Advances in Engineering Software最新文献_第7页

Complex profile optimization of marine diesel engine piston pin bore using hybrid GA-BP neural network and NSGA-II algorithm 基于GA-BP神经网络和NSGA-II算法的船用柴油机活塞销孔复杂轮廓优化

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-26 DOI: 10.1016/j.advengsoft.2025.104015

Guoxi Jing , Qiqiang Tong , Yafei Fu , Libin Zhao , Yi Han , Chao Liu

To address deformation mismatch and stress concentration in the pin holes of a steel-topped aluminum-skirted combined piston under service conditions, this study proposes a surface optimization methodology integrating axial and circumferential bore profiles. By constructing a genetic algorithm-optimized backpropagation neural network surrogate model combined with the NSGA-II multi-objective optimization algorithm and CRITIC weighting decision mechanism, this approach achieves multi-parameter collaborative optimization for the pin hole's intricate geometric configuration. Results demonstrate that compared to the original design, the optimized complex surface reduces peak contact pressure by 66.7 %, decreases equivalent stress by 52.0 %, and lowers equivalent stress at bolt counterbores by 44.1 %. Relative to axial profile-only optimization, the contact pressure is further reduced by 12.4 %. The proposed method effectively resolves stress inhomogeneity induced by elliptical deformation, with finite element simulations verifying that axial-circumferential collaborative optimization significantly enhances load distribution uniformity and fatigue resistance. This work provides a systematic algorithmic approach for high-reliability piston design, advancing the application of intelligent optimization techniques in engine component engineering.

为了解决钢顶铝裙边组合活塞在使用条件下销孔变形失配和应力集中问题，提出了一种轴向和周向孔型相结合的表面优化方法。该方法通过构建遗传算法优化的反向传播神经网络代理模型，结合NSGA-II多目标优化算法和CRITIC加权决策机制，实现了销孔复杂几何构型的多参数协同优化。结果表明：与原设计相比，优化后的复合表面峰值接触压力降低了66.7%，等效应力降低了52.0%，螺栓顶孔等效应力降低了44.1%。与仅轴向型面优化相比，接触压力进一步降低12.4%。该方法有效地解决了椭圆变形引起的应力不均匀性，并通过有限元仿真验证了轴向-周向协同优化显著提高了载荷分布均匀性和抗疲劳性。为高可靠性活塞设计提供了系统的算法方法，促进了智能优化技术在发动机零部件工程中的应用。

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引用次数: 0

Less than 500 lines self-contained Python finite element implementation of the phase-field method for fracture mechanics 500行以下自包含Python有限元实现的相场法断裂力学

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-25 DOI: 10.1016/j.advengsoft.2025.104013

Nathan Shauer

This paper presents a simple self-contained finite element implementation of the phase-field method for fracture mechanics. The implementations are done in Python, and they only use the standard NumPy and SciPy libraries for basic matrix operations and to solve the resulting systems of equations. The AT2 phase-field model is adopted and the additive decomposition of the energy density is employed to prevent fracture propagation under compressive stresses. The alternate minimization algorithm is adopted for solving the nonlinear system of equations. The implementation is verified using three examples: a bar under tension, a notched plate under tension, and a three-point bending test. The results display good agreement with analytical solutions and solutions from other authors. Each example is less than 500 lines long, and they are available on GitHub at https://github.com/nathanshauer/phasefield-jr-py and as supplementary data to this article. These Python scripts are intended for educational purposes and to provide a simple starting point for those interested in the phase-field method for fracture mechanics.

本文给出了断裂力学相场法的一个简单的自包含有限元实现。这些实现是用Python完成的，它们只使用标准的NumPy和SciPy库进行基本的矩阵运算和求解得到的方程组。采用AT2相场模型，采用能量密度加性分解防止压应力作用下的断裂扩展。采用交替极小化算法求解非线性方程组。通过三个实例验证了该方法的实现：受拉杆、受拉缺口板和三点弯曲试验。结果与解析解和其他作者的解吻合较好。每个示例的长度都不超过500行，可以在GitHub上（https://github.com/nathanshauer/phasefield-jr-py）获得，也可以作为本文的补充数据。这些Python脚本用于教学目的，并为那些对断裂力学的相场方法感兴趣的人提供一个简单的起点。

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引用次数: 0

Dynamic analysis of prestressed laminated stepped spherical-cylindrical shells 预应力层合阶梯球圆柱壳动力分析

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-23 DOI: 10.1016/j.advengsoft.2025.104018

