国际机械系统动力学学报(英文)最新文献_第2页

Performance and Life Analysis of Lithium-Ion Batteries Aided by Data-Driven Analysis 基于数据驱动分析的锂离子电池性能与寿命分析

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-04-26 DOI: 10.1002/msd2.70014

Ashish Anil Deshpande, S. D. V. S. S. Varma Siruvuri, Y. B. Sudhir Sastry, Bhanumurthy Rammohan, Samy Refahy Mahmoud, Pattabhi Ramaiah Budarapu

{"title":"Performance and Life Analysis of Lithium-Ion Batteries Aided by Data-Driven Analysis","authors":"Ashish Anil Deshpande, S. D. V. S. S. Varma Siruvuri, Y. B. Sudhir Sastry, Bhanumurthy Rammohan, Samy Refahy Mahmoud, Pattabhi Ramaiah Budarapu","doi":"10.1002/msd2.70014","DOIUrl":"https://doi.org/10.1002/msd2.70014","url":null,"abstract":"The performance and lifespan of Li-ion batteries used in electric vehicles are influenced by operating and environmental conditions. An understanding of the mechanisms leading to performance degradation and capacity fading can aid in the design of better battery systems. In the present study, numerical models are developed to estimate the capacity fading, battery performance, and residual life. Furthermore, key associated parameters are identified as state of charge, charging protocols, and temperature. Later on, a deep machine learning (DML) model consisting of one input, four hidden, and one output layer is developed to estimate the residual life of a battery system. The five input parameters considered include voltage, current, temperature, number of cycles, and time, apart from residual life as the output parameter. The proposed DML model consists of five dense layers and three dropout layers with 2889 trainable parameters in total, with higher neuron counts in initial layers to process diverse inputs and fewer neurons in later layers to ensure compact feature representation as well as to make better and faster predictions. Results from the numerical and DML models are compared to the reported experimental results, where good agreement is observed. Thus, the developed model is tested on Lithium based Nickel Manganese Cobalt Oxide and Nickel Cobalt Aluminum Oxide batteries, for which parametric studies are performed to investigate the influence of the operating temperature, rate of charge/discharge, and pulse charging on the battery life. Therefore, the technologies proposed in this study can contribute to the development of intelligent battery management systems, enabling enhanced performance, and hence prolonged life of battery systems.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 2","pages":"277-289"},"PeriodicalIF":3.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473074","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

PIKFNNs-DPIM for Stochastic Response Analysis of Underwater Acoustic Propagation 基于PIKFNNs-DPIM的水声传播随机响应分析

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-04-17 DOI: 10.1002/msd2.70007

Shuainan Liu, Hanshu Chen, Qiang Xi, Zhuojia Fu

引用次数: 0

Non-Gaussian Random Vibration Test by Control of Multiple Correlation Coefficients, Skewnesses, and Kurtoses 多相关系数、偏度和峰度控制下的非高斯随机振动试验

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-04-16 DOI: 10.1002/msd2.70011

Ronghui Zheng, Guoping Wang, Fufeng Yang

{"title":"Non-Gaussian Random Vibration Test by Control of Multiple Correlation Coefficients, Skewnesses, and Kurtoses","authors":"Ronghui Zheng, Guoping Wang, Fufeng Yang","doi":"10.1002/msd2.70011","DOIUrl":"https://doi.org/10.1002/msd2.70011","url":null,"abstract":"Non-Gaussian random vibrations have gained more attention in the dynamics-research community due to the frequently encountered non-Gaussian dynamic environments in engineering practice. This work proposes a novel non-Gaussian random vibration test method by simultaneous control of multiple correlation coefficients, skewness, and kurtoses. The multi-channel time-domain coupling model is first constructed which is mainly composed of the designed parameters and independent signal sources. The designed parameters are related to the defined correlation coefficients and root mean square values. The synthesized multiple non-Gaussian random signals are unitized to provide independent signal sources for coupling. The first four statistical characteristics of the synthesized non-Gaussian random signals are theoretically derived so that the relationships among the generated signals, independent signal sources, and correlation coefficients are achieved. Subsequently, a multi-channel closed-loop equalization procedure for non-Gaussian random vibration control is presented to produce a multi-channel correlated non-Gaussian random vibration environment. Finally, a simulation example and an experimental verification are provided. Results from the simulation and experiment indicate that the multi-channel response spectral densities, correlation coefficients, skewnesses, and kurtoses can be stably and effectively controlled within the corresponding tolerances by the proposed method.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 2","pages":"372-382"},"PeriodicalIF":3.4,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472897","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

