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A peridynamic-lattice Boltzmann-immersed boundary hybrid model for fluid interactions with low-density flexible structures 流体与低密度柔性结构相互作用的周动力-晶格玻尔兹曼-浸入边界混合模型
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-24 DOI: 10.1016/j.compstruc.2025.108043
Ya Zhang , Tian Bao , Yu Yang , Yonghao Zhang , Dongyang Chen , Qiaogao Huang , Guang Pan
The coupling of peridynamics model and lattice Boltzmann method using immersed boundary method can effectively simulate strong fluid structure interactions. However, the current hybrid models fail to describe flow-induced large deformation, fracture and damage of low-density structures, which restricts their applications in engineering design simulations. To overcome this restriction, we propose an advanced algorithm that implements velocity correction points throughout the solid subdomains, where strong coupling through simultaneous velocity corrections in both solid structures modelled with peridynamics and fluid domains solved with lattice Boltzmann method is implemented at each time step, utilizing an implicit velocity correction scheme. Consequently, this method enables the simulation of large deformation and fracture of low-density flexible structures, as validated by a range of benchmark cases. Therefore, the proposed peridynamic-lattice Boltzmann-immersed boundary hybrid model is capable of simulating strong fluid structure interactions across a range of structural densities—whether greater than, less than, or equal to the fluid density. In addition, the present scheme significantly improves computational accuracy for fluid structure interactions with rotational structures.
采用浸入边界法将周动力模型与晶格玻尔兹曼方法耦合,可以有效地模拟强流体结构相互作用。然而,目前的混合模型无法描述低密度结构的大变形、断裂和损伤,限制了其在工程设计模拟中的应用。为了克服这一限制,我们提出了一种先进的算法,该算法在整个实体子域实现速度校正点,其中在每个时间步上,利用隐式速度校正方案,通过在用周动力学建模的实体结构和用晶格玻尔兹曼方法求解的流体域同时进行速度校正来实现强耦合。因此,该方法能够模拟低密度柔性结构的大变形和断裂,并通过一系列基准案例进行了验证。因此,所提出的周动力-晶格玻尔兹曼-浸入边界混合模型能够在一定的结构密度范围内模拟强流体-结构相互作用,无论结构密度是大于、小于还是等于流体密度。此外,该方案显著提高了流体结构与旋转结构相互作用的计算精度。
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引用次数: 0
Parallel topology optimization introducing enclosed cavity manufacturing constraints based on graph search algorithms 引入封闭腔制造约束的并行拓扑优化
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-24 DOI: 10.1016/j.compstruc.2025.108041
David Herrero-Pérez , Javier Principe
We present a distributed method based on Graph Theory for detecting enclosed cavities in density-based topology optimization using the traditional material penalization scheme. We integrate the enclosed cavity detection method into a distributed topology optimization framework that utilizes domain decomposition to leverage parallel computing resources. We introduce enclosed cavities as a manufacturing constraint in a modified topology optimization formulation to control unwanted designs based on the number of enclosed holes. Removing enclosed holes is essential for many additive manufacturing techniques because they can complicate the manufacturing process. The cavity detection method generates a graph with the subdomain design variables represented as nodes and their connections as arcs. The enclosed cavity detection method only uses the void phase part of the corresponding subdomain graph, which is divided into disconnected graphs using a Graph Search algorithm. We then classify them based on the connections between subdomain void graphs. The proposal minimizes inter-node communications by generating a hierarchical distributed graph to obtain a coherent representation of the void phase connectivity during the optimization process. Finally, we evaluate the feasibility and scalability of the computational framework using two- and three-dimensional problems with symmetric and asymmetric simplifications using multi-core computing.
