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Accelerating the shooting and bouncing ray based electromagnetic scattering calculations via CPU and GPU Implementations: Application to PREDICS tool Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-18 Özkan KIRIK, Caner ÖZDEMİR
In this paper, we present the parallel computation of physical electromagnetic (EM) solvers, namely physical optics (PO), shooting and bouncing rays (SBR), and the physical theory of diffraction (PTD), which are used for EM scattering/diffraction calculations. The accelerated solvers have been tested on CPU and GPU kernels for significantly faster calculation times. As an application, the developed
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An effective subinterval analysis method for uncertain problems with large uncertainty based on positive and negative gradients Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-16 Hui Lü, Shunjiang Zhong, Xiaoting Huang, Wen-Bin Shangguan
An effective subinterval analysis method is proposed to predict the response boundaries of uncertain problems with large uncertainty based on the positive and negative gradients. In the proposed method, the uncertain parameters with large uncertainty are described as interval variables. The variation intervals of interval variables are firstly divided into a series of uniform subintervals, and the
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Optimization design of cement mixing columns supported height embankment using Plaxis remote scripting and Gene-expression programming technique Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-16 Van-Ngoc Pham
This paper is going to present the advanced feature in Plaxis using remote scripting with Python wrapper. Python allows engineers to create Plaxis models, calculate construction phases, and plot the results automatically. The settlement estimation of a high embankment, supported by cement mixing columns (CMC), is presented as a case study. Approximately 500 models were created and analyzed within a
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Compressive strength and sensitivity analysis of fly ash composite foam concrete: Efficient machine learning approach Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-13 Chen Zhang, Zhiduo Zhu, Liang Shi, Xingliang Kang, Yu Wan, Wangwen Huo, Liu Yang
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Slope stability prediction based on GSOEM-SV: A mobile application practicably deploy in engineering verification Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-11 Xiaolong Wang, Shunchuan Wu, Longqiang Han, Jiaxin Wang, Jingqi Cui, Yaxi Shen
Slope stability evaluation is a complex and uncertain system problem, and carrying out slope stability prediction is the prerequisite and foundation for slope disaster prevention. In order to achieve fast and accurate prediction of slope stability, this paper considers height, total slope angle, unit weight, cohesion, internal friction angle, and pore water pressure ratio as input features and proposes
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A mixed cell compressed sparse row for time domain boundary element method in elastodynamics Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-11 Weiyu Zhou, Yongqiang Chen
In this paper, a novel mixed cell compressed sparse row (mCCSR) scheme is proposed to address the sparsity, block structure, and partial sub-matrix symmetry inherent in the coefficient matrix of the time domain boundary element method (TDBEM) in elastodynamics. The impulse function used in the fundamental solution of TDBEM introduces a time-lag phenomenon in the responses originating from the excitation
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A novel train–bridge interaction computational framework based on a meshless box girder model Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-11 Zhanjun Shao, Ping Xiang, Han Zhao, Peng Zhang, Xiaonan Xie, Linxiong Gan, Wenwu Li, Binbin Yin, K.M. Liew
In traditional train–bridge coupled system (TBCS), simply supported box girder bridges are often modeled using Euler beam elements, neglecting their spatial structure. This simplification may yield inaccurate results, impacting the running safety analysis of high-speed railway. To address this issue, a novel train–bridge interaction computational framework based on first-order shear deformation theory
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Mechanics–thermotics–chemistry coupling response model and numerical simulation of reactive materials under impact load Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-09 Jianguang Xiao, Jinlin Zhang, Junyang Ma, Delong An, Rongchao Wei, Shiyi Liu
With its unique kinetic penetration/chemical implosion combined damage ability, reactive damage element (RDE) can greatly or even leap the damage power of ammunition warhead, and has a promising application prospect in the field of ammunition. However, due to the high transient and nonlinear characteristics of shock release process, there is still a lack of real-time quantitative research methods to
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A novel interval matrix stiffness method for the analysis of steel frames with uncertain semi-rigid connections Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-08 Federica Genovese, Alba Sofi
The static analysis of steel frames with uncertain semi-rigid connections is addressed. The effects of connection flexibility are incorporated into the frame model by means of rotational springs at the end nodes of beams. Assuming an idealized linear-elastic behaviour, the initial stiffness of rotational springs is expressed in terms of the so-called which is considered uncertain to take into account
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Aircraft Engine Remaining Useful Life Prediction using neural networks and real-life engine operational data Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-06 Slawomir Szrama, Tomasz Lodygowski
