Engineering with Computers最新文献

A second-generation URANS model (STRUCT- $$epsilon $$ ) applied to a generic side mirror and its impact on sound generation 应用于通用侧后视镜的第二代 URANS 模型（STRUCT- $$epsilon $$ ）及其对声音产生的影响

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-18 DOI: 10.1007/s00366-024-02060-5

J. Munoz-Paniagua, J. García, E. Latorre-Iglesias

{"title":"A second-generation URANS model (STRUCT- $$epsilon $$ ) applied to a generic side mirror and its impact on sound generation","authors":"J. Munoz-Paniagua, J. García, E. Latorre-Iglesias","doi":"10.1007/s00366-024-02060-5","DOIUrl":"https://doi.org/10.1007/s00366-024-02060-5","url":null,"abstract":"A generic side mirror can be approximated to the combination of a half cylinder topped with a quarter of sphere. The flow structure in the wake of the side mirror is highly transient and the turbulence plays an important role affecting aeroacoustics through pressure fluctuation. Thus, this geometry is one of the test cases object of several numerical studies in recent years to assess the aerodynamic and aeroacoustic capabilities of the turbulence models. In this context, this study presents how the second-generation URANS closure STRUCT-(epsilon ) is able to properly predict the expected stagnation, flow separation and vortex shedding phenomena. Besides, the predictive accuracy for the noise generation mechanism is evaluated by comparing the spectra of the sound pressure level measured at several static pressure sensors with the numerical results obtained with the STRUCT-(epsilon ). The response of this turbulence model has exceeded that from other hybrid methods and is in good agreement with the results from Large-Eddy Simulations or the experiments. To conclude the paper, the applicability of STRUCT-(epsilon ) to construct a Spectral Proper Orthogonal Decomposition method that helps identifying the most energetic modes to appropriately capture the dominant flow structures is also introduced.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258317","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}

引用次数: 0

A universal material model subroutine for soft matter systems 用于软物质系统的通用材料模型子程序

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-18 DOI: 10.1007/s00366-024-02031-w

Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, Adrián Buganza Tepole, Ellen Kuhl

{"title":"A universal material model subroutine for soft matter systems","authors":"Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, Adrián Buganza Tepole, Ellen Kuhl","doi":"10.1007/s00366-024-02031-w","DOIUrl":"https://doi.org/10.1007/s00366-024-02031-w","url":null,"abstract":"Soft materials play an integral part in many aspects of modern life including autonomy, sustainability, and human health, and their accurate modeling is critical to understand their unique properties and functions. Today’s finite element analysis packages come with a set of pre-programmed material models, which may exhibit restricted validity in capturing the intricate mechanical behavior of these materials. Regrettably, incorporating a modified or novel material model in a finite element analysis package requires non-trivial in-depth knowledge of tensor algebra, continuum mechanics, and computer programming, making it a complex task that is prone to human error. Here we design a universal material subroutine, which automates the integration of novel constitutive models of varying complexity in non-linear finite element packages, with no additional analytical derivations and algorithmic implementations. We demonstrate the versatility of our approach to seamlessly integrate innovative constitutive models from the material point to the structural level through a variety of soft matter case studies: a frontal impact to the brain; reconstructive surgery of the scalp; diastolic loading of arteries and the human heart; and the dynamic closing of the tricuspid valve. Our universal material subroutine empowers all users, not solely experts, to conduct reliable engineering analysis of soft matter systems. We envision that this framework will become an indispensable instrument for continued innovation and discovery within the soft matter community at large.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258315","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}

引用次数: 0

Multiphysics discovery with moving boundaries using Ensemble SINDy and peridynamic differential operator 利用集合 SINDy 和周动态微分算子发现具有移动边界的多物理场

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-16 DOI: 10.1007/s00366-024-02064-1

Ali Can Bekar, Ehsan Haghighat, Erdogan Madenci

引用次数: 0

A new kernel-based approach for solving general fractional (integro)-differential-algebraic equations 基于内核的求解一般分数（整数）-微分-代数方程的新方法

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-15 DOI: 10.1007/s00366-024-02054-3

Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand

引用次数: 0

Adaptive Kriging-based method with learning function allocation scheme and hybrid convergence criterion for efficient structural reliability analysis 基于学习函数分配方案和混合收敛标准的自适应克里金方法，用于高效结构可靠性分析

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-15 DOI: 10.1007/s00366-024-02044-5

