国际机械系统动力学学报(英文)最新文献_第5页

Dynamic Behavior of a Two-Degree-of-Freedom System With Electromagnetic Interaction via a Skew-Symmetric Matrix 斜对称矩阵下两自由度电磁相互作用系统的动力学行为

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-09-10 DOI: 10.1002/msd2.70047

Fernando Cortés, Ondiz Zarraga, Julen Cortazar-Noguerol, Imanol Sarría, María Jesús Elejabarrieta

{"title":"Dynamic Behavior of a Two-Degree-of-Freedom System With Electromagnetic Interaction via a Skew-Symmetric Matrix","authors":"Fernando Cortés, Ondiz Zarraga, Julen Cortazar-Noguerol, Imanol Sarría, María Jesús Elejabarrieta","doi":"10.1002/msd2.70047","DOIUrl":"https://doi.org/10.1002/msd2.70047","url":null,"abstract":"This paper analyzes the dynamic behavior of a two-degree-of-freedom system subjected to electromagnetic interaction modelled through a skew-symmetric coupling matrix. The system comprises two mechanically independent oscillators coupled by velocity-dependent electromagnetic forces. The equations of motion are formulated and analyzed in the modal domain, highlighting the effects of the antisymmetric interaction on natural frequencies and mode shapes. The classical orthogonality is broken, resulting in complex eigenvectors; nevertheless, the system remains conservative, as the interaction forces perform no work. The analysis is carried out using both configuration-space and state-space formulations, revealing modal frequency splitting and phase shifts induced by the skew-symmetric term. These modal features are further examined through time-domain simulations and frequency response functions. The main contribution of this study is the development and analysis of a deliberately simple yet general model that isolates the essential dynamic effects of skew-symmetric electromagnetic coupling. This minimal formulation, often hidden in more complex systems, reveals key phenomena such as modal frequency splitting, non-normal modes, and energy-conserving cross-effects. The model serves not only as a conceptual reference but also as a methodological framework applicable to a broad class of coupled electromechanical systems.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"579-595"},"PeriodicalIF":3.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fatigue Life Prediction Under Multiaxial Loading Using Machine Learning and Dependency-Aware Sensitivity Analysis 基于机器学习和相关性感知灵敏度分析的多轴载荷下疲劳寿命预测

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-09-02 DOI: 10.1002/msd2.70043

Tran C. H. Nguyen, Xiaoying Zhuang, Anh Tuan Le, Van Hai Luong, N. Vu-Bac

{"title":"Fatigue Life Prediction Under Multiaxial Loading Using Machine Learning and Dependency-Aware Sensitivity Analysis","authors":"Tran C. H. Nguyen, Xiaoying Zhuang, Anh Tuan Le, Van Hai Luong, N. Vu-Bac","doi":"10.1002/msd2.70043","DOIUrl":"https://doi.org/10.1002/msd2.70043","url":null,"abstract":"Accurate prediction of fatigue life under multiaxial loading conditions remains challenging due to complex stress–strain interactions. In this study, we integrate machine-learning (ML) regression with variance-based sensitivity analysis (SA) to predict multiaxial fatigue life in CuZn37 brass and to identify the dominant mechanical factors influencing fatigue damage. Several surrogate models were evaluated, with the Gaussian Process model achieving the highest accuracy (R2 = 0.991) while maintaining robust generalization across loading paths. Gradient Boosting, Random Forest, and Penalized Spline Regression models also demonstrated strong predictive capabilities. Importantly, the SA explicitly accounted for statistical dependencies among input parameters, revealing that normal strain–stress interactions account for over 40% of the total variance in fatigue life. In contrast, shear-related parameters exhibited secondary, compensatory effects. These results highlight the importance of capturing parameter dependencies in fatigue modeling and demonstrate that ML-based surrogates can help provide both high-fidelity predictions and physical insights under complex multiaxial loading conditions.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"736-761"},"PeriodicalIF":3.6,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145814546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Three-Dimensional Fatigue Reliability Model Under Random Loadings 随机载荷作用下的三维疲劳可靠性模型

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-08-17 DOI: 10.1002/msd2.70042