Aircraft Engine Remaining Useful Life is a key factor which strongly affects flight operations safety and flight operators business decisions. In the article authors decided to present the concept of engine remaining useful life prediction. Proposed method was created as a result of the analysis of the real turbofan engine operational data collected for a few years which was used as an input data for
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Extreme fine-tuning and explainable AI model for non-destructive prediction of concrete compressive strength, the case of ConcreteXAI dataset Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-04 J.A. Guzmán-Torres, F.J. Domínguez-Mota, G. Tinoco-Guerrero, J.G. Tinoco-Ruíz, E.M. Alonso-Guzmán
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MetamaterialFinder: A software framework for discovering and analyzing mechanical metamaterials based on simple closed curves Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-02 Mathias Fleisch, Andreas Thalhamer, Sandra Schlögl, Peter Filipp Fuchs, Gerald Pinter, Michael Berer
Mechanical metamaterials have gained a lot of research interest over the last years due to their unusual mechanical properties and potential use for structural applications. However, the design and analysis of mechanical metamaterials remains challenging and time-consuming. Herein, we present a software framework for automated generation, finite element modeling and analysis of extruded mechanical
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Prediction model for high arch dam stress during the operation period using LightGBM with MSSA and SHAP Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-01 Bo Li, Jing Ning, Shengmei Yang, Lixin Zhang
Dam stress is an important physical quantity to assess high arch dam safety during the operation period. To address the issues of low prediction capability and poor interpretability for high arch dam stress, a prediction model for high arch dam stress during the operation period incorporating the multi-strategy sparrow search algorithm (MSSA), light gradient boosting machine (LightGBM) and Shapley
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Distributed virtual simulation experimental software for high-power electric traction system of 600 km/h high-speed maglev train Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-04-01 Tao Li, Minqi Wang, Yuxin Qin, Xiaoting Wu, Dengke Li, Po Yang, Rongjun Ding, Jun Yang
The operational speed of high-speed maglev trains has reached a groundbreaking 600 km/h, facilitating faster intercity transportation. However, the design and verification of corresponding high-power electric traction systems face significant challenges. To address these issues, this study develops a distributed virtual simulation experimental software for the high-power electric traction system of
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An offline coupling approach for efficient SPH simulations of long-distance tsunami events using wave source boundary condition Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-27 Young Kwang Hwang, Suyeong Jin, Jung-Wuk Hong, Ilyoup Sohn
The entire procedure of tsunami events consists of wave generation and propagation toward the coastal structures encompassing the long-range system domain. Therefore, instead of an integrated continuous simulation, two or several consecutive simulations are preferred for numerical efficiency, where the hydrodynamic information within a particular domain from the preceding simulation can be utilized
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Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-23 Mengtian Fan, Yue Li, Jiale Shen, Kaikai Jin, Junjie Shi
This paper employs Support Vector Regression (SVR), Random Forest Regression (RF), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB) algorithms to establish the compressive strength prediction models for Recycled Aggregate Concrete (RAC) and analyze the influence of ten inputs on RAC compressive strength. Combined with the best prediction model, the Non-dominated Sorting Genetic Algorithm
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B-ITO: A MATLAB toolbox for isogeometric topology optimization with Bézier extraction of NURBS Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-19 Xiao Zhang, Jie Gao, Liang Gao, Mi Xiao
The Bézier extraction can decompose the NURBS-based isogeometric analysis (IGA) elements into a series of Bézier elements with C continuity, which is considered into developing a higher efficient isogeometric topology optimization (ITO) method. The main focus of the current work is to develop a MATLAB toolbox for isogeometric topology optimization (ITO) with the Bézier extraction of NURBS, termed by
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An efficient online successive reanalysis method for dynamic topology optimization Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-18 Shuhao Li, Jichao Yin, Daozhen Guo, Guangyao Li, Hu Wang
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A stacking-based ensemble prediction method for multiobjective aerodynamic optimization of high-speed train nose shape Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-18 Yanfei Li, Zhao He, Hui Liu
A stacking-based ensemble prediction method is proposed in order to improve the efficiency and accuracy of aerodynamic shape optimization. This can be divided into a two-level model. The first-level model uses various base learners to predict the training dataset and obtain various combinations of predictions. In the second-level model, the meta-learner is trained using various combinations of predictions
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Designing piezoelectric stretcher through multiphysics topology for enhanced photodynamic therapy in cancer treatment Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-12 Musaddiq Al Ali, Masatoshi Shimoda
