Article
Computer Science, Interdisciplinary Applications
Nileshchandra K. Pikle, Shailesh R. Sathe, Arvind Y. Vyavahare
Summary: Assembly free FEM improves performance by optimizing Matrix-vector Products (MvP) strategy for coalesced global memory access on GPU using shared memory and texture cache. Despite the issue of low occupancy, the proposed strategy outperforms both element based and DoF based strategies on GPU.
ENGINEERING WITH COMPUTERS
(2022)
Article
Materials Science, Multidisciplinary
Wenchen Gu, Jimmy Campbell, Yuanbo Tang, Hamed Safaie, Richard Johnston, Yuchen Gu, Cameron Pleydell-Pearce, Max Burley, James Dean, Trevor William Clyne
Summary: This investigation focuses on the use of the profilometry-based indentation plastometry (PIP) methodology to study the stress-strain relationships of materials near fusion welds. The results show that the weldments exhibit isotropy, while the parent metal has slight anisotropy. The PIP method is highly sensitive in detecting such anisotropy and shows good agreement with conventional uniaxial testing. Additionally, the PIP methodology allows for exploring properties in the transition zone between weld and parent metal, revealing variations that are difficult to examine using traditional testing methods.
ADVANCED ENGINEERING MATERIALS
(2022)
Article
Neurosciences
Benjamin F. Zwick, George C. Bourantas, Saima Safdar, Grand R. Joldes, Damon E. Hyde, Simon K. Warfield, Adam Wittek, Karol Miller
Summary: Invasive intracranial electroencephalography (iEEG) or electrocorticography (ECoG) can be used for epilepsy surgery planning, but accurate solution of the forward problem requires accurate representation of patient's brain geometry and tissue conductivity after electrode implantation. A biomechanics-based image warping procedure using preoperative MRI and postoperative CT allows non-rigid registration of preoperative image data to postoperative configuration, enabling accurate solution of the iEEG forward problem on deformed brain geometry.
Article
Mathematics, Applied
Navid Shekarchizadeh, Bilen Emek Abali, Emilio Barchiesi, Alberto Maria Bersani
Summary: A novel parameter determination technique is developed for material models in continuum mechanics aimed at describing metamaterials. An automatized optimization process is developed specifically for obtaining metamaterials parameters, which aims at minimizing a mechanically meaningful error function. The parameter identification procedure is tested for an exemplary extension experiment of a metamaterial, proving to be robust and reliable.
ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK
(2021)
Article
Engineering, Electrical & Electronic
Arsalan Habib Khawaja, Wajiha Ateeq, Dongsheng Cai, Waqas Amin, Qi Huang
Summary: Power distribution networks in developing economies often face overloading issues, causing distribution transformers to operate beyond their rated capacity. This study aims to develop a contactless overload detection mechanism by utilizing magnetic flux leakage (MFL) measurement outside the transformer's steel tank. The research validated the method using finite element analysis (FEA) and experimental tests, demonstrating a linear relationship between MFL and the transformer's loading states.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Multidisciplinary Sciences
Osamah Al-Dori, Betul Sakar, Atilla Donuk
Summary: This study provides robust guidelines for researchers and designers to precisely estimate losses and leakage reactance in distribution transformers. Analytical and numerical methods are used to estimate transformer lifespan and improve grid quality during the design stage.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Mathematics, Applied
Thomas Bohlen, Mario Ruben Fernandez, Johannes Ernesti, Christian Rheinbay, Andreas Rieder, Christian Wieners
Summary: This paper presents a new framework for full waveform inversion in the visco-acoustic regime, using a novel combination of the Discontinuous Galerkin method and the inverse solver. Successful reconstructions in a simplified cross-well setting demonstrate the applicability of this new approach, which has not been previously applied in the context of FWI.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Joel Hampton, Henok Tesfalem, Oliver Dorn, Adam Fletcher, Anthony Peyton, Matthew Brown
Summary: In this study, a novel constrained optimization algorithm was employed to calibrate the finite element model in an eddy current inspection application. The results demonstrate that this algorithm can effectively optimize the model parameters, and the filament model is competitive with the 3D model.