Song Xue, Pengfei Cui, Wanlin Guo

{"title":"A Three-Dimensional Fatigue Reliability Model Under Random Loadings","authors":"Song Xue, Pengfei Cui, Wanlin Guo","doi":"10.1002/msd2.70042","DOIUrl":"https://doi.org/10.1002/msd2.70042","url":null,"abstract":"Random loadings (RL) are prevalent in mechanical systems, yet their inherent stochasticity poses significant challenges to structural fatigue reliability assessment. In this study, a three-dimensional fatigue reliability model is developed under RL through amplitude modulating and Fourier transformation. The non-Gaussian RL characteristics are accurately characterized by employing power spectral density and loading kurtosis. The equivalent initial crack size distributions are evaluated through three-dimensional fatigue growth theory by joint use of the standard fatigue stress-life (S-N) data and the fatigue crack growth data of the materials. Fatigue life distributions in specimens made of different materials with different geometries and thicknesses are analyzed under RL. It is shown that fatigue life exhibits negative correlations with power spectral density, kurtosis, and initial crack size. Especially, it is found that fatigue life and kurtosis approximately follow a power–law relationship, with both mean and variance decreasing as kurtosis increases. Validations against the experimental data available in the literature show that the present model can provide an efficient prediction of the fatigue life of mechanical systems under RL with limited experiment data.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"654-669"},"PeriodicalIF":3.6,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Unified Framework for Dynamic Analysis and Path Tracking Control of Multi-Rotor Aerial Manipulators 多旋翼航空机械臂动力学分析与路径跟踪控制的统一框架

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-08-17 DOI: 10.1002/msd2.70040

S. A. Mirnajafizadeh, A. M. Shafei

{"title":"A Unified Framework for Dynamic Analysis and Path Tracking Control of Multi-Rotor Aerial Manipulators","authors":"S. A. Mirnajafizadeh, A. M. Shafei","doi":"10.1002/msd2.70040","DOIUrl":"https://doi.org/10.1002/msd2.70040","url":null,"abstract":"This study presents a comprehensive and standardized foundation for the mathematical modeling and control of flying-base-mounted manipulators, addressing several critical challenges in aerial robotics. The primary contributions of this study include: (1) the development of a unified framework for computing the system's generalized forces, incorporating both active motor inputs and passive constraint forces; (2) a trajectory planning method for the flying base that simultaneously accounts for both desired position and orientation; (3) an automatic and recursive methodology for deriving the system's equations of motion, ensuring that increasing the number of links in the manipulator or flying base does not introduce limitations; and (4) a motor configuration strategy that enables the flying base to achieve unrestricted motion in three-dimensional space. To address these challenges, the proposed approach systematically decomposes the robot structure—consisting of the flying base and the mounted manipulator—into a set of substructures. Each substructure, modeled as an open kinematic chain with a moving base, is analyzed using the recursive Gibbs-Appell algorithm to derive its equations of motion. These individual equations are then integrated to obtain the coupled dynamics of the complete system, capturing the mutual interactions between the flying base and the manipulator. Finally, a feedback linearization-based controller is designed to enable simultaneous trajectory tracking of both the flying base and the manipulator's end-effector. Simulation results validate the effectiveness of the proposed control strategy, demonstrating its ability to achieve precise positioning and accurate orientation tracking of the entire robotic system.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"629-653"},"PeriodicalIF":3.6,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145848152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Data-Driven Approach to Integrated Adaptive Morphing and Guidance for Cruise Missiles 一种数据驱动的巡航导弹自适应变形与制导集成方法

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-08-03 DOI: 10.1002/msd2.70039

Ming-Yu Wu, Jiang-Liu Huang, Xiao-Wei Cai, Xian-Jun He, Zhi-Hua Chen, Chun Zheng, Yi-Xin Liu

{"title":"A Data-Driven Approach to Integrated Adaptive Morphing and Guidance for Cruise Missiles","authors":"Ming-Yu Wu, Jiang-Liu Huang, Xiao-Wei Cai, Xian-Jun He, Zhi-Hua Chen, Chun Zheng, Yi-Xin Liu","doi":"10.1002/msd2.70039","DOIUrl":"https://doi.org/10.1002/msd2.70039","url":null,"abstract":"To address the complex coupling between aerodynamic characteristics and guidance control for morphing flight missiles, this study proposes a data-driven approach to integrated adaptive morphing and guidance. Firstly, an aerodynamic surrogate model is constructed using a fully connected neural network (FCNN), mapping the configuration parameters to aerodynamic parameters. Secondly, an adaptive physical parameters optimization network (PPON) is developed to optimize aerodynamic characteristics based on predictions from the aerodynamic surrogate model. Thirdly, an integrated morphing and guidance model is derived by applying the proximal policy optimization (PPO) algorithm from deep reinforcement learning (DRL), embedded with the adaptive aerodynamic optimization model. Eventually, the proposed integrated approach is applied to the guidance task of a morphing cruise missile with variable camber wings. Simulation results demonstrate that the integrated guidance model significantly enhances aerodynamic performance and generates more continuous guidance commands within approximately 4.3 s, outperforming the deep Q-Network (DQN) algorithm under morphing flight conditions. Moreover, compared to the PPO and DQN-based guidance laws without morphing flight conditions, the integrated model improves both the guidance accuracy and terminal kinetic energy. Furthermore, the integrated guidance model, trained on stationary targets, remains effective for engaging moving and maneuvering targets, showcasing its robust generalization capability.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"670-693"},"PeriodicalIF":3.6,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Launch Uncertainty Analysis Under Barrel Erosion Using Experiments and Random Matrix Theory 基于试验和随机矩阵理论的炮管侵蚀发射不确定性分析

