Advances in Engineering Software最新文献_第2页

Micro-mechanical behavior of cement-stabilized sand under static and cyclic triaxial condition based on Discrete Element Method 基于离散元法的静、循环三轴条件下水泥稳定砂细观力学行为

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

Advances in Engineering Software

Pub Date : 2026-03-01 Epub Date: 2026-01-20 DOI: 10.1016/j.advengsoft.2026.104103

Juan Du , Yihang Zhang , Gang Zheng , Tao Li , Ningjun Jiang , Haizuo Zhou

The micro-mechanical behavior at the bonded interface is crucial in determining the macroscopic strength of cement-stabilized sand. This study presents a comprehensive discrete element simulation model for cement-stabilized sand, which incorporates two types of particles, three types of contacts, and five types of load-bearing elements. Three key micro-parameters are derived from test data obtained from sand particles (SP), cementitious particles (CP) and cement-stabilized organic-matter-disseminated sand (OMDS) sourced from Hainan Island, thereby validating the reliability of the model through strain-stress relations and deformation characteristics. By simulating static and cyclic triaxial tests on cement-stabilized OMDS, this research investigates the evolution of bonded contact degradation, load-bearing capacity, stress contributions, and deviator fabric while clarifying the correlation between macro- and micro-mechanical behaviors. The results indicate that an increase in confining pressure accelerates occurrence of bonded contact degradation, as well as enhances responsiveness under cyclic loading compared to static loading. The degradation ratio of C-C (CP-CP) contacts is observed to be faster than that of S-C (SP-CP) contacts at a specific confining pressure. Under static loading conditions, the contributions from all three types of contact to overall strength remain constant. A significant linear relationship has been identified between the deviator fabric of S-S contacts and the generalized shear stress ratio. Additionally, it has been observed that the early macro-strength of cement-stabilized OMDS is closely associated with the anisotropy inherent within the S-S skeleton.

粘结界面的微观力学行为是决定水泥稳定砂宏观强度的关键。提出了一种综合的水泥稳定砂离散单元模拟模型，该模型包含两种颗粒、三种接触和五种承载单元。从海南岛砂粒（SP）、胶凝颗粒（CP）和水泥稳定有机质浸散砂（OMDS）的试验数据中得到3个关键微观参数，通过应变-应力关系和变形特征验证了模型的可靠性。通过模拟水泥稳定OMDS的静态和循环三轴试验，研究了黏结接触退化、承载能力、应力贡献和偏差结构的演变，同时阐明了宏观和微观力学行为之间的相关性。结果表明：与静加载相比，围压的增加加速了粘结接触退化的发生，提高了循环加载下的响应性；在一定围压下，C-C （CP-CP）触点的降解速率明显快于S-C （SP-CP）触点。在静态加载条件下，所有三种接触类型对总强度的贡献保持不变。发现了S-S接触偏差结构与广义剪应力比之间存在显著的线性关系。此外，已经观察到水泥稳定OMDS的早期宏观强度与S-S骨架内固有的各向异性密切相关。

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引用次数: 0

An optimized single-log explicit Colebrook correlation with computational cost analysis 优化单对数显式Colebrook相关性与计算成本分析

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

Advances in Engineering Software

Pub Date : 2026-03-01 Epub Date: 2026-01-22 DOI: 10.1016/j.advengsoft.2026.104104

N. Abdul Settar, S.S. Mirsa Hussain

The Darcy friction factor (f) is essential for modelling momentum and energy losses in turbulent internal pipe flow and is widely used in engineering simulation software. The Colebrook equation provides high accuracy but is implicit and requires iterative evaluation, limiting computational efficiency in large-scale or real-time analyses. Although numerous explicit correlations have been proposed, many rely on multi-logarithmic or high-order expressions that increase computational cost without proportional gains in accuracy. This study develops an optimized single-log explicit formulation of the Colebrook equation using nonlinear least-squares fitting over 4 × 10³ ≤ Re ≤ 1 × 10⁸ and 0 ≤ ε/D ≤ 0.05. The model shows excellent agreement with the Colebrook reference, achieving a mean relative error of 0.2591 % and a mean absolute error of 6.2 × 10^–5. To quantify execution effort, a Computational Cost Index (CCI) is introduced, enabling objective comparison of algorithmic complexity among explicit formulations. A Pareto-front analysis of 22 correlations demonstrates that the proposed model offers one of the best accuracy–cost trade-offs. The formulation is suitable for integration into engineering software, network solvers, and large-scale computational studies involving turbulent internal flows. The approach also provides a generalizable framework for developing compact, efficient explicit models as alternatives to multi-logarithmic or iterative schemes.