Design of a Tracking Controller Based on Machine Learning 基于机器学习的跟踪控制器设计

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-04-08 DOI: 10.1002/msd2.70006

Dieter Bestle, Sanam Hajipour

{"title":"Design of a Tracking Controller Based on Machine Learning","authors":"Dieter Bestle, Sanam Hajipour","doi":"10.1002/msd2.70006","DOIUrl":"https://doi.org/10.1002/msd2.70006","url":null,"abstract":"Tracking control of multibody systems is a challenging task requiring detailed modeling and control expertise. Especially in the case of closed-loop mechanisms, inverse kinematics as part of the controller may become a game stopper due to the extensive calculations required for solving nonlinear equations and inverting complicated functions. The procedure introduced in this paper substitutes such advanced human expertise by artificial intelligence through the utilization of surrogates, which may be trained from data obtained by classical simulation. The necessary steps are demonstrated along a parallel mechanism called λ-robot. Based on its mechanical model, the workspace is investigated, which is required to set proper initial conditions for generating data covering the used operation space of the robot. Based on these data, artificial neural networks are trained as surrogates for inverse kinematics and inverse dynamics. They provide forward control information such that the remaining error behavior is governed by a linear ordinary differential equation, which allows applying a linear quadratic regulator (LQR) from linear control theory. An additional feedback loop of the tracking error accounts for model uncertainties. Simulation results validate the applicability of the proposed concept.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 2","pages":"201-211"},"PeriodicalIF":3.4,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472891","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

Cover Image, Volume 5, Number 1, March 2025 封面图片，第五卷，第1期，2025年3月

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-03-26 DOI: 10.1002/msd2.70008

引用次数: 0

Multi-State Meshing-Collision Dynamics Modeling and Analysis of High-Contact-Ratio Spur Gear System Considering Tooth Breakage 考虑断齿的高接触比直齿齿轮系统多态啮合碰撞动力学建模与分析

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-03-22 DOI: 10.1002/msd2.70000

Jianfei Shi, Pengfei Qi, Chuang Han, Chao Ye, Wuyin Jin

{"title":"Multi-State Meshing-Collision Dynamics Modeling and Analysis of High-Contact-Ratio Spur Gear System Considering Tooth Breakage","authors":"Jianfei Shi, Pengfei Qi, Chuang Han, Chao Ye, Wuyin Jin","doi":"10.1002/msd2.70000","DOIUrl":"https://doi.org/10.1002/msd2.70000","url":null,"abstract":"Tooth breakage is a common issue in geared systems. The high-contact-ratio spur gear system (HCRSG) maintains continuous transmission despite tooth breakage, but experiences increased impact vibration. In aviation, even if the gear teeth break, the gear's transmission cannot be stopped immediately. Therefore, studying gear system dynamics with tooth breakage is crucial for assessing the reliability of mechanical equipment. This study treats the tooth-back contact induced by backlash as the tooth-back collision and presents the multi-state meshing-collision pattern of HCRSG with one tooth breakage (OTB), including triple-tooth, double-tooth, single-tooth meshes, disengagement, and tooth-back collision. Time-varying meshing stiffness and load distribution coefficients of HCRSG with OTB are calculated. Then a multi-state meshing-collision nonlinear dynamic model of HCRSG with OTB is established. The meshing forces of HCRSG with OTB and without OTB are calculated and compared to examine the effect of tooth breakage. The multi-state meshing-collision nonlinear dynamics of HCRSG with OTB are studied via bifurcation diagram, phase portraits, and Poincaré maps by changing the transmission error amplitude. The results show that 3-2-3-2-3 meshing pattern of HCRSG is shifted to 2-1-2-1-2 meshing pattern due to tooth breakage. The effect of tooth breakage on the meshing force and dynamic behavior significantly depends on teeth disengagement or tooth-back collision. Tooth breakage greatly affects the bifurcation and chaos characteristics of multistate meshing-collision behavior of HCRSG. This study creates a framework to predict and assess the dynamics of gear transmission systems with tooth breakage in extreme aviation and aerospace environments.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 1","pages":"160-175"},"PeriodicalIF":3.4,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707259","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