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Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-01 Emad Golafshani, Nima Khodadadi, Tuan Ngo, Antonio Nanni, Ali Behnood
In the quest to reduce the environmental impact of the construction sector, the adoption of sustainable and eco-friendly materials is imperative. Geopolymer recycled aggregate concrete (GRAC) emerges as a promising solution by substituting supplementary cementitious materials, including fly ash and slag cement, for ordinary Portland cement and utilizing recycled aggregates from construction and demolition
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Method of exact solutions code verification of a superelastic constitutive model in a commercial finite element solver Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-28 Kenneth I. Aycock, Nuno Rebelo, Brent A. Craven
The superelastic constitutive model implemented in the commercial finite element code is verified using the method of exact solutions (MES). An analytical solution for uniaxial strain is first developed under monotonic loading. Numerical simulations are then performed, and simulation predictions are compared to the exact analytical solutions. Results reveal the superelasticity model agrees with the
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A local–global optimization approach for maximizing the multiphysics frequency response of laminated functionally graded CNTs reinforced magneto-electro-elastic plates Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-26 Duy-Khuong Ly, T. Nguyen-Thoi, Umut Topal, Chanachai Thongchom
Smart materials have garnered significant attention due to their distinct properties and potential applications in various engineering fields. In line with this, this study presents a local–global optimization approach aimed at maximizing the multiphysics frequency of laminated functionally graded carbon nanotube reinforced magneto-electro-elastic (FG-CNTMEE) plates. The laminated FG-CNTMEE plate is
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UMAT4COMSOL: An Abaqus user material (UMAT) subroutine wrapper for COMSOL Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-24 Sergio Lucarini, Emilio Martínez-Pañeda
We present a wrapper that allows Abaqus user material subroutines (s) to be used as an library in the software COMSOL Multiphysics. The wrapper, written in C language, transforms COMSOL’s external material subroutine inputs and outputs into Fortran-coded Abaqus inputs and outputs, by means of a consistent variable transformation. This significantly facilitates conducting coupled, multi-physics studies
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Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-20 Mohammadjavad Hamidia, Majid Sheikhi, Amir Hossein Asjodi, Kiarash M. Dolatshahi
Concrete surface cracks are one of the primary indicators of structural deterioration; thus, crack analysis is crucial to maintain the intact serviceability of the structural components. This research investigates the relation between earthquake-induced surface damages and stiffness degradation of RC columns. The research database comprises 422 images of 109 reinforced concrete columns tested under
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Advanced elasto-plastic topology optimization of steel beams under elevated temperatures Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-14 Muayad Habashneh, Raffaele Cucuzza, Marco Domaneschi, Majid Movahedi Rad
A topology optimization algorithm of steel beams under the influence of elevated temperature, considering the geometrically nonlinear analysis of imperfect structures, is proposed in this work. The proposed methodology is developed for addressing topology optimization problems in the presence of initial geometric imperfections and thermoelastic-plastic analysis by developing the bi-directional evolutionary
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A gradient-evolutionary coupled topology optimization for sheet reinforcement based on the mechanics of Voronoi pattern on dragonfly wings Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-09 Sen Lin, Nengzhuo Chou, Guangyao Li, Dingwen Bao, Yong Cai, Yi Min Xie, Guoping Wang
The intricate network of veins on dragonfly wings has captured the attention of many researchers due to its fascinating configuration and excellent mechanical properties. In this paper, based on the observation of the layout of the vein domains on the hind wing of dragonfly, the types of domains were characterized from the aspects of area and shape. The numerical analysis revealed that different shaped
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Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-07 Lucas O. Siqueira, Rômulo L. Cortez, Raghavendra Sivapuram, Shahin Ranjbarzadeh, Rafael dos S. Gioria, Emílio C.N. Silva, Renato Picelli
Topology optimization methods face serious challenges when applied to structural design with fluid–structure interaction (FSI) loads, especially for high Reynolds fluid flow, i.e., considering turbulence. In this problem, the information at the fluid–structure interface is crucial for the modeling and convergence of the turbulent fluid flow analysis. This paper devises a new explicit boundary method
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Robust improvement of the finite-element-model updating of historical constructions via a new combinative computational algorithm Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-06 Javier Naranjo-Pérez, Rubén Rodríguez-Romero, Pablo Pachón, Víctor Compán, Andrés Sáez, Aleksandar Pavic, Javier Fernando Jiménez-Alonso
Finite-element-models are usually employed to simulate the behaviour of historical constructions. However, despite the high complexity of these numerical models, there are always discrepancies between the actual behaviour of the structure and the numerical predictions obtained. In order to improve their performance, an updating process can be implemented. According to this process, the value of the