Darcy摩擦因数(f)是模拟管内湍流动量和能量损失的关键，被广泛应用于工程仿真软件中。Colebrook方程提供了很高的精度，但它是隐式的，需要迭代评估，限制了大规模或实时分析的计算效率。虽然已经提出了许多显式关联，但许多依赖于多对数或高阶表达式，这些表达式会增加计算成本，而精度却没有成比例的提高。在4 × 103≤Re≤1 × 108且0≤ε/D≤0.05条件下，利用非线性最小二乘拟合，建立了Colebrook方程的优化单对数显式公式。该模型与Colebrook参考文献具有较好的一致性，平均相对误差为0.2591%，平均绝对误差为6.2 × 10-5。为了量化执行工作量，引入了计算成本指数（CCI），使显式公式之间的算法复杂性能够进行客观比较。对22个相关性的Pareto-front分析表明，所提出的模型提供了最好的准确性-成本权衡之一。该公式适合集成到工程软件、网络求解器和涉及湍流内部流动的大规模计算研究中。该方法还提供了一个可推广的框架，用于开发紧凑、高效的显式模型，作为多对数或迭代方案的替代方案。

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引用次数: 0

An efficient and robust parallel strategy for Cartesian grid generation on complex geometries 复杂几何上笛卡尔网格生成的一种高效鲁棒并行策略

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

Advances in Engineering Software

Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI: 10.1016/j.advengsoft.2026.104102

Siqi Yin , Jiang Liu , Haidong Wang , Feiqi Wang , Yumin Huang , Xiangyang Cui , Yong Cai

Generating high-quality Cartesian grids for complex geometries remains a significant performance bottleneck in computational engineering. This paper presents a novel parallel framework to address this challenge, centered on the synergistic integration of two key innovations: (1) a distance-based adaptive strategy that, through its inherent smoothness, obviates the need for explicit grid balancing steps; and (2) a high-throughput subdivision and classification algorithm built upon a Linear Bounding Volume Hierarchy (LBVH) and an efficient parallel Union-Find algorithm. The entire workflow is efficiently parallelized using Threading Building Blocks (TBB). Evaluated on a 16-core desktop workstation, the framework demonstrates exceptional performance. The parallel subdivision engine achieves a throughput exceeding one million cells per second, while the interior/exterior classification process reaches ten million cells per second. In conclusion, the proposed method exhibits robust scalability and efficiency, paving the way for ultra-large-scale mesh generation and dynamic geometric reconstruction on commodity multi-core architectures.

为复杂几何图形生成高质量的笛卡尔网格仍然是计算工程中一个重要的性能瓶颈。本文提出了一个新的并行框架来解决这一挑战，其核心是两个关键创新的协同整合：(1)基于距离的自适应策略，通过其固有的平滑性，避免了明确的网格平衡步骤的需要；(2)基于线性边界体层次（LBVH）和高效并行Union-Find算法的高吞吐量细分分类算法。使用线程构建块（TBB）有效地并行化整个工作流。在16核桌面工作站上进行评估，该框架表现出卓越的性能。并行细分引擎实现了每秒超过100万个单元的吞吐量，而内部/外部分类过程达到每秒1000万个单元。综上所述，该方法具有良好的可扩展性和效率，为商品多核架构上的超大规模网格生成和动态几何重构铺平了道路。

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引用次数: 0

KT-MDO : a knowledge-template-driven multidisciplinary design optimization framework KT-MDO：知识模板驱动的多学科设计优化框架

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

Advances in Engineering Software

Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.advengsoft.2026.104105

Zhibin Sun , Liangyue Jia , Jia Hao , Zuoxuan Li , Ruofan Deng , Nan Wang

Multidisciplinary design optimization (MDO) typically employs surrogate models to alleviate the high computational cost of multidisciplinary simulations. However, under data-scarce engineering conditions, purely data-driven surrogates often suffer from accuracy degradation. Although knowledge–data fusion can mitigate this problem, existing MDO frameworks lack a unified mechanism for knowledge management and on-demand invocation. Domain knowledge is usually hard-coded in a static form within individual discipline modules, when design requirements change frequently, this rigid integration cannot accommodate dynamic reconfiguration of the optimization workflow, thereby constraining both design efficiency and system scalability. To address this issue, this paper proposes a Knowledge-Template-Driven Multidisciplinary Design Optimization framework (KT-MDO). First, domain knowledge is categorized into four types, attribute, monotonicity, shape, and formula, and a systematized representation is established for each type. Then, two types of knowledge templates are constructed: one for automatically formulating MDO problem models, and the other for automatically generating the corresponding code, enabling dynamic adaptation to diverse design requirements. In two representative lightweight design scenarios of an automotive body-in-white, KT-MDO achieves optimization performance comparable to baseline methods while reducing manual model configuration workload by approximately 54%. It also enables rapid adaptation across different scenarios with minimal additional cost, thereby significantly improving the efficiency and practicality of MDO.