在基于密度的拓扑优化中,采用传统的材料惩罚方案,提出了一种基于图论的分布方法来检测封闭腔。我们将封闭腔检测方法集成到分布式拓扑优化框架中,该框架利用域分解来利用并行计算资源。我们在改进的拓扑优化公式中引入封闭腔作为制造约束,以控制基于封闭孔数量的不必要设计。对于许多增材制造技术来说,去除封闭孔是必不可少的,因为它们会使制造过程复杂化。空腔检测方法生成一个图,其中子域设计变量表示为节点,它们的连接表示为弧。封闭空腔检测方法仅利用相应子域图的空洞相位部分,通过图搜索算法将子域图划分为不相连的图。然后,我们根据子域空图之间的连接对它们进行分类。在优化过程中,通过生成分层分布图来获得空洞相位连通性的连贯表示,从而最大限度地减少节点间通信。最后,我们通过使用多核计算对对称和非对称简化的二维和三维问题评估了计算框架的可行性和可扩展性。
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引用次数: 0
A Wittrick-Williams-algorithm-compatible asymptotic dynamic stiffness formulation applied to non-uniform beam structures 应用于非均匀梁结构的wittrick - williams -算法兼容渐近动刚度公式
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-22 DOI: 10.1016/j.compstruc.2025.108048
Le Chang, Li Cheng
This paper proposes an asymptotic dynamic stiffness formulation for analyzing the vibration of non-uniform beams with power-law varying cross-sections. Exact solutions of the governing differential equations of non-uniform beams, which employ special functions, inevitably lead to implicit dynamic stiffness formulations and mode count, thereby compromising computational efficiency and accuracy and rendering them incompatible with the Wittrick-Williams (WW) algorithm, which is a proven and efficient tool for free vibration analysis. To tackle these problems, this work derives exact solutions of governing differential equations for axial and flexural vibrations of non-uniform beams in terms of Bessel functions and hypergeometric series, then uses their asymptotic behavior to derive the asymptotic dynamic stiffness matrix with explicit analytical expressions, which is further leveraged to yield the explicit mode count. The proposed solutions are shown to greatly mitigate numerical problems in special functions and make the proposed formulation compatible with the WW algorithm. Numerical examples, covering beams and frames, showcase the accuracy and efficiency of the proposed asymptotic dynamic stiffness formulation through comparisons with finite element simulations. This method offers a promising tool for the design and vibration analysis of complex structures composed of beam elements, harnessing minimum number of degrees of freedom.
本文提出了一种分析幂律变截面非均匀梁振动的渐近动刚度公式。使用特殊函数的非均匀梁的控制微分方程的精确解不可避免地导致隐式动刚度公式和模态计数,从而影响计算效率和准确性,并使它们与Wittrick-Williams (WW)算法不兼容,Wittrick-Williams (WW)算法是一种经过验证的有效的自由振动分析工具。为了解决这些问题,本工作从贝塞尔函数和超几何级数的角度推导出非均匀梁轴向和弯曲振动的控制微分方程的精确解,然后利用它们的渐近行为推导出具有显式解析表达式的渐近动态刚度矩阵,进一步利用它来产生显式模态计数。所提出的解大大减轻了特殊函数中的数值问题,并使所提出的公式与WW算法兼容。包括梁和框架在内的数值实例,通过与有限元模拟的比较,展示了所提出的渐近动态刚度公式的准确性和有效性。该方法为利用最小自由度的梁单元组成的复杂结构的设计和振动分析提供了一种有前途的工具。
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引用次数: 0
Flexoelectricity effects on smart piezoelectric nanoplates using an isogeometric analysis-based Chebyshev shear deformation theory 基于切比雪夫剪切变形理论的智能压电纳米片挠性电效应研究
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-20 DOI: 10.1016/j.compstruc.2025.108033
P.T. Hung , H. Nguyen-Xuan , M. Abdel-Wahab , Chien H. Thai , P. Phung-Van
This study conducts a comprehensive investigation into free vibration and static behaviors of smart piezoelectric nanoplates, incorporating electromechanical coupling phenomena, particularly the flexoelectric effect. The flexoelectric effect, which characterizes the interaction between electric polarization and strain gradient, is considered by capturing size-dependent properties at the nanoscale. To enhance modeling accuracy, the third-order Chebyshev shear deformation theory is employed, naturally fulfilling the zero-shear stress conditions on the top and bottom surfaces of the plate without requiring supplementary constraints. For the computation of nanoplate displacement and natural frequency, isogeometric analysis is utilized to discretize the problem domain, offering superior geometric representation and computational efficiency. The present study systematically investigates the effects of flexoelectricity boundary conditions and material properties on structural behaviors of smart piezoelectric nanoplates. Numerical results demonstrate that the flexoelectric effect significantly enhances the stiffness and natural frequency of piezoelectric nanoplates, particularly for thinner structures. As thickness increases, this influence diminishes and the results converge toward classical predictions. The findings provide valuable insights for the design of nanoscale piezoelectric and flexoelectric devices in smart structural applications.