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“Scaling-up” fire spread on wood cribs to predict a large-scale travelling fire test using CFD Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-02 Xu Dai, Naveed Alam, Chang Liu, Ali Nadjai, David Rush, Stephen Welch
Simulation-based approaches for characterising the fire behaviour of travelling fires in large compartments are a potentially valuable complement to experimental studies, providing useful insights on evolving boundary conditions for structural response. They admit the possibility of carrying out systematic parametric studies decoupled from experimental uncertainties, however, sufficiently general models
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Corrigendum to “A rapid method to predict biaxial fatigue life of automotive wheels using proper orthogonal decomposition and radial basis function algorithm” [Advances in Engineering Software, 186, December 2023, 103543] Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-23 Jintao Luo, Yingchun Shan, Xiandong Liu, Yue Zhang, Er Jiang, Decai Kong
Abstract not available
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Optimal topologies considering fatigue with reliability constraint Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-19 Piotr Tauzowski, Bartłomiej Błachowski, János Lógó
This paper addresses a challenging engineering problem that combines stress-limited topology optimization, reliability analysis, and plasticity-based low-cycle fatigue. Each of these issues represents a complex problem on its own, necessitating significant computational effort. In this study, we propose a novel approach that integrates safety assessment into the topology optimization process while
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Strength-based topology optimisation of anisotropic continua in a CAD-compatible framework Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-17 Marco Montemurro, Thibaut Roiné
In this paper, a new method to address strength-based topology optimisation (TO) problems is proposed. Specifically, failure criteria for anisotropic materials are integrated into a TO algorithm making use of Non-Uniform Rational Basis Spline (NURBS) hyper-surfaces to represent the pseudo-density field describing the topology of the continuum, thus providing solutions that can be easily exported to
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Stratified sample tiling Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-17 Jan Mašek, Miroslav Vořechovský
The paper introduces a practical method for the construction of large-scale point sets for analysis of computer models. The constructed experimental design is useful for (probabilistic) integration, construction of approximation or a screening. The essence of the presented approach is the stratification of the design domain into an orthogonal grid of substrata and a subsequent tiling with tiles of
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Topology optimization of Shell–Infill structures with enhanced edge-detection and coating thickness control Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-04 Jose A. Postigo, Alain Garaigordobil, Rubén Ansola, Javier Canales
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Design of the multiphase material structures with mass, stiffness, stress, and dynamic criteria via a modified ordered SIMP topology optimization Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-04 Minh-Ngoc Nguyen, Dongkyu Lee
This paper, a multi-material topology optimization method (MMTO) is presented for two-dimensional structures using modified ordered solid isotropic material with penalization (SIMP) under multiple constraints such as mass, stiffness, frequency, and stress. The element density is obtained by a density filtering and the Heaviside approximation, which are combined to avoid gray elements and numerical
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Stress-based continuous planar path planning for additive manufacturing Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-01 Wenpeng Xu, Hao Xu, Qiuge Li, Peng Zhang, Li Yang, Weiming Wang
This paper presents a novel continuous planar path planning algorithm based on principal stress orientation field to improve structural performance of the products fabricated with additive manufacturing. For a given 3D shape, it is first sliced into planar layers with specified layer thickness, which are discretized into grids for the optimization of tool-paths. Then, the principal stresses and the
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DNN surrogate model based cable force optimization for cantilever erection construction of large span arch bridge with concrete filled steel tube Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-03 Xiaohang Zhou, Lu Cao, Weiwei Xie, Dayan Qin
Determining an ideal set of erection cable forces is crucial for concrete filled steel tube (CFST) arch bridges built using the cable-based cantilever erection method. As the span of these bridges increases, the intricacy and nonlinearity of their cable-based construction systems become more pronounced. For cable force optimization in such systems, the linear methods yield considerable inaccuracy,
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Improved stochastic subset optimization method for structural design optimization Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-12 Mohd Aman Khalid, Sahil Bansal
The Stochastic Subset Optimization (SSO) algorithm was proposed for optimal reliability problems that minimizes the probability of system failure over the admissible space for the design parameters. It is based on the simulation of samples of the design parameters from an auxiliary Probability Density Function (PDF) and exploiting the information contained in these samples to identify subregions for