多学科设计优化（MDO）通常采用代理模型来缓解多学科仿真的高计算成本。然而，在数据稀缺的工程条件下，纯数据驱动的替代算法往往存在精度下降的问题。虽然知识数据融合可以缓解这一问题，但现有的MDO框架缺乏统一的知识管理和按需调用机制。领域知识通常在单个学科模块中以静态形式硬编码，当设计需求频繁更改时，这种刚性集成不能适应优化工作流的动态重新配置，从而限制了设计效率和系统可伸缩性。为了解决这一问题，本文提出了一个知识模板驱动的多学科设计优化框架（KT-MDO）。首先，将领域知识分为属性、单调性、形状和公式四种类型，并对每种类型建立了系统化的表示。在此基础上，构建了两类知识模板：一种用于自动制定MDO问题模型，另一种用于自动生成相应的代码，能够动态适应不同的设计需求。在两个代表性的白车身轻量化设计场景中，KT-MDO实现了与基线方法相当的优化性能，同时将手动模型配置工作量减少了约54%。它还能够以最小的额外成本快速适应不同的场景，从而显著提高MDO的效率和实用性。

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引用次数: 0

Meshfree-based prediction for external acoustic radiation of laminated composite doubly-curved revolution shells 基于网格自由的层合复合材料双弯曲旋转壳外声辐射预测

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

Advances in Engineering Software

Pub Date : 2026-02-01 Epub Date: 2025-12-27 DOI: 10.1016/j.advengsoft.2025.104089

Shuangwei Hu , Qingshan Wang , Zhen Li

Doubly-curved shells are critical components in submarine bow hulls and unmanned underwater vehicles (UUVs). This study investigates their acoustic stealth performance—characterized by sound pressure level (SPL) and sound power level (SWL)—under external excitation in fluid environments. Based on the FSDT (first-order shear deformation theory), we establish coupled vibro-acoustic equations and employ the Kirchhoff-Helmholtz integral with CHIEF points to resolve non-uniqueness issues. A meshfree-Fourier spectral technique discretizes structural-acoustic variables, achieving high-fidelity predictions validated against FEM/BEM and literature. Parametric studies further quantify how geometry, material properties, excitation types, and boundary conditions affect acoustic responses, providing key insights for stealth-oriented shell design. The research results indicate: Frequency-amplitude reduction with increasing shape parameters, as structural softening lowers natural frequencies. Linear amplitude scaling with excitation force, leaving resonant frequencies unchanged in the linear regime. Fluid-dependent directivity, showing asymmetric patterns in light fluid and uniform distribution in heavy fluid.

双弯曲壳体是潜艇艏壳和无人潜航器的关键部件。在流体环境中，以声压级（SPL）和声功率级（SWL）为表征指标，研究了它们在外界激励下的声隐身性能。基于FSDT（一阶剪切变形理论），建立了振动-声学耦合方程，并采用带CHIEF点的Kirchhoff-Helmholtz积分来解决非唯一性问题。网格-傅里叶光谱技术离散结构-声学变量，实现高保真预测，验证了FEM/BEM和文献。参数化研究进一步量化几何形状、材料特性、激励类型和边界条件如何影响声学响应，为隐身型壳体设计提供关键见解。研究结果表明：随着结构软化降低固有频率，随着形状参数的增加，频率幅度减小；线性振幅与激励力成比例，使共振频率在线性范围内不变。与流体相关的指向性，在轻流体中表现为不对称模式，在重流体中表现为均匀分布。

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引用次数: 0

Nonlinear dynamic behavior and fault diagnosis of rotor-bearing systems subjected to multi-source load unbalance in bulb-type turbine-generator units 多源负载不平衡下球泡式汽轮发电机组转子-轴承系统的非线性动态特性及故障诊断