Tianchen Huang , Kunpeng Zhu , Qingshan Wang , Rui Zhong

A dynamic analysis model for the laminated spherical-cylindrical shell structures under prestress is established to investigate its vibration characteristics. Based on the first-order shear deformation theory, the constitutive equations of the structural system are derived. The displacement and rotational components of the shell segments are expanded using a combination of Jacobi polynomials and Fourier series. To handle the complexities of boundary conditions and interfacial continuity between substructures, virtual spring stiffness, treated as penalty parameters, is introduced, and the dynamic characteristics of the structure are solved using the Ritz method. The reliability and accuracy of the proposed method are verified through comparisons with results from existing literature and simulations data of finite element method (FEM). Additionally, prestress is applied through continuously distributed surface loads. The study focused on examining the effects of key factors, including prestress magnitude, structural dimensions, and boundary conditions, on the free and forced vibration characteristics of the stepped shell system. This investigation aimed to elucidate the intrinsic relationship between parameter variations and dynamic responses. The computational results can provide safety guidance for the preliminary design of composite shells under prestressed conditions in engineering applications.

建立了预应力作用下层合球圆柱壳结构的动力分析模型，研究了层合球圆柱壳结构的振动特性。基于一阶剪切变形理论，推导了结构体系的本构方程。利用雅可比多项式和傅立叶级数的组合展开了壳段的位移和转动分量。为了处理边界条件的复杂性和子结构之间的界面连续性，引入了虚拟弹簧刚度作为惩罚参数，并采用里兹法求解结构的动力特性。通过与已有文献结果和有限元模拟数据的比较，验证了所提方法的可靠性和准确性。此外，预应力是通过连续分布的表面荷载施加的。研究的重点是检查关键因素，包括预应力大小，结构尺寸和边界条件，对阶梯壳系统的自由和强制振动特性的影响。本研究旨在阐明参数变化与动力响应之间的内在关系。计算结果可为工程应用中预应力条件下复合材料壳的初步设计提供安全指导。

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引用次数: 0

A domain evolution method to suppress the eigenfrequency and eigenmode errors caused by low-density elements in dynamic topology optimization 一种抑制动态拓扑优化中低密度元素引起的特征频率和特征模态误差的域演化方法

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-20 DOI: 10.1016/j.advengsoft.2025.104011

Qiangwei Zhao , Chong Wang , Tongxing Zuo , Qianglong Wang , Zhenyu Liu

In dynamic topology optimization involving eigenfrequencies, the solution of the direct problem is expected to reasonably reflect the mechanical performance of the real structure. However, due to the presence of low-density elements in the fixed design domain, there are always some errors compared to the real structure obtained through post-processing. These errors include errors in eigenfrequencies and eigenmodes, which may adversely affect the optimization process. This issue becomes especially pronounced when optimizing higher-order eigenfrequencies, where the errors can lead to discontinuities in the solution space and hinder convergence. To overcome this issue, this paper proposes a domain evolution method (DEM). In this method, the fixed design domain is divided into three domains: the solid domain, the narrow-band, and the low-density domain. The direct problem analysis is solved within the computational domain, which consists of the solid domain and the narrow-band, while the low-density domain remains inactive. Several examples are used to validate the proposed method. Numerical results indicate that the errors primarily arise during the form-finding process and become more significant with increasing order of eigenfrequency. The proposed method effectively mitigates these errors, ensuring stable convergence of the optimization process. Furthermore, a comparative analysis between the proposed method and the traditional approach shows that, in higher-order problems, low-density elements are closely related to classical issues in dynamic topology optimization, including localized modes, repeated eigenfrequencies, and mode switching phenomena. This provides further insight into the intrinsic difficulties of high-order eigenfrequency topology optimization.

在涉及特征频率的动态拓扑优化中，期望直接问题的解能合理地反映实际结构的力学性能。然而，由于在固定的设计域中存在低密度元素，与后处理得到的真实结构相比，总是存在一定的误差。这些误差包括特征频率误差和特征模态误差，它们可能对优化过程产生不利影响。当优化高阶特征频率时，这个问题变得特别明显，其中的误差可能导致解空间中的不连续并阻碍收敛。为了克服这一问题，本文提出了一种领域演化方法（DEM）。该方法将固定设计域划分为三个域：固体域、窄带域和低密度域。直接问题分析在计算域内解决，计算域由实体域和窄带域组成，而低密度域则不活动。算例验证了该方法的有效性。数值结果表明，误差主要出现在寻形过程中，并随着特征频率阶数的增加而增大。该方法有效地减轻了这些误差，保证了优化过程的稳定收敛。此外，通过与传统方法的对比分析表明，在高阶问题中，低密度元素与动态拓扑优化中的经典问题密切相关，包括局部模态、重复特征频率和模式切换现象。这为高阶特征频率拓扑优化的内在困难提供了进一步的见解。