Jiaguo Zhou, Guoji Xu, Zexing Jiang, Yongle Li, Jinsheng Wang

{"title":"Adaptive Kriging-based method with learning function allocation scheme and hybrid convergence criterion for efficient structural reliability analysis","authors":"Jiaguo Zhou, Guoji Xu, Zexing Jiang, Yongle Li, Jinsheng Wang","doi":"10.1007/s00366-024-02044-5","DOIUrl":"https://doi.org/10.1007/s00366-024-02044-5","url":null,"abstract":"Structural reliability analysis poses significant challenges in engineering practices, leading to the development of various state-of-the-art approximation methods. Active learning methods, known for their superior performance, have been extensively investigated to estimate the failure probability. This paper aims to develop an efficient and accurate adaptive Kriging-based method for structural reliability analysis by proposing a novel learning function allocation scheme and a hybrid convergence criterion. Specifically, the novel learning function allocation scheme is introduced to address the challenge of no single learning function universally outperforms others across various engineering contexts. Six learning functions, including EFF, H, REIF, LIF, FNEIF, and KO, constitute a portfolio of alternatives in the learning function allocation scheme. The hybrid convergence criterion, combining the error-based stopping criterion with a stabilization convergence criterion, is proposed to terminate the active learning process at an appropriate stage. Moreover, an importance sampling algorithm is leveraged to enable the proposed method with the capability to deal with rare failure events. The efficiency and accuracy of the proposed method are demonstrated through four numerical examples and one engineering case.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258318","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}

引用次数: 0

LatticeGraphNet: a two-scale graph neural operator for simulating lattice structures LatticeGraphNet：用于模拟晶格结构的双尺度图神经算子

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-14 DOI: 10.1007/s00366-024-02034-7

Ayush Jain, Ehsan Haghighat, Sai Nelaturi

引用次数: 0

Simulating the aftermath of Northern European Enclosure Dam (NEED) break and flooding of European coast 模拟北欧封闭水坝（NEED）决堤和欧洲海岸洪水泛滥的后果

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-12 DOI: 10.1007/s00366-024-02055-2

Paweł Maczuga, Marcin Łoś, Eirik Valseth, Albert Oliver Serra, Leszek Siwik, Elisabede Alberdi Celaya, Anna Paszyńska, Maciej Paszyński

{"title":"Simulating the aftermath of Northern European Enclosure Dam (NEED) break and flooding of European coast","authors":"Paweł Maczuga, Marcin Łoś, Eirik Valseth, Albert Oliver Serra, Leszek Siwik, Elisabede Alberdi Celaya, Anna Paszyńska, Maciej Paszyński","doi":"10.1007/s00366-024-02055-2","DOIUrl":"https://doi.org/10.1007/s00366-024-02055-2","url":null,"abstract":"The Northern European Enclosure Dam (NEED) is a hypothetical project to prevent flooding in European countries following the rising ocean level due to melting arctic glaciers. This project involves the construction of two large dams between Scotland and Norway, as well as England and France. The anticipated cost of this project is 250 to 500 billion euros. In this paper, we present the simulation of the aftermath of flooding on the European coastline caused by a catastrophic break of this hypothetical dam. From our simulation results, we can observe a traveling wave after the accident, with a velocity of approximately 45 kms per hour, raising the sea level permanently inside the dammed region. This observation implies a need to construct additional dams or barriers protecting the Netherlands’ northern coastline and the Baltic Sea’s interior. Our simulations have been obtained using the following building blocks. First, a graph transformation model was applied to generate an adaptive mesh, refined towards the seabed and the seashore topography, approximating the topography of the Earth. We employ the composition graph grammar model to break the mesh’s triangular elements without generating hanging nodes. Second, the wave equation is formulated in a spherical latitude-longitude system of coordinates and solved by a high-order time integration scheme using the generalized (alpha) method. While our paper mainly focuses on the simulation of the NEED dam break, we also provide a stand-alone tool to generate an adaptive mesh of the whole Earth. We can use our software as a stand-alone package in FEniCS or other simulation software.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178560","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}

引用次数: 0

Scalable data-driven micromechanics model trained with pairwise fiber data for composite materials with randomly distributed fibers 针对随机分布纤维的复合材料，利用成对纤维数据训练可扩展的数据驱动微观力学模型

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-11 DOI: 10.1007/s00366-024-02059-y

