不稳定性,同时减少了人为耗散,从而确保了在极端密度和粘度对比下的鲁棒模拟。此外,该算法以完全显式的方案实现,并在GPU上加速,这使得计算效率显着提高,与CPU实现相比,实现了超过两个数量级的速度。通过液滴在平板上、瑞利-泰勒不稳定性和液滴在薄膜上扩散等一系列基准实验,证明了MRT-MLBFS能够以较高的精度和稳定性捕捉复杂的界面演化和非线性流变效应。这项工作建立了MRT-MLBFS作为一种可靠的非牛顿多相流求解策略,具有广泛的适用性。
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引用次数: 0
BEM simulation of the interlaminar stresses of 3D thin composites subjected to inertial loads 三维薄复合材料在惯性载荷作用下层间应力的边界元模拟
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-10 DOI: 10.1016/j.enganabound.2025.106595
Y.C. Shiah
A common concern in the use of thin laminated composites is the potential debonding caused by interlaminar stresses of adhesives. However, their simulations by conventional schemes present modelling difficulties stemming from the thinness of each laminate and adhesive layer. For that, conventional simulations usually neglect the presence of thin adhesives on interfaces. Due to such negligence, any potential debonding from the failure of adhesives cannot be properly assessed. This paper presents efficiently modelling of the interlaminar stresses in 3D thin laminated composites when subjected to the inertial loads of self-weight or rotations using the boundary element method (BEM). By applying the FG-Squircular mapping (introduced by Manuel Fernandez-Guasti in 1992), the transformed boundary singular integrals due to the inertial loads are completely regularized. By the BEM modelling, thin laminated composites bonded with thin sheets of adhesives on interfaces can thus be modelled using very coarse meshes.
使用薄层复合材料的一个共同问题是粘合剂的层间应力引起的潜在脱粘。然而,他们的模拟通过传统的方案提出建模困难源于每层压层和胶粘剂层的薄。因此,传统的模拟通常忽略了界面上薄胶粘剂的存在。由于这样的疏忽,任何潜在的脱胶失败的粘合剂不能适当地评估。本文采用边界元法对三维薄层复合材料在自重或旋转惯性载荷作用下的层间应力进行了有效的建模。通过应用FG-Squircular映射(Manuel Fernandez-Guasti于1992年引入),由惯性载荷引起的变换边界奇异积分完全正则化。通过边界元模型,薄层复合材料与薄片粘合剂粘合在界面上,因此可以使用非常粗的网格建模。
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引用次数: 0
An adaptive cell-based smoothed finite element method with arbitrary polygonal elements for coupled thermo-mechanical analysis 基于自适应单元的任意多边形单元光滑有限元法
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.enganabound.2025.106553
Ruiping Niu , Shijie Zhao , Xinglong Lu , Qiuxia Fan , Lei han Wang
This paper proposes, for the first time, an adaptive cell-based smoothed finite element method (A-CS-FEM) based on arbitrary polygonal elements for thermo-mechanical coupling problems. By utilizing mean value coordinates, the proposed model accommodates non-convex polygons without self-intersection, enabling robust handling of diverse polygonal elements. The approach integrates constrained Delaunay triangulation with adaptive techniques to partition triangulation-cell-based smoothing domains, naturally ensuring the positivity condition for a normed Gh1 space without additional stabilization, while maintaining the high-quality meshes. The gradient smoothing technique in CS-FEM eliminates the coordinate mapping inherent in traditional polygonal finite element methods, because it requires only the shape function values along the segments of cell smoothing domains instead of the shape function derivatives. Numerical results demonstrate that A-CS-FEM significantly improves the quality of smoothing domains for complex geometries with arbitrary convex and concave polygonal discretization, thereby achieving high-precision solutions for both displacement and temperature.
本文首次提出了一种基于任意多边形单元的自适应单元光滑有限元法(A-CS-FEM)。该模型采用均值坐标,可容纳无自交的非凸多边形,实现对多种多边形元素的鲁棒处理。该方法将约束Delaunay三角剖分与自适应技术相结合,对基于三角剖分单元的平滑域进行划分,自然地保证了归一化Gh1空间的正性条件,而无需额外的稳定化,同时保持了高质量的网格。CS-FEM中的梯度平滑技术消除了传统多边形有限元方法固有的坐标映射问题,因为它只需要沿单元平滑域段的形状函数值,而不需要形状函数导数。数值结果表明,A-CS-FEM显著提高了具有任意凸、凹多边形离散化的复杂几何图形的光滑域质量,从而获得了位移和温度的高精度解。
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引用次数: 0
Physics-informed neural network based on layerwise theory for bending analysis of laminated plates 基于分层理论的层合板弯曲分析的物理信息神经网络
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-02 DOI: 10.1016/j.enganabound.2025.106569
Zefeng Liu , Jinshuai Bai , Yuantong Gu , Ping Xiang
This paper introduces a novel computational framework that integrates physics-informed neural network (PINN) with generalized layerwise theory (LW) for the bending analysis of laminated composite plates. The framework leverages the approximation capability of deep neural networks while incorporating the physical constraints from LW theory to accurately capture the displacement fields of laminated composite plates as well as the shear stresses variations along the thickness direction. The framework is validated using various laminated plate configurations and loading conditions, with results showing excellent agreement with the meshless radial point interpolation method (RPIM), as well as other published solutions. These results highlight the potential of the PINN framework to enhance the predictive bending analysis of laminated composite plates, positioning it as a promising alternative for laminated composite structures.
