Journal of Sound and Vibration最新文献

{"title":"On the numerical prediction of added damping and added mass of vibrating disc-like structures in heavy fluids","authors":"Karim Khalfaoui ,&nbsp;Greco Moraga ,&nbsp;Julian Bareis ,&nbsp;Marco Zorn ,&nbsp;Alexandre Presas ,&nbsp;David Valentín ,&nbsp;Stefan Riedelbauch","doi":"10.1016/j.jsv.2025.119305","DOIUrl":"10.1016/j.jsv.2025.119305","url":null,"abstract":"<div><div>Disk-like structures are common in hydraulic turbomachinery. These structures are prone to near-resonant vibrations. Accurately determining their modal parameters, however, is not a trivial task. Due to the submersion in a heavy, viscous fluid, the inertia and damping of the structure are significantly influenced by the fluid added mass and damping. As a step towards accurate vibration prediction, the added damping and mass of a vibrating, water-submerged disc with a variable axial distance from a rigid wall is numerically investigated. First, a computation approach of the added mass and added damping is derived based on the vibration-induced fluid reaction force. Using this approach, requirements on numerical flow simulation for accurate added damping prediction and related uncertainties are identified by validation against experimental results. Next, the numerical flow field is analyzed, exposing the vibration-induced fluid phenomena. Additionally, we propose a methodology to study the mechanisms of the added mass and added damping effects and their transfer from fluid to structure. As a result, a numerical configuration that accurately predicts the added mass and added damping in both trend and magnitude for a set of vibration modes, vibration amplitudes, and axial gap sizes is presented for the disc system. Moreover, the cause of the nonlinear behavior of the added damping force is revealed. We demonstrate that the phase lead of the fluid reaction force with respect to the structural oscillations increases with rising vibration amplitude, implying that both the added mass and added damping depend on the vibration level of the system.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119305"},"PeriodicalIF":4.3,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Advection Boundary Law in presence of mean flow and plane wave excitation: Passivity, nonreciprocity and enhanced noise transmission attenuation","authors":"E. De Bono ,&nbsp;M. Collet ,&nbsp;M. Ouisse ,&nbsp;E. Salze ,&nbsp;M. Volery ,&nbsp;H. Lissek ,&nbsp;J. Mardjono","doi":"10.1016/j.jsv.2025.119293","DOIUrl":"10.1016/j.jsv.2025.119293","url":null,"abstract":"<div><div>This paper follows a previous publication, where the so-called Advection Boundary Law lining an acoustic waveguide, in absence of mean flow, was studied in terms of its potentials for noise isolation and non-reciprocal propagation. The Advection Boundary Law is a special operator which can be synthesized on the boundary of a waveguide thanks to a programmable Electroacoustic Liner. This special boundary operator proved to achieve enhanced noise isolation with respect to classical local impedance. Moreover, it demonstrated to accomplish non-reciprocal sound propagation along the waveguide, and the non-trivial passivity limits were assessed. Nevertheless, acoustic liners are meant to attenuate noise propagation in waveguides with airflow, such as heating and air-conditioning ventilation systems and aircraft turbofan engines. In particular, the new generation of Ultra-High-By-Pass-Ratio turbofans and the increasingly stringent regulations on aircraft noise pollution, require a significant breakthrough in the acoustic liner technology. This challenge was taken up by the SALUTE H2020 project, during which the experimental campaign reported in this paper was conducted. For the first time, the Advection Boundary Law interfacing an airflow is thoroughly analysed in terms of duct-modes and scattering simulations. The enhancement of isolation performances is confirmed also in presence of mean-flow. Moreover, for the first time, non-reciprocal propagation along the waveguide is achieved against the one naturally induced by the mean-flow. These results, along with the passivity limits, are discussed and confirmed by the experimental campaign, conducted on the CAIMAN test-bench of the Laboratory of Fluid Mechanics and Acoustics of the Ecole Centrale de Lyon. The tools and results provided in this paper should lead the implementation of the Advection Boundary Law for maximizing noise isolation or achieving non-reciprocal sound propagation along waveguides with airflow.