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Cover Image, Volume 4, Number 3, September 2024 封面图片,第 4 卷第 3 号,2024 年 9 月
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-09-30 DOI: 10.1002/msd2.12130

Cover Caption: An innovative negative-stiffness device (NSD) that modifies the apparent stiffness of the supported structure for seismic isolation is presented. The NSD comprises a lower base on the bottom and a cap on the top, together with a connecting rod, vertical movable wall, and compressed elastic spring, as well as circumferentially arranged, pretensioned external ropes, and inclined shape memory wires. This configuration can deliver negative stiffness and energy dissipation in any direction within the horizontal plane. A numerical model of the device is developed through a two-step semirecursive method to obtain the force–displacement characteristic relationship. Such a model is first validated through comparison with the results obtained via the commercial software ADAMS. Finally, a large parametric study is performed to assess the role and the influence of each design variable on the overall response of the proposed device. Useful guidelines are drawn from this analysis to guide the system design and optimization.

封面说明:本文介绍了一种创新的负刚度装置(NSD),它可以改变支撑结构的表观刚度,从而达到隔震效果。负刚度装置包括底部的下基座和顶部的上盖,以及连杆、垂直活动壁、压缩弹性弹簧、周向布置的预紧外绳和倾斜形状记忆线。这种结构可以在水平面内的任何方向提供负刚度和能量消耗。通过两步半递归法开发了该装置的数值模型,以获得力-位移特性关系。首先通过与商业软件 ADAMS 得出的结果进行比较,对该模型进行验证。最后,还进行了一项大型参数研究,以评估每个设计变量对拟议装置整体响应的作用和影响。从这一分析中得出有用的指导原则,以指导系统设计和优化。
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引用次数: 0
Design of bionic water jet thruster with double-chamber driven by electromagnetic force 设计由电磁力驱动的双腔仿生喷水推进器
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-09-22 DOI: 10.1002/msd2.12128
Chong Cao, Yasong Zhang, Chengchun Zhang, Chun Shen, Wen Cheng, Zhenjiang Wei, Zhengyang Wu, Luquan Ren

In response to the limitations of the single-chamber water jet thruster used in underwater vehicles mimicked by natural cephalopods, a novel approach involving a double-chamber water jet thruster has been proposed. This thruster utilizes electromagnetic force to manipulate the diaphragm, thereby altering the volume of the upper and lower chambers to achieve water jet propulsion. Experimental investigations were conducted to determine the tensile length-force characteristics of the diaphragm made of Agileus30. Subsequently, key parameters of essential propulsion components, such as solenoid coils, electromagnets, and currents, were established based on the tensile length-force curve, and the propulsion capabilities of the system were evaluated through theoretical analysis. Theoretical assessments indicate that the system does not produce reverse thrust regardless of whether the coil moves up or down. Further experimental results demonstrate that the maximum peak propulsion force generated by the dual-chamber water jet thruster within a 3-s cycle is 0.253 N.

针对模仿自然头足类水下航行器使用的单腔喷水推进器的局限性,提出了一种涉及双腔喷水推进器的新方法。这种推进器利用电磁力来操纵膜片,从而改变上下腔的容积,实现喷水推进。实验研究确定了 Agileus30 膜片的拉伸长度-力特性。随后,根据拉伸长度-力曲线确定了电磁线圈、电磁铁和电流等基本推进组件的关键参数,并通过理论分析评估了系统的推进能力。理论评估表明,无论线圈是向上还是向下移动,系统都不会产生反向推力。进一步的实验结果表明,双腔喷水推进器在 3 秒周期内产生的最大推进力峰值为 0.253 N。
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引用次数: 0
A data-assisted physics-informed neural network (DA-PINN) for fretting fatigue lifetime prediction 用于摩擦疲劳寿命预测的数据辅助物理信息神经网络 (DA-PINN)
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-09-19 DOI: 10.1002/msd2.12127
Can Wang, Qiqi Xiao, Zhikun Zhou, Yongyu Yang, Gregor Kosec, Lihua Wang, Magd Abdel Wahab

