Pub Date : 2026-03-19DOI: 10.1016/j.ymssp.2026.114142
Bo Zhang, Wei Teng, Dikang Peng, ShaoFeng Han, Yibing Liu
{"title":"Inverse modeling with physical constraints and uncertainty correction for mesh stiffness identification in gear crack fault","authors":"Bo Zhang, Wei Teng, Dikang Peng, ShaoFeng Han, Yibing Liu","doi":"10.1016/j.ymssp.2026.114142","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114142","url":null,"abstract":"","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"16 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-18DOI: 10.1016/j.ymssp.2026.114171
Robin Volkmar, Keith Soal, Marcus Baum, Marc Böswald
{"title":"Robust online monitoring of aircraft modal parameters using data fusion-based mode tracking","authors":"Robin Volkmar, Keith Soal, Marcus Baum, Marc Böswald","doi":"10.1016/j.ymssp.2026.114171","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114171","url":null,"abstract":"","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"92 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-17DOI: 10.1016/j.ymssp.2026.114145
Aalokeparno Dhar, Matthew R.W. Brake
Bolted connections are ubiquitous in mechanical and aerospace engineering. However, these connections introduce significant uncertainties in vibration responses. The primary source of uncertainty in a jointed connection is due to manufacturing tolerances resulting in a non-flat interface. Topological features on the order of 50μm can significantly affect the natural frequency and damping capacity of a large-scale structure, even shifting linear natural frequencies by 10%. With recent improvements in physics-based modeling of jointed structures, it is now possible to robustly optimize the topology of a jointed interface to be insensitive to manufacturing variability. The present work presents a novel framework for the robust optimization of a jointed interface. The framework is demonstrated on a three-bolt lap joint benchmark structure commonly referred to as the Brake–Reußbeam. The gap profiles arising from manufacturing imperfections were measured from existing joint specimens and approximated using analytical sinusoidal expressions. These representations were employed to perturb baseline interface designs in the context of robust optimization. Based on sensitivity analysis and optimization results, two candidate interface topologies were selected for fabrication. Experimental testing of these manufactured interfaces demonstrates that the proposed approach enables the design of predictable joint behavior that is robust to mesoscale manufacturing deviations. Overall, this study highlights the influence of machining-induced variability on the dynamic response of jointed structures and presents a viable pathway to mitigate its effects through informed surface design.
{"title":"Designing out manufacturing uncertainty: Interface topology optimization for lap joint structures","authors":"Aalokeparno Dhar, Matthew R.W. Brake","doi":"10.1016/j.ymssp.2026.114145","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114145","url":null,"abstract":"Bolted connections are ubiquitous in mechanical and aerospace engineering. However, these connections introduce significant uncertainties in vibration responses. The primary source of uncertainty in a jointed connection is due to manufacturing tolerances resulting in a non-flat interface. Topological features on the order of <mml:math altimg=\"si1.svg\" display=\"inline\"><mml:mrow><mml:mn>50</mml:mn><mml:mspace width=\"0.33em\"></mml:mspace><mml:mi mathvariant=\"normal\">μ</mml:mi><mml:mi mathvariant=\"normal\">m</mml:mi></mml:mrow></mml:math> can significantly affect the natural frequency and damping capacity of a large-scale structure, even shifting linear natural frequencies by 10%. With recent improvements in physics-based modeling of jointed structures, it is now possible to robustly optimize the topology of a jointed interface to be insensitive to manufacturing variability. The present work presents a novel framework for the robust optimization of a jointed interface. The framework is demonstrated on a three-bolt lap joint benchmark structure commonly referred to as the Brake–Reußbeam. The gap profiles arising from manufacturing imperfections were measured from existing joint specimens and approximated using analytical sinusoidal expressions. These representations were employed to perturb baseline interface designs in the context of robust optimization. Based on sensitivity analysis and optimization results, two candidate interface topologies were selected for fabrication. Experimental testing of these manufactured interfaces demonstrates that the proposed approach enables the design of predictable joint behavior that is robust to mesoscale manufacturing deviations. Overall, this study highlights the influence of machining-induced variability on the dynamic response of jointed structures and presents a viable pathway to mitigate its effects through informed surface design.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"44 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Conventional source identification methods for rotating machinery are generally formulated in the frequency domain under the assumption of steady or quasi-steady sources, which limits their ability to resolve temporally evolving source behaviour. Time-domain approaches such as the rotating source identifier and virtual rotating arrays allow source localization at individual time instances but are often inadequate for quantifying the evolving strength of unsteady rotating sources. In this study, a time-domain inverse method is developed based on the integral solution of the Ffowcs Williams–Hawkings equation with quadrupole source terms being neglected. An equivalent source model is employed to establish a time-resolved mapping between measured acoustic pressures and source strengths. A mixed-norm regularization scheme is introduced to incorporate prior knowledge of the spatiotemporal characteristics of the source field, enabling stable and accurate reconstruction of time-varying source strengths. The method is validated through numerical simulations over a range of rotational speeds and signal-to-noise ratios, as well as the rotor noise experiments of an unmanned aerial vehicle conducted in a semi-anechoic chamber. The results demonstrate that the method can localize rotor noise sources, capture their temporal evolution, and accurately predict radiated sound fields across a range of operating conditions.