IEEE SENSORS JOURNAL
(2022)
Article
Geochemistry & Geophysics
Jiawen Li, Zhen Guan, Jianwen Wang, Li-Ye Xiao, Qing Huo Liu
Summary: An efficient 2-D electromagnetic full-wave inversion method based on the hybrid spectral-element spectral-integral forward solver is proposed. The method combines the spectral element method, integral equation method, and conjugate gradient method to achieve the inversion of relative permittivity and conductivity values.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Mathematics
Jose Julio Conde Mones, Carlos Arturo Hernandez Gracidas, Maria Monserrat Morin Castillo, Jose Jacobo Oliveros Oliveros, Lorenzo Hector Juarez Valencia
Summary: This work presents a numerical algorithm to solve the inverse problem of volumetric sources in a non-homogeneous conductive medium. The algorithm allows to recover the complete source and produce stable and accurate numerical solutions.
Article
Engineering, Multidisciplinary
Panos Pantidis, Mostafa E. Mobasher
Summary: We propose a new Integrated Finite Element Neural Network framework (I-FENN) to accelerate the numerical solution of nonlinear computational mechanics problems. By embedding neural networks (NNs) inside the finite element stiffness function, we compute element-level state variables and their derivatives within a nonlinear iterative solution. The I-FENN method addresses the drawbacks of both the local and non-local gradient methods, achieving mesh-independent results and a diffused non-local strain and damage profile at the cost of the conventional local damage approach. We demonstrate the computational efficiency and generalization capability of I-FENN in non-local continuum damage analysis through numerical examples.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Mathematics, Applied
Zhengfang Zhang, Xiangjing Gao, Xiaoliang Cheng
Summary: This paper investigates the inverse eigenvalue problem for a weighted Helmholtz equation. The density function is estimated based on finite spectral data, and the inverse problem is formulated as a least squared functional with a L(2) regularity term. The continuity of the eigenpairs with respect to the density is proven. Mathematical properties of both continuous and discrete optimization problems are established. A conjugate gradient algorithm is proposed, and numerical results for 1D and 2D inverse eigenvalue problems of the weighted Helmholtz equation are presented to demonstrate the effectiveness and efficiency of the algorithm.
JOURNAL OF SCIENTIFIC COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Zhenning Wu, Yiming Deng, Jinhai Liu, Lixing Wang
Summary: Magnetic flux leakage (MFL) inspection is commonly used for detecting anomalies in ferromagnetic materials, with sizing of defects being a key issue for evaluating material health. The inverse problem of MFL inspection is challenging and accuracy is difficult to achieve, requiring iterative approaches to solve it effectively.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Materials Science, Multidisciplinary
Shuai Hao, Pengpeng Shi, Sanqing Su, Tianshou Liang
Summary: Magnetic shielding technology is expected to enhance the quality of MFL signals, but existing inconsistencies between experiments and simulations limit its application. A finite element simulation method has been developed to quantitatively analyze the MS effect and study the influencing factors, providing key insights for the design of MS equipment in MFL testing sensors.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2022)
Article
Neurosciences
Tim Erdbruegger, Andreas Westhoff, Malte Hoeltershinken, Jan-Ole Radecke, Yvonne Buschermoehle, Alena Buyx, Fabrice Wallois, Sampsa Pursiainen, Joachim Gross, Rebekka Lencer, Christian Engwer, Carsten Wolters
Summary: This study introduces a new method, CutFEM, for solving the forward problem in electroencephalography (EEG) data analysis. CutFEM outperforms other finite element methods in terms of numerical accuracy, memory consumption, and computational speed, while also being able to handle complex geometries.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)