Chaeyoung Hong, Wooseok Ji

{"title":"Scalable data-driven micromechanics model trained with pairwise fiber data for composite materials with randomly distributed fibers","authors":"Chaeyoung Hong, Wooseok Ji","doi":"10.1007/s00366-024-02059-y","DOIUrl":"https://doi.org/10.1007/s00366-024-02059-y","url":null,"abstract":"A machine learning (ML) model can provide a precise prediction very quickly, if it is well trained with a massive amount of reliable training data. A finite element method (FEM) is often employed to generate substantial training data. However, such a training process can be computationally burdensome especially for a geometrically complex structure. More critically, a specific size and/or configuration of a training model may confine the applicability of the trained model to the same kind only. In this study, we present a scalable ML approach with an efficient training strategy for micromechanical analysis of fiber-reinforced composite materials. Here, a scalable data-driven micromechanics model (SDMM) is proposed for predicting stresses in unidirectional composites with random fiber arrays. The training data for SDMM is defined in the unit of a fiber pair. A single dataset is composed of a stress value between a fiber pair and an image highlighting the pair with nearby fibers affecting the stress. Therefore, the training microstructures can be considerably small, but the pairwise ML model can be applied to every pair of adjacent two fibers inside a much larger microstructure. The scalability of SDMM is demonstrated by predicting the maximum principal stress values acting between every fiber pair in a super-sized representative volume element. The accuracy of the prediction results is evaluated by finite element analysis results. It is shown that a certain number of nearby fibers is required in the training datasets for accurate prediction.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178574","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}

引用次数: 0

3d fluid–structure interaction simulation with an Arbitrary–Lagrangian–Eulerian approach with applications to flying objects 采用任意-拉格朗日-欧勒方法进行三维流固耦合模拟，并将其应用于飞行物体

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-11 DOI: 10.1007/s00366-024-02043-6

Daniele Di Cristofaro, Attilio Frangi, Massimiliano Cremonesi

{"title":"3d fluid–structure interaction simulation with an Arbitrary–Lagrangian–Eulerian approach with applications to flying objects","authors":"Daniele Di Cristofaro, Attilio Frangi, Massimiliano Cremonesi","doi":"10.1007/s00366-024-02043-6","DOIUrl":"https://doi.org/10.1007/s00366-024-02043-6","url":null,"abstract":"Air-structure interaction is a key aspect to account for during the design of Micro Air Vehicles. In this context, modelisation and numerical simulations represent a powerful tool to analyse aerodynamic performances. This work proposes an advanced fluid–structure interaction numerical technique for the simulation of dragonfly wings, considered one of the most interesting model due to their complex flapping kinematic. The fluid subproblem, described by incompressible Navier–Stokes equations, is solved in a Finite Element Arbitrary-Lagrangian-Eulerian framework, while the solid subproblem is addressed using structural Finite Element, such as membranes and beams. Moreover, a novel remeshing algorithm based on connectivity manipulation and refinement procedure has been implemented to reduce element distortion in fluid mesh, thus increasing the accuracy of the fluid solution. Firstly, the deformation of a single hindwing has been studied. Secondly, the dragonfly model is enriched by incorporating the forewing and a simplified thorax geometry. Preliminary results highlight the complex dynamic of the fluid around the body as well as the efficiency of the proposed mesh generation algorithm.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178562","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}

引用次数: 0

Stress-based topology optimization using maximum entropy basis functions-based meshless method 使用基于最大熵基函数的无网格法进行基于应力的拓扑优化

IF 8.7 2区工程技术

Engineering with Computers Pub Date : 2024-09-09 DOI: 10.1007/s00366-024-02047-2

Imran Khan, Zahur Ullah, Baseer Ullah, Siraj-ul-Islam, Wajid Khan

{"title":"Stress-based topology optimization using maximum entropy basis functions-based meshless method","authors":"Imran Khan, Zahur Ullah, Baseer Ullah, Siraj-ul-Islam, Wajid Khan","doi":"10.1007/s00366-024-02047-2","DOIUrl":"https://doi.org/10.1007/s00366-024-02047-2","url":null,"abstract":"This paper presents volume-constrained stress minimization-based, topology optimization. The maximum entropy (maxent) basis functions-based meshless method for two-dimensional linear elastic structures is explored. This work focuses to test the effectiveness of the meshless method in handling the stress singularities during the topology optimization process. The commonly used moving least square basis functions are replaced with maximum entropy basis functions, as the latter possess weak Kronecker delta property which leads to the finite element method (FEM) like displacement boundary conditions imposition. The maxent basis functions are calculated once at the beginning of the simulation and then used in optimization at every iteration. Young’s modulus for each background cell is interpolated using the modified solid isotropic material with penalization approach. An open source pre-processor CUBIT is used. A comparison of the proposed approach with the FEM is carried out using a diverse set of problems with simple and complex geometries of structured and unstructured discretization, to establish that maxent-based meshless methods perform better in tackling the stress singularities due to its smooth stress field.","PeriodicalId":11696,"journal":{"name":"Engineering with Computers","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178564","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}

引用次数: 0