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An element decompositon method for three-dimensional solid mechanics 三维固体力学的一种单元分解方法
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-12-14 DOI: 10.1142/s0219876222500633
G. Wang, Zhonghu Wang, Yue Zhao
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引用次数: 0
A Modified Quantum-Inspired Genetic Algorithm for Continuum Structural Topology Optimization 连续体结构拓扑优化的改进量子遗传算法
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-12-05 DOI: 10.1142/s0219876222500566
Xiaojun Wang, Bowen Ni, L. Wang
Topology optimization and quantum computing have evolved rapidly over the past three decades. Previous topological optimum design methods suffered from financial burden and mathematical complexity. To overcome these shortcomings, a modified quantum-inspired evolutionary algorithm-based topology optimization method is proposed. This nested approach combines the classic solid isotropic microstructure with the penalization method and the double chains quantum genetic algorithm to establish an integral topology optimization framework. The former is utilized to determine the search direction of design variable updating. Meanwhile, the latter ensures abundant search diversity. The validity and feasibility of the developed methodology are eventually demonstrated by several application examples. The results indicate that the proposed optimization framework is independent of initial values and can lead to optimized structures. In addition, it will be more appropriate and effective if this strategy is deployed on a quantum computer in the future.
拓扑优化和量子计算在过去三十年中发展迅速。以往的拓扑优化设计方法都存在着财务负担和数学复杂性的问题。为了克服这些缺点,提出了一种改进的基于量子进化算法的拓扑优化方法。该嵌套方法将经典的固体各向同性微观结构与惩罚方法和双链量子遗传算法相结合,建立了一个完整的拓扑优化框架。前者用于确定设计变量更新的搜索方向。同时,后者确保了丰富的搜索多样性。最后通过几个应用实例证明了所开发方法的有效性和可行性。结果表明,所提出的优化框架与初始值无关,可以优化结构。此外,如果将来将这一策略部署在量子计算机上,将更加合适和有效。
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引用次数: 1
A prestressed intracellular biomechanical model for the platelet to capture the disc-to-sphere morphological change from resting to activated state. 利用预应力生物力学模型捕捉血小板从静止到激活的形态变化
IF 1.6 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-12-01 Epub Date: 2022-06-28 DOI: 10.1142/s0219876222500219
Dong Han, Jiafeng Zhang, Ge He, Bartley P Griffith, Zhongjun J Wu

This paper proposes a biomechanical platelet model with an intracellular prestressed assumption. The platelet structure is composed of a membrane cortex and a marginal band (MB). The membrane cortex is assumed in a spherical shape in its initial state and modeled using spring-network elements widely used for the similar membrane structure of red blood cells. The MB is modeled as one solid torus, which employs the hyperelastic material model, and is confined inside the cortex through a contact model. In the initial equilibrium state, the platelet has a stable, flat, and discoid shape. Upon activation, the possible mechanism of the unbinding rate of crosslink between the microtubules (MTs) is assumed to break the homogeneous stiffness of the MB, which causes the platelet to have a disc-to-sphere morphological transition. The numerical results and the experimental images of the MBs show good agreement. The proposed model provides a novelty in relating the mechanical property changes of the MB to the platelet morphological changes upon activation, thus, can provide a possible engineering tool to reveal the intriguing behavior of platelet upon activation.

本文提出了一种基于细胞内预应力假设的血小板生物力学模型。血小板结构由膜皮质和边缘带(MB)组成。假设膜皮层在初始状态下呈球形,并使用广泛用于红细胞类似膜结构的弹簧网络元素进行建模。MB被建模为一个实体环面,采用超弹性材料模型,并通过接触模型被限制在皮层内。在初始平衡状态下,血小板呈稳定、扁平、盘状。激活后,假设微管(MTs)之间交联的解结合率的可能机制打破了MB的均匀刚度,从而导致血小板从圆盘到球体的形态转变。数值结果与实验图像吻合较好。所提出的模型提供了一种新颖的方法,将MB的力学性能变化与活化后血小板的形态变化联系起来,因此,可以提供一种可能的工程工具来揭示活化后血小板的有趣行为。
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引用次数: 0
Author Index Volume 19 (2022) 作者索引第19卷(2022年)
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-12-01 DOI: 10.1142/s0219876222990018
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引用次数: 0
An Efficient Iterative Method for Nonlinear Boundary Value Problems with Existence and Uniqueness 求解存在唯一性非线性边值问题的一种有效迭代方法
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-11-21 DOI: 10.1142/s0219876222500554
Shih-Hsiang Chang
A simple and efficient iterative method involving Green’s function is presented for solving the general [Formula: see text]th-order nonlinear boundary value problems. Existence and uniqueness results for such problems are established using the fixed-point theorems. This guarantees the uniform convergence of the proposed iterative algorithm. The resulting iterative solutions does not contain any unknown constants and automatically satisfy the given boundary conditions. This gives the iterative method much wider applicability in obtaining the analytical or numerical solution of the problem. The performance of the proposed approach is assessed and tested on four examples.
针对一般的[公式:见正文]阶非线性边值问题,提出了一种简单有效的格林函数迭代方法。利用不动点定理建立了这类问题的存在唯一性结果。这保证了所提出的迭代算法的一致收敛性。得到的迭代解不包含任何未知常数,并自动满足给定的边界条件。这使得迭代方法在获得问题的解析或数值解方面具有更广泛的适用性。通过四个实例对所提出方法的性能进行了评估和测试。
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引用次数: 0
Spectral methods for hammerstein integral equations with non-smooth kernels 非光滑核hammerstein积分方程的谱方法
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-10-28 DOI: 10.1142/s0219876222500529
M. Arrai, C. Allouch, Hamza Bouda
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引用次数: 0
Structural damage detection using convolution neural networks based on modal strain energy and population of structures 基于模态应变能和结构总体的卷积神经网络结构损伤检测
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-10-28 DOI: 10.1142/s021987622230001x
Jiqiao Zhang, Zihan Jin, Shuai Teng, Gongfa Chen, F. Cui
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引用次数: 1
Improvement of Linear Tetrahedral Element Performance by Using Substructuring Method 用子结构法改进线性四面体单元性能
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-09-23 DOI: 10.1142/s0219876222500451
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引用次数: 0
Adaptive learning rate residual network based on physics-informed for solving partial differential equations 基于物理信息的自适应学习率残差网络求解偏微分方程
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-09-16 DOI: 10.1142/s0219876222500499
Miaomiao Chen, R. Niu, Ming Li, Junhong Yue
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引用次数: 4
NIPG method on Shishkin mesh for singularly perturbed convection-diffusion problem with discontinuous source term 源项不连续奇摄动对流扩散问题的Shishkin网格NIPG方法
IF 1.7 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-09-16 DOI: 10.1142/s0219876222500487
Kumar Rajeev Ranjan, S. Gowrisankar
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引用次数: 0
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International Journal of Computational Methods
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