{"title":"Morphing beam dynamics under moving force and moving moment with inertia effects","authors":"Debashis Singha, Senthil Murugan","doi":"10.1177/10775463241265991","DOIUrl":"https://doi.org/10.1177/10775463241265991","url":null,"abstract":"Morphing structures are re-configurable structures that can change its geometry to perform multiple functions in multiple operating conditions. Morphing beam structures have considerable applications in industrial robots, morphing aircraft, deployable space structures, etc. In this study, dynamic modelling and analysis of a telescopic type morphing beam, modelled as moving load problem with inertia effects, is performed. The moving loads are assumed to travel along the length of the beam, from fixed to free end and free to fixed end. The material and geometric parameters of the beam are assumed to be constant. The Rayleigh beam theory is used to model the beam, taking into account the rotating inertia effects. Dirac Delta function is used to model the moving loads in the governing equation. A hybrid analytical and numerical approach that couples eigenfunction expansions and Laplace transformation, along with the Crank–Nicholson numerical scheme, is developed to solve the coupled differential equations. The number of oscillations per unit travel time of the moving load and the Dynamic Amplification Factor (DAF) of the beam’s tip response are used to quantify the dynamic effects. Numerical results are investigated for the various non-dimensionalized speeds defined in terms of the moving loads’ critical speed. Numerical result shows that loads moving at low speeds have a more pronounced impact on the dynamic response compared to high speeds. Moving moment induces significant oscillatory behaviour for both (Fixed-free and Free-fixed) boundary conditions. In contrast, the moving mass induces oscillation only when it travels from free-end to fixed-end.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"41 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jennifer Dietrich, Ghislain Raze, Arnaud Deraemaeker, Christophe Collette, Gaëtan Kerschen
{"title":"H∞ tuning rules for positive position feedback controllers: The single-degree-of-freedom case and beyond","authors":"Jennifer Dietrich, Ghislain Raze, Arnaud Deraemaeker, Christophe Collette, Gaëtan Kerschen","doi":"10.1177/10775463241258801","DOIUrl":"https://doi.org/10.1177/10775463241258801","url":null,"abstract":"This paper presents an exact H<jats:sub> ∞</jats:sub> tuning methodology for a positive position feedback (PPF) controller applied to a single-degree-of-freedom (SDOF) system. To this end, an equivalence between the closed-loop receptances of a PPF controller and a resistive–inductive shunt with a negative capacitance is put forward, which, in turn, enables us to adopt the existing shunt tuning rule in the active control case. The resulting tuning procedure is demonstrated using two numerical examples, namely, an SDOF system and a finite element model of a cantilever beam. Based on the results obtained on the cantilever beam, it is shown that the influence of higher-frequency modes cannot be neglected to obtain effective vibration damping. The design procedure proposed for the PPF controller is then extended to this case and validated using an experimental cantilever beam.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"24 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sanjay Kumar Raj, Bamadev Sahoo, Alok Ranjan Nayak, Lokanath Panda
{"title":"Multi-scale analysis for dynamic stability of an axially accelerating viscoelastic beam subjected to combination parametric resonance","authors":"Sanjay Kumar Raj, Bamadev Sahoo, Alok Ranjan Nayak, Lokanath Panda","doi":"10.1177/10775463241260987","DOIUrl":"https://doi.org/10.1177/10775463241260987","url":null,"abstract":"The analytical–numerical approach has been adopted to investigate the nonlinear planner response of an axially accelerating beam with the coexistence of additive-type combination parametric resonance and internal resonance. This study includes geometric nonlinearity developed due to the stretching of the neutral layer, longitudinally varying tension, harmonically fluctuating speed, material, and modal dampings. For the suitable value of the system parameters, the second natural frequency of the moving system is approximately equal to three times of first mode, consequently, three-to-one internal resonance activates for a specific range of mean axial speed. The perturbation method of multiple time scales is adopted to solve the beams governing integro-partial differential equation motion with associated end conditions, resulting in complex variable modulation equations that control amplitude and phase modulation. The continuation algorithm technique is used to compute these modulation equations to study the impact of various control parameters, such as internal frequency detuning parameter, variable speed, pulley stiffness parameter, and axial stiffness through the frequency and amplitude response curves. Trivial state stability plots are also presented to illustrate the impact of material and external dampings on the stability of the system. The findings of this analysis are unique and still need to be addressed in the literature.