Journal of Vibroengineering最新文献_第7页

Field test of blasting vibration and adjacent slope stability under the influence of blasting vibration in mining 矿山爆破振动影响下爆破振动及邻近边坡稳定性的现场试验

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Journal of Vibroengineering Pub Date : 2023-06-25 DOI: 10.21595/jve.2022.22826

Can Liu, Feifei Wang, Qingyang Ren, Bin Chen, Hong-hua Jin, Songjun Cui, Ziqiang Zhu

{"title":"Field test of blasting vibration and adjacent slope stability under the influence of blasting vibration in mining","authors":"Can Liu, Feifei Wang, Qingyang Ren, Bin Chen, Hong-hua Jin, Songjun Cui, Ziqiang Zhu","doi":"10.21595/jve.2022.22826","DOIUrl":"https://doi.org/10.21595/jve.2022.22826","url":null,"abstract":"Blasting mining in open-pit has a significant impact on the adjacent slope, which often causes the rock mass cracking and spalling of the slope to form a landslide disaster. In order to explore the impact of blasting vibration on the adjacent slope, field tests were carried out with professional testing equipment, and several blasting vibration data were measured. Sadovsky formula was used for fitting analysis, and the influence coefficient of blasting vibration was obtained. The slope stability analysis was carried out by using the limit equilibrium SLIDE analysis software, and the slope safety factor under the influence of blasting vibration was obtained. The results show that: The maximum blasting vibration speed monitored in this blasting is 2.1987 cm/s, and the main vibration frequency is 14.6484 Hz. Therefore, according to the standards in the regulations, the impact of this blasting on the slope meets the corresponding requirements. In this slope stability analysis, the blasting vibration influence coefficient Kc= 0.032, when 40 m away from the final slope is used. Morgen Prince method and Spencer method generally have higher safety factors than Bishop method. The safety factor of the analysis section at the 45° slope angle is 1.217. The slope can maintain stability under the influence of blasting vibration.","PeriodicalId":49956,"journal":{"name":"Journal of Vibroengineering","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43636218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty analysis for cylindrical structure vibration according to generalized polynomial chaos method 基于广义多项式混沌法的圆柱结构振动不确定性分析

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Journal of Vibroengineering Pub Date : 2023-06-23 DOI: 10.21595/jve.2022.22254

Chen Luyun, H. Yi

引用次数: 0

Research on deformation of valve slice of automobile shock absorber 汽车减振器气门片变形研究

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Journal of Vibroengineering Pub Date : 2023-06-21 DOI: 10.21595/jve.2023.23153

Shisheng Li, Qiong Yuan

引用次数: 0

Sensitivity analysis of numerical model parameters for optimized PEH responses 优化PEH响应数值模型参数的灵敏度分析

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Journal of Vibroengineering Pub Date : 2023-05-29 DOI: 10.21595/jve.2022.22910

Petar Gljušćić, S. Zelenika

引用次数: 0

Experimental study on continuous firing vibration response of the typical machine guns under different ground conditions 不同地面条件下典型机枪连发振动响应的试验研究

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Journal of Vibroengineering Pub Date : 2023-05-05 DOI: 10.21595/jve.2023.22834

Heng-lin Liu, Longqin He, Cheng Xu

{"title":"Experimental study on continuous firing vibration response of the typical machine guns under different ground conditions","authors":"Heng-lin Liu, Longqin He, Cheng Xu","doi":"10.21595/jve.2023.22834","DOIUrl":"https://doi.org/10.21595/jve.2023.22834","url":null,"abstract":"In order to study the influence of ground conditions on the continuous firing vibration response of typical machine gun, and find out under which conditions the machine gun is most stable. A high-speed photography method was used to measure the motion of multiple parts. The motion curve of each part in the shooting process are obtained, and the projectile dispersion are recorded. According to the results, the motion characteristics of each part is analyzed. The pitching and translational quasi-periodic motions of the whole gun under different ground conditions are compared by synthesizing the motion data of various parts. The working modes of gun tripod under different ground conditions are discussed, and are compared according to the corresponding projectile dispersion. The result show that, in quasi-periodic pitching motion, the upward pitching motion response of the gun under the condition of cement ground is large, the ability to restore the initial position is poor, and the corresponding vertical dispersion is the worst. Under the soil condition, the upward and downward pitching motion cycle of the gun is relatively stable, the ability to restore the initial position is strong, and the corresponding vertical dispersion is the best. In terms of quasi-periodic translational motion, the translational motion of the gun mount under the cement ground is the biggest, and the corresponding horizontal dispersion is also the biggest. Under the soil ground condition, the translational motion is the smallest, and the corresponding horizontal dispersion is also the smallest.","PeriodicalId":49956,"journal":{"name":"Journal of Vibroengineering","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42615368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on fault diagnosis method of electromechanical transmission system based on one-dimensional convolutional neural network with variable learning rate 基于变学习率一维卷积神经网络的机电传动系统故障诊断方法研究