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119293"},"PeriodicalIF":4.3,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 novel online identification approach for distributed dynamic load based on signal separation and improved Kalman filter algorithm","authors":"Hongzhi Tang ,&nbsp;Jinhui Jiang ,&nbsp;Fang Zhang ,&nbsp;Lei Kan","doi":"10.1016/j.jsv.2025.119308","DOIUrl":"10.1016/j.jsv.2025.119308","url":null,"abstract":"<div><div>Distributed dynamic loads are commonly encountered in engineering applications. The identification of such loads, especially time-space coupled distributed dynamic loads, is an emerging area of research. Accurately representing these loads requires capturing the load’s time history across all degrees of freedom of the structure, which can be an extremely labor-intensive task. To address this challenge, this paper proposes a novel method for dimensionality reduction of time-space coupled distributed dynamic loads using Principal Component Analysis (PCA), where the load is represented as the sum of several load principal components. The identification process begins with the application of the Algorithm for Multiple Unknown Signal Extraction (AMUSE) to extract the load distribution matrix. An improved Kalman filter algorithm is then employed for the online identification of the time functions corresponding to the principal components. Sparse regularization is applied to obtain the spatial functions of these components. Finally, the distributed dynamic load is reconstructed by combining the time and spatial functions. In addition, the necessary conditions, computational complexity, and other characteristics of the proposed method are discussed in detail. Numerical results show that the method can accurately identify distributed dynamic load even under noise interference. For complex loading scenarios, the method is still able to produce accurate equivalent loads that replicate the structural response of the actual loads.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119308"},"PeriodicalIF":4.3,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144517700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feynman–Kac-RBFNN for the stochastic analysis of Bouc–Wen hysteretic systems","authors":"Zi Yuan ,&nbsp;Lincong Chen ,&nbsp;Jian-Qiao Sun ,&nbsp;Jiamin Qian","doi":"10.1016/j.jsv.2025.119255","DOIUrl":"10.1016/j.jsv.2025.119255","url":null,"abstract":"<div><div>Hysteretic systems are fundamental in engineering, yet their stochastic response analysis remains a significant challenge due to the additional partial differential equations (PDEs) introduced by hysteresis. This paper investigates the application of a Feynman–Kac-based Radial Basis Function Neural Network (RBFNN) method for analyzing the stochastic response of Bouc–Wen hysteretic systems. By reformulating the Fokker–Planck (FPK) equation via the Feynman–Kac framework, the PDE is transformed into an integral form, eliminating high-order derivative computations typical in conventional RBFNN approaches. Additionally, short-time Gaussian approximation (STGA) is employed to derive analytical expressions for stochastic expectations. Building on existing RBFNN techniques, this study incorporates an inscribed spherical sampling strategy to efficiently solve for the trial solution weights. Numerical experiments on Bouc–Wen systems with both softening and hardening characteristics validate the method, showing strong agreement with Monte Carlo Simulations (MCS) in both marginal and joint probability density functions (PDFs). The results reveal bimodal distributions in the softening case, highlighting complex non-Gaussian stochastic dynamics. The framework reduces computational cost while maintaining considerable accuracy, offering a practical and efficient approach for nonlinear stochastic dynamics in engineering applications.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119255"},"PeriodicalIF":4.3,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting tipping phenomenon in a conceptual airfoil structure under extreme flight environment","authors":"Jinzhong Ma ,&nbsp;Dengyan Li ,&nbsp;Ruifang Wang ,&nbsp;Qi Liu ,&nbsp;Yong Xu ,&nbsp;Tomasz Kapitaniak ,&nbsp;Jürgen Kurths","doi":"10.1016/j.jsv.2025.119306","DOIUrl":"10.1016/j.jsv.2025.119306","url":null,"abstract":"<div><div>This paper investigates the tipping phenomenon in a conceptual airfoil system subjected to both periodic excitation and extreme random loads modeled by non-Gaussian Lévy noise. Firstly, the effects of main parameters of Lévy noise on the tipping phenomenon are uncovered. It is found that an increased noise intensity or a reduced stability index can induce the tipping phenomenon to take place before the bifurcation point of the corresponding deterministic system. Moreover, large rises and jumps in Lévy noise can more easily lead to catastrophic high-amplitude oscillations than the ideal Gaussian white noise. Then, the residence probability of the airfoil system remaining in high-amplitude oscillations is given to further quantify the likelihood of the tipping phenomenon induced by Lévy noise. To realize the prediction of these catastrophic high-amplitude oscillations, a concept of the high-risk region is defined based on the residence probability. Finally, the ranges of the related parameters, where Lévy noise-induced tipping phenomenon may occur, are approximately quantified. These findings may provide theoretical guidance for engineers in preventing catastrophic tipping phenomena in airfoil structures, thereby enhancing the safety of aircraft operations in extreme environments.