{"title":"A mixed-norm regularized time-domain inverse framework for localizing and quantifying rotor noise sources","authors":"Ying Xu, Zhonghua Peng, Damiano Casalino, Xiaozheng Zhang, Yunjin Tong, Chuanxing Bi, Shiying Xiong","doi":"10.1016/j.ymssp.2026.114146","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114146","url":null,"abstract":"Conventional source identification methods for rotating machinery are generally formulated in the frequency domain under the assumption of steady or quasi-steady sources, which limits their ability to resolve temporally evolving source behaviour. Time-domain approaches such as the rotating source identifier and virtual rotating arrays allow source localization at individual time instances but are often inadequate for quantifying the evolving strength of unsteady rotating sources. In this study, a time-domain inverse method is developed based on the integral solution of the Ffowcs Williams–Hawkings equation with quadrupole source terms being neglected. An equivalent source model is employed to establish a time-resolved mapping between measured acoustic pressures and source strengths. A mixed-norm regularization scheme is introduced to incorporate prior knowledge of the spatiotemporal characteristics of the source field, enabling stable and accurate reconstruction of time-varying source strengths. The method is validated through numerical simulations over a range of rotational speeds and signal-to-noise ratios, as well as the rotor noise experiments of an unmanned aerial vehicle conducted in a semi-anechoic chamber. The results demonstrate that the method can localize rotor noise sources, capture their temporal evolution, and accurately predict radiated sound fields across a range of operating conditions.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"11 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-16DOI: 10.1016/j.ymssp.2026.114150
John Mottershead
{"title":"Eulogy – Professor Dr.-Ing. Michael Link","authors":"John Mottershead","doi":"10.1016/j.ymssp.2026.114150","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114150","url":null,"abstract":"","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"27 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the asymmetric evolution of local spalling defects on the outer ring of Si3N4 ceramic bearings and proposes a defect-geometry evolution model incorporating the tilt angle and an asymmetry quantification parameter. A coupled geometric–dynamic modeling framework is developed by integrating the proposed evolution model with a three-stage displacement excitation function, enabling accurate characterization of the entry, traversal, and exit behaviors of rolling elements across the defect. Simulation results demonstrate that asymmetric evolution gives rise to uneven impact amplitudes and modulation sidebands in the frequency domain, whereas symmetric evolution produces only uniform periodic impacts. The predicted tilt angle and asymmetry parameter show strong agreement with experimental measurements, effectively reproducing both the geometric evolution trend and the associated vibration characteristics under various operating conditions. The findings indicate that incorporating asymmetric evolution significantly enhances the physical fidelity of ceramic bearing fault modeling and improves the interpretability of vibration features, offering important benefits for early fault diagnosis.