In this study, we present for the first time the application of physics-informed neural network (PINN) to fretting fatigue problems. Although PINN has recently been applied to pure fatigue lifetime prediction, it has not yet been explored in the case of fretting fatigue. We propose a data-assisted PINN (DA-PINN) for predicting fretting fatigue crack initiation lifetime. Unlike traditional PINN that solves partial differential equations for specific problems, DA-PINN combines experimental or numerical data with physics equations as part of the loss function to enhance prediction accuracy. The DA-PINN method, employed in this study, consists of two main steps. First, damage parameters are obtained from the finite element method by using critical plane method, which generates a data set used to train an artificial neural network (ANN) for predicting damage parameters in other cases. Second, the predicted damage parameters are combined with the experimental parameters to form the input data set for the DA-PINN models, which predict fretting fatigue lifetime. The results demonstrate that DA-PINN outperforms ANN in terms of prediction accuracy and eliminates the need for high computational costs once the damage parameter data set is constructed. Additionally, the choice of loss-function methods in DA-PINN models plays a crucial role in determining its performance.

在本研究中,我们首次将物理信息神经网络(PINN)应用于摩擦疲劳问题。虽然 PINN 近来已被应用于纯疲劳寿命预测,但还没有人探索过它在摩擦疲劳情况下的应用。我们提出了一种数据辅助 PINN(DA-PINN),用于预测摩擦疲劳裂纹起始寿命。与针对特定问题求解偏微分方程的传统 PINN 不同,DA-PINN 将实验或数值数据与物理方程相结合,作为损失函数的一部分,以提高预测精度。本研究采用的 DA-PINN 方法包括两个主要步骤。首先,使用临界面法从有限元法中获得损伤参数,生成用于训练人工神经网络(ANN)的数据集,以预测其他情况下的损伤参数。其次,将预测的损伤参数与实验参数相结合,形成 DA-PINN 模型的输入数据集,该模型可预测摩擦疲劳寿命。结果表明,DA-PINN 在预测精度方面优于 ANN,并且在构建损伤参数数据集后无需高昂的计算成本。此外,DA-PINN 模型中损失函数方法的选择对其性能起着至关重要的作用。
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引用次数: 0
Comparison of the performance and dynamics of the asymmetric single-sided and symmetric double-sided vibro-impact nonlinear energy sinks with optimized designs 采用优化设计的非对称单面和对称双面振动冲击非线性能量汇的性能和动力学比较
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-09-10 DOI: 10.1002/msd2.12126
Petro Lizunov, Olga Pogorelova, Tetyana Postnikova

The operation of symmetric double-sided and asymmetric single-sided vibro-impact nonlinear energy sinks (DSVI NES and SSVI NES) is considered in this study. The methodology of optimization procedures is described. It is emphasized that the execution of optimization procedures is ambiguous, allows for a great deal of arbitrariness, and requires experience and intuition on the part of the implementer. There are a lot of damper parameter sets providing similar attenuation of the primary structure (PS) vibrations. It is shown that the efficiency of such mitigation for both VI NES types with optimized parameters is similar. However, their dynamic behavior differs significantly. The system with the attached DSVI NES exhibits calm dynamics with periodic motion and symmetrical bilateral impacts on both obstacles. The system with attached SSVI NES exhibits rich complex dynamics when the exciting force frequency is varied. Periodic modes of different periodicity with different numbers of asymmetric impacts per cycle on the PS directly and on the obstacle alternate with various irregular regimes, namely, chaotic mode, intermittency, and crisis-induced intermittency. The regions of bilateral impacts are narrow and located near resonance; they are narrower for a system with an attached DSVI NES. In a system with an attached SSVI NES, there are wider areas of asymmetric unilateral impacts.

