国际机械系统动力学学报(英文)最新文献

Cover Image, Volume 5, Number 3, September 2025 封面图片，第五卷，第三期，2025年9月

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-09-24 DOI: 10.1002/msd2.70050

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

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Back Cover Image, Volume 5, Number 2, June 2025 封底图片，第五卷，第二期，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/msd2.70037

引用次数: 0

Robust Control for Uncertain Vertical Electric Stabilization System With Flexible Nonlinearity Using Backstepping Idea 含柔性非线性的不确定垂直电镇定系统的鲁棒控制

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-06-20 DOI: 10.1002/msd2.70029

Peng Liu, Tan Lu, He Zhang

{"title":"Robust Control for Uncertain Vertical Electric Stabilization System With Flexible Nonlinearity Using Backstepping Idea","authors":"Peng Liu, Tan Lu, He Zhang","doi":"10.1002/msd2.70029","DOIUrl":"https://doi.org/10.1002/msd2.70029","url":null,"abstract":"A robust control method for the uncertain vertical electric stabilization system (VESS) with flexible nonlinearity is proposed, and the mismatched uncertainty is considered and compensated based on the backstepping idea. First, based on evaluating the coupling effects of the flexible nonlinearity, the analytical dynamics model of the VESS is established. Second, the tracking error is defined as the evaluation of the system's pitch-pointing tracking control, and then the mismatched state space model with two interconnected subsystems is established as the controlled system. Third, the original mismatched system is converted to the locally matched system using the backstepping design to transform the system state variables. The robust control is proposed to handle the flexible nonlinearity and mismatched uncertainty, which can make both the original system and the reconfigured system present practical stability. Finally, the effectiveness of the proposed control is verified by numerical simulation experiments. This study should be the first to consider flexible nonlinearity coupling and two different uncertainties (matched and mismatched uncertainty) in the design of pitch-pointing tracking control for the vertical electric stabilization system (VESS).","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 3","pages":"443-462"},"PeriodicalIF":3.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129185","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

Transfer Learning in Physics-Informed Neurals Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation 物理信息神经网络中的迁移学习：完全微调，轻量级微调和低秩适应

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-06-06 DOI: 10.1002/msd2.70030

Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

{"title":"Transfer Learning in Physics-Informed Neurals Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation","authors":"Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu","doi":"10.1002/msd2.70030","DOIUrl":"https://doi.org/10.1002/msd2.70030","url":null,"abstract":"AI for PDEs has garnered significant attention, particularly physics-informed neural networks (PINNs). However, PINNs are typically limited to solving specific problems, and any changes in problem conditions necessitate retraining. Therefore, we explore the generalization capability of transfer learning in the strong and energy forms of PINNs across different boundary conditions, materials, and geometries. The transfer learning methods we employ include full finetuning, lightweight finetuning, and low-rank adaptation (LoRA). Numerical experiments include the Taylor-Green Vortex in fluid mechanics and functionally graded materials with elastic properties, as well as a square plate with a circular hole in solid mechanics. The results demonstrate that full finetuning and LoRA can significantly improve convergence speed while providing a slight enhancement in accuracy. However, the overall performance of lightweight finetuning is suboptimal, as its accuracy and convergence speed are inferior to those of full finetuning and LoRA.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 2","pages":"212-235"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472802","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

Numerical Simulation of Transient Heat Conduction With Moving Heat Source Using Physics Informed Neural Networks 基于物理信息神经网络的移动热源瞬态热传导数值模拟

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-06-05 DOI: 10.1002/msd2.70031

Anirudh Kalyan, Sundararajan Natarajan

引用次数: 0

Effect of Orthotropic Variable Foundations and Unconventional Support Conditions on Nonlinear Hygrothermoelectric Vibration of Porous Multidirectional Piezoelectric Functionally Graded Nonuniform Plate 正交各向异性变基础和非常规支护条件对多孔多向功能梯度非均匀板非线性湿热电振动的影响

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-05-25 DOI: 10.1002/msd2.70027

Pawan Kumar, Sontipee Aimmanee, Suraj Prakash Harsha

{"title":"Effect of Orthotropic Variable Foundations and Unconventional Support Conditions on Nonlinear Hygrothermoelectric Vibration of Porous Multidirectional Piezoelectric Functionally Graded Nonuniform Plate","authors":"Pawan Kumar, Sontipee Aimmanee, Suraj Prakash Harsha","doi":"10.1002/msd2.70027","DOIUrl":"https://doi.org/10.1002/msd2.70027","url":null,"abstract":"This article investigates the nonlinear vibration behavior of porous multidirectional piezoelectric functionally graded nonuniform (PFGN) plates resting on orthotropic variable elastic foundations and subjected to hygrothermal loading. The sigmoidal law is employed to define the multidirectional gradation properties, incorporating porosity along both the axial and thickness directions. The governing equations for the porous multidirectional PFGN plate are derived using the modified first-order shear deformation theory (FSDT) with nonlinear von Kármán strain and Hamilton's principle. A higher-order finite element (FE) approach, combined with a modified Newton-Raphson method, is utilized to solve the resulting equations. The study reveals that orthotropic variable elastic foundations significantly influence the vibration behavior of multidirectional PFGN porous plates compared to conventional elastic foundations under hygrothermal loading. Additionally, the effects of various parameters such as thickness ratio, tapered ratio, material exponent, boundary conditions, porosity distribution, electrical loading, temperature variation, and moisture change on the vibration behavior are comprehensively analyzed. The results of this study have direct applications in energy harvesting and structural health monitoring, offering a novel approach to designing and optimizing smart materials for engineering systems operating under hygrothermal and thermoelectrical conditions.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 3","pages":"535-563"},"PeriodicalIF":3.6,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129379","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