{"title":"Modeling approach for asymmetric evolution of outer-race defects in ceramic bearings and analysis of vibration signal characteristics","authors":"Shenghao Tong, Hongxin Shao, Huaitao Shi, Zhongxian Xia, Yuhou Wu, Xulong Zheng","doi":"10.1016/j.ymssp.2026.114144","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114144","url":null,"abstract":"This study investigates the asymmetric evolution of local spalling defects on the outer ring of Si<ce:inf loc=\"post\">3</ce:inf>N<ce:inf loc=\"post\">4</ce:inf> ceramic bearings and proposes a defect-geometry evolution model incorporating the tilt angle and an asymmetry quantification parameter. A coupled geometric–dynamic modeling framework is developed by integrating the proposed evolution model with a three-stage displacement excitation function, enabling accurate characterization of the entry, traversal, and exit behaviors of rolling elements across the defect. Simulation results demonstrate that asymmetric evolution gives rise to uneven impact amplitudes and modulation sidebands in the frequency domain, whereas symmetric evolution produces only uniform periodic impacts. The predicted tilt angle and asymmetry parameter show strong agreement with experimental measurements, effectively reproducing both the geometric evolution trend and the associated vibration characteristics under various operating conditions. The findings indicate that incorporating asymmetric evolution significantly enhances the physical fidelity of ceramic bearing fault modeling and improves the interpretability of vibration features, offering important benefits for early fault diagnosis.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"58 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Permanent magnet coupling (PMC) enables noncontact power transmission through the magnetic field in a shaft system and has great application potential in the ship field. However, the anisotropic magnetic stiffness of the PMC is coupled with each other. The traditional analysis method of vibration characteristics considers only the stiffness in a single direction and disregards the coupling effect of the anisotropic stiffness, which leads to inaccurate analysis of vibration energy transfer and restricts the design of the PMC with high vibration reduction characteristics. In this paper, considering the coupling effect of anisotropic magnetic stiffness, a magnetic‒dynamic joint analysis method (MDJAM) is proposed. A three-dimensional (3D) magnetic force model of the PMC is constructed, and the fluctuation values of the force and torque are calculated according to the changes of offset and deflection angle. The influence factors of each matrix element in the stiffness matrix are calculated via an energy ratio method, and anisotropic magnetic stiffness that has a significant impact is screened via comparing with the threshold, and the equivalent stiffness matrix is constructed. The dynamic model of magnetic‒solid coupling rotor is constructed in light of the strong coupling effect of anisotropic magnetic stiffness, and the natural frequency and vibration level difference of the PMC are calculated by using the equivalent stiffness matrix as input. The experimental results show that this method can accurately analyze the vibration energy transfer of the PMC, and provide guidance for the optimal design of magnetic components with high vibration reduction characteristics.
{"title":"Vibration reduction analysis method for permanent magnet coupling considering anisotropic magnetic stiffness coupling effect","authors":"Yangyang Li, Wei Liu, Mengde Zhou, Xikang Cheng, Weiqi Luo, Hongren Jiang","doi":"10.1016/j.ymssp.2026.114156","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114156","url":null,"abstract":"Permanent magnet coupling (PMC) enables noncontact power transmission through the magnetic field in a shaft system and has great application potential in the ship field. However, the anisotropic magnetic stiffness of the PMC is coupled with each other. The traditional analysis method of vibration characteristics considers only the stiffness in a single direction and disregards the coupling effect of the anisotropic stiffness, which leads to inaccurate analysis of vibration energy transfer and restricts the design of the PMC with high vibration reduction characteristics. In this paper, considering the coupling effect of anisotropic magnetic stiffness, a magnetic‒dynamic joint analysis method (MDJAM) is proposed. A three-dimensional (3D) magnetic force model of the PMC is constructed, and the fluctuation values of the force and torque are calculated according to the changes of offset and deflection angle. The influence factors of each matrix element in the stiffness matrix are calculated via an energy ratio method, and anisotropic magnetic stiffness that has a significant impact is screened via comparing with the threshold, and the equivalent stiffness matrix is constructed. The dynamic model of magnetic‒solid coupling rotor is constructed in light of the strong coupling effect of anisotropic magnetic stiffness, and the natural frequency and vibration level difference of the PMC are calculated by using the equivalent stiffness matrix as input. The experimental results show that this method can accurately analyze the vibration energy transfer of the PMC, and provide guidance for the optimal design of magnetic components with high vibration reduction characteristics.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"105 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Large-scale bearings are widely used in wind turbines, tunnel boring machines, rolling mills, and other applications. The load status of large-scale bearings directly determines the operational stability and service life of the equipment. The traditional method of affixing strain gauges to the outer ring fails to realize overall load condition monitoring of the bearing. To solve the load condition monitoring problem of large-scale bearings, this paper proposed a method for monitoring the conditions of the roller and bearing using a smart roller. The smart roller primarily consists of a sensing system, a lithium battery, and a wireless data transmission module. The smart roller can sense the contact pressure in the line contact area through the strain gauge adhered to the inner wall of the hollow roller and achieve wireless signal transmission. The deformation of hollow rollers contains contact deformation and bending deformation. The equivalent elastic modulus of hollow rollers can be calculated using Hertz contact theory and the Energy method. The deformation and load distribution of hollow rollers can be calculated using the equivalent elastic modulus. Training the finite element simulation deformation dataset can obtain a nonlinear fitting algorithm for roller deformation. Fitting the deformation values of the measured data by the trained algorithm can obtain the roller deformation values. The static calibration experiment results show that the smart roller has a high linearity under different loads. To determine the dynamic monitoring characteristics of the rollers, the planar thrust cylindrical roller bearing experiment bench is established. A cosine fit can be performed on the roller load distribution on different roller positions to determine the bearing’s load distribution. The deformation value of the rollers at the maximum bias load position of the bearing can be analyzed to determine the bias load angle and position of the bearing under different working conditions. When the rotation speed is 60 rpm and the load is 240 kN on the plain thrust cylindrical roller bearing, the bias load occurs at the position of 139° with a bias load angle of 0.0359°. The acquired data can also be fitted to determine the slip rate of rollers. Strain gauge information within the smart roller enables determination of the slip rate and load distribution of the roller, as well as the load distribution and bias load of bearing conditions. This method is of great significance for studying the mechanical behavior of bearings, predicting fatigue life, optimizing structural design, enhancing reliability, and digital twins.
