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A novel normalized reduced-order physics-informed neural network for solving inverse problems Eng. Comput. (IF 8.7) Pub Date : 2024-04-20 Khang A. Luong, Thang Le-Duc, Seunghye Lee, Jaehong Lee
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Element-free Galerkin analysis of MHD duct flow problems at arbitrary and high Hartmann numbers Eng. Comput. (IF 8.7) Pub Date : 2024-04-15 Xiaolin Li, Shuling Li
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Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis Eng. Comput. (IF 8.7) Pub Date : 2024-04-12 Saurabh Balkrishna Tandale, Marcus Stoffel
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Cut-PFEM: a Particle Finite Element Method using unfitted boundary meshes Eng. Comput. (IF 8.7) Pub Date : 2024-04-12 Rubén Zorrilla, Alessandro Franci
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NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs Eng. Comput. (IF 8.7) Pub Date : 2024-04-10 Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
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Image-based biomarkers for engineering neuroblastoma patient-specific computational models Eng. Comput. (IF 8.7) Pub Date : 2024-04-10 Silvia Hervas-Raluy, Diego Sainz-DeMena, Maria Jose Gomez-Benito, Jose Manuel García-Aznar
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Element differential method for contact problems with non-conforming contact discretization Eng. Comput. (IF 8.7) Pub Date : 2024-04-09 Wei-Long Fan, Xiao-Wei Gao, Yong-Tong Zheng, Bing-Bing Xu, Hai-Feng Peng
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Novel approaches for hyper-parameter tuning of physics-informed Gaussian processes: application to parametric PDEs Eng. Comput. (IF 8.7) Pub Date : 2024-04-08 Masoud Ezati, Mohsen Esmaeilbeigi, Ahmad Kamandi
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A physics-informed deep learning approach for solving strongly degenerate parabolic problems Eng. Comput. (IF 8.7) Pub Date : 2024-04-08 Pasquale Ambrosio, Salvatore Cuomo, Mariapia De Rosa
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Towards a comprehensive damage identification of structures through populations of competing models Eng. Comput. (IF 8.7) Pub Date : 2024-04-06 Israel Alejandro Hernández-González, Enrique García-Macías
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A rapidly trained DNN model for real-time flexible multibody dynamics simulations with a fixed-time increment Eng. Comput. (IF 8.7) Pub Date : 2024-04-04 Myeong-Seok Go, Young-Bae Kim, Jeong-Hoon Park, Jae Hyuk Lim, Jin-Gyun Kim
This study presents an efficient fixed-time increment-based approach for a data-driven analysis of flexible multibody dynamics (FMBD) problems, combining deep neural network (DNN) modeling and principal component analysis (PCA). To construct a DNN-based surrogate model, we eliminated the time instant in the input features while applying PCA to reduce the dimensionality of the output results, which
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Unraveling the complexities of a highly heterogeneous aquifer under convergent radial flow conditions Eng. Comput. (IF 8.7) Pub Date : 2024-04-03 Guglielmo Federico Antonio Brunetti, Mario Maiolo, Carmine Fallico, Gerardo Severino
Untangling flow and mass transport in aquifers is essential for effective water management and protection. However, understanding the mechanisms underlying such phenomena is challenging, particularly in highly heterogeneous natural aquifers. Past research has been limited by the lack of dense data series and experimental models that provide precise knowledge of such aquifer characteristics. To bridge
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Multiscale modelling of particulate composites with spherical inclusions Eng. Comput. (IF 8.7) Pub Date : 2024-04-02 Abdalla Elbana, Amar Khennane, Paul J. Hazell
This paper presents a novel and effective strategy for modelling three-dimensional periodic representative volume elements (RVE) of particulate composites. The proposed method aims to generate an RVE that can represent the microstructure of particulate composites with hollow spherical inclusions for homogenization (e.g., deriving the full-field effective elastic properties). The RVE features periodic
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Goal-adaptive Meshing of Isogeometric Kirchhoff–Love Shells Eng. Comput. (IF 8.7) Pub Date : 2024-03-31 H. M. Verhelst, A. Mantzaflaris, M. Möller, J. H. Den Besten
Mesh adaptivity is a technique to provide detail in numerical solutions without the need to refine the mesh over the whole domain. Mesh adaptivity in isogeometric analysis can be driven by Truncated Hierarchical B-splines (THB-splines) which add degrees of freedom locally based on finer B-spline bases. Labeling of elements for refinement is typically done using residual-based error estimators. In this
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Performance evaluation of deep learning approaches for predicting mechanical fields in composites Eng. Comput. (IF 8.7) Pub Date : 2024-03-31 Marwa Yacouti, Maryam Shakiba