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Prediction of residual stress distribution induced by ultrasonic nanocrystalline surface modification using machine learning Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-09 Chao Li, Auezhan Amanov, Yifei Li, Can Wang, Dagang Wang, Magd Abdel Wahab
Ultrasonic Nanocrystalline Surface Modification (UNSM) offers an efficient and cost-effective approach for enhancing material mechanical properties by inducing Severe Plastic Deformation (SPD). It leads to grain refinement and substantial residual stress generation beneath the workpiece surface. This study investigates the influence of key modification parameters, specifically static load, vibration
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Digital twin modeling method of the temperature field of thermo-compression bonding blade based on generative adversarial networks Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-06 Zuoen Deng, Haisong Huang, Jingwei Yang, Jiadui Chen, Xin Gao, Kai Yang
In this paper, a novel method of using deep learning to construct a digital twin of the thermos-compression bonding blade`s temperature field is presented. Usually, a heat transfer model based on numerical analysis can calculate the heat distribution in the welding process, but its complex modeling process and heavy computational effort are not appropriate for the deployment of the digital twin concept
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SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-07 Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R.R.A. Martins
The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. This paper presents SMT 2.0, a major new release of SMT that introduces significant upgrades and new features to the toolbox. This release adds the capability to handle mixed-variable surrogate models and hierarchical variables
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Multi-scale topology optimization of structures with multi-material microstructures using stiffness and mass design criteria Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-03 Fábio M. Conde, Pedro G. Coelho, José M. Guedes
Nowadays, there is a great interest on the part of the automotive and aerospace industry to design environmentally-friendly structures. To that purpose, stiffness-oriented designs are proposed here by extending previous work on multi-scale topology optimization to the multi-material setting reformulating the problem to include appropriately mass constraints and discussing different design domain parametrizations
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Topology optimization for energy absorption of quasi-brittle structures undergoing dynamic fractures Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-30 Yi Wu, Pengfei Li, Qiqi Li, Bo Liu
In this paper, we introduce a topology optimization approach aimed at improving the energy absorption of quasi-brittle structures under impact loading. Our method focuses on incorporating dynamic fracture behavior throughout the impact process to maximize the energy acting on the structure. To achieve this, we integrate a dynamic phase field method into density-based topology optimization, enabling
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Numerical development of a thermo-mechanical prediction model at high temperature: case of rubber concretes Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-14 Hamza Karim Serroukh, Mounir El Marzak, Mouhcine Benaicha, Wenlong Li, Jianguo Zhu, Adil Hafidi Alaoui, Yves Burtschell
The constitutive models have an important role in understanding the thermo-mechanical behavior of concrete and predicting its durability under fire loading. In this paper, the authors have developed a new constitutive temperature-dependent model for rubber concrete based on several models, such as European and American models, to predict the mechanical behavior of rubber concrete subjected to fire
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Modelling heat-mass transport for MHD Eyring-Powell hybrid nanofluid over an expanding surface laden by autocatalytic chemical reaction and nanoparticles diffusion Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-11 Sohail Rehman, , Sultan Alqahtani, Sultan Alshehery, Mohamed Boujelbene
Prior hybrid nanofluid research is restricted to single or two-phase models, which were dominated by homogeneous nanofluid models. These models adhere a serious flaw with the heat-mass transfer indices. To handle this problem, we develop an entirely novel hybrid nanofluid models based on the fundamental slip mechanisms of nanofluids induced by Brownian and thermophoretic diffusion as well as the chemical
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An adaptive B-spline representation of topology optimization design for Additive Manufacturing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-06 Imran Khan, Baseer Ullah, , Zahur Ullah, Wajid Khan
Topology optimization is a renowned structural optimization approach used to compute the optimal topology for the enhancement of structural performance. It has been in common practice in different engineering fields such as automobile and aerospace. However, there still exist gaps between topology optimization and its engineering operations, which considerably impedes topology optimization’s applications
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Consistent C-bar radial-basis Galerkin method for finite strain analysis Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-03 P. Areias, M.C.P. Vila Pouca, M.P.L. Parente, R.M. Natal Jorge
For finite-strain problems of quasi-incompressible materials, with hyperelastic and hyperelasto-plastic behavior, we develop a mixed polynomial-enriched radial-basis function (RBF) interpolation. It is characterized by decoupling quadrature and polynomials for the deviatoric and volumetric terms of the right Cauchy–Green tensor. With an enriched interpolation, first and second derivatives of the deformation