本研究考虑了对称双面和非对称单面振动冲击非线性能量汇(DSVI NES 和 SSVI NES)的运行。本文介绍了优化程序的方法。需要强调的是,优化程序的执行是模糊的,允许很大的任意性,需要执行者的经验和直觉。有很多阻尼器参数集可以提供类似的主结构(PS)振动衰减。结果表明,在参数优化的情况下,两种 VI NES 类型的减震效率是相似的。然而,它们的动态行为却有很大不同。附带 DSVI NES 的系统表现出平静的动态,具有周期性运动和对两个障碍物的对称双边撞击。当激振力频率变化时,附带 SSVI NES 的系统表现出丰富复杂的动力学特性。具有不同周期性的周期模式与各种不规则状态交替出现,即混沌模式、间歇模式和危机诱发的间歇模式。双边撞击区域很窄,位于共振附近;对于附加 DSVI NES 的系统,双边撞击区域更窄。在附带 SSVI NES 的系统中,非对称单边冲击区域较宽。
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引用次数: 0
Virtual vibration test rig for fatigue analysis of dozer push arms 用于推土机推臂疲劳分析的虚拟振动试验台
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-08-31 DOI: 10.1002/msd2.12125
Lei Hou, Weibin Li, Wenyan Gu, Zizheng Sun, Xiangqian Zhu, Jin-Hwan Choi

To obtain accurate fatigue life results for construction machinery components, acquiring load spectra is crucial, as their authenticity and validity directly determine the precision of the analysis. In working conditions, component attitudes change continuously, but they remain static on the vibration test rig (VTR), so the acquired target signals should match with the actual component attitudes in the driving signal generation. This paper proposes an efficient and economical simulation-based virtual VTR for fatigue analysis of dozers. First, the relationship between the push arm rotation angle and the cylinder stroke is established, since the cylinder strokes can be measured easily in data acquisition experiments. Second, load decomposition is used to determine the attitude relationship between virtual VTR conditions and actual conditions, and target signals are calculated based on this attitude relationship and measured data. According to the system's frequency response function, the driving signals are iterated until the system's response signals converge with the target signals. Finally, the iteratively obtained load spectra are utilized for fatigue life analysis. The results show that the virtual VTR can effectively and accurately obtain the results of fatigue analysis and has engineering application significance.

要获得准确的工程机械部件疲劳寿命结果,获取载荷谱至关重要,因为其真实性和有效性直接决定了分析的精度。在工作条件下,部件姿态不断变化,但在振动试验台(VTR)上却保持静态,因此获取的目标信号应与驱动信号生成时的实际部件姿态相匹配。本文提出了一种高效、经济的基于仿真的虚拟推土机疲劳分析 VTR。首先,建立了推臂旋转角度与油缸行程之间的关系,因为油缸行程可以在数据采集实验中轻松测量。其次,利用载荷分解确定虚拟 VTR 条件与实际条件之间的姿态关系,并根据该姿态关系和测量数据计算目标信号。根据系统的频率响应函数,对驱动信号进行迭代,直到系统的响应信号与目标信号趋同。最后,利用迭代得到的载荷谱进行疲劳寿命分析。结果表明,虚拟 VTR 可以有效、准确地获得疲劳分析结果,具有工程应用意义。
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引用次数: 0
Machine learning and numerical investigation on drag coefficient of arbitrary polygonal particles 任意多边形颗粒阻力系数的机器学习和数值研究
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-08-27 DOI: 10.1002/msd2.12124
Haonan Xiang, Cheng Cheng, Pei Zhang, Genghui Jiang

The drag coefficient, as the most important parameter that characterizes particle dynamics in flows, has been the focus of a large number of investigations. Although good predictability is achieved for simple shapes, it is still challenging to accurately predict drag coefficient of complex-shaped particles even under moderate Reynolds number (Re). The problem is that the small-scale shape details of particles can still have considerable impact on the drag coefficient, but these geometrical details cannot be described by single shape factor. To address this challenge, we leverage modern deep-learning method's ability for pattern recognition, take multiple shape factors as input to better characterize particle-shape details, and use the drag coefficient as output. To obtain a high-precision data set, the discrete element method coupled with an improved velocity interpolation scheme of the lattice Boltzmann method is used to simulate and analyze the sedimentation dynamics of polygonal particles. Four different machine-learning models for predicting the drag coefficient are developed and compared. The results show that our model can well predict the drag coefficient with an average error of less than 5% for particles. These findings suggest that data-driven models can be an attractive option for the drag-coefficient prediction for particles with complex shapes.

