Engineering Analysis with Boundary Elements最新文献

{"title":"Predicting downhole rock friction angles in complex geological settings: Machine learning approaches and application to the Xihu sag","authors":"Huayang Li ,&nbsp;Quanyou Liu ,&nbsp;Shijie Zhu ,&nbsp;Jiaao Chen ,&nbsp;Zehui Shi ,&nbsp;Rui Xiang","doi":"10.1016/j.enganabound.2025.106279","DOIUrl":"10.1016/j.enganabound.2025.106279","url":null,"abstract":"<div><div>Traditional laboratory methods for determining rock internal friction angles are costly, time-intensive, and limited by core sample quality, yet few studies address this in oil and gas drilling contexts. This research introduces a groundbreaking machine learning framework to predict offshore downhole internal friction angles, leveraging data from the East China Sea’s Xihu Sag. Using four algorithms and six well logging parameters selected via Spearman correlation analysis, we pioneered a systematic comparison of sequential versus random data partitioning. Sequential partitioning markedly reduced model accuracy and generalizability, most notably for KNN, while random partitioning enhanced performance. The XGBoost model excelled, achieving over 99 % accuracy in real downhole predictions with random splitting, showcasing unmatched accuracy, robustness, and generalization. We applied these predictions to assess wellbore stability in the Pinghu Formation using ABAQUS, demonstrating practical utility. This cost-effective, efficient alternative to traditional tests fills a critical gap in drilling research, offering novel insights into data partitioning and model selection. These findings not only advance predictive methodologies in complex geological settings but also provide a robust reference for future studies, underscoring the framework’s scientific rigor and high-value contributions.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"177 ","pages":"Article 106279"},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863634","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 novel real-time efficacy assessment method for tumor treating fields","authors":"Yueyue Xiao ,&nbsp;Songpei Hu ,&nbsp;Chunxiao Chen ,&nbsp;Hao Yu ,&nbsp;Liang Wang ,&nbsp;Jie Yu ,&nbsp;Bokai Chen ,&nbsp;Ming Lu ,&nbsp;Jagath C. Rajapakse","doi":"10.1016/j.enganabound.2025.106278","DOIUrl":"10.1016/j.enganabound.2025.106278","url":null,"abstract":"<div><div>Tumor treating fields (TTFields) is a promising non-invasive cancer treatment that uses alternating electric fields to disrupt tumor cell division. Despite its potential, there is a significant lack of precise and reliable methods for evaluating the efficacy of TTFields in clinical settings. The aim of this study is to develop and validate a new method for real-time assessment of the efficacy of TTFields. We proposed a novel neural network based on a collaborative fusion strategy of dual-branch (CFS-DB) to reconstruct the conductivity of tumor region for real-time assessment of the efficacy of TTFields. The proposed CFS-DB includes two independent branches: a conductivity branch and a structure branch. The conductivity branch employs FC-UNet to learn the mapping from measured boundary voltages to conductivity. The structural branch uses the results reconstructed by Gaussian-Newton method as the input for image-to-image training. Finally, the features from both branches are fused for coordinated end-to-end training. The simulation and experimental results show that the proposed CFS-DB has superior performance compared to five state-of-the-art deep learning networks. The CFS-DB method offers a novel and precise approach for evaluating the efficacy of TTFields, providing a new paradigm for clinical assessment.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"177 ","pages":"Article 106278"},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859831","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":"Two-dimensional time-domain boundary element method with impedance boundary condition for unsteady acoustic coupling problems","authors":"Yilei Fu ,&nbsp;Xiaoyu Wang ,&nbsp;Guangyu Zhang ,&nbsp;Zhiliang Hong","doi":"10.1016/j.enganabound.2025.106266","DOIUrl":"10.1016/j.enganabound.2025.106266","url":null,"abstract":"<div><div>This study develops a two-dimensional time-domain boundary element method to address the acoustic coupling in vortex-sound interaction phenomena, specifically for geometries with impedance boundary conditions. To ensure compatibility with the two-dimensional time-domain boundary integral equation, time and spatial basis functions were used to discretize the improved time-domain admittance boundary condition. The proposed method was validated through the construction of characteristic matrices and numerical results from several typical cases. It demonstrates high accuracy in both internal and external scattering problems, making it well-suited for studies on acoustic coupling.