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119306"},"PeriodicalIF":4.3,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiple scattering field and derived acoustic interaction force and torque for multiple non-spherical axisymmetric objects","authors":"Tianquan Tang ,&nbsp;Yumin Zhang ,&nbsp;Yanming Zhang ,&nbsp;Lixi Huang","doi":"10.1016/j.jsv.2025.119285","DOIUrl":"10.1016/j.jsv.2025.119285","url":null,"abstract":"<div><div>While analytical theories exist for the acoustic radiation force and torque on single irregular geometries, dealing with multiple objects subject to non-orthogonal and inseparable boundary conditions remains a challenge. Here, we present a calculation method to formulate the interaction effects of multiple axisymmetric geometries with irregular cross-section excited by a time-harmonic external wave in the inviscid fluid. The approach utilizes the translation addition theorem to incorporate the interaction effects among different objects and the conformal transformation approach to capture the non-spherical geometric features. This facilitates the separation of variables for solving the corresponding Helmholtz wave equation, subject to spherical boundary conditions in the mapping coordinate system. As a result, the multiple scattering fields can be determined. Subsequently, the acoustic interaction force and torque can be derived using the scattered pressure field. The validity of the method is demonstrated through comparisons with numerical simulations based on finite element method across a wide range of frequencies and various geometric combinations. The proposed method shows strong agreement with the traditional finite element method while requiring much less computational time.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119285"},"PeriodicalIF":4.3,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crowdsensing-based bridge vibration monitoring using a sparse network of random mobile sensors: Theory and numerical verifications","authors":"Mohammad Talebi-Kalaleh,&nbsp;Mustafa Gül,&nbsp;Qipei Mei","doi":"10.1016/j.jsv.2025.119289","DOIUrl":"10.1016/j.jsv.2025.119289","url":null,"abstract":"<div><div>Vibration monitoring of bridges is essential for the safety and maintenance of transportation infrastructure. Traditional methods rely on placing sensors directly on bridges, a process that is often costly and difficult to scale. An emerging alternative involves utilizing sensors mounted within vehicles as they traverse the bridge. However, this approach often faces challenges with continuous monitoring due to the limited time vehicles spend on the structure. This paper presents a novel framework for predicting bridge responses and identifying its modal characteristics through the crowdsensing of sparse vibration data from a network of vehicles traversing the bridge. The framework employs vehicles’ body accelerations and positional data to estimate bridge responses at distributed virtual fixed sensing nodes (VFSNs). By randomly selecting some vehicles as sensing agents at sequential timestamps, it ensures a reliable and continuous flow of data. Additionally, the framework mitigates the influence of road roughness and vehicle dynamics by utilizing residual contact-point responses between the rear and front axles of the sensing vehicles. Simulations of a three-span bridge under realistic traffic conditions, including road roughness and vehicle–bridge interaction, were conducted to validate the framework’s accuracy. Despite an 80% data missing rate and relying on only two sensing agents along with 17 VFSNs, the framework successfully identified the first three modes of the bridge with MAC values above 95% and natural frequencies with relative errors below 3%. Response predictions showed an accuracy exceeding 70%. Various factors were investigated, including traffic speed, the number of sensing agents and VFSNs, ambient noise effects, and the impact of the random vehicle selection process. The results confirmed the robustness of the framework against ambient noise and randomness in sensing agent selection. The optimal configuration was identified as two sensing agents and 17 VFSNs.