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引用次数: 0

CH:ALK - Rapid automatic labeling toolkit to develop training images for concrete damage segmentation models 用于开发混凝土损伤分割模型的训练图像的快速自动标记工具包

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-12 DOI: 10.1016/j.advengsoft.2025.104010

Hyojae Shin , Byunghyun Kim , Soojin Cho

With the growing demand for automated structural inspection due to the aging of civil infrastructure, deep segmentation models have been increasingly adopted with the imaging of structures. However, training the models using common supervised learning requires labeled data, and traditional manual labeling is labor-intensive, inconsistent, and time-consuming. This study introduces CH:ALK (Concrete Highlighter: Accelerated Labeling Toolkit), a rapid labeling toolkit designed to produce fast, accurate, and consistent training images for supervised learning of damage segmentation models. CH:ALK integrates automatic labeling (AL) using pre-trained CGNet (Context-Guided Network) and SAM (Segment Anything Model) to label four types of concrete damage: cracks, efflorescence, rebar exposure, and spalling. CH:ALK supports pixel-level AL that can be followed by manual correction via brush tools in an intuitive GUI. Performance validation using 80 images labeled by four users demonstrated an average time reduction of 87.97 %, accuracy of 67.07 % (mIoU), and inter-user consistency of 78.44 %, compared with traditional manual labeling (ML). Furthermore, two segmentation models, CGNet and DeepLabV3+, trained with AL data showed comparable performance to those trained with ML data. CH:ALK offers a scalable solution for developing high-quality labeled datasets for civil infrastructure inspection.

随着民用基础设施老化对自动化结构检测的需求日益增长，随着结构的成像，深度分割模型被越来越多地采用。然而，使用普通监督学习训练模型需要标记数据，而传统的手动标记是劳动密集型的，不一致的，并且耗时。本研究介绍了CH:ALK (Concrete Highlighter: Accelerated Labeling Toolkit)，这是一个快速标记工具包，旨在为损伤分割模型的监督学习生成快速、准确和一致的训练图像。CH:ALK集成了自动标记（AL），使用预训练的CGNet（上下文引导网络）和SAM（任何部分模型）来标记四种类型的混凝土损伤：裂缝、风化、钢筋暴露和剥落。CH:ALK支持像素级人工智能，可以在直观的GUI中通过画笔工具进行手动校正。使用4个用户标记的80张图像进行性能验证，与传统的手动标记（ML）相比，平均时间减少了87.97%，准确率为67.07% (mIoU)，用户间一致性为78.44%。此外，用人工智能数据训练的两种分割模型CGNet和DeepLabV3+的性能与用ML数据训练的模型相当。CH:ALK为开发用于民用基础设施检查的高质量标记数据集提供了可扩展的解决方案。

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引用次数: 0

Stochastic vibration mechanisms in irregular coupled plate of supersonic porous functionally graded materials with temperature gradients 具有温度梯度的超音速多孔功能梯度材料不规则耦合板的随机振动机理

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-06 DOI: 10.1016/j.advengsoft.2025.104002

Hui Dong , Rui Zhong , Qingshan Wang , Tao Liu , Long Yu

The porous irregular functional gradient material (FGM) coupled plates, composed of two arbitrary quadrilateral plates coupled at any angle, are widely used in aerospace applications and equipment such as hypersonic vehicles. This paper investigates the stochastic response mechanisms of the porous irregular FGM coupled plate under aerothermal environments and base acceleration excitations. Three typical geometric models are established to validate the universality of the present method. The equations derived from supersonic piston theory and Mindlin plate theory incorporate temperature-dependent material properties. Subplate displacements are approximated using the first-kind Chebyshev polynomials, with irregular domain integrals resolved through coordinate transformations. Sufficient comparisons with the finite element method (FEM) and published literature confirm the accuracy and computational efficiency of this approach. The resulting systematic framework enables stochastic response analysis in analogous complex structures. Numerical discussions are conducted to analyze the effects of FGM gradient p, porosity ζ, coupling angle θ, boundary conditions, and temperature variations ΔT on the stochastic response, establishing practical tools for optimizing and conducting rapid integrity assessment of such structures.