This paper presents a rigorous and critical methodology for evaluating the performance of deep learning (DL) techniques in predicting mechanical responses within the microstructural representation of composites. In the past few years, deep learning has emerged as a powerful tool and an efficient surrogate for finite element analysis in computational mechanics. This research addresses questions regarding
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Isogeometric analysis for solving discontinuous two-phase engineering problems with precise and explicit interface representation Eng. Comput. (IF 8.7) Pub Date : 2024-03-30 Emad Shakur
This paper presents a new computational method for solving two-phase engineering problems. The novelty of this approach lies in its ability to perform the analysis over the exact two-phase geometry. The geometry is defined by a spline-based representation and constructed based on the level-set method. The level-set-based geometry is mapped into a spline-based geometry using an untrimming technique
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The OxCM contour method solver for residual stress evaluation Eng. Comput. (IF 8.7) Pub Date : 2024-03-29 Fatih Uzun, Alexander M. Korsunsky
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A parallel acceleration GPU algorithm for large deformation of thin shell structures based on peridynamics Eng. Comput. (IF 8.7) Pub Date : 2024-03-27 Zheng Guojun, Li Runjin, Shen Guozhe, Zhang Xiangkui
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An interior penalty coupling strategy for isogeometric non-conformal Kirchhoff–Love shell patches Eng. Comput. (IF 8.7) Pub Date : 2024-03-27 Giuliano Guarino, Pablo Antolin, Alberto Milazzo, Annalisa Buffa
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A stable and efficient infinite meshfree approach for solving half-space eat conduction problems Eng. Comput. (IF 8.7) Pub Date : 2024-03-23 Kuan-Chung Lin, Ting-Wei Chen, Huai-Liang Hsieh
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Physics informed neural networks for an inverse problem in peridynamic models Eng. Comput. (IF 8.7) Pub Date : 2024-03-21 Fabio V. Difonzo, Luciano Lopez, Sabrina F. Pellegrino
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A moment–curvature-based constitutive model for interactive simulation of visco-plastic rods Eng. Comput. (IF 8.7) Pub Date : 2024-03-17 Karthikeyan Panneerselvam, Suvranu De
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Machine learning mesh-adaptation for laminar and turbulent flows: applications to high-order discontinuous Galerkin solvers Eng. Comput. (IF 8.7) Pub Date : 2024-03-15 Kenza Tlales, Kheir-Eddine Otmani, Gerasimos Ntoukas, Gonzalo Rubio, Esteban Ferrer
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Higher order phase-field modeling of brittle fracture via isogeometric analysis Eng. Comput. (IF 8.7) Pub Date : 2024-03-14 Luigi Greco, Alessia Patton, Matteo Negri, Alessandro Marengo, Umberto Perego, Alessandro Reali
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An improved adaptive Kriging model-based metamodel importance sampling reliability analysis method Eng. Comput. (IF 8.7) Pub Date : 2024-03-12 Da-Wei Jia, Zi-Yan Wu
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Stress-based bi-directional evolutionary topology optimization for structures with multiple materials Eng. Comput. (IF 8.7) Pub Date : 2024-03-08
Abstract Both multi-material and stress-based topology optimization problems have been extensively investigated. However, there are few studies on the stress-based topology optimization of multi-material structures. Hence, this work proposes a novel topology optimization method for minimizing the maximum von Mises stress of structures with multiple materials under volume constraints. An extended Bi-directional
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Immersed boundary-conformal isogeometric LaTIn method for multiple non-linear interfaces Eng. Comput. (IF 8.7) Pub Date : 2024-03-07
Abstract Computational micromechanics appears of the utmost importance, especially in the current context of digital twins in mechanics of materials. The objective here is to develop an efficient solver for the simulation of geometrically complex composite microstructures involving numerous inclusions connected with the matrix through various non-linear interface behaviors. To do so, we resort to IsoGeometric
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Modified strain gradient analysis of the functionally graded triply periodic minimal surface microplate using isogeometric approach Eng. Comput. (IF 8.7) Pub Date : 2024-03-06
Abstract This article aims to study the free vibration, buckling and bending behaviours of the functionally graded triply periodic minimal surface (FG-TPMS) microplates using isogeometric approach. The study encompasses a comprehensive analysis of three TPMS plate models, namely the Primitive, Gyroid, and I wrapped package-graph, with two distinct density distribution patterns across the plate thickness
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A novel identification method for the non-equilibrium heat transfer problem in porous material Eng. Comput. (IF 8.7) Pub Date : 2024-03-03