Hygrothermal Static Bending and Deflection Responses of Porous Multidirectional Nanofunctionally Graded Piezoelectric (NFGP) Plates With Variable Thickness on Elastic Foundations 弹性地基上多孔多向纳米功能梯度压电（NFGP）板的湿热静态弯曲和挠曲响应

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-03-22 DOI: 10.1002/msd2.70003

Pawan Kumar, Suraj Prakash Harsha

{"title":"Hygrothermal Static Bending and Deflection Responses of Porous Multidirectional Nanofunctionally Graded Piezoelectric (NFGP) Plates With Variable Thickness on Elastic Foundations","authors":"Pawan Kumar, Suraj Prakash Harsha","doi":"10.1002/msd2.70003","DOIUrl":"https://doi.org/10.1002/msd2.70003","url":null,"abstract":"This research article introduces a high-order finite element model based on the first-order shear deformation theory to analyze the hygrothermal static responses of nanoscale, multidirectional nanofunctionally graded piezoelectric (NFGP) plates resting on variable elastic foundations. The study considers the material properties of these plates, which are governed by three distinct material laws—Power, Exponential, and Sigmoid as well as various patterns of porosity distribution. The derived governing equations are formulated using Hamilton's principle and incorporate nonlocal piezoelasticity theory, employing a nine-node isoperimetric quadrilateral Lagrangian element capable of handling six degrees of freedom. A comprehensive parametric study is conducted, examining the influence of the small-scale parameter, material exponent for multidirectional grading, variable foundation stiffness, porosity-related exponent, thickness ratio, and the effects of hygrothermal and electrical loading on the NFGP plates, all while considering different boundary conditions. The findings provide valuable insights into the interaction between multidirectional graded smart structures and their foundations under varying hygrothermal and electromechanical conditions, which can significantly enhance the efficiency of designing and developing intelligent structures and systems.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 1","pages":"40-66"},"PeriodicalIF":3.4,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707386","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

Dynamic Response Analysis and Active Vibration Control of the Smart Sandwich Composite Plate With FGM Core Layers and MIMO FGPM Actuators and Sensors FGM芯层与MIMO FGM致动器/传感器智能夹层复合材料板动态响应分析及主动振动控制

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-03-20 DOI: 10.1002/msd2.70001

Kerim Gökhan Aktaş, İsmail Esen

{"title":"Dynamic Response Analysis and Active Vibration Control of the Smart Sandwich Composite Plate With FGM Core Layers and MIMO FGPM Actuators and Sensors","authors":"Kerim Gökhan Aktaş, İsmail Esen","doi":"10.1002/msd2.70001","DOIUrl":"https://doi.org/10.1002/msd2.70001","url":null,"abstract":"This article deals with the dynamic response analysis and active vibration control of the smart functionally graded material (FGM) composite core plate with FG piezoelectric material (FGPM) surface actuators and sensors. Considering a power law distribution, the mechanical and electrical material characteristics of the FGM and FGPM layers change continually along the thickness plane. The finite element method (FEM) and the first-order shear deformation theory (FSDT) are utilized in the modeling process for the FGM and FGPM layers. In the dynamic analysis, the dynamic response of the sandwich structure under the impact of sinusoidally distributed step load and the corresponding sensor voltage is obtained. To ensure that the simulations are accurate, the findings are compared with previously published research. To analyze the control efficiency of FGPM sensors and actuators on the FGM host structure, the linear quadratic regulator (LQR) controller is utilized. The sandwich structure is considered a multiple-input multiple-output system (MIMO), so sensors and actuators are placed at different locations on the plate surface. The modal strain energy method is utilized to find the appropriate location of the FGPM layers. According to the results of the analysis, it has been determined that piezoelectric material coefficients as well as mechanical properties are extremely important for obtaining optimum control performance from FGPM sensors and actuators. In addition, it is emphasized that active vibration control of FGM plates can be performed effectively with the proper selection of sensors and actuators and their accurate distribution on the plate. These results are expected to contribute to micro-electro-mechanical system (MEMS) sensor and actuator applications, soft robotics applications, and vibration protection and vibration damping applications of nanostructures.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 1","pages":"3-19"},"PeriodicalIF":3.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707501","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