不规则功能梯度材料（FGM）多孔耦合板是由两个任意四边形板以任意角度耦合而成的，广泛应用于航空航天和高超声速飞行器等设备。研究了不规则多孔FGM耦合板在空气热环境和基础加速度激励下的随机响应机制。建立了三个典型的几何模型，验证了该方法的通用性。由超声速活塞理论和明德林板理论导出的方程包含了与温度相关的材料特性。底板位移近似采用第一类切比雪夫多项式，通过坐标变换求解不规则域积分。与有限元法和已发表的文献进行了充分的比较，证实了该方法的准确性和计算效率。由此产生的系统框架使类似复杂结构的随机响应分析成为可能。通过数值讨论，分析了梯度p、孔隙度ζ、耦合角θ、边界条件和温度变化ΔT对随机响应的影响，建立了优化和快速完整性评估的实用工具。

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引用次数: 0

Proposed methodology for determining the optimal preload of rolling bearings 提出了确定滚动轴承最佳预紧力的方法

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-05 DOI: 10.1016/j.advengsoft.2025.104000

Slavomir Hrcek , Robert Kohar , Frantisek Brumercik , Daniel Kozarik , Jan Steininger , Witold Glowacz , Zhixiong Li

Rolling bearings are key components in various mechanical systems, where their proper preload ensures optimal operational performance, enhances bearing life, and minimises wear. Inadequate preload adjustment or improper clearance settings in bearings can lead to increased wear and premature failure, adversely affecting the overall reliability and efficiency of machinery. This study aims to develop a methodology for determining the optimal preload of rolling bearings, tailored to the load conditions and duty cycles of a selected structural node - in this case, the gearbox of a railway vehicle's drive unit. The proposed methodology considers the effects of preload on contact pressure, fatigue life, and the dynamic behaviour of bearings, drawing upon insights from previous studies and experimental findings. By implementing this methodology, the reliability and efficiency of systems in various applications, including high-speed machinery, automotive components, and wind turbines, can be significantly improved.

滚动轴承是各种机械系统中的关键部件，其适当的预紧力可确保最佳的操作性能，提高轴承寿命，并最大限度地减少磨损。预紧调整不足或轴承间隙设置不当会导致磨损增加和过早失效，对机械的整体可靠性和效率产生不利影响。本研究旨在开发一种方法来确定滚动轴承的最佳预紧力，根据所选结构节点的负载条件和占空比进行定制-在这种情况下，是铁路车辆驱动单元的齿轮箱。所提出的方法考虑了预载荷对接触压力、疲劳寿命和轴承动态行为的影响，借鉴了以往研究和实验结果的见解。通过实施这种方法，系统在各种应用中的可靠性和效率，包括高速机械，汽车部件和风力涡轮机，可以显着提高。

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引用次数: 0

Tensorized computational framework for stiffness matrix and its application to buckling optimization of multi-patch laminated shells via isogeometric analysis 张拉刚度矩阵计算框架及其在多片层合壳等几何屈曲优化中的应用

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-05 DOI: 10.1016/j.advengsoft.2025.103998

Xinming Li, Bowen Ji, Zhengdong Huang, Kuan Fan, Yuechen Hu, Jiachen Luo

The computational efficiency of stiffness matrix is commonly recognized as one of the primary challenges in mechanical analysis and optimization problems. In this paper, a tensorized framework is proposed to enhance the efficiency of stiffness matrix evaluations. The approach is validated through its application to isogeometric buckling optimization of laminated composite shells. Specifically, a matrix-oriented tensor multiplication (MOTM) is employed to facilitate parallel computation. Tensorized formulations for both stiffness matrix computation and sensitivity analysis are derived. Moreover, a comprehensive complexity analysis comparing the tensorized algorithm with conventional sequential algorithm is presented. Numerical examples illustrate that the proposed tensorized approach achieves a one-order-of-magnitude improvement in efficiency for stiffness matrix evaluations and a two-order-of-magnitude enhancement for sensitivity computations. Furthermore, this paper examines the elastic bound of lamination parameters (LPs), which are related to the positive definiteness of the elastic matrix. An artificial neural network (ANN) is integrated into the optimization process to enforce the elastic bound, thereby significantly reducing the number of indefinite elastic matrices at quadrature points.