本研究对智能压电纳米片的自由振动和静态行为进行了全面的研究,并考虑了机电耦合现象,特别是挠曲电效应。挠曲电效应表征了电极化和应变梯度之间的相互作用,通过捕获纳米尺度上的尺寸相关特性来考虑。为提高建模精度,采用三阶切比雪夫剪切变形理论,自然满足板的上下表面零剪应力条件,无需补充约束。对于纳米板位移和固有频率的计算,采用等几何分析对问题域进行离散化,提供了优越的几何表示和计算效率。本研究系统地研究了柔性电边界条件和材料性能对智能压电纳米板结构性能的影响。数值结果表明,挠曲电效应显著提高了压电纳米片的刚度和固有频率,特别是对于较薄的结构。随着厚度的增加,这种影响减小,结果向经典预测收敛。这些发现为智能结构中纳米级压电和柔性电器件的设计提供了有价值的见解。
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引用次数: 0
Optimal characteristics of inspection vehicle for drive-by bridge inspection 行车桥检测车辆的最优特性研究
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-20 DOI: 10.1016/j.compstruc.2025.108037
A. Calderon Hurtado , E. Atroshchenko , K.C. Chang , C.W. Kim , M. Makki Alamdari
Drive-by inspection for bridge health monitoring has gained increasing attention over the past decade. This method involves analysing the coupled vehicle-bridge response, recorded by an instrumented inspection vehicle, to assess structural integrity and detect damage. However, the vehicle’s mechanical and dynamic properties significantly influence detection performance, limiting the effectiveness of the approach. This study presents a framework for optimising the inspection vehicle to enhance damage sensitivity. An unsupervised deep learning method—based on adversarial autoencoders-is used to reconstruct the frequency-domain representation of acceleration responses. The mass and stiffness of the tyre-suspension system of a two-axle vehicle are optimised by minimising the Wasserstein distance between damage index distributions for healthy and damaged bridge states. A Kriging meta-model is employed to approximate this objective function efficiently and identify optimal vehicle configurations in both dimensional and non-dimensional parameter spaces. Results show that vehicles with frequency ratios between 0.3 and 0.7 relative to the bridge’s first natural frequency are most effective, while those near resonance perform poorly. Lighter vehicles require lower natural frequencies for optimal detection. This is the first study to rigorously optimise the sensing platform for drive-by sensing and to propose a purpose-built inspection vehicle.
近十年来,行车检测在桥梁健康监测中越来越受到重视。该方法包括分析由仪器检测车辆记录的耦合车辆-桥梁响应,以评估结构完整性和检测损伤。然而,车辆的机械和动态特性显著影响检测性能,限制了该方法的有效性。本文提出了一个优化检测车辆以提高损伤灵敏度的框架。采用基于对抗性自编码器的无监督深度学习方法重建加速度响应的频域表示。通过最小化桥梁健康状态和受损状态下损伤指数分布之间的Wasserstein距离,优化了双轴车辆的轮胎-悬架系统的质量和刚度。利用Kriging元模型有效地逼近该目标函数,并在有维和无维参数空间中识别出最优的车辆配置。结果表明,相对于桥梁第一固有频率的频率比在0.3 ~ 0.7之间的车辆效果最好,而接近共振的车辆效果较差。较轻的车辆需要较低的固有频率以获得最佳检测。这是第一个严格优化驾驶感应传感平台并提出专用检测车辆的研究。
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引用次数: 0
Fast structural analysis of concrete thin-shells using deep learning 基于深度学习的混凝土薄壳快速结构分析
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-20 DOI: 10.1016/j.compstruc.2025.108042
Maxime Pollet , Paul Shepherd , Will Hawkins , Eduardo Costa
The present paper investigates the use of deep learning models as fast structural analysis tools for the design of concrete thin-shells. A dataset of 20,000 thin-shells with various geometric and material properties is generated. The buckling factor and the stress fields of each thin-shell under design loads are determined using Finite Element analysis. Three different types of deep learning models – Multilayer Perceptron (MLP), Convolutional Neural Network (CNN) and Graph Neural Network (GNN) – are then trained for buckling and stress prediction. For both prediction tasks, the MLP and the CNN are found to be the best performing models, reaching errors below 0.31 % for buckling prediction, and below 0.51 % for peak stress prediction. These results demonstrate the ability of such models to act as fast structural analysis tools for concrete thin-shells. Deep learning models could therefore enable faster and wider design space exploration during the shape optimisation of concrete thin-shells.