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-07-31 DOI: 10.1002/msd2.70034

Chengyuan Guo, Guolai Yang, Liqun Wang, Jianli Ge, Qingle Wu, Hao Guo

引用次数: 0

Image-Based Flaw Identification Using Convolutional Neural Network 基于图像的卷积神经网络缺陷识别

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-07-28 DOI: 10.1002/msd2.70038

Pugazhenthi Thananjayan, Sundararajan Natarajan, Palaniappan Ramu

{"title":"Image-Based Flaw Identification Using Convolutional Neural Network","authors":"Pugazhenthi Thananjayan, Sundararajan Natarajan, Palaniappan Ramu","doi":"10.1002/msd2.70038","DOIUrl":"https://doi.org/10.1002/msd2.70038","url":null,"abstract":"Flaw detection in structures is crucial for ensuring structural integrity and safety across various engineering applications. Traditional nondestructive evaluation (NDE) techniques often face challenges in accurately identifying and characterizing flaws, particularly when dealing with complex geometries and strain fields. In this study, we propose a deep learning-based approach utilizing convolutional neural networks (CNNs) for the regression-based parameter identification of flaws in structures. Specifically, we focus on identifying and characterizing circular flaws and cracks. The photoelastic fringe patterns of the flawed structure are used for training and testing the model and are generated using the quadtree-based scaled boundary finite element method (SBFEM), which provides high-fidelity images. The proposed CNN model is trained on these fringe images to learn the intricate patterns associated with different types of flaws and to regress the geometric parameters of the flaws accurately. The results demonstrate that our approach achieves high accuracy, with the CNN model's predictions for both circular flaws and cracks approaching 99%, showcasing the potential of deep learning in advancing NDE methods.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"694-706"},"PeriodicalIF":3.6,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145848369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization Study on Battery Thermal Management System With Coupled Air and Microchannel Liquid Cooling Strategy 风冷-微通道耦合电池热管理系统优化研究

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-07-28 DOI: 10.1002/msd2.70033

Xiaolu Yuan, Xintian Xu, Chenghui Qiu, Zhuo Zeng, Yufei Cai

{"title":"Optimization Study on Battery Thermal Management System With Coupled Air and Microchannel Liquid Cooling Strategy","authors":"Xiaolu Yuan, Xintian Xu, Chenghui Qiu, Zhuo Zeng, Yufei Cai","doi":"10.1002/msd2.70033","DOIUrl":"https://doi.org/10.1002/msd2.70033","url":null,"abstract":"Because of the surging demand for clean energy, the performance and safety of lithium-ion batteries (LIBs) for energy storage and conversion have received much attention. This study presents a battery thermal management system (BTMS) that combines air cooling with microchannel liquid cooling. The system is optimized to significantly improve heat dissipation efficiency and reduce energy consumption. The study utilizes computational fluid dynamics (CFD) simulations to analyze the effects of various air supply velocities, microchannel cross-sectional dimensions, and cooling water flow rates on the thermal performance, which leads to a step-by-step optimization and an overall improvement of the BTMS performance. The balance between BTMS thermal performance and energy consumption is achieved by expanding the thermal performance data samples using the orthogonal method and subsequent multi-objective optimization of energy consumption and heat dissipation using the entropy-weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to determine the optimal operating parameters. This study highlights the potential for optimizing LIB thermal management through parameter tuning and validates the effectiveness of a comprehensive optimized hybrid cooling strategy in improving battery performance and safety.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 4","pages":"775-788"},"PeriodicalIF":3.6,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145825368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monitoring of Corrosion Damage by Using iFEM Methodology 用iFEM方法监测腐蚀损伤

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-07-18 DOI: 10.1002/msd2.70032

Yildirim Dirik, Selda Oterkus, Erkan Oterkus

引用次数: 0

Cover Image, Volume 5, Number 2, June 2025 封面图片，第五卷，第2期，2025年6月

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-06-25 DOI: 10.1002/msd2.70036

引用次数: 0