刚度矩阵的计算效率是力学分析和优化问题中公认的主要挑战之一。为了提高刚度矩阵计算的效率，本文提出了一种张拉框架。通过对复合材料层合壳等几何屈曲优化的应用验证了该方法的有效性。具体来说，采用面向矩阵的张量乘法（MOTM）来促进并行计算。推导了刚度矩阵计算和灵敏度分析的张拉公式。此外，对张张化算法与传统序列算法进行了全面的复杂度分析。数值算例表明，所提出的张紧化方法在刚度矩阵计算效率上提高了一个数量级，在灵敏度计算效率上提高了两个数量级。此外，本文还研究了与弹性矩阵正确定性有关的层合参数的弹性界。在优化过程中引入人工神经网络（ANN）来强化弹性界，从而显著减少交点处不定弹性矩阵的数量。

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引用次数: 0

Design tool for tow-steered composite laminates in Abaqus and MSC.Patran/Nastran 在Abaqus和MSC中设计牵引复合层压板的工具。Patran / Nastran

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-05 DOI: 10.1016/j.advengsoft.2025.103997

Bangde Liu , Su Tian , Xin Liu , Frank Leone , Wenbin Yu

Tow-steered composites with curvilinear fiber paths offer enhanced mechanical performance in lightweight structures. However, the absence of commercial design tools for tow-steered composite structures limits innovation in their design for real-world applications. This paper introduces a user-friendly Design tool for Advanced Tailorable Composites (DATC), providing an integrated design framework in two widely used commercial finite element (FE) software packages, Abaqus and MSC.Patran/Nastran. DATC offers a graphical user interface (GUI) to connect multiscale plate modeling, FE modeling, machine learning (ML) modeling, and design optimization. The GUI streamlines the design process by managing all design configurations and interacting with several external codes. The multiscale modeling code SwiftComp calculates effective plate stiffness based on the steering fiber angles. The ML module trains efficient surrogate models as an alternative to FE models to reduce computational costs. The optimization module employs the open-source code Dakota to iteratively perform FE analysis with updated design variables, multiscale plate modeling, and optimization. The paper demonstrates the user-friendliness and adaptability of DATC through three case studies of tow-steered composite structures.

具有曲线纤维路径的牵引复合材料在轻量化结构中提供了增强的机械性能。然而，缺乏用于牵引复合结构的商业设计工具限制了其在实际应用中的设计创新。本文介绍了一个用户友好的高级可定制复合材料（DATC）设计工具，在两个广泛使用的商业有限元（FE）软件包Abaqus和MSC.Patran/Nastran中提供了一个集成的设计框架。DATC提供了一个图形用户界面（GUI）来连接多尺度板建模、FE建模、机器学习（ML）建模和设计优化。GUI通过管理所有设计配置和与几个外部代码交互来简化设计过程。多尺度建模程序SwiftComp基于转向纤维角度计算有效板刚度。ML模块训练高效的代理模型作为FE模型的替代，以降低计算成本。优化模块采用开源代码Dakota，迭代执行有限元分析，更新设计变量，多尺度板建模和优化。通过对三个双向复合结构的实例分析，论证了数据控制系统的用户友好性和适应性。

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引用次数: 0

IGA_RDTOP: A compact MATLAB framework for reaction-diffusion-based topology optimization using isogeometric analysis IGA_RDTOP：一个紧凑的MATLAB框架，用于使用等几何分析的基于反应扩散的拓扑优化

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-08-05 DOI: 10.1016/j.advengsoft.2025.104001

He Li , Peng Wei , Jianhu Shen , Xuyu Zhang , Sihan Ruan , Shiwei Zhou

Isogeometric analysis offers significant advantages in precise geometric representation, higher-order continuity, seamless integration with CAD systems, and improved accuracy for complex geometries in structural topology optimization. However, the complexity of its implementation and the rigorous coding requirements present notable challenges for researchers and students. To tackle this issue, we have developed a concise MATLAB code consisting of just 198 lines that incorporates isogeometric methods into 2D reaction-diffusion-based structural optimization. Furthermore, we introduce a streamlined 3D framework for constructing NURBS-based geometries, performing matrix operations, managing boundary conditions, handling initializations, and visualizing structures. Numerical experiments reveal robust convergence within 30 iterations, surpassing the efficiency of existing public codes. The open-source implementations in this study significantly lower the barrier to entry for isogeometric topology optimization, offering a powerful computational tool and a valuable educational resource.

等几何分析在精确的几何表示、高阶连续性、与CAD系统的无缝集成以及在结构拓扑优化中提高复杂几何形状的精度方面具有显著的优势。然而，其实现的复杂性和严格的编码要求对研究人员和学生提出了显着的挑战。为了解决这个问题，我们开发了一个简洁的MATLAB代码，该代码仅由198行组成，将等几何方法集成到基于二维反应扩散的结构优化中。此外，我们引入了一个流线型的3D框架，用于构建基于nurbs的几何图形，执行矩阵操作，管理边界条件，处理初始化和可视化结构。数值实验表明，该算法在30次迭代内具有较强的收敛性，优于现有的公共编码。本研究中的开源实现大大降低了等几何拓扑优化的进入门槛，提供了强大的计算工具和宝贵的教育资源。

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引用次数: 0