Juan Du , Yihang Zhang , Gang Zheng , Tao Li , Ningjun Jiang , Haizuo Zhou
{"title":"Micro-mechanical behavior of cement-stabilized sand under static and cyclic triaxial condition based on Discrete Element Method","authors":"Juan Du , Yihang Zhang , Gang Zheng , Tao Li , Ningjun Jiang , Haizuo Zhou","doi":"10.1016/j.advengsoft.2026.104103","DOIUrl":"10.1016/j.advengsoft.2026.104103","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"214 ","pages":"Article 104103"},"PeriodicalIF":5.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039204","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}
{"title":"An optimized single-log explicit Colebrook correlation with computational cost analysis","authors":"N. Abdul Settar, S.S. Mirsa Hussain","doi":"10.1016/j.advengsoft.2026.104104","DOIUrl":"10.1016/j.advengsoft.2026.104104","url":null,"abstract":"<div><div>The Darcy friction factor (<em>f</em>) 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 × 10<sup>3</sup> ≤ <em>Re</em> ≤ 1 × 10<sup>8</sup> and 0 ≤ ε/<em>D</em> ≤ 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<sup>–5</sup>. 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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"214 ","pages":"Article 104104"},"PeriodicalIF":5.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039205","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}
Siqi Yin , Jiang Liu , Haidong Wang , Feiqi Wang , Yumin Huang , Xiangyang Cui , Yong Cai
{"title":"An efficient and robust parallel strategy for Cartesian grid generation on complex geometries","authors":"Siqi Yin , Jiang Liu , Haidong Wang , Feiqi Wang , Yumin Huang , Xiangyang Cui , Yong Cai","doi":"10.1016/j.advengsoft.2026.104102","DOIUrl":"10.1016/j.advengsoft.2026.104102","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"214 ","pages":"Article 104102"},"PeriodicalIF":5.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145950130","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}
Zhibin Sun , Liangyue Jia , Jia Hao , Zuoxuan Li , Ruofan Deng , Nan Wang
{"title":"KT-MDO : a knowledge-template-driven multidisciplinary design optimization framework","authors":"Zhibin Sun , Liangyue Jia , Jia Hao , Zuoxuan Li , Ruofan Deng , Nan Wang","doi":"10.1016/j.advengsoft.2026.104105","DOIUrl":"10.1016/j.advengsoft.2026.104105","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"214 ","pages":"Article 104105"},"PeriodicalIF":5.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039206","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}
{"title":"Meshfree-based prediction for external acoustic radiation of laminated composite doubly-curved revolution shells","authors":"Shuangwei Hu , Qingshan Wang , Zhen Li","doi":"10.1016/j.advengsoft.2025.104089","DOIUrl":"10.1016/j.advengsoft.2025.104089","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"213 ","pages":"Article 104089"},"PeriodicalIF":5.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840458","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}
Xudong Jiang , Taigui Bai , Peichao Du , Zhenyu Huang
{"title":"Nonlinear dynamic behavior and fault diagnosis of rotor-bearing systems subjected to multi-source load unbalance in bulb-type turbine-generator units","authors":"Xudong Jiang , Taigui Bai , Peichao Du , Zhenyu Huang","doi":"10.1016/j.advengsoft.2025.104068","DOIUrl":"10.1016/j.advengsoft.2025.104068","url":null,"abstract":"<div><div>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 <span><math><mi>X</mi></math></span> and <span><math><mi>Y</mi></math></span> 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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"213 ","pages":"Article 104068"},"PeriodicalIF":5.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658450","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}
{"title":"A Multi-GPU explicit finite element framework with a parallel contact algorithm for drop testing of electronic products","authors":"Xinggang Cao, Xiang Zhao, Zhenhui Liu, Yongjie Pei, Yong Cai, Xiangyang Cui","doi":"10.1016/j.advengsoft.2025.104086","DOIUrl":"10.1016/j.advengsoft.2025.104086","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"213 ","pages":"Article 104086"},"PeriodicalIF":5.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738712","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}
Jie You , Yonghong Zhao , Liangyue Jia , Nan Wang , Zhibin Sun , Wenkai Zou , Yu Hu , Liang Liu , Chuanyang Zhang
{"title":"A fast crashworthiness assessment framework: Sectional force-based multi-stage physics informed surrogate model","authors":"Jie You , Yonghong Zhao , Liangyue Jia , Nan Wang , Zhibin Sun , Wenkai Zou , Yu Hu , Liang Liu , Chuanyang Zhang","doi":"10.1016/j.advengsoft.2025.104090","DOIUrl":"10.1016/j.advengsoft.2025.104090","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"213 ","pages":"Article 104090"},"PeriodicalIF":5.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790899","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}
Teoman Toprak , Michael Loibl , Guilherme H. Teixeira , Irina Shishkina , Chen Miao , Josef Kiendl , Benjamin Marussig , Florian Kummer
{"title":"Employing Continuous Integration inspired workflows for benchmarking of scientific software — A use case on numerical cut element quadrature","authors":"Teoman Toprak , Michael Loibl , Guilherme H. Teixeira , Irina Shishkina , Chen Miao , Josef Kiendl , Benjamin Marussig , Florian Kummer","doi":"10.1016/j.advengsoft.2025.104087","DOIUrl":"10.1016/j.advengsoft.2025.104087","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"213 ","pages":"Article 104087"},"PeriodicalIF":5.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790985","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}
Chen Wu , Lin Wang , Tiantang Yu , Sundararajan Natarajan
{"title":"An adaptive isogeometric analysis framework for two-dimensional steady-state unconfined seepage problems","authors":"Chen Wu , Lin Wang , Tiantang Yu , Sundararajan Natarajan","doi":"10.1016/j.advengsoft.2025.104093","DOIUrl":"10.1016/j.advengsoft.2025.104093","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"213 ","pages":"Article 104093"},"PeriodicalIF":5.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840544","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}