介绍了一种将物理信息神经网络(PINN)与广义分层理论(LW)相结合的新型计算框架,用于层合复合材料板的弯曲分析。该框架利用深度神经网络的近似能力,同时结合LW理论的物理约束,准确捕获层合复合材料板的位移场以及沿厚度方向的剪切应力变化。该框架在各种层合板结构和加载条件下进行了验证,结果与无网格径向点插值方法(RPIM)以及其他已发表的解决方案非常吻合。这些结果突出了PINN框架在增强层压复合材料板的预测弯曲分析方面的潜力,将其定位为层压复合材料结构的有前途的替代品。
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引用次数: 0
A modified finite particle method with adaptive strategy for solving bilateral obstacle problems 基于自适应策略的修正有限粒子法求解双边障碍问题
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-02 DOI: 10.1016/j.enganabound.2025.106561
Dianjian Ruan , Zhanheng Chen , Daming Yuan
Bilateral obstacle problems are fundamental in the study of partial differential equations (PDEs) and variational inequalities, with significant applications in optimal control, elasticity, and material deformation under constraints. However, numerically solving these problems is challenging due to the inherent nonlinearities and the presence of free boundaries that evolve with complex contact dynamics. Conventional discretization methods, including finite element and finite difference approaches, often struggle to balance accuracy with computational efficiency, especially when dealing with irregular geometries or the need for adaptive resolution. In the present work we introduce a meshless method that overcomes these challenges by combining the modified finite-particle method (MFPM) for discretization with the Picard iteration technique for solving the result piecewise linear system. The proposed technique employs adaptive stencil selection to guarantee a result linear system with a moderate condition number. An adaptive meshless refinement method enhances the free boundary resolution, particularly in capturing the unknown free boundary a priori. Numerical experiments confirm the method’s flexibility and robustness across a range of node layouts – including Cartesian grids, PNP nodes, and Halton points – demonstrating its potential as an effective tool for solving bilateral obstacle problems and broadening the applicability of PDE and variational inequality models.
双边障碍问题是研究偏微分方程(PDEs)和变分不等式的基础,在最优控制、弹性和约束下的材料变形方面有着重要的应用。然而,由于固有的非线性和自由边界的存在,随着复杂接触动力学的发展,数值解决这些问题是具有挑战性的。传统的离散化方法,包括有限元和有限差分方法,常常难以平衡精度和计算效率,特别是在处理不规则几何形状或需要自适应分辨率时。在目前的工作中,我们介绍了一种无网格方法,该方法通过将用于离散化的改进有限粒子方法(MFPM)与用于求解结果分段线性系统的皮卡德迭代技术相结合来克服这些挑战。该方法采用自适应模板选择方法,保证了条件数适中的结果线性系统。一种自适应无网格细化方法提高了自由边界的分辨率,特别是在先验捕获未知自由边界方面。数值实验证实了该方法在一系列节点布局(包括笛卡尔网格、PNP节点和Halton点)上的灵活性和鲁棒性,证明了它作为解决双边障碍问题的有效工具的潜力,并扩大了PDE和变分不等式模型的适用性。
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引用次数: 0
C-SPH+ST: A novel stabilized corrected smoothed particle hydrodynamics scheme for high Weissenberg number problem of viscoelastic fluids C-SPH+ST:粘弹性流体高Weissenberg数问题的一种新的稳定修正光滑粒子流体力学格式
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-08 DOI: 10.1016/j.enganabound.2025.106573
Jinlian Ren , Wei Zhang , Weigang Lu , Tao Jiang
In this paper, a novel stabilization term (ST) is introduced into the nonlinear constitutive model, and a corrected smoothed particle hydrodynamics approximation scheme incorporating the stabilization term, which is termed as C-SPH+ST, is developed to address the High Weissenberg Number Problem (HWNP) in viscoelastic fluids based on the Oldroyd-B constitutive model. To establish a high-accuracy, enhanced-stability algorithm for solving the HWNP of viscoelastic fluids, we perform the improvements based on a corrected SPH method in our previous work which enforces the corrected kernel gradient, particle shifting and density reinitialization techniques in the original SPH framework. Meanwhile, a novel stabilization term, distinct from existing artificial stress terms, is proposed and integrated into the C-SPH+noST method. In numerical experiments, the validity of the proposed stabilized corrected SPH scheme is first verified by simulating classical viscoelastic flows with HWNP, with results compared against reference solutions. The proposed stable particle scheme is then applied to predict the complex nonlinear behavior of viscoelastic Wannier flow, and focusing primarily on the influence of high Weissenberg Number on unstable viscoelastic flow. Additionally, the effects of the parameters in the given stabilization term and other techniques are also analyzed and discussed. All numerical results indicate that the proposed C-SPH+ST algorithm is a robust tool for addressing the HWNP in viscoelastic fluids, and can efficiently prevent non-physical particle clustering and accurately capture the complex phenomena in viscoelastic flows with high Weissenberg numbers.