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"177 ","pages":"Article 106266"},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859830","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":"Concise semi-analytical solution for group piles impedance function and generalized group factor analysis considering SSI effect","authors":"Hongwei Hou ,&nbsp;Jianbo Li ,&nbsp;Zhiyuan Li ,&nbsp;Gao Lin","doi":"10.1016/j.enganabound.2025.106274","DOIUrl":"10.1016/j.enganabound.2025.106274","url":null,"abstract":"<div><div>It is foremost to investigate group piles dynamic response for large nuclear island structure considering high-precision soil structure interaction (SSI). However, the existing group piles effect obtained using static stiffness cannot reflect to the frequency dependence, and the spatial coupling characteristics of far-field artificial boundary limits the efficient and fine impedance function computation for large piles under complex foundation conditions. In present paper, a refined impedance function procedure for large-scale group piles is built on the scaled boundary finite element method (SBFEM). The far-field stiffness matrix is made to localize the spatial coupling using decoupling technique, a Runge-Kutta search strategy on frequency with zero-frequency starting is developed to obtain the complete stiffness matrix, and a generalized group factor calculation is proposed. The accuracy and effectiveness are proved with the cases of impedance function for small-scale group piles. At length, some fine large-scale nuclear island group piles model is investigated. All cases demonstrate that the pile impedance function, especially under the condition of layered ground, presents very obvious frequency correlations in the simulation of large-scale nuclear island group piles, which further confirms that the provided method has good engineering applicability.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"176 ","pages":"Article 106274"},"PeriodicalIF":4.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844175","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":"Nonlinear free vibration of multi-stepped beams made of functionally graded triply periodic minimal surface materials with FG-GPLRC reinforcements","authors":"Suppakit Eiadtrong ,&nbsp;Tan N. Nguyen ,&nbsp;Nuttawit Wattanasakulpong","doi":"10.1016/j.enganabound.2025.106271","DOIUrl":"10.1016/j.enganabound.2025.106271","url":null,"abstract":"<div><div>Stepped beams are crucial in various structural engineering applications. This investigation aims to explore linear and nonlinear vibrational behaviors of multi-stepped beams made of functionally graded triply periodic minimal surface materials with various patterns of graphene platelet (GPL) reinforcements through the thickness. The first order shear deformable theory coupled with von Kármán strains is employed to establish the equations of motion for describing linear and nonlinear vibrations of the beams. To solve the aforementioned problems, a numerical technique based on the generalized Ritz method cooperating with the Fourier sine functions and nodal Lagrangian polynomials is proposed to create the global system composed of several beam sections. The prime factors, such as number of beam steps, step ratio, porous and GPL distributions, boundary conditions, and others, which significantly influence the vibration of the beams, are rigorously investigated. According to the obtained results, in terms of the geometry of the beam, the increase in the number of beam steps and step ratio causes the frequency to rise.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"177 ","pages":"Article 106271"},"PeriodicalIF":4.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143837904","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":"Performance analysis of asphalt pavement on fractional viscoelastic saturated subgrade under moving loads","authors":"Zhi Yong Ai,&nbsp;Zheng Xu,&nbsp;Li Wei Shi,&nbsp;Xing Kai Wang","doi":"10.1016/j.enganabound.2025.106269","DOIUrl":"10.1016/j.enganabound.2025.106269","url":null,"abstract":"<div><div>This paper investigates the performance analysis of asphalt pavement on fractional viscoelastic saturated subgrade subjected to moving loads. Firstly, the thermoviscoelastic constitutive equation of asphalt pavement is derived by using the fractional viscoelastic Zener model, time-temperature superposition principle (TTSP) and Williams-Landel-Ferry (WLF) equation. Subsequently, the dynamic governing equations of saturated subgrade are established by the Biot theory. These equations are further generalized to address viscoelastic behavior through the fractional calculus theory and the principle of dynamic elastic-viscoelastic correspondence. With the combination of the boundary and interlayer contact conditions of the pavement-subgrade system, the solutions of this system are obtained by using the double Fourier transform, extended precise integration method (PIM) and the Fourier inverse transformation technique. Finally, the impacts of fractional order, temperature, asphalt surface thickness and moving load speed are conducted based on the theoretical validation. The results show that the maximum pavement deflection increases by about 50 % with the temperature increasing per 10 °C. When the fractional order is 0, the peak pore water pressure is &gt;30 % higher than that under other fractional order conditions. The maximum pavement deflection increases by about 10 % and the pore pressure decreases by about 4 % with the asphalt surface thickness increasing per 5 cm.