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"57 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Active nonlinear vibration control of a buckled beam based on deep reinforcement learning","authors":"Yi-Ang Zhang, Songye Zhu","doi":"10.1177/10775463241264112","DOIUrl":"https://doi.org/10.1177/10775463241264112","url":null,"abstract":"Vibration control in civil engineering is often challenging due to the nonlinear nature of structures. Traditional control strategies have limitations in terms of modeling accuracy and scalability, especially when analyzing complex nonlinear systems. To solve this problem, this study proposes a model-free active vibration control technique specifically for nonlinear systems, which employs deep reinforcement learning (DRL) to train a neural network controller. The effectiveness and practicality of the proposed method have been validated on a shallow, simply supported buckled beam. The results prove that DRL can significantly increase the safety margin and effectively mitigate buckling under high load levels without requiring extra energy. Compared with conventional model-based linear and polynomial controllers, the proposed control strategy demonstrates excellent adaptability and ease of implementation. This research aims to supplement and expand the existing understanding of DRL applications in structural control, pointing towards a promising direction for future technological advancements and real-world applications.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient vibration analysis system using empirical mode decomposition residual signal and multi-axis data","authors":"Swapnil Ninawe, Raghavendra Deshmukh","doi":"10.1177/10775463241262117","DOIUrl":"https://doi.org/10.1177/10775463241262117","url":null,"abstract":"The empirical mode decomposition (EMD) method is a technique that recursively decomposes an input signal into intrinsic mode functions (IMFs) by residual signals, primarily for identifying desirable features. The suggested algorithm observes the residual signal instead of the IMF, which lowers the computing load. The study introduces a new method for detecting bearing faults by enhancing signal extraction from sensor data using EMD and multi-axis feature extraction. This method streamlines the process by filtering out high-frequency noise and correlating residual signal information with analysis. The approach also enhances the signal-to-noise ratio (SNR) and feature signature identification using digital signal processing (DSP) techniques. The algorithm for vibration data analysis is tested for bearing failures, identifying shaft frequency and inner race bearing faults, which can be implemented in parallel. For the inner race fault bearing analysis, two-level EMD with a residual signal generates output similar to five-iteration EMD, saving 60% of computations. The use of spectral multiplication to multi-axis data processing produced a rise in the SNR of 18.32 dB to 20.92 dB for Y-axis and X-axis input, respectively. When compared to the single-axis IMF data computation, 20% fewer iterations are needed overall. A single-level EMD is adequate for calculating the rotational frequency of a healthy bearing. For the Y- and X-axis input, multi-axis analysis increases SNR by 10.68 dB and 13.14 dB, accordingly. This comprehensive strategy reduces computational complexity, improves fault detection accuracy, and minimizes noise impact, making it a promising solution for bearing fault detection.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"412 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A hybrid network TEdgeNeXt for data-limited and resource-constrained fault diagnosis","authors":"Chenglong Zhang, Zijian Qiao, Hao Li, Xuefang Xu, Siyuan Ning, Chongyang Xie","doi":"10.1177/10775463241266277","DOIUrl":"https://doi.org/10.1177/10775463241266277","url":null,"abstract":"In the field of intelligent machinery fault diagnosis, overcoming challenges arising from scarce labeled data and the demand for deployment on resource-constrained edge devices is imperative. To address these hurdles, this work aims to improve the ability of deep learning models to learn strong feature representations from limited data, while also reducing the model complexity. We presenting a novel network named TEdgeNeXt, the approach begins with a new signal-to-image conversion method, which is proved to be able to acquire less training data quantity. Structurally, the Convolutional (Conv.) Encoder initially is employed with depth-wise separable convolution to control the size of model rather than the traditional convolution, and the Split Depth-wise Transpose Attention (SDTA) encoder is consequently utilized by leveraging a multidimensional processing approach and the Multi-head Self-Attention which is across the channel dimensions instead of the spatial channel. By doing so, it effectively handles challenges such as high multiply-additions (MAdds) and increased latency through Flops and params. On the other hand, the fine-tune-based transfer learning technique is able to be extended in our approach for improving the capacity of generalizing. Ultimately, it indicates the noticeable improvements in Top-1 Accuracy (T1A), Mean Precision (MP), Mean Recall (MR), and Mean F1 score (MF1) across three distinct datasets.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"69 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria-Styliani Daraki, Konstantinos Marakakis, Georgia A Foutsitzi, Georgios E Stavroulakis