本文在非线性本构模型中引入了一种新的稳定项(ST),并基于Oldroyd-B本构模型,提出了一种包含稳定项的修正光滑颗粒流体力学近似格式C-SPH+ST,以解决粘弹性流体中的高Weissenberg数问题(HWNP)。为了建立一种高精度、增强稳定性的黏弹性流体HWNP求解算法,我们在之前工作的修正SPH方法的基础上进行了改进,该方法在原始SPH框架中加强了修正的核梯度、粒子移动和密度重新初始化技术。同时,提出了一种新的稳定项,区别于现有的人工应力项,并将其集成到C-SPH+noST方法中。在数值实验中,首先用HWNP模拟经典粘弹性流动,验证了所提出的稳定修正SPH格式的有效性,并与参考解进行了比较。然后将所提出的稳定粒子格式应用于粘弹性万尼尔流的复杂非线性行为预测,重点研究了高Weissenberg数对不稳定粘弹性流的影响。此外,还分析和讨论了在给定稳定期限内参数和其他技术的影响。所有数值结果表明,C-SPH+ST算法是解决粘弹性流体中HWNP问题的有力工具,可以有效地防止非物理颗粒聚集,准确捕捉高Weissenberg数粘弹性流动中的复杂现象。
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引用次数: 0
Piezoelectric and piezomagnetic effects on functionally graded triply periodic minimal surface smart sandwich nanoscale plates using Chebyshev shear deformation theory 应用切比雪夫剪切变形理论研究功能梯度三周期最小表面智能夹层纳米板的压电和压磁效应
IF 4.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-24 DOI: 10.1016/j.enganabound.2025.106602
P. Phung-Van , P.T. Hung , M. Abdel Wahab , Chien H. Thai
This study investigates the nanoscale free vibration behavior of a novel smart sandwich nanoplate integrating a functionally graded triply periodic minimal surface (FG-TPMS) core combined with magneto-electro-elastic face sheets. Unlike conventional sandwich structures, this design leverages the mechanical efficiency of FG-TPMS architectures with coupled piezoelectric–piezomagnetic responses of magneto-electro-elastic materials to enhance vibrational performance compared to traditional sandwich composites. The governing equations are formulated using nonlocal strain gradient theory to accurately capture small-scale effects, while isogeometric analysis is employed to ensure high precision and continuity in numerical simulations. Additionally, the displacement approximation is constructed using a newly developed Chebyshev shear deformation theory, which provides improved representation of shear effects in nanoscale plates. The findings demonstrate that synergistic interaction between FG-TPMS topologies, magneto-electro-elastic face sheets and small-scale effects significantly influences natural frequencies. Moreover, this study shows that a larger length scale parameter increases stiffness and raises frequencies, while a higher nonlocal parameter lowers stiffness and reduces frequencies. And the magnetic field strengthens the nanoplate, whereas the electric voltage weakens it. These results offer valuable insights into the dynamic analysis of smart nanostructures with potential applications in aerospace, biomedical engineering and vibration control systems.
本文研究了一种由功能梯度三周期最小表面(FG-TPMS)核心与磁电弹性面片相结合的新型智能夹层纳米板的纳米级自由振动行为。与传统的夹层结构不同,该设计利用了FG-TPMS结构的机械效率和磁-电弹性材料的耦合压电-压电响应,与传统的夹层复合材料相比,增强了振动性能。采用非局部应变梯度理论建立控制方程以准确捕捉小尺度效应,同时采用等几何分析保证数值模拟的高精度和连续性。此外,利用新发展的切比雪夫剪切变形理论构建了位移近似,该理论提供了纳米尺度板剪切效应的改进表示。研究结果表明,FG-TPMS拓扑结构、磁电弹性面片和小尺度效应之间的协同作用显著影响了固有频率。此外,该研究表明,较大的长度尺度参数会增加刚度并提高频率,而较大的非局部参数会降低刚度并降低频率。磁场增强了纳米板,而电压削弱了它。这些结果为智能纳米结构的动态分析提供了有价值的见解,在航空航天、生物医学工程和振动控制系统中具有潜在的应用。
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引用次数: 0
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Engineering Analysis with Boundary Elements
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