Abstract In this study, a novel method is proposed to effectively identify the thermal properties of porous composite materials, which are challenging to determine directly through experiments due to non-equilibrium heat transfer between the porous matrix and fluids. To solve the non-equilibrium heat transfer in saturated porous media and calculate temperature sensitivities to unknown properties, a
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Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation Eng. Comput. (IF 8.7) Pub Date : 2024-03-01 Han Zhao, David Kamensky, John T. Hwang, Jiun-Shyan Chen
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A smooth single-variable-based interpolation function for multi-material topology optimization Eng. Comput. (IF 8.7) Pub Date : 2024-02-27
Abstract This article presents a novel single-variable-based material interpolation scheme for multi-material density-based topology optimization. In the proposed scheme, no additional variables are needed to deal with the multiple materials, i.e., the number of design variables is independent of the number of material candidates, thus it makes the multi-material topology optimization computationally
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Elastoplastic peridynamic formulation for materials with isotropic and kinematic hardening Eng. Comput. (IF 8.7) Pub Date : 2024-02-25 Atefeh Pirzadeh, Federico Dalla Barba, Florin Bobaru, Lorenzo Sanavia, Mirco Zaccariotto, Ugo Galvanetto
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WaveNets: physics-informed neural networks for full-field recovery of rotational flow beneath large-amplitude periodic water waves Eng. Comput. (IF 8.7) Pub Date : 2024-02-23 Lin Chen, Ben Li, Chenyi Luo, Xiaoming Lei
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Reinforcement learning for block decomposition of planar CAD models Eng. Comput. (IF 8.7) Pub Date : 2024-02-14
Abstract The problem of hexahedral mesh generation of general CAD models has vexed researchers for over 3 decades and analysts often spend more than 50% of the design-analysis cycle time decomposing complex models into simpler blocks meshable by existing techniques. The decomposed blocks are required for generating good quality meshes (tilings of quadrilaterals or hexahedra) suitable for numerical
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A new open-source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers Eng. Comput. (IF 8.7) Pub Date : 2024-02-08 Jacob S. Merson, Catalin R. Picu, Mark S. Shephard
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Coupling of bond-based peridynamics and continuous density-based topology optimization methods for effective design of three-dimensional structures with discontinuities Eng. Comput. (IF 8.7) Pub Date : 2024-02-07 A. Kendibilir, M. H. Bilgin, A. Kefal
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3D isogeometric indirect BEM solution based on virtual surface sources on the boundaries of Helmholtz acoustic problems Eng. Comput. (IF 8.7) Pub Date : 2024-02-06
Abstract A solution for 3D Helmholtz acoustic problems is introduced based on an indirect boundary element method (indirect BEM) coupled with isogeometric analysis (IGA). The novelty of this work arises from using virtual surface sources placed directly on the scatterer boundaries, producing robust results. These virtual surface sources are discretized by the same Non-Uniform Rational B-Splines (NURBS)
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Comprehensive multi-material topology optimization for stress-driven design with refined volume constraint subjected to harmonic force excitation Eng. Comput. (IF 8.7) Pub Date : 2024-02-05 Thanh T. Banh, Soomi Shin, Joowon Kang, Ji Zhang, Dongkyu Lee
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A novel multi-fidelity surrogate modeling method for non-hierarchical data fusion Eng. Comput. (IF 8.7) Pub Date : 2024-02-04 Shan Xie, Hanyan Huang, Xiaoyu Xu, Yanhui Duan, Hongbo Chen
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Global optimization of optimal Delaunay triangulation with modified whale optimization algorithm Eng. Comput. (IF 8.7) Pub Date : 2024-01-29 Yongjia Weng, Juan Cao, Zhonggui Chen
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Topology optimization of acoustic bandgap crystals for topological insulators Eng. Comput. (IF 8.7) Pub Date : 2024-01-27 Weibai Li, Jie Hu, Guoxing Lu, Xiaodong Huang
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A GPU-accelerated simulator for the DEM analysis of granular systems composed of clump-shaped elements Eng. Comput. (IF 8.7) Pub Date : 2024-01-18 Ruochun Zhang, Colin Vanden Heuvel, Alexander Schepelmann, Arno Rogg, Dimitrios Apostolopoulos, Samuel Chandler, Radu Serban, Dan Negrut
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Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application Eng. Comput. (IF 8.7) Pub Date : 2024-01-10
Abstract The use of adhesive joints in various industrial applications has become increasingly popular due to their beneficial characteristics, including their high strength-to-weight ratio, design flexibility, limited stress concentrations, planar force transfer, good damage tolerance, and fatigue resistance. However, finding the best process parameters for adhesive bonding can be challenging. This
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Medial hex-meshing: high-quality all-hexahedral mesh generation based on medial mesh Eng. Comput. (IF 8.7) Pub Date : 2024-01-10