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Journal of Vibroengineering Pub Date : 2023-05-05 DOI: 10.21595/jve.2023.22973

Liwu Liu, Guoyan Chen, Feifei Yu, Canyi Du, Yongkang Gong, Huijin Yuan, Zhenni Dai

{"title":"Research on fault diagnosis method of electromechanical transmission system based on one-dimensional convolutional neural network with variable learning rate","authors":"Liwu Liu, Guoyan Chen, Feifei Yu, Canyi Du, Yongkang Gong, Huijin Yuan, Zhenni Dai","doi":"10.21595/jve.2023.22973","DOIUrl":"https://doi.org/10.21595/jve.2023.22973","url":null,"abstract":"As an important part of many mechanical equipment, the mechanical transmission system is very important to carry out efficient and accurate fault monitoring and diagnosis. Compared with traditional fault diagnosis techniques, such as spectrum analysis, deep learning has been widely used in the field of mechanical system fault diagnosis due to its powerful data expression ability, and has achieved certain research results. One-dimensional convolutional neural network is a widely used model for deep learning, so in this paper, the one-dimensional convolutional neural network (1D-CNN) in the deep learning theory and the vibration signal analysis method are integrated and applied to the fault identification of mechanical transmission system to achieve accurate diagnosis and classification of faults. The experiment is mainly to collect the vibration signal data of different fault states such as broken teeth, cracking, shaft unbalance, bearing wear, and excessive friction of the driven wheel of the mechanical transmission system, it was divided into training set and testing set according to an appropriate proportion, and 1D-CNN was built using Python. The deep learning model deeply analyzed the influence of different data sample sizes and different model parameters on the recognition accuracy, and obtained an ideal diagnostic model based on variable learning rate through parameter adjustment and comparative analysis. This experimental results show that the recognition method based on one-dimensional convolutional neural network can be effectively applied to the fault diagnosis of related mechanical transmission, and has a high diagnosis accuracy.","PeriodicalId":49956,"journal":{"name":"Journal of Vibroengineering","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43072387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Diagnosis of rotating machinery based on improved convolutional neural networks with gray-level transformation 基于改进的灰度变换卷积神经网络的旋转机械故障诊断

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Journal of Vibroengineering Pub Date : 2023-04-13 DOI: 10.21595/jve.2023.23040

Guofang Nan, Jianwei Wang, Di Ding

引用次数: 0

Configuration design and load capacity analysis of pelvic fracture reduction robot 骨盆骨折复位机器人的结构设计与承载能力分析

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Journal of Vibroengineering Pub Date : 2023-04-13 DOI: 10.21595/jve.2023.22949

Shenyang Cai, Jing-Hui Lei, Jinjun Rao

引用次数: 1

Discrete sliding mode control method for particle swarm optimization-based brushless DC motor of electric vehicle 基于粒子群优化的电动汽车无刷直流电机离散滑模控制方法

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Journal of Vibroengineering Pub Date : 2023-04-10 DOI: 10.21595/jve.2023.22978

Fei Wang, Qiongzhen Mei, Xiaolei Xin

引用次数: 1

Research on dynamic characteristics of marine engine transmission system 船用发动机传动系统动态特性研究

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Journal of Vibroengineering Pub Date : 2023-04-09 DOI: 10.21595/jve.2023.22933

Wei Sun

{"title":"Research on dynamic characteristics of marine engine transmission system","authors":"Wei Sun","doi":"10.21595/jve.2023.22933","DOIUrl":"https://doi.org/10.21595/jve.2023.22933","url":null,"abstract":"As the main component of marine engine, the transmission system often produces serious vibration and noise, which will significantly affect the performance and service life of the driving mechanism. In order to provide reasonable structural design basis for marine engine transmission system, the dynamic characteristics under different working conditions were studied in this paper. A simplified rectangular structure was applied to express the instantaneous motion state model of the chain link, and the equation was expressed according to Euler kinematics theory. The MNF (modal neutral file) model was derived by making the links and pins flexible parts, and the rigid flexible coupling model of the transmission system was established based on ADAMS. Since invalid constraints were adjusted and replaced, the transmission system model could be simulated and calculated precisely under the conditions of different tension, spindle rotation speed and driving sprocket teeth number. By changing the model parameters through the single variable method, the variation rules of transmission ratio, spindle radial force, transmission ratio deviation and maximum transient stress of chain link were obtained respectively. According to the design and construction of vibration test platform, the simulation result was verified, and the spectrum response results of the chain drive system were obtained. The results show that the rigid flexible coupling model can achieve high simulation accuracy in the chain drive system. Reasonable tension and sprocket teeth number can not only reduce the amplitude, but also reduce the fluctuation of output torque and transmission ratio.","PeriodicalId":49956,"journal":{"name":"Journal of Vibroengineering","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41955114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0