本文研究了深度学习模型作为混凝土薄壳设计的快速结构分析工具的使用。生成了具有各种几何和材料属性的20,000个薄壳的数据集。采用有限元法确定了各薄壳在设计载荷作用下的屈曲系数和应力场。三种不同类型的深度学习模型——多层感知器(MLP)、卷积神经网络(CNN)和图神经网络(GNN)——然后进行屈曲和应力预测的训练。对于这两个预测任务,MLP和CNN是表现最好的模型,屈曲预测的误差低于0.31%,峰值应力预测的误差低于0.51%。这些结果证明了这种模型作为混凝土薄壳结构快速分析工具的能力。因此,深度学习模型可以在混凝土薄壳形状优化过程中实现更快、更广泛的设计空间探索。
{"title":"Fast structural analysis of concrete thin-shells using deep learning","authors":"Maxime Pollet ,&nbsp;Paul Shepherd ,&nbsp;Will Hawkins ,&nbsp;Eduardo Costa","doi":"10.1016/j.compstruc.2025.108042","DOIUrl":"10.1016/j.compstruc.2025.108042","url":null,"abstract":"<div><div>The present paper investigates the use of deep learning models as fast structural analysis tools for the design of concrete thin-shells. A dataset of 20,000 thin-shells with various geometric and material properties is generated. The buckling factor and the stress fields of each thin-shell under design loads are determined using Finite Element analysis. Three different types of deep learning models – Multilayer Perceptron (MLP), Convolutional Neural Network (CNN) and Graph Neural Network (GNN) – are then trained for buckling and stress prediction. For both prediction tasks, the MLP and the CNN are found to be the best performing models, reaching errors below 0.31 % for buckling prediction, and below 0.51 % for peak stress prediction. These results demonstrate the ability of such models to act as fast structural analysis tools for concrete thin-shells. Deep learning models could therefore enable faster and wider design space exploration during the shape optimisation of concrete thin-shells.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"320 ","pages":"Article 108042"},"PeriodicalIF":4.8,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145560054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the direct numerical computation of Hopf bifurcations to assess the dynamic stability of fluid-conveying cantilevered pipes 基于Hopf分岔的直接数值计算方法评价悬臂管道的动力稳定性
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-19 DOI: 10.1016/j.compstruc.2025.108039
Hauke Gravenkamp , Bor Plestenjak
In the structural analysis of fluid-conveying pipes, dynamic instabilities can occur at specific values of the flow velocity, depending on the geometry as well as the material parameters of the pipe and the interior fluid. These critical points fall into the broader category of Hopf bifurcations. Typical numerical models of this problem employ a one-dimensional weighted residual method, leading to a velocity-dependent eigenvalue problem. The solutions form eigencurves, and the critical points are characterized by eigenvalues with vanishing real parts. In this paper, we show that critical points can be computed directly as solutions to a single three-parameter eigenvalue problem. In addition, we employ a recently developed method for computing individual eigencurves, based on the concept of exponential residual relaxation. For the discretization of the weak form, we use a finite element method with a particular version of C1-continuous high-order spectral elements, suited for fourth-order differential equations, and we discuss the differences compared to the more commonly used weighted residual method based on the basis functions of a linear Euler-Bernoulli beam. Four numerical examples demonstrate the effectiveness of the implemented algorithms. For verification, we provide a detailed derivation of analytical solutions for special cases.