阻力系数是表征粒子在流动中动力学特性的最重要参数,一直是大量研究的重点。虽然对于形状简单的颗粒可以实现很好的预测,但即使在中等雷诺数(Re)条件下,准确预测形状复杂的颗粒的阻力系数仍然具有挑战性。问题在于,颗粒的小尺度形状细节仍会对阻力系数产生相当大的影响,但这些几何细节无法用单一形状因子来描述。为了解决这一难题,我们利用现代深度学习方法的模式识别能力,将多个形状因子作为输入,以更好地描述颗粒形状细节,并将阻力系数作为输出。为了获得高精度的数据集,我们采用离散元法和改进的格点玻尔兹曼法速度插值方案来模拟和分析多边形颗粒的沉积动力学。开发了四种不同的机器学习模型来预测阻力系数,并进行了比较。结果表明,我们的模型可以很好地预测颗粒的阻力系数,平均误差小于 5%。这些研究结果表明,对于形状复杂的颗粒,数据驱动模型是预测阻力系数的一种有吸引力的选择。
{"title":"Machine learning and numerical investigation on drag coefficient of arbitrary polygonal particles","authors":"Haonan Xiang,&nbsp;Cheng Cheng,&nbsp;Pei Zhang,&nbsp;Genghui Jiang","doi":"10.1002/msd2.12124","DOIUrl":"https://doi.org/10.1002/msd2.12124","url":null,"abstract":"<p>The drag coefficient, as the most important parameter that characterizes particle dynamics in flows, has been the focus of a large number of investigations. Although good predictability is achieved for simple shapes, it is still challenging to accurately predict drag coefficient of complex-shaped particles even under moderate Reynolds number (<i>Re</i>). The problem is that the small-scale shape details of particles can still have considerable impact on the drag coefficient, but these geometrical details cannot be described by single shape factor. To address this challenge, we leverage modern deep-learning method's ability for pattern recognition, take multiple shape factors as input to better characterize particle-shape details, and use the drag coefficient as output. To obtain a high-precision data set, the discrete element method coupled with an improved velocity interpolation scheme of the lattice Boltzmann method is used to simulate and analyze the sedimentation dynamics of polygonal particles. Four different machine-learning models for predicting the drag coefficient are developed and compared. The results show that our model can well predict the drag coefficient with an average error of less than 5% for particles. These findings suggest that data-driven models can be an attractive option for the drag-coefficient prediction for particles with complex shapes.</p>","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"4 3","pages":"317-330"},"PeriodicalIF":3.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.12124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359860","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
Analysis of temperature characteristics of high-speed train wheelset system under complex operating conditions 复杂运行条件下高速列车轮对系统的温度特性分析
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-08-06 DOI: 10.1002/msd2.12122
Baosen Wang, Yongqiang Liu, Yingying Liao, Yixuan Wang

With the rapid advancements in high-speed train technology, the importance of ensuring the safety of train operations has become paramount. Bearings, being a critical component of train bogies, have garnered significant attention for their role in maintaining safety standards. Monitoring the temperature of bearings to evaluate their motion state is a common practice in high-speed trains, emphasizing the need for further research into temperature fluctuations. In this study, a dynamic model is developed for the bearing rotor system of high-speed trains. By considering the contact points between raceways and rolling elements, the power loss in the bearing is obtained and a transient temperature-field model of the system is established. The relationship between node temperature and factors such as ambient temperature, train running speed, and load is illustrated, with a detailed presentation of the influence of bearing fault type and size on node temperature. The analysis results reveal that the node temperature increases with higher values corresponding to those quantifiable factors and is most affected by rolling element fault. Additionally, it is observed that the temperature rises rapidly in the initial stage and gradually flattens out over time. The comparative analysis of temperature under different fault conditions shows that the node temperature is most affected by the rolling element fault. Experiments and actual line temperature data are used to verify the validity of the model. The comparison results show that the simulation aligns well with experimental and line data. The transient temperature-field model of the bearing rotor system in high-speed trains can effectively simulate and predict the temperature change process of each node of the system. The simulation results hold certain theoretical guiding significance for further research and practical applications in ensuring train operation safety.