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

Advances in Engineering Software

Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.advengsoft.2025.104068

Xudong Jiang , Taigui Bai , Peichao Du , Zhenyu Huang

Due to their compact structure and complex hydrodynamic environment, bulb-type turbine-generator units are highly susceptible to multi-source load unbalance rising from hydraulic, electromagnetic, and mechanical interactions, leading to nonlinear vibration behaviors in the rotor-bearing system and posing challenges to stable operation and fault diagnosis. To investigate such dynamics, a nonlinear rotor-bearing dynamic model is first developed based on the Jeffcott rotor theory, incorporating three typical sources of load unbalance: mass eccentricity, angular misalignment, and inadequate oil supply pressure. Nonlinear oil-film forces are modeled to reflect realistic hydrodynamic effects. A dedicated experimental platform is constructed with integrated modules for motor actuation, fault loading, and sensor-based data acquisition. Vibration signals in

X

and

Y

directions are collected under varying speeds and fault intensities. A comprehensive analysis using time-domain plots, frequency spectra, orbit diagrams and radar plots reveals distinct fault-specific features. Furthermore, 160 labeled samples across eight rotational speeds are collected, from which 16 time–frequency features are extracted to form a dataset. To enhance fault identification, a Hybrid CNN–Transformer diagnostic model is proposed for the first time in the context of hydropower units. The model integrates convolutional feature extraction with global temporal attention, achieving superior adaptability to varying operating states. Results demonstrate that the model achieves a high classification accuracy of 98.75% on the test set. Confusion matrices show clear decision boundaries, and the average AUC exceeds 0.995, indicating excellent discriminative power. Compared to conventional MLP and LSTM models, the proposed method outperforms in terms of accuracy, robustness, and convergence rate, highlighting its effectiveness and adaptability for fault diagnosis of nonlinear, multi-source load unbalance in bulb-type hydro-turbine units.

球型汽轮发电机组结构紧凑，水动力环境复杂，容易受到液压、电磁、机械等多源载荷不平衡的影响，导致转子-轴承系统出现非线性振动行为，给稳定运行和故障诊断带来挑战。为了研究这种动力学，首先基于Jeffcott转子理论建立了转子-轴承非线性动力学模型，该模型包含了三种典型的负载不平衡源：质量偏心、角不对中和供油压力不足。建立了非线性油膜力模型，以反映真实的水动力效应。构建了一个专用的实验平台，集成了电机驱动、故障加载和基于传感器的数据采集模块。在不同的速度和故障强度下采集X和Y方向的振动信号。利用时域图、频谱图、轨道图和雷达图进行综合分析，揭示了明显的故障特征。进一步，在8种转速下收集160个标记样本，从中提取16个时频特征形成数据集。为了提高故障识别能力，首次提出了一种基于CNN-Transformer的水电机组混合故障诊断模型。该模型将卷积特征提取与全局时间关注相结合，对不同的运行状态具有较好的适应性。结果表明，该模型在测试集上达到了98.75%的分类准确率。混淆矩阵具有清晰的决策边界，平均AUC超过0.995，具有较好的判别能力。与传统的MLP和LSTM模型相比，该方法在精度、鲁棒性和收敛速度等方面均有显著提高，突出了该方法在球型水轮机组非线性多源负载不平衡故障诊断中的有效性和适应性。

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引用次数: 0

A Multi-GPU explicit finite element framework with a parallel contact algorithm for drop testing of electronic products 基于并行接触算法的多gpu显式有限元框架在电子产品跌落测试中的应用

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

Advances in Engineering Software

Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.advengsoft.2025.104086

Xinggang Cao, Xiang Zhao, Zhenhui Liu, Yongjie Pei, Yong Cai, Xiangyang Cui

To overcome the limitations of single Graphics Processing Unit (GPU) configurations in terms of computational resources and acceleration performance, this study develops a multi-GPU parallel computing framework for the explicit finite element method (FEM) that incorporates a parallel contact algorithm. A hybrid parallelization approach is adopted, combining coarse-grained parallelism with subdomains mapped to GPUs and fine-grained parallelism with elements mapped to threads, along with a stream-per-element-type concurrency technique to achieve efficient multi-GPU computation of element internal forces. For the global contact search phase, a GPU-to-GPU contact node communication algorithm is designed, and a GPU-parallelized bucket sort algorithm is developed. To address inter-GPU contact node drift after sliding, a communication and reorganization strategy for remote nodes is proposed. A complete inter-GPU contact force communication scheme is constructed based on the penalty contact algorithm. The performance of the proposed multi-GPU explicit FEM framework is evaluated through a series of benchmark simulations, demonstrating a maximum speedup of 223.29 on four GPUs, significantly enhancing the computational efficiency for drop-test simulations.