在流体输送管道的结构分析中,根据管道的几何形状以及管道和内部流体的材料参数,在特定的流速值处可能发生动力不稳定。这些临界点属于广义的Hopf分岔。该问题的典型数值模型采用一维加权残差法,导致与速度相关的特征值问题。解形成特征曲线,临界点用实部消失的特征值表示。在本文中,我们证明了临界点可以直接作为单个三参数特征值问题的解来计算。此外,我们采用了最近开发的计算单个特征曲线的方法,基于指数残差松弛的概念。对于弱形式的离散化,我们使用了一种具有特定版本的c1连续高阶谱元的有限元方法,适用于四阶微分方程,并且我们讨论了与更常用的基于线性欧拉-伯努利梁基函数的加权残差法相比的差异。四个数值算例验证了所实现算法的有效性。为了验证,我们提供了特殊情况下解析解的详细推导。
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引用次数: 0
Tailored motion of folded ribbons: An algorithmic approach to singly curved-crease origami 折叠带的裁剪运动:单弯曲折痕折纸的算法方法
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-19 DOI: 10.1016/j.compstruc.2025.108038
Steven R. Woodruff , Evgueni T. Filipov
This study introduces a computational framework for the inverse design of curved-crease origami, addressing challenges in shape fitting and functional morphing of flexible, curved-crease ribbon structures. A novel vector-based representation is formulated to describe crease geometries composed of both pinched and unpinched curved segments, enabling efficient and accurate reconstruction of three-dimensional folded shapes. The proposed method integrates analytical geometry with bar-and-hinge simulation data, forming a hybrid forward model that captures the coupled bending and twisting behavior of curved folds. An inverse-design algorithm based on a genetic optimization scheme is developed to solve non-convex, non-smooth design problems involving (A) planar curve approximation, (B) maximization of tip deflection, and (C) three-dimensional target fitting. The computational framework automates the determination of optimal crease parameters and actuation schemes, achieving high precision with minimal manual intervention. Compared to prior approaches that rely on periodic origami tessellations, this method demonstrates the versatility of a single curved crease for achieving controlled shape change. The results highlight the framework’s potential for broad computational mechanics applications, including morphing materials, soft robotics, and adaptive structural systems.
本研究引入了弯曲折纸反设计的计算框架,解决了柔性弯曲折纸带结构在形状拟合和功能变形方面的挑战。提出了一种新的基于向量的表示方法来描述由压缩和非压缩弯曲段组成的折痕几何形状,从而实现了三维折叠形状的有效和准确重建。该方法将解析几何与杆铰仿真数据相结合,形成了一种混合正演模型,能够捕捉弯曲褶皱的弯曲和扭转耦合行为。提出了一种基于遗传优化方案的反设计算法,用于解决平面曲线逼近、尖端挠度最大化和三维目标拟合等非凸非光滑设计问题。计算框架自动确定最佳折痕参数和驱动方案,以最少的人工干预实现高精度。与以前依赖于周期性折纸镶嵌的方法相比,这种方法展示了单个弯曲折痕的多功能性,以实现受控的形状变化。研究结果突出了该框架在广泛计算力学应用方面的潜力,包括变形材料、软机器人和自适应结构系统。
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引用次数: 0
Path-independent sensitivity-driven topology optimization for continuum structures with combined nonlinearities 组合非线性连续体结构的路径无关灵敏度驱动拓扑优化
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-17 DOI: 10.1016/j.compstruc.2025.108044
Leijia Wang, Hui Xia, Huzhi Zhang, Mingqiao Zhu
This work presents an Evolutionary Structural Optimization (ESO) based topology optimization methodology for continuum structures subjected to combined material and geometric nonlinearities. The objective is compliance minimization, wherein stress constraints are implicitly addressed via the material constitutive model. The methodology integrates ESO with nonlinear Finite Element Analysis (FEA) introduces a novel sensitivity scheme derived from elemental strain energy densities at the final converged state, enhancing theoretical consistency and computational simplicity for path-dependent problems compared to conventional adjoint approaches. An efficient computational strategy couples MATLAB optimization logic with commercial FEA software using element birth–death techniques, achieving significant data transfer reduction. The methodology’s effectiveness and robustness are validated using benchmark examples involving compliance minimization for structures under static loads with combined material yielding and large deformations. Furthermore, the use of an ideal elastoplastic material model is shown to inherently manage stress constraints, leveraging the yield strength as a natural limiter, thereby providing a practical approach for designing structures under complex nonlinear conditions without requiring explicit stress constraints. This contribution advances the field by providing a theoretically consistent sensitivity analysis for path-dependent problems and offering a robust, and readily implementable methodology for nonlinear topology optimization in engineering practice.