Three Benefits of Using Nonlinear Compliance in Robotic Systems Performing Cyclic Tasks: Energy Efficiency, Control Robustness, and Gait Optimality 在执行循环任务的机器人系统中使用非线性顺应性的三个好处：能源效率，控制鲁棒性和步态最优性

IF 3.6

国际机械系统动力学学报(英文) Pub Date : 2025-05-25 DOI: 10.1002/msd2.70012

Rezvan Nasiri, Mahdi Khoramshahi, Mohammad Javad Yazdanpanah, Majid Nili Ahmadabadi

{"title":"Three Benefits of Using Nonlinear Compliance in Robotic Systems Performing Cyclic Tasks: Energy Efficiency, Control Robustness, and Gait Optimality","authors":"Rezvan Nasiri, Mahdi Khoramshahi, Mohammad Javad Yazdanpanah, Majid Nili Ahmadabadi","doi":"10.1002/msd2.70012","DOIUrl":"https://doi.org/10.1002/msd2.70012","url":null,"abstract":"Nonlinearity in parallel compliance can be exploited to improve the performance of locomotion systems in terms of (1) energy efficiency, (2) control robustness, and (3) gait optimality; that is, attaining energy efficiency across a set of motions. Thus far, the literature has investigated and validated only the first two benefits. In this study, we present a new mathematical framework for designing nonlinear compliances in cyclic tasks encompassing all three benefits. We present an optimization-based formulation for each benefit to obtain the desired compliance profile. Furthermore, we analytically prove that, compared to linear compliance, using nonlinear compliance leads to (1) lower energy consumption, (2) better closed-loop performance, specifically in terms of tracking error, and (3) a higher diversity of natural frequencies. To compare the performance of linear and nonlinear compliance, we apply the proposed methods to a diverse set of robotic systems performing cyclic tasks, including a 2-DOF manipulator, a 3-DOF bipedal walker, and a hopper model. Compared to linear compliance, the nonlinear compliance leads to better performance in all aspects; for example, a 70% reduction in energy consumption and tracking error for the manipulator simulation. Regarding gait optimality, for all robotic simulation models, compared to linear compliance, the nonlinear compliance has lower energy consumption and tracking error over the considered set of motions. The proposed analytical studies and simulation results strongly support the idea that using nonlinear compliance significantly improves robotic system performance in terms of energy efficiency, control robustness, and gait optimality.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 3","pages":"564-575"},"PeriodicalIF":3.6,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129380","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

Explainable Artificial Intelligence (XAI) for Material Design and Engineering Applications: A Quantitative Computational Framework 材料设计与工程应用的可解释人工智能（XAI）：一个定量计算框架

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-05-20 DOI: 10.1002/msd2.70017

Bokai Liu, Pengju Liu, Weizhuo Lu, Thomas Olofsson

{"title":"Explainable Artificial Intelligence (XAI) for Material Design and Engineering Applications: A Quantitative Computational Framework","authors":"Bokai Liu, Pengju Liu, Weizhuo Lu, Thomas Olofsson","doi":"10.1002/msd2.70017","DOIUrl":"https://doi.org/10.1002/msd2.70017","url":null,"abstract":"The advancement of artificial intelligence (AI) in material design and engineering has led to significant improvements in predictive modeling of material properties. However, the lack of interpretability in machine learning (ML)-based material informatics presents a major barrier to its practical adoption. This study proposes a novel quantitative computational framework that integrates ML models with explainable artificial intelligence (XAI) techniques to enhance both predictive accuracy and interpretability in material property prediction. The framework systematically incorporates a structured pipeline, including data processing, feature selection, model training, performance evaluation, explainability analysis, and real-world deployment. It is validated through a representative case study on the prediction of high-performance concrete (HPC) compressive strength, utilizing a comparative analysis of ML models such as Random Forest, XGBoost, Support Vector Regression (SVR), and Deep Neural Networks (DNNs). The results demonstrate that XGBoost achieves the highest predictive performance (<math></math>), while SHAP (Shapley Additive Explanations) and LIME (Local Interpretable Model-Agnostic Explanations) provide detailed insights into feature importance and material interactions. Additionally, the deployment of the trained model as a cloud-based Flask-Gunicorn API enables real-time inference, ensuring its scalability and accessibility for industrial and research applications. The proposed framework addresses key limitations of existing ML approaches by integrating advanced explainability techniques, systematically handling nonlinear feature interactions, and providing a scalable deployment strategy. This study contributes to the development of interpretable and deployable AI-driven material informatics, bridging the gap between data-driven predictions and fundamental material science principles.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 2","pages":"236-265"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473122","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