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"176 ","pages":"Article 106269"},"PeriodicalIF":4.2,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828440","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 novel ML-DEM algorithm for predicting particle motion in rotary drums","authors":"Saman Kazemi ,&nbsp;Reza Zarghami ,&nbsp;Navid Mostoufi ,&nbsp;Rahmat Sotudeh-Gharebagh ,&nbsp;Riyadh I. Al-Raoush","doi":"10.1016/j.enganabound.2025.106258","DOIUrl":"10.1016/j.enganabound.2025.106258","url":null,"abstract":"<div><div>The discrete element method (DEM) is a widely used approach for studying the behavior of particles in industrial equipment, including rotary drums. Although DEM is highly accurate and efficient, it suffers from the computational cost in simulations. The primary objective of this research is to reduce the computational costs of DEM by introducing a novel machine learning (ML) approach based on a deep neural network for predicting particle behavior in rotary drums. The proposed approach utilizes a continuous convolution operator in a neural network. To evaluate its effectiveness, the results of the proposed ML-DEM approach were compared quantitatively and qualitatively with the experimental data and the conventional DEM results. It was shown that in addition to its high accuracy, the proposed approach reduces the computational costs by approximately 35 % and 65 % compared to the conventional DEM simulations on GPU and CPU (with 8 processors), respectively. Furthermore, to ensure the comprehensive and independent validation of the proposed algorithm, the study investigated the effects of various parameters such as drum rotational speed and fill ratio on lateral entropy-based mixing, circulation time, and velocity profile in the active layer. The results were then compared with those obtained using the conventional DEM and found to be in good agreement. This new algorithm can serve as a starting point for reducing computational costs in simulating particle motion in granular systems.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"177 ","pages":"Article 106258"},"PeriodicalIF":4.2,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829631","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":"Micro-macro spatiotemporal multi-graph network model for landslide displacement prediction","authors":"Ziqian Wang ,&nbsp;Xiangwei Fang ,&nbsp;Chunni Shen ,&nbsp;Wengang Zhang ,&nbsp;Peixi Xiong ,&nbsp;Chao Chen ,&nbsp;Luqi Wang","doi":"10.1016/j.enganabound.2025.106264","DOIUrl":"10.1016/j.enganabound.2025.106264","url":null,"abstract":"<div><div>The precise prediction of landslide displacement is crucial for effective geological disaster prevention and management. Existing models predominantly focus on temporal prediction, often neglecting the intricate spatiotemporal deformation characteristics of landslides. To address this gap, this study proposed a micro-macro spatiotemporal multi-graph network model (MM-STMGN) to analyze landslide deformation from micro-macro perspectives, enhancing spatiotemporal fusion prediction performance. The model extracts data on internal seepage in order to enhance the dataset. This involves integrating multiple heterogeneous spatiotemporal datasets that combine external influencing factors and spatiotemporal information on landslide displacement. By leveraging multiple graphs, it effectively captured the diversity of micro-scale and regional macro-scale spatial characteristics of landslide deformation, including spatial adjacency and deformation pattern correlations. Hierarchical Graph Neural Networks (HGNNs) and spatial attention networks were employed to adaptively process these micro-macro spatial features, while the Temporal Fusion Transformer (TFT) dynamically captured global and local temporal dependencies of landslide displacement. The micro-macro fusion module further processed aforementioned multiple heterogeneous datasets, achieving accurate prediction of landslide displacement within complex multidimensional spatiotemporal relationships. Applied to a landslide in the Three Gorges Reservoir area, MM-STMGN outperformed MLP, LSTM, and ST-GCN models across multiple evaluation metrics (MAE, MAPE, RMSE, R²) and various predictive performance aspects. Ablation experiments indicate that incorporating micro-macro deformation features and seepage factors can significantly enhance prediction performance of landslide displacement. The research findings provide a reliable and advanced approach for landslide disaster prevention and mitigation.