Article
Engineering, Multidisciplinary
Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois
Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Ye Lu, Weidong Zhu
Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska
Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu
Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas
Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zeshang Li, Lei Wang, Xinyu Geng, Weimin Chen, Bing Han
Summary: This paper proposes a robust topology optimization design strategy for mechanical metamaterials. By considering multiple properties and size uncertainty, utilizing a double-layer mesh technology to improve the efficiency of optimization, and designing and validating mechanical metamaterials with different properties and configurations, this research provides technical support and design references for the engineering application of mechanical metamaterials.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingye Tan, Danial Faghihi
Summary: This paper presents a scalable computational framework for optimal design in the presence of high-dimensional uncertainty, specifically for thermal insulation components. The framework incorporates risk aversion and regularization techniques to promote sparsity in the design parameters. By utilizing a second-order Taylor approximation and exploiting the low-rank structure of the preconditioned Hessian, the computational costs remain independent of the number of uncertain parameters.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mofdi El-Amrani, Anouar Obbadi, Mohammed Seaid, Driss Yakoubi
Summary: This article presents a numerical solution method for incompressible non-Newtonian fluids with a non-linear viscosity. The method splits the viscosity into two time steps and solves the convection term and incompressibility constraint separately. Rigorous error analysis and numerical examples demonstrate the reliability of this viscosity-splitting scheme.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Review
Automation & Control Systems
Vivek Warke, Satish Kumar, Arunkumar Bongale, Pooja Kamat, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham
Summary: This study conducts a systematic literature review on the use of active vibration control (AVC) techniques for improving the useful life of cutting tools. The review highlights the significance of AVC in mitigating the detrimental effects of vibrations on tool performance, focusing particularly on the use of MR fluid in AVC and its characteristics, modeling, and control techniques. The study also briefly discusses data-driven methods for estimating the remaining useful life (RUL) of cutting tools. The findings of this review provide a comprehensive overview of current research in the field and offer valuable insights for researchers, engineers, and practitioners engaged in tool design, maintenance, and optimization, ultimately contributing to the advancement of AVC techniques and promoting sustainable practices in various industrial sectors.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Engineering, Multidisciplinary
Yong-Tong Zheng, Yijun Liu, Xiao-Wei Gao, Yang Yang, Hai-Feng Peng
Summary: Structures with holes are common in engineering applications. Analyzing stress concentration effects caused by holes using FEM or BEM is challenging and time-consuming. This paper proposes improved methods for simulating holes and cylinders, reducing the number of nodes while maintaining stress accuracy. Numerical examples demonstrate the accuracy and efficiency of the proposed methods.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2024)
Article
Automation & Control Systems
Zahra Ramezanpoor, Adel Ghazikhani, Ghasem Sadeghi Bajestani
Summary: Time series analysis is a method used to analyze phenomena with temporal measurements. Visibility graphs are a technique for representing and analyzing time series, particularly when dealing with rotations in the polar plane. This research proposes a visibility graph algorithm that efficiently handles biological time series with rotation in the polar plane. Experimental results demonstrate the effectiveness of the proposed algorithm in both synthetic and real world time series.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Automation & Control Systems
Wenkai Xu, Chang Liu, Guangxu Wang, Yue Zhao, Jiaxuan Yu, Akhter Muhammad, Daoliang Li
Summary: This paper proposes a novel approach to monitoring water quality for aquaculture based on deep learning and three-dimensional movement trajectory. The improved YOLOv8 model is used to obtain three-dimensional position information of fish. Experimental results show that the proposed approach achieves high precision and recall in the recovery experiment of acute ammonia nitrogen stress.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Engineering, Multidisciplinary
Kaixuan Chen, Xiaochun Xue, Yonggang Yu
Summary: This study proposes a sophisticated numerical framework to understand the thermal behavior of NEPE propellant during rapid pressure decay. The framework consists of a propellant pack generation module and a combustion model code. The simulation results show reasonable agreement with experimental data, validating the reliability and effectiveness of the proposed framework. The study reveals the heterogeneity of NEPE propellant combustion and significant changes in surface morphology during rapid depressurization and combustion.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Jiaqi Huang, Jikai Liu
Summary: This paper developed a strength constrained topology optimization method for hyperelastic structures with large deformation-induced frictionless contact and validated the proposed method with several benchmark examples.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Automation & Control Systems
Jiahui Zhang, Jinfu Yang, Fuji Fu, Jiaqi Ma
Summary: This paper introduces an efficient and concise wireframe parsing method called SACWP, which utilizes structural asymmetric convolution and feature aggregation modules to capture long-range contextual features and make accurate predictions. The experimental results demonstrate its effectiveness.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Engineering, Multidisciplinary
Conghua Wang, Jinchen Ji, Zhonghua Miao, Jin Zhou
Summary: This paper proposes a distributed formation tracking protocol for multi-robot systems with switching directed topologies based on the Udwadia-Kalaba approach. By converting formation tracking control requirements into a constraint force and applying a specific method for tracking, the effectiveness of the algorithm is validated through numerical simulations.
APPLIED MATHEMATICAL MODELLING
(2024)