Abstract Automatic high-quality all-hexahedral mesh generation is still a challenging problem in engineering applications. In this paper, based on the manifold curve/surface-mixed medial axis representation, we propose a new high-quality all-hex mesh generation method. Given an input watertight model, we first compute the corresponding medial mesh via the medial axis transform simplification method
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Coupled hydro-mechanical two-phase flow model in fractured porous medium with the combined finite-discrete element method Eng. Comput. (IF 8.7) Pub Date : 2024-01-10 Lei Sun, Xuhai Tang, Kareem Ramzy Aboayanah, Xiangyu Xu, Quansheng Liu, Giovanni Grasselli
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Numerical simulation of spatio-temporal spread of an infectious disease utilizing a collocation method based on local radial basis functions Eng. Comput. (IF 8.7) Pub Date : 2024-01-09 Fatemeh Asadi-Mehregan, Pouria Assari, Mehdi Dehghan
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Thermoelastic geometrically nonlinear analysis and optimization of variable stiffness composite plates in presence of buckling Eng. Comput. (IF 8.7) Pub Date : 2024-01-09
Abstract The thermal environment enhances the complexity of buckling failure of variable stiffness composite plates. Influences of the high temperature and large deflection should be well considered in both the buckling analysis and optimization design. However, the thermoelastic geometrically nonlinear analysis is computationally expensive, particularly inapplicable for the optimum of curvilinear
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Coupled neutronic–thermal–mechanical analysis of a nuclear fuel pellet using peridynamics Eng. Comput. (IF 8.7) Pub Date : 2024-01-09 D. H. Hao, Qi-Qing Liu, Y. L. Hu, E. Madenci, Hui Guo, Yin Yu
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A metamodel of the wire arc additive manufacturing process based on basis spline entities Eng. Comput. (IF 8.7) Pub Date : 2024-01-09
Abstract Wire arc additive manufacturing (WAAM) process is a metal additive manufacturing (AM) technology that is becoming increasingly important in Industry 4.0 as it allows for high deposition rates and the manufacture of large components. This translates in a reduction of production time, costs, and waste, while increasing material efficiency, compared to other AM technologies. Nevertheless, the
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Acoustic data-driven framework for structural defect reconstruction: a manifold learning perspective Eng. Comput. (IF 8.7) Pub Date : 2024-01-06 Qi Li, Fushun Liu, Peng Li, Bin Wang, Zhenghua Qian, Dianzi Liu
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Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder Eng. Comput. (IF 8.7) Pub Date : 2024-01-05 SiHun Lee, Sangmin Lee, Kijoo Jang, Haeseong Cho, SangJoon Shin
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THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines Eng. Comput. (IF 8.7) Pub Date : 2023-12-28 Ajith Moola, Aditya Balu, Adarsh Krishnamurthy, Aishwarya Pawar
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Dynamic analysis of piezolaminated shell structures reinforced with agglomerated carbon nanotubes using an enhanced solid-shell element Eng. Comput. (IF 8.7) Pub Date : 2023-12-26 H. Mellouli, H. Mallek, R. Louhichi, M. Wali, F. Dammak, S. Alharbi
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Stabilized isogeometric collocation methods for hyperbolic conservation laws Eng. Comput. (IF 8.7) Pub Date : 2023-12-09 Ryan M. Aronson, John A. Evans
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Global–local multidisciplinary optimisation for the evaluation of local constraints on finer meshes in preliminary aircraft design Eng. Comput. (IF 8.7) Pub Date : 2023-12-08 Massimo Sferza, Jelena Ninic, Florian Glock, Christoph Hofer, Fernass Daoud, Dimitrios Chronopoulos, Kristoffer van der Zee
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Response of an Euler–Bernoulli beam subject to a stochastic disturbance Eng. Comput. (IF 8.7) Pub Date : 2023-11-24 Lukman Olawale, Tao Gao, Erwin George, Choi-Hong Lai
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Inherently interpretable machine learning solutions to differential equations Eng. Comput. (IF 8.7) Pub Date : 2023-11-18 Hongsup Oh, Roman Amici, Geoffrey Bomarito, Shandian Zhe, Robert M. Kirby, Jacob Hochhalter
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Investigation of phase-field models of tumor growth based on a reduced-order meshless Galerkin method Eng. Comput. (IF 8.7) Pub Date : 2023-11-13 Mostafa Abbaszadeh, Mehdi Dehghan, Dunhui Xiao
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A novel key performance analysis method for permanent magnet coupler using physics-informed neural networks Eng. Comput. (IF 8.7) Pub Date : 2023-11-06 Huayan Pu, Bo Tan, Jin Yi, Shujin Yuan, Jinglei Zhao, Ruqing Bai, Jun Luo
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A novel robust approach of 3D CNN and SAE-based near-field acoustical holography relying on self-identity constraint data for Kalman gain Eng. Comput. (IF 8.7) Pub Date : 2023-11-06 Jiaxuan Wang, Yizhe Huang, Zhuang Li, Zhifu Zhang, Qibai Huang