Fusion-Based Constitutive Model (FuCe): Toward Model-Data Augmentation in Constitutive Modeling 基于融合的本构模型（FuCe）：迈向本构建模中的模型-数据扩充

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-03-20 DOI: 10.1002/msd2.70005

Tushar, Sawan Kumar, Souvik Chakraborty

{"title":"Fusion-Based Constitutive Model (FuCe): Toward Model-Data Augmentation in Constitutive Modeling","authors":"Tushar, Sawan Kumar, Souvik Chakraborty","doi":"10.1002/msd2.70005","DOIUrl":"https://doi.org/10.1002/msd2.70005","url":null,"abstract":"Constitutive modeling is crucial for engineering design and simulations to accurately describe material behavior. However, traditional phenomenological models often struggle to capture the complexities of real materials under varying stress conditions due to their fixed forms and limited parameters. While recent advances in deep learning have addressed some limitations of classical models, purely data-driven methods tend to require large data sets, lack interpretability, and struggle to generalize beyond their training data. To tackle these issues, we introduce “Fusion-based Constitutive model (FuCe): Toward model-data augmentation in constitutive modeling.” This approach combines established phenomenological models with an Input Convex Neural Network architecture, designed to train on the limited and noisy force-displacement data typically available in practical applications. The hybrid model inherently adheres to necessary constitutive conditions. During inference, Monte Carlo dropout is employed to generate Bayesian predictions, providing mean values and confidence intervals that quantify uncertainty. We demonstrate the model's effectiveness by learning two isotropic constitutive models and one anisotropic model with a single fiber direction, across six different stress states. The framework's applicability is also showcased in finite element simulations across three geometries of varying complexities. Our results highlight the framework's superior extrapolation capabilities, even when trained on limited and noisy data, delivering accurate and physically meaningful predictions across all numerical examples.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 1","pages":"86-100"},"PeriodicalIF":3.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707500","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

The Application of the Novel Kolmogorov–Arnold Networks for Predicting the Fundamental Period of RC Infilled Frame Structures 新型Kolmogorov-Arnold网络在RC填充框架结构基本周期预测中的应用

IF 3.4

国际机械系统动力学学报(英文) Pub Date : 2025-03-18 DOI: 10.1002/msd2.70004

Shan Lin, Kaiyang Zhao, Hongwei Guo, Quanke Hu, Xitailang Cao, Hong Zheng

{"title":"The Application of the Novel Kolmogorov–Arnold Networks for Predicting the Fundamental Period of RC Infilled Frame Structures","authors":"Shan Lin, Kaiyang Zhao, Hongwei Guo, Quanke Hu, Xitailang Cao, Hong Zheng","doi":"10.1002/msd2.70004","DOIUrl":"https://doi.org/10.1002/msd2.70004","url":null,"abstract":"The fundamental period is a crucial parameter in structural dynamics that informs the design, assessment, and monitoring of structures to ensure the safety and stability of buildings during earthquakes. Numerous machine-learning and deep-learning approaches have been proposed to predict the fundamental period of infill-reinforced concrete frame structures. However, challenges remain, including insufficient prediction accuracy and excessive computational resource demands. This study aims to provide a new paradigm for accurately and efficiently predicting fundamental periods, namely, Kolmogorov–Arnold networks (KANs) and their variants, especially radial basis function KANs (RBF-KANs). KANs are formulated based on the Kolmogorov–Arnold representation theorem, positioning them as a promising alternative to multilayer perceptron. In this research, we compare the performance of KANs against fully connected neural networks (FCNNs) in the context of fundamental period prediction. The mutual information method was employed for the analysis of dependencies between features in the FP4026 data set. Nine predictive models, including KANs, F-KANs, FCNN-2, FCNN-11, CatBoost, Support Vector Machine, and others, were constructed and compared, with hyperparameters determined by Optuna, which will highlight the optimal model amongst the F-KANs models. Numerical results manifest that the highest performance is yielded by the KANs with R2 = 0.9948, which offers an explicit form of the formula. Lastly, we further dive into the explainability and interpretability of the KANs, revealing that the number of stories and the opening percentage features have a significant effect on the fundamental period prediction results.","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"5 1","pages":"67-85"},"PeriodicalIF":3.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707662","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