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"176 ","pages":"Article 106264"},"PeriodicalIF":4.2,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820699","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":"Intelligent identification of coal miners with fatty liver under a cascade reduction strategy","authors":"Kai Bian ,&nbsp;Mengran Zhou ,&nbsp;Zongtang Zhang ,&nbsp;Feng Hu ,&nbsp;Lipeng Gao ,&nbsp;Kun Wang","doi":"10.1016/j.enganabound.2025.106262","DOIUrl":"10.1016/j.enganabound.2025.106262","url":null,"abstract":"<div><div>Precise and efficient assisted diagnosis of fatty liver disease in coal miners is directly related to the development of occupational health prevention and control efforts in the coal mining industry. We proposed a cascade reduction strategy based on neighbourhood component analysis (NCA) joined with expectation maximization and principal component analysis (EM-PCA) to address the shortcomings of traditional manual diagnostic methods such as low efficiency, missed diagnosis, misdiagnosis, and insufficient mining of necessary hidden information. We also developed a classification model under intelligent optimization algorithms for the identification of fatty liver in coal miners. First, the performance of different classification algorithms is compared to determine the basic classifier of extreme learning machine (ELM) for identifying fatty livers in coal miners. Then, four new continuous indicators are added to restructure the raw data. The NCA is used to remove redundant interference information that affects the model complexity and to screen out nine important feature parameters. Finally, the EM-PCA is synergized with the ELM of intelligent optimization algorithm by slime mould algorithm (SMA-ELM) is applied to further simplify the rest variable and obtain the optimal model with data of seven defining features. Meanwhile, the average accuracy, F1-score, Matthews correlation coefficient and time cost of the relatively excellent model were 95 %, 0.9652, 0.8781 and 1.5692 s. Experimental results show that the proposed cascade reduction strategy achieves accurate identification of fatty liver in coal miners with fewer features. The conclusions of this study can serve as a reference for early intelligent screening, intelligent health management and intelligent assisted diagnosis of occupational health in coal miners.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"176 ","pages":"Article 106262"},"PeriodicalIF":4.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817228","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":"Nonlinear wave-structure-mooring interactions in hurricane condition: A case study using three-dimensional time-domain simulations","authors":"Bo-yu Chen ,&nbsp;Shi-li Sun ,&nbsp;Atilla Incecik ,&nbsp;Zilin Zhang ,&nbsp;Huilong Ren","doi":"10.1016/j.enganabound.2025.106233","DOIUrl":"10.1016/j.enganabound.2025.106233","url":null,"abstract":"<div><div>Simulating the behavior of moored floating structures in real-world ocean waves presents significant challenges due to the inherent nonlinearities in both the wave environment and the dynamic response of the structure. This study introduces a novel three-dimensional (3D) time-domain solver, HOS-FNL, designed to accurately capture the complex interactions among wave components, the floating structure, and its mooring system. The High-Order Spectral (HOS) method models the energy transfer and wave profile evolution across varying frequencies and directions, while the Rankine panel method (FNL) computes the floater's hydrodynamic responses, with an embedded slender rod model coupling body motions and mooring forces. The HOS solver is validated against quartet resonance interaction benchmarks, while the full HOS-FNL system is verified through comparisons with industry-standard software under regular and irregular oblique waves. The solver is further extended to assess the hydrodynamic performance of a moored Floating Production Storage and Offloading (FPSO) under extreme hurricane conditions, using Hurricane IVAN (2004) as a case study. The buoy observed data informs the directional wave spectrum, enabling the generation of 3D nonlinear waves in the HOS domain. Visualizations of the FPSO's six degree of freedom (6-DOF) motions, load responses, mooring tensions, and velocity fields reveal significant nonlinear effects and underscore the limitations of linear wave theory.</div></div>","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"177 ","pages":"Article 106233"},"PeriodicalIF":4.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817473","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}