本文提出了一种基于演化结构优化(ESO)的连续体结构拓扑优化方法。目标是顺应最小化,其中应力约束通过材料本构模型隐含地解决。该方法将ESO与非线性有限元分析(FEA)相结合,引入了一种新的灵敏度格式,该格式由最终收敛状态的元素应变能密度导出,与传统的伴随方法相比,增强了路径相关问题的理论一致性和计算简单性。一种有效的计算策略将MATLAB优化逻辑与商业有限元软件结合,采用元素生-死技术,实现了显著的数据传输减少。该方法的有效性和鲁棒性通过基准示例进行验证,该示例涉及在静态载荷下具有复合材料屈服和大变形的结构的柔度最小化。此外,使用理想弹塑性材料模型固有地管理应力约束,利用屈服强度作为自然限制,从而为复杂非线性条件下设计结构提供了一种实用的方法,而不需要明确的应力约束。这一贡献通过为路径相关问题提供理论上一致的灵敏度分析,并为工程实践中的非线性拓扑优化提供鲁棒且易于实现的方法,从而推动了该领域的发展。
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引用次数: 0
A phase-field regularized cohesive zone model to bridge pore architecture and R-curve behavior in geopolymer composites 一种相场正则化黏结带模型来桥接地聚合物复合材料的孔隙结构和r曲线行为
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-14 DOI: 10.1016/j.compstruc.2025.108034
Reshmi Maria Jose, Sudakshina Dutta
Micropores are prevalent in composite materials that play a decisive role in their overall macroscopic behavior. Determining the mechanical response accurately demands a detailed consideration of the pore characteristics such as volume fraction and size distribution. The present study focuses on the prediction of the nucleation and propagation of damage from pores in geopolymer composites, a new class of sustainable construction materials. A numerical model, realistically representing the pore features, is developed based on the images obtained from SEM analysis. Using the phase-field regularized cohesive zone model, the fracture of the material under uniaxial tension and flexure is studied. The variation of the crack pattern and the macroscopic response with different microstructural features, such as pore morphology, elastic properties, and matrix fracture energy are explored through an extensive parametric study. The model is capable of capturing the complex crack trajectories stemming from the statistical distribution of the pores in the material. The study offers a detailed view of the toughening mechanisms and fracture resistance inherent in geopolymer composites under tensile loads. The findings provide significant insight into how microstructural design can optimize the fracture performance of this class of materials.
微孔在复合材料中普遍存在,对复合材料的宏观性能起着决定性的作用。准确地确定力学响应需要详细考虑孔隙特征,如体积分数和尺寸分布。地聚合物复合材料是一种新型的可持续建筑材料,对其孔隙损伤的成核和扩展进行了研究。基于扫描电镜图像,建立了能真实反映孔隙特征的数值模型。采用相场正则内聚区模型,研究了材料在单轴拉伸和弯曲作用下的断裂。通过广泛的参数化研究,探讨了不同微观结构特征(如孔隙形态、弹性性能和基体断裂能)下裂纹模式和宏观响应的变化。该模型能够捕捉材料中孔隙的统计分布所产生的复杂裂纹轨迹。该研究提供了在拉伸载荷下地聚合物复合材料固有的增韧机制和抗断裂性的详细视图。这些发现为微观结构设计如何优化这类材料的断裂性能提供了重要的见解。
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引用次数: 0
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