为了克服单图形处理单元（GPU）配置在计算资源和加速性能方面的限制，本研究开发了一种用于显式有限元法（FEM）的多GPU并行计算框架，该框架包含并行接触算法。采用混合并行化方法，将子域映射到gpu的粗粒度并行化和元素映射到线程的细粒度并行化相结合，采用逐元素流型并行化技术，实现了元素内力的高效多gpu计算。针对全局接触搜索阶段，设计了gpu - gpu接触节点通信算法，开发了gpu并行桶排序算法。为了解决gpu间接触节点滑动后漂移的问题，提出了一种远程节点的通信重组策略。基于罚接触算法，构造了完整的gpu间接触力通信方案。通过一系列的基准模拟，对所提出的多gpu显式有限元框架的性能进行了评估，结果表明，在4个gpu上的最大加速速度为223.29，显著提高了跌落测试模拟的计算效率。

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引用次数: 0

A fast crashworthiness assessment framework: Sectional force-based multi-stage physics informed surrogate model 一个快速耐撞性评估框架：基于截面力的多级物理模型

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

Advances in Engineering Software

Pub Date : 2026-02-01 Epub Date: 2025-12-19 DOI: 10.1016/j.advengsoft.2025.104090

Jie You , Yonghong Zhao , Liangyue Jia , Nan Wang , Zhibin Sun , Wenkai Zou , Yu Hu , Liang Liu , Chuanyang Zhang

Finite-element analysis (FEA) is the benchmark for crashworthiness evaluation, yet its prohibitive computational cost and labour-intensive re-meshing make it unsuitable for iterative structural optimization. Although surrogate models offer partial relief, they still demand large simulation datasets and frequent mesh updates. Focusing on the vehicle front crash condition, proposing a Sectional Force-Based Multi-Stage Physics Informed Surrogate Model (SFB-MSPISM) that integrates sectional force features with semi-empirical physical priors (i.e., the Gérard buckling formula) in a two-stage architecture, thereby reducing the training data requirement and virtually eliminating manual re-meshing. In Stage-1, a Physics-Informed XGBoost-CNN-Transformer ensemble (PI-XCT) is proposed to predict the peak sectional force and energy absorption of five key beams; In Stage-2, a multi-output XGBoost regressor is proposed to estimate the maximum crash acceleration and the Toe-board intrusion. Trained on fewer than 130 high-fidelity simulations (100 data for Stage-1 and 26 data for Stage-2), SFB-MSPISM attains a coefficient of determination of 0.97 for peak deceleration and a mean intrusion error of 2.525 mm (≤5 %), while reducing per-design evaluation time from 6.5 h to 0.038 s. These results show a speed-up exceeding five orders of magnitude and virtually eliminate human intervention, thereby enabling millisecond-scale, physically consistent crashworthiness assessment for rapid design exploration.

有限元分析（FEA）是耐撞性评估的基准，但其高昂的计算成本和劳动密集型的重新网格划分使其不适合迭代结构优化。虽然代理模型提供了部分缓解，但它们仍然需要大量的模拟数据集和频繁的网格更新。针对汽车前碰撞工况，提出了一种基于分段力的多级物理信息代理模型（sbf - mspism），该模型将分段力特征与半经验物理先验（即gsamrard屈曲公式）集成在两级结构中，从而减少了对训练数据的需求，几乎消除了人工重新网格划分。在第一阶段，提出了一个基于物理信息的XGBoost-CNN-Transformer集成（PI-XCT）来预测五个关键梁的峰值截面力和能量吸收；在第二阶段，提出了一个多输出的XGBoost回归器来估计最大碰撞加速度和脚趾板入侵。在不到130个高保真仿真（阶段1 100个数据，阶段2 26个数据）的训练下，SFB-MSPISM获得了峰值减速的决定系数0.97，平均入侵误差为2.525 mm(≤5%)，同时将每次设计评估时间从6.5小时减少到0.038秒。这些结果表明，加速速度超过了五个数量级，几乎消除了人为干预，从而实现了毫秒级、物理上一致的耐撞性评估，从而实现了快速设计探索。

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引用次数: 0

An adaptive isogeometric analysis framework for two-dimensional steady-state unconfined seepage problems 二维稳态无侧限渗流问题的自适应等几何分析框架

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

Advances in Engineering Software

Pub Date : 2026-02-01 Epub Date: 2025-12-24 DOI: 10.1016/j.advengsoft.2025.104093