{"title":"Load condition monitoring of the large-scale bearing via smart roller","authors":"Pan Zhang, Yuanyue Pu, Yuang Gao, Xiaoxi Ding, Xiaoxiang Li, Wenbin Huang","doi":"10.1016/j.ymssp.2026.114152","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114152","url":null,"abstract":"Large-scale bearings are widely used in wind turbines, tunnel boring machines, rolling mills, and other applications. The load status of large-scale bearings directly determines the operational stability and service life of the equipment. The traditional method of affixing strain gauges to the outer ring fails to realize overall load condition monitoring of the bearing. To solve the load condition monitoring problem of large-scale bearings, this paper proposed a method for monitoring the conditions of the roller and bearing using a smart roller. The smart roller primarily consists of a sensing system, a lithium battery, and a wireless data transmission module. The smart roller can sense the contact pressure in the line contact area through the strain gauge adhered to the inner wall of the hollow roller and achieve wireless signal transmission. The deformation of hollow rollers contains contact deformation and bending deformation. The equivalent elastic modulus of hollow rollers can be calculated using Hertz contact theory and the Energy method. The deformation and load distribution of hollow rollers can be calculated using the equivalent elastic modulus. Training the finite element simulation deformation dataset can obtain a nonlinear fitting algorithm for roller deformation. Fitting the deformation values of the measured data by the trained algorithm can obtain the roller deformation values. The static calibration experiment results show that the smart roller has a high linearity under different loads. To determine the dynamic monitoring characteristics of the rollers, the planar thrust cylindrical roller bearing experiment bench is established. A cosine fit can be performed on the roller load distribution on different roller positions to determine the bearing’s load distribution. The deformation value of the rollers at the maximum bias load position of the bearing can be analyzed to determine the bias load angle and position of the bearing under different working conditions. When the rotation speed is 60 rpm and the load is 240 kN on the plain thrust cylindrical roller bearing, the bias load occurs at the position of 139° with a bias load angle of 0.0359°. The acquired data can also be fitted to determine the slip rate of rollers. Strain gauge information within the smart roller enables determination of the slip rate and load distribution of the roller, as well as the load distribution and bias load of bearing conditions. This method is of great significance for studying the mechanical behavior of bearings, predicting fatigue life, optimizing structural design, enhancing reliability, and digital twins.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"11 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-16DOI: 10.1016/j.ymssp.2026.114148
Anirudh Gullapalli, Carol Featherston, Abhishek Kundu
Ultrasonic inspection techniques have shown great promise for monitoring progressive damage in thin-walled structures. The ultrasonic signals contain damage fingerprints that can be used for assessment of structural damage and degradation. The signal features are inherently linked to the physical behaviour of fundamental guided wave modes. This study presents a novel signal reconstruction and modal identification approach for experimentally measured ultrasonic signals with composite waveguide dispersion models and harmonic wave propagation functions. The modal amplitudes and dispersion characteristics have been calibrated accurately using both a deterministic approach and a Bayesian joint parameter estimation technique. The latter quantifies the uncertainties in both experimental measurements and latent dispersion parameters. The modal identification is regularized by physics-informed models of waveguide dispersion. The reconstructed signals show excellent agreement with the experimental measurements over a broad frequency range. The calibrated parameters were subsequently used to investigate progressive structural degradation arising from displacement-controlled compressive fatigue loading. A probabilistic Bayesian joint parameter estimation framework effectively captured direction-specific signatures and quantified uncertainty in parameter estimation, revealing distinct directional and modal sensitivities to fatigue damage. This achievement underscores the efficacy and reliability of the calibrated ultrasonic guided wave modes as reliable identifiers of damage with potential for further description, characterization, and sentencing.