随着高速列车技术的飞速发展,确保列车运行安全变得至关重要。轴承作为列车转向架的关键部件,在维护安全标准方面的作用备受关注。监测轴承温度以评估其运动状态是高速列车的常见做法,这就强调了进一步研究温度波动的必要性。本研究建立了高速列车轴承转子系统的动态模型。通过考虑滚道和滚动体之间的接触点,得到了轴承的功率损耗,并建立了系统的瞬态温度场模型。模型说明了节点温度与环境温度、列车运行速度和负载等因素之间的关系,并详细介绍了轴承故障类型和尺寸对节点温度的影响。分析结果表明,节点温度随这些可量化因素对应的数值增大而升高,受滚动体故障的影响最大。此外,还观察到温度在初始阶段快速上升,随着时间的推移逐渐趋于平稳。不同故障条件下的温度对比分析表明,节点温度受滚动体故障的影响最大。实验和实际线路温度数据用于验证模型的有效性。对比结果表明,模拟结果与实验数据和线路数据十分吻合。高速列车轴承转子系统的瞬态温度场模型能有效模拟和预测系统各节点的温度变化过程。仿真结果对进一步研究和实际应用保障列车运行安全具有一定的理论指导意义。
{"title":"Analysis of temperature characteristics of high-speed train wheelset system under complex operating conditions","authors":"Baosen Wang,&nbsp;Yongqiang Liu,&nbsp;Yingying Liao,&nbsp;Yixuan Wang","doi":"10.1002/msd2.12122","DOIUrl":"https://doi.org/10.1002/msd2.12122","url":null,"abstract":"<p>With the rapid advancements in high-speed train technology, the importance of ensuring the safety of train operations has become paramount. Bearings, being a critical component of train bogies, have garnered significant attention for their role in maintaining safety standards. Monitoring the temperature of bearings to evaluate their motion state is a common practice in high-speed trains, emphasizing the need for further research into temperature fluctuations. In this study, a dynamic model is developed for the bearing rotor system of high-speed trains. By considering the contact points between raceways and rolling elements, the power loss in the bearing is obtained and a transient temperature-field model of the system is established. The relationship between node temperature and factors such as ambient temperature, train running speed, and load is illustrated, with a detailed presentation of the influence of bearing fault type and size on node temperature. The analysis results reveal that the node temperature increases with higher values corresponding to those quantifiable factors and is most affected by rolling element fault. Additionally, it is observed that the temperature rises rapidly in the initial stage and gradually flattens out over time. The comparative analysis of temperature under different fault conditions shows that the node temperature is most affected by the rolling element fault. Experiments and actual line temperature data are used to verify the validity of the model. The comparison results show that the simulation aligns well with experimental and line data. The transient temperature-field model of the bearing rotor system in high-speed trains can effectively simulate and predict the temperature change process of each node of the system. The simulation results hold certain theoretical guiding significance for further research and practical applications in ensuring train operation safety.</p>","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"4 3","pages":"331-345"},"PeriodicalIF":3.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.12122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359790","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 characteristics of nonlinear vibration isolator for gas turbine 燃气轮机非线性隔振器的动态特性
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-08-05 DOI: 10.1002/msd2.12121
Teng Wang, Linhan Feng, Lei Zhang, Chunhui Zhang, Yue Wu

In this study, a theoretical model of the vibration isolation system of the gas turbine is developed and numerically solved. A simplified finite element (FE) model was also established to determine the response under the shock load. The results of the FE model are used to verify the effectiveness of the theoretical model and the numerical solution. The influence of isolator stiffness, vibration isolator damping, and vibration isolator nonlinear stiffness coefficient on the shock response of the vibration isolation system is studied using the controlled-variable method. These parameters (stiffness, damping, and nonlinear coefficient) enter into the shock resistance design of gas turbine vibration isolators.