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119289"},"PeriodicalIF":4.3,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wave propagation in beams with multiple resonators: Conditions for weak scattering and the Born approximation","authors":"Mario Lázaro ,&nbsp;Richard Wiltshaw ,&nbsp;Richard V. Craster ,&nbsp;Vicent Romero-García","doi":"10.1016/j.jsv.2025.119277","DOIUrl":"10.1016/j.jsv.2025.119277","url":null,"abstract":"<div><div>We investigate the conditions necessary for weak scattering in a beam loaded by multiple resonators that support both longitudinal and flexural waves. Using a Green’s matrix approach we derive the equations of motion of a one-dimensional elastic waveguide with several point resonators, for any resonator morphology modeled by the transfer matrix method, even when considering the resonators to have any number of natural frequencies. The methodology is based on multiple scattering theory, expressing the response as an infinite series whose convergence is closely linked to the scattering intensity provided by the resonators. The convergence conditions are reduced to the study of the spectral radius of the scattering matrix. Furthermore, the leading order of the multiple scattering expansion is associated with the Born approximation. The results offer approximate expressions for the spectral radius, providing a clear physical interpretation of weak scattering. Several numerical examples are presented to validate the proposed approach, demonstrating its effectiveness and applicability.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119277"},"PeriodicalIF":4.3,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretable damage sensitive feature extraction for drive-by structural health monitoring using knowledge distillation-based deep learning","authors":"Zhen Peng ,&nbsp;Jun Li ,&nbsp;Yue Zhong ,&nbsp;Hong Hao","doi":"10.1016/j.jsv.2025.119303","DOIUrl":"10.1016/j.jsv.2025.119303","url":null,"abstract":"<div><div>Drive-by Structural Health Monitoring (SHM) has the potential to effectively monitor the health conditions of bridges within transportation networks at a low cost. However, how to extract damage features from the drive-by measurements that are sensitive to changes in structural conditions while being robust to variations in vehicle loading scenarios and operational conditions is still an open question. This paper leverages advanced deep learning and knowledge distillation techniques to extract reliable damage-sensitive features from drive-by measurements in a supervised manner. To accomplish this, the proposed deep learning network is trained using thousands of drive-by measurements collected under various conditions, including different vehicle speeds, weights, directions, and structural damage states. This study includes an analysis of the network's intermediate layer outputs, numerical results from a finite element (FE) model of the test bridge, and theoretical derivations to interpret the physical significance of the learned damage features. The knowledge gained from this deep learning network subsequently informs and guides the theoretical development of generally applicable damage-sensitive features for drive-by SHM. In particular, this research work evidences that, in future drive-by SHM studies, more attention should be paid to the low-frequency driving speed-related component, instead of the conventional methods that focus on separating and extracting damage features from the bridge modal vibration related component of the drive-by measurement.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119303"},"PeriodicalIF":4.3,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144517129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduced-order modeling for dispersion analysis of elastic waveguides coupled to arrays of nonlinear systems","authors":"Said Quqa,&nbsp;Alessandro Marzani,&nbsp;Antonio Palermo","doi":"10.1016/j.jsv.2025.119256","DOIUrl":"10.1016/j.jsv.2025.119256","url":null,"abstract":"<div><div>This work introduces a reduced-order modeling (ROM) approach for deriving the dispersion relation of elastic waveguides hosting an array of nonlinear resonating systems with multiple degrees of freedom. The ROM is constructed using the invariant manifold method, which captures the effects of nonlinear restoring forces from secondary “slave” modes as functions of the displacement and velocity coordinates of a selected “master” mode. This enables the efficient computation of the transfer function of the resonating system and its coupling with the waveguide to compute the wave dispersion relation. The results demonstrate that incorporating mode interactions through the ROM provides accurate estimates of the behavior of the full nonlinear model, ensuring accurate prediction of the dispersion relation while maintaining computational efficiency. Conversely, neglecting mode interactions would lead to significant errors in both resonator response and waveguide dispersion estimation, potentially resulting in suboptimal metamaterial design. The proposed approach provides a robust framework for designing nonlinear metamaterials with complex resonator configurations.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"618 ","pages":"Article 119256"},"PeriodicalIF":4.3,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}