Chen Wu , Lin Wang , Tiantang Yu , Sundararajan Natarajan

In addressing seepage problems with free surfaces, conventional moving mesh methods often encounter numerical instability due to mesh distortion, whereas fixed mesh approaches typically fail to deliver high-accuracy solutions with controllable computational cost. To overcome these limitations, this study develops an adaptive isogeometric analysis framework for two-dimensional steady-state unconfined seepage, aiming to achieve efficient and stable numerical solutions. Combining the local refinement capability of truncated hierarchical NURBS with the permeability adjustment strategy, the proposed framework is shown to capture the free surface accurately while avoiding mesh reconstruction required by traditional methods. By introducing an adaptive criterion based on a posteriori error estimator, the system can intelligently identify and refine key regions near the free surface during the iteration process, significantly improving computational efficiency without compromising accuracy. Numerical results demonstrate that the proposed method exhibits excellent robustness under conditions with different seepage properties, and shows exceptionally good agreement with reference solutions. This method also provides a reliable foundation for subsequent multi-physics coupling analysis and seepage simulation in complex engineering scenarios.

在求解自由表面渗流问题时，传统的移动网格方法往往由于网格变形而导致数值不稳定，而固定网格方法通常无法提供计算成本可控的高精度解决方案。为了克服这些局限性，本研究开发了二维稳态无侧限渗流的自适应等几何分析框架，旨在获得高效稳定的数值解。将截断分层NURBS的局部细化能力与渗透率调整策略相结合，该框架能够准确地捕获自由表面，同时避免了传统方法所需要的网格重建。通过引入基于后验误差估计的自适应准则，系统可以在迭代过程中智能识别和细化自由曲面附近的关键区域，在不影响精度的前提下显著提高计算效率。数值结果表明，该方法在不同渗流特性条件下均具有较好的鲁棒性，且与参考解具有较好的一致性。该方法也为后续复杂工程场景下的多物理场耦合分析和渗流模拟提供了可靠的基础。

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引用次数: 0

Employing Continuous Integration inspired workflows for benchmarking of scientific software — A use case on numerical cut element quadrature 在科学软件的基准测试中采用持续集成启发的工作流程——数值切割单元正交的一个用例

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

Advances in Engineering Software

Pub Date : 2026-02-01 Epub Date: 2025-12-19 DOI: 10.1016/j.advengsoft.2025.104087

Teoman Toprak , Michael Loibl , Guilherme H. Teixeira , Irina Shishkina , Chen Miao , Josef Kiendl , Benjamin Marussig , Florian Kummer

In the field of scientific computing, one often finds several alternative software packages (with open or closed source code) for solving a specific problem. These packages sometimes even use alternative methodological approaches, e.g., different numerical discretizations. If one decides to use one of these packages, it is often not clear which one is the best choice. To make an informed decision, it is necessary to measure the performance of the alternative software packages for a suitable set of test problems, i.e., to set up a benchmark. However, setting up benchmarks ad-hoc can become overwhelming as the parameter space expands rapidly. Very often, the design of the benchmark is also not fully set at the start of some project. For instance, adding new libraries, adapting metrics, or introducing new benchmark cases during the project can significantly increase complexity and necessitate laborious re-evaluation of previous results. This paper presents a proven approach that utilizes established Continuous Integration tools and practices to achieve high automation of benchmark execution and reporting. Our use case is the numerical integration (quadrature) on arbitrary domains, which are bounded by implicitly or parametrically defined curves or surfaces in 2D or 3D.

在科学计算领域，人们经常会发现解决特定问题的几个替代软件包（带有开放或封闭源代码）。这些软件包有时甚至使用替代的方法方法，例如，不同的数值离散化。如果决定使用这些软件包中的一个，通常不清楚哪个是最好的选择。为了做出明智的决定，有必要针对一组合适的测试问题来度量可选软件包的性能，也就是说，建立一个基准。然而，随着参数空间的迅速扩展，临时设置基准可能会变得难以应付。通常，在某些项目开始时，基准的设计也没有完全设置好。例如，在项目期间添加新的库、调整度量标准或引入新的基准用例会显著增加复杂性，并且需要费力地重新评估以前的结果。本文提出了一种经过验证的方法，该方法利用已建立的持续集成工具和实践来实现基准执行和报告的高度自动化。我们的用例是任意域上的数值积分（正交），这些域由2D或3D的隐式或参数定义的曲线或曲面所包围。

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引用次数: 0