{"title":"Auxetic enhancement of the shunted piezoelectric effect for vibration suppression","authors":"Maria-Styliani Daraki, Konstantinos Marakakis, Georgia A Foutsitzi, Georgios E Stavroulakis","doi":"10.1177/10775463241266328","DOIUrl":"https://doi.org/10.1177/10775463241266328","url":null,"abstract":"Shunted piezoelectric patches connected to passive electric circuits can be attached to a host structure for effective vibration attenuation. The effect of an auxetic layer to enhance the electromechanical coupling and subsequently the vibration suppression is studied here. Three different configurations are considered for the layer: a classical, a homogeneous auxetic and a layer with microstructure leading to auxetic behavior. First, is presented a modification of the “current-flowing” shunt circuit for multimode vibration control. Two finite element models have been validated, the frequency response graph of the system and the most suitable values of the electric parameters are calculated and a comparison is provided. Furthermore, it is shown that the vibration reduction of the second and third eigenmodes can be enhanced, provided that an auxetic of significant thickness is used. The results demonstrate the effect of the auxetic boosting on vibration suppression.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"11 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vibration control of structure using active tuned mass damper: A new control algorithm","authors":"Motasam Mousaviyan Safakhaneh, Maziar Fahimi Farzam, Hamzeh Ahmadi, Arash Farnam","doi":"10.1177/10775463241263889","DOIUrl":"https://doi.org/10.1177/10775463241263889","url":null,"abstract":"This paper investigates the vibration behavior of a 10-story benchmark building controlled with an active tuned mass damper (ATMD) under earthquake loads. An ATMD, typically installed on the top floor, is a modified form of a tuned mass damper (TMD) that includes a mass, spring, damper, and an actuator enhancing system performance and structural damping. The force and movement direction of the ATMD are controlled by a processor and actuator. In the ATMD system, control algorithms determine the magnitude and direction of the applied force. This research introduces a new control algorithm based on the structure’s dynamic response and ATMD stiffness. To evaluate the performance of this algorithm, linear–quadratic regulator (LQR) and fuzzy logic controller (FLC) algorithms were designed and presented for comparison. The results indicate that the proposed algorithm outperformed the other algorithms, reducing the structure’s displacement and acceleration responses by an average of 40% and 28.16%, respectively, compared to the uncontrolled state.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"82 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vertical vibration control to the in-wheel-motor electric vehicles with static eccentricity based on a reinforcement learning method","authors":"Dawei Zhang, Chen Zhong, Shuizhou Liu, Peijuan Xu, Yiyang Tian","doi":"10.1177/10775463241264047","DOIUrl":"https://doi.org/10.1177/10775463241264047","url":null,"abstract":"The in-wheel-motor electric vehicle (IWM-EV) is hailed as the epitome of driving ingenuity within the realm of electric vehicles. Nonetheless, the intricate nature of its components, compounded by the intricate interplay of multiple force fields, poses a significant detriment to ride comfort. In the present study, an IWM-EV driven by a permanent magnet synchronous motor was employed as a representative case study. Initially, the calculations were conducted to determine the unbalanced magnetic force (UMF) in the presence of static eccentricity of the stator. Subsequently, the characteristics of UMF across different ratios of static eccentricity as well as different velocities in the time domains were analyzed. Furthermore, the road-electromagnetic-mechanical model was developed to investigate the influence of UMF on the vertical vibration of IWM-EV under static eccentricity, comparing it against the scenario devoid of UMF. Finally, a reinforcement learning control approach was adopted to regulate the active suspension system, comparing its efficacy with that of passive suspension and semi-active suspension (specifically, skyhook control). Through extensive simulations, the results demonstrated that the reinforcement learning control strategy derived from the road-electromagnetic-mechanical model outperforms the other two control strategies, exhibiting commendable resilience and adaptability across diverse road surfaces and velocities. This study unveiled the potential of RL methods in enhancing riding comfort through active suspension control.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"57 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Structural analysis of the dynamic response of a shape memory alloy based damper","authors":"Frédéric Thiebaud, Tarak Ben Zineb","doi":"10.1177/10775463241263374","DOIUrl":"https://doi.org/10.1177/10775463241263374","url":null,"abstract":"Shape memory alloys (SMAs) are promising candidates for use in sensors, actuators, or passive dampers. This paper investigates the dynamic response of a superelastic NiTi holed disk to assess its damping performance relative to frequency and temperature for SMA-based damper applications. This study involved several key steps. Initially, the superelastic behavior of the SMA was experimentally characterized through tensile tests. This testing campaign provided the required data to identify material parameters of a thermomechanical constitutive model, already implemented in the finite element code Abaqus. Using the identified parameters, a finite element based structural analysis was conducted to predict the disk’s operational range, ensuring it remained within the superelastic domain without incurring potential damage. Following this static analysis, a dynamic mechanical analysis (DMA) was performed on the disk. By employing a complex stiffness approach, we further examined the disk’s damping effects. This dynamic method enabled a detailed description of the apparent stiffness and damping characteristics based on solicitation frequency, test temperature, vibration amplitude, and a predefined static displacement. The results indicated a clearly predominant structural effect over the phase transformation effect, despite the disk’s substantial damping potential.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"166 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}