本研究建立了燃气轮机隔振系统的理论模型,并对其进行了数值求解。还建立了一个简化的有限元(FE)模型,以确定冲击载荷下的响应。FE 模型的结果用于验证理论模型和数值求解的有效性。使用控制变量法研究了隔振器刚度、隔振器阻尼和隔振器非线性刚度系数对隔振系统冲击响应的影响。这些参数(刚度、阻尼和非线性系数)会影响燃气轮机隔振器的抗冲击设计。
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引用次数: 0
Nonlinear response of a multidirectional negative-stiffness isolation system via semirecursive multibody dynamic approach 通过半递归多体动力学方法实现多向负刚度隔离系统的非线性响应
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-07-17 DOI: 10.1002/msd2.12118
Wei Dai, Biagio Carboni, Giuseppe Quaranta, Yongjun Pan, Walter Lacarbonara

This paper investigates an innovative negative-stiffness device (NSD) that modifies the apparent stiffness of the supported structure for seismic isolation. The NSD comprises a lower base on the bottom and a cap on the top, together with a connecting rod, vertical movable wall, and compressed elastic spring, as well as circumferentially arranged, pretensioned external ropes, and inclined shape memory wires. This configuration can deliver negative stiffness and energy dissipation in any direction within the horizontal plane. A numerical model of the device is developed through a two-step semirecursive method to obtain the force–displacement characteristic relationship. Such a model is first validated through comparison with the results obtained via the commercial software ADAMS. Finally, a large parametric study is performed to assess the role and the influence of each design variable on the overall response of the proposed device. Useful guidelines are drawn from this analysis to guide the system design and optimization.

本文研究了一种创新的负刚度装置(NSD),它可以改变支撑结构的表观刚度,从而达到隔震效果。负刚度装置由底部的下基座和顶部的上盖组成,并配有连杆、垂直活动壁、压缩弹性弹簧、周向布置的预紧外绳和倾斜形状记忆线。这种结构可以在水平面内的任何方向提供负刚度和能量消耗。通过两步半递归法开发了该装置的数值模型,以获得力-位移特性关系。首先通过与商业软件 ADAMS 得出的结果进行比较,对该模型进行验证。最后,还进行了一项大型参数研究,以评估每个设计变量对拟议装置整体响应的作用和影响。从这一分析中得出有用的指导原则,以指导系统设计和优化。
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引用次数: 0
Letter of thanks for IJMSD's JCR debut in 2024 为 IJMSD 在 2024 年的 JCR 首次亮相而写的感谢信
IF 3.4 Q1 ENGINEERING, MECHANICAL Pub Date : 2024-07-12 DOI: 10.1002/msd2.12119
Xiaoting Rui, Marco Amabili, Peter Eberhard, Yonggang Huang

Dear Readers, Authors, Reviewers, Editorial Board Members, Editorial Office Members,

We are pleased and honored to inform you that, according to the 2024 Journal Citation Reports (JCR) from Clarivate released on June 20, 2024, the International Journal of Mechanical System Dynamics (IJMSD) received its first Journal Impact Factor of 3.4 (2023). IJMSD ranks 42nd out of 180 journals in the Engineering, Mechanical category (Q1, top 23.1%), and 39th out of 170 journals in the Mechanics category (Q1, top 22.6%).

On behalf of the IJMSD Editorial Board, we would like to express our sincere gratitude to all authors, Editorial Board Members, peer reviewers, publisher Wiley, Editorial Office Members, and entire mechanical-engineering research community for their support and contributions to IJMSD.

Since publishing the inaugural issue in November 2021, more than 2 years ago, IJMSD has received several other recognitions that include the following: it was selected for the High Starting Point New Journal Project of Excellence Action Plan for China Scientific, Technical, and Medical (STM) Journals in the founding year; indexed by Scopus in 2022, as well as by ESCI and Ei Compendex in 2023; selected in the first batch for the High Starting Point New Journal Project of Excellence Action Plan for STM Journals in Jiangsu Province in 2024; and included in JCR Q1 for both Engineering, Mechanical, and Mechanics categories.