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Performances analysis of parallel asynchronous and synchronous algorithms on cloud architecture for PDE Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-03 M.A. Rahhali, T. Garcia, P. Spiteri
In order to solve discretized stationary linear or non linear diffusion and convection–diffusion problems, the present paper deals with a comparison between the performances of parallel iterative synchronous or asynchronous algorithms implemented on a Cloud computing architecture with several sizes of the algebraic systems to be solved. The parallel algorithms are briefly and intuitively presented
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Robust topology optimization considering part distortion and process variability in additive manufacturing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-04 Ludian Komini, Matthijs Langelaar, Benedikt Kriegesmann
This paper presents a method to consider uncertainties in the distortion prediction of additive manufacturing processes within robust topology optimization. The random variable of the stochastic additive manufacturing process is the inherent thermomechanical strain, typically determined by process characterization experiments. The value of the inherent strain per se encompasses uncertainty due to differences
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A black-box optimization strategy for customizable global elastic deformation behavior of unit cell-based tri-anti-chiral metamaterials Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-31 Andreas Thalhamer, Mathias Fleisch, Clara Schuecker, Peter Filipp Fuchs, Sandra Schlögl, Michael Berer
Metamaterials are a class of materials with a distinctive unit cell-based periodic architecture, often resulting in unique mechanical properties. The potential of metamaterials can be further improved by using gradients of unit cell parameters and thereby creating a specific distribution of material properties in a part. This design freedom comes with the challenge of finding new suitable design and
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Scatter search for capacitated minimum spanning tree Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-31 Cesar Rego, Frank Mathew
We develop a scatter search algorithm for the classical capacitated minimum spanning tree (CMST) problem. We address both the homogeneous and the more difficult heterogeneous variant of the problem. The CMST is central in a wide range of network design applications in industrial engineering, routing and logistics, and communication networks. Since the problem is NP-Complete, heuristic solution methods
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Implementation of the adaptive phase-field method with variable-node elements for cohesive fracture Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-28 Tiancheng Zhang, Tiantang Yu, Chen Xing, Tinh Quoc Bui
In this paper, an adaptive phase-field model based on variable-node elements and error-indicator is presented to predict cohesive fracture evolution. The phase-field cohesive-zone model is characterized by the parameterized energetic degradation and crack geometric functions. A staggered iteration scheme is used to solve the coupled non-linear system of displacement field and phase field. The adaptive
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Multi-material isogeometric topology optimization in multiple NURBS patches Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-04 Mian Zhou, Mi Xiao, Mingzhe Huang, Liang Gao
In design optimization of structures, design domains are often described by multiple non-uniform rational B-spline (NURBS) patches. To perform multi-material topological design in such design domains, an effective Nitsche-based multi-material isogeometric topology optimization (ITO) method is proposed in this paper. Specifically, the Nitsche's method is utilized to effectively couple the interfaces
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DFNMesh: Finite element meshing for discrete fracture matrix models Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-29 Pedro Lima, Nathan Shauer, José B. Villegas, Philippe R.B. Devloo
This paper presents a novel methodology for robust Finite Element (FE) mesh generation of Discrete Fracture Matrix (DFM) models. The method can handle the complete multi-dimensional domain from the tridimensional porous rock matrix, through fracture surfaces, down to open curves for fracture–fracture intersections. The accompanying open-source code is written in modern C++ with a JSON interface and
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Tailored Iterated Greedy metaheuristic for a scheduling problem in metal 3D printing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-24 Kuo-Ching Ying, Pourya Pourhejazy, Ya-Hsuan Huang
This article contributes to the additive manufacturing-based production planning literature by developing a Mixed-Integer Linear Programming (MILP) formulation for the Identical Parallel 3D-Printing Machines Scheduling Problem considering batching, multiple build platforms of restricted sizes, and sequence-independent setup times. Besides, a customized metaheuristic, named the Tailored Iterated Greedy
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A rapid method to predict biaxial fatigue life of automotive wheels using proper orthogonal decomposition and radial basis function algorithm Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-20 Jintao Luo, Yingchun Shan, Xiandong Liu, Yue Zhang, Er Jiang, Decai Kong
This paper presents a rapid method for predicting the biaxial fatigue life of automotive wheels using a combination of proper orthogonal decomposition and radial basis function algorithm. Currently, numerical simulations of biaxial fatigue tests are being developed to evaluate wheel performance. However, these simulations are computationally expensive due to the need to simulate multiple discrete loading