{"title":"Non-deterministic approach for identification and isolation of ultrasonic guided wave modes for structural health monitoring","authors":"Anirudh Gullapalli, Carol Featherston, Abhishek Kundu","doi":"10.1016/j.ymssp.2026.114148","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114148","url":null,"abstract":"Ultrasonic inspection techniques have shown great promise for monitoring progressive damage in thin-walled structures. The ultrasonic signals contain damage fingerprints that can be used for assessment of structural damage and degradation. The signal features are inherently linked to the physical behaviour of fundamental guided wave modes. This study presents a novel signal reconstruction and modal identification approach for experimentally measured ultrasonic signals with composite waveguide dispersion models and harmonic wave propagation functions. The modal amplitudes and dispersion characteristics have been calibrated accurately using both a deterministic approach and a Bayesian joint parameter estimation technique. The latter quantifies the uncertainties in both experimental measurements and latent dispersion parameters. The modal identification is regularized by physics-informed models of waveguide dispersion. The reconstructed signals show excellent agreement with the experimental measurements over a broad frequency range. The calibrated parameters were subsequently used to investigate progressive structural degradation arising from displacement-controlled compressive fatigue loading. A probabilistic Bayesian joint parameter estimation framework effectively captured direction-specific signatures and quantified uncertainty in parameter estimation, revealing distinct directional and modal sensitivities to fatigue damage. This achievement underscores the efficacy and reliability of the calibrated ultrasonic guided wave modes as reliable identifiers of damage with potential for further description, characterization, and sentencing.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"78 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-16DOI: 10.1016/j.ymssp.2026.114151
En-Guo Liu, Xuan-Chen Liu, J.C. Ji, Hu Ding
As a wide-band vibration reduction strategy, nonlinear energy sink (NES) has been a research hotspot in recent years. Although many theoretical studies have ignored the linear stiffness of NES, it is difficult to avoid the linear stiffness of NES in practical engineering. The vibration reduction efficiency of a NES is greatly affected by linear stiffness, which hinders the engineering application of NES. A non-smooth NES with piecewise cubic stiffness and piecewise linear stiffness is proposed. The mechanical model of the forced vibration of a linear oscillator coupled with a non-smooth NES is established. The vibration reduction performance of the non-smooth NES is investigated through theory, optimization and experiments. Compared with the smooth NES with linear stiffness, the non-smooth NES has better vibration reduction efficiency. The change of parameters will cause global bifurcation of non-smooth NES. The change of mass ratio has little effect on the vibration reduction efficiency of non-smooth NES. With the change of excitation intensity and linear stiffness, the non-smooth NES has better vibration reduction efficiency in most cases. Adjusting the size of piecewise gap can make the non-smooth NES adapt to more vibration conditions. The particle swarm optimization algorithm is used to optimize some parameters. Finally, the vibration control effect of non-smooth NES is verified in terms of mass ratio, excitation intensity and piecewise gap through experiments. This paper provides a new strategy to solve the problem of linear stiffness affecting the vibration reduction efficiency of NES.
{"title":"A non-smooth nonlinear energy sink","authors":"En-Guo Liu, Xuan-Chen Liu, J.C. Ji, Hu Ding","doi":"10.1016/j.ymssp.2026.114151","DOIUrl":"https://doi.org/10.1016/j.ymssp.2026.114151","url":null,"abstract":"As a wide-band vibration reduction strategy, nonlinear energy sink (NES) has been a research hotspot in recent years. Although many theoretical studies have ignored the linear stiffness of NES, it is difficult to avoid the linear stiffness of NES in practical engineering. The vibration reduction efficiency of a NES is greatly affected by linear stiffness, which hinders the engineering application of NES. A non-smooth NES with piecewise cubic stiffness and piecewise linear stiffness is proposed. The mechanical model of the forced vibration of a linear oscillator coupled with a non-smooth NES is established. The vibration reduction performance of the non-smooth NES is investigated through theory, optimization and experiments. Compared with the smooth NES with linear stiffness, the non-smooth NES has better vibration reduction efficiency. The change of parameters will cause global bifurcation of non-smooth NES. The change of mass ratio has little effect on the vibration reduction efficiency of non-smooth NES. With the change of excitation intensity and linear stiffness, the non-smooth NES has better vibration reduction efficiency in most cases. Adjusting the size of piecewise gap can make the non-smooth NES adapt to more vibration conditions. The particle swarm optimization algorithm is used to optimize some parameters. Finally, the vibration control effect of non-smooth NES is verified in terms of mass ratio, excitation intensity and piecewise gap through experiments. This paper provides a new strategy to solve the problem of linear stiffness affecting the vibration reduction efficiency of NES.","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"39 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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