With the continued support from our research community, we hope that IJMSD will serve as a platform for the dissemination of new analytical and numerical results, for publishing high-quality and original research contributions, and for the promotion of the field of mechanical system dynamics.

亲爱的读者、作者、审稿人、编委会成员、编辑部成员:我们很高兴并荣幸地通知您,根据Clarivate于2024年6月20日发布的2024年期刊引证报告(JCR),《国际机械系统动力学学报》(IJMSD)首次获得期刊影响因子3.4(2023年)。IJMSD在工程、机械类180种期刊中排名第42位(第一季度,排名前23.1%),在力学类170种期刊中排名第39位(第一季度,排名前22.6%)。我们谨代表IJMSD编委会向所有作者、编委会成员、同行评审员、出版商Wiley、编辑部成员以及整个机械工程研究界对IJMSD的支持和贡献表示衷心的感谢。自 2021 年 11 月出版创刊号以来,两年多的时间里,IJMSD 还获得了以下几项殊荣:创刊当年即入选 "中国科技医学(STM)期刊高起点新刊创优工程行动计划";2022年被Scopus收录,2023年被ESCI和Ei Compendex收录;2024年入选首批 "江苏省科技医学期刊高起点新刊创优工程行动计划";并被JCR Q1工程类、机械类和力学类收录。我们希望,在研究界的持续支持下,《IJMSD》将成为传播新的分析和数值结果、发表高质量原创研究成果、促进机械系统动力学领域发展的平台。
{"title":"Letter of thanks for IJMSD's JCR debut in 2024","authors":"Xiaoting Rui,&nbsp;Marco Amabili,&nbsp;Peter Eberhard,&nbsp;Yonggang Huang","doi":"10.1002/msd2.12119","DOIUrl":"10.1002/msd2.12119","url":null,"abstract":"<p>Dear Readers, Authors, Reviewers, Editorial Board Members, Editorial Office Members,</p><p>We are pleased and honored to inform you that, according to the 2024 Journal Citation Reports (JCR) from Clarivate released on June 20, 2024, the <i>International Journal of Mechanical System Dynamics</i> (<i>IJMSD</i>) <i>received its first Journal Impact Factor of 3.4 (2023)</i>. <i>IJMSD</i> ranks 42nd out of 180 journals in the Engineering, Mechanical category (<i>Q1, top 23.1%</i>), and 39th out of 170 journals in the Mechanics category (<i>Q1, top 22.6%</i>).</p><p>On behalf of the <i>IJMSD</i> Editorial Board, we would like to express our sincere gratitude to all authors, Editorial Board Members, peer reviewers, publisher Wiley, Editorial Office Members, and entire mechanical-engineering research community for their support and contributions to <i>IJMSD</i>.</p><p>Since publishing the inaugural issue in November 2021, more than 2 years ago, <i>IJMSD</i> has received several other recognitions that include the following: it was selected for the High Starting Point New Journal Project of Excellence Action Plan for China Scientific, Technical, and Medical (STM) Journals in the founding year; indexed by Scopus in 2022, as well as by ESCI and Ei Compendex in 2023; selected in the first batch for the High Starting Point New Journal Project of Excellence Action Plan for STM Journals in Jiangsu Province in 2024; and included in JCR Q1 for both Engineering, Mechanical, and Mechanics categories.</p><p>With the continued support from our research community, we hope that <i>IJMSD</i> will serve as a platform for the dissemination of new analytical and numerical results, for publishing high-quality and original research contributions, and for the promotion of the field of mechanical system dynamics.</p>","PeriodicalId":60486,"journal":{"name":"国际机械系统动力学学报(英文)","volume":"4 3","pages":"257"},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msd2.12119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654210","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
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国际机械系统动力学学报(英文)
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