Pub Date : 2026-03-01Epub Date: 2026-02-06DOI: 10.1016/j.ymssp.2026.113970
Leonardo Ferreira , Rafael Teloli , Emanuele De Bono , Morvan Ouisse
Among technologies available for active noise control, electroacoustic absorbers (EAs) are devices whose acoustic impedance can be controlled to match a desired target value. This control depends on the electromechanical properties of the loudspeaker used in constructing the EA, known as Thiele-Small parameters. As these properties can be affected by environmental factors, such as temperature and humidity, uncertainties in the parameters of loudspeaker model can introduce uncertainty into the control law itself. This work proposes the quantification of the uncertainties in the Thiele-Small parameters of EAs due to temperature variations using a Bayesian inference framework, along with the propagation of these uncertainties to key operational metrics, namely the frequency response function (FRF) and the normal absorption coefficient. The acoustic impedance of multiple EAs is measured using an impedance tube over a broad temperature range, from −10 °C to +50 °C, and a pole-residue model is used to identify the variation of the Thiele-Small parameters with temperature. Both the Metropolis–Hastings and the affine invariant ensemble sampling (AIES) algorithms are then employed to sample the posterior distribution of the Thiele-Small parameters, and their performances are compared. Metropolis–Hastings exhibited bias, underdispersion and convergence failure when estimating correlated parameters, whereas the ensemble sampler efficiently captured the full posterior at higher computational cost. Uncertainty propagation using the AIES-derived posteriors produced predictive intervals for the FRF and absorption coefficient that fully encompassed the experimental data.
{"title":"Quantification and propagation of uncertainties in electroacoustic absorbers due to temperature effects using Bayesian inference","authors":"Leonardo Ferreira , Rafael Teloli , Emanuele De Bono , Morvan Ouisse","doi":"10.1016/j.ymssp.2026.113970","DOIUrl":"10.1016/j.ymssp.2026.113970","url":null,"abstract":"<div><div>Among technologies available for active noise control, electroacoustic absorbers (EAs) are devices whose acoustic impedance can be controlled to match a desired target value. This control depends on the electromechanical properties of the loudspeaker used in constructing the EA, known as Thiele-Small parameters. As these properties can be affected by environmental factors, such as temperature and humidity, uncertainties in the parameters of loudspeaker model can introduce uncertainty into the control law itself. This work proposes the quantification of the uncertainties in the Thiele-Small parameters of EAs due to temperature variations using a Bayesian inference framework, along with the propagation of these uncertainties to key operational metrics, namely the frequency response function (FRF) and the normal absorption coefficient. The acoustic impedance of multiple EAs is measured using an impedance tube over a broad temperature range, from −10 °C to +50 °C, and a pole-residue model is used to identify the variation of the Thiele-Small parameters with temperature. Both the Metropolis–Hastings and the affine invariant ensemble sampling (AIES) algorithms are then employed to sample the posterior distribution of the Thiele-Small parameters, and their performances are compared. Metropolis–Hastings exhibited bias, underdispersion and convergence failure when estimating correlated parameters, whereas the ensemble sampler efficiently captured the full posterior at higher computational cost. Uncertainty propagation using the AIES-derived posteriors produced predictive intervals for the FRF and absorption coefficient that fully encompassed the experimental data.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113970"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135216","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 : 2026-03-01Epub Date: 2026-02-05DOI: 10.1016/j.ymssp.2026.113954
Jubin Lu , Shitang Ke , Jinghua Lin , Songye Zhu
Inerter dampers (IDs) exhibit unique performance in various vibration control problems in comparison with other passive dampers. Most existing IDs can only possess fixed inertance and damping coefficients once manufactured, limiting their practical applications and the realization of adaptive or semi-active control. In this paper, a novel variable inerter damper (VID) design with superior tuning capabilities for both inertance and damping coefficients is developed. Unlike existing VIDs, the new VID design enables continuous and separate tuning of inertance and damping coefficients, conforming to control optimization that often requires precise, continuous, and separate tuning of these two coefficients. Theoretical modeling and extensive laboratory experiments were conducted to verify the performance of the VID prototype under various working conditions. Experimental results confirmed a broad tuning range for both inertance and damping, which, to the best of the authors’ knowledge, presents a first ton-level prototype exhibiting such extensive adjustability. Moreover, the inertance and EM damping coefficients can be tuned independently through their respective adjustment mechanisms. The salient characteristics of the proposed VID will significantly improve the functionality and applicability of IDs.
{"title":"Novel variable inerter damper with independently tunable inertance and damping","authors":"Jubin Lu , Shitang Ke , Jinghua Lin , Songye Zhu","doi":"10.1016/j.ymssp.2026.113954","DOIUrl":"10.1016/j.ymssp.2026.113954","url":null,"abstract":"<div><div>Inerter dampers (IDs) exhibit unique performance in various vibration control problems in comparison with other passive dampers. Most existing IDs can only possess fixed inertance and damping coefficients once manufactured, limiting their practical applications and the realization of adaptive or semi-active control. In this paper, a novel variable inerter damper (VID) design with superior tuning capabilities for both inertance and damping coefficients is developed. Unlike existing VIDs, the new VID design enables continuous and separate tuning of inertance and damping coefficients, conforming to control optimization that often requires precise, continuous, and separate tuning of these two coefficients. Theoretical modeling and extensive laboratory experiments were conducted to verify the performance of the VID prototype under various working conditions. Experimental results confirmed a broad tuning range for both inertance and damping, which, to the best of the authors’ knowledge, presents a first ton-level prototype exhibiting such extensive adjustability. Moreover, the inertance and EM damping coefficients can be tuned independently through their respective adjustment mechanisms. The salient characteristics of the proposed VID will significantly improve the functionality and applicability of IDs.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113954"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134804","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 : 2026-03-01Epub Date: 2026-02-09DOI: 10.1016/j.ymssp.2026.113967
Hanqiao Sun , Jingfeng Lu , Jiawen Xu , Ruqiang Yan
Impedance signals for structural health monitoring are often sparse and difficult to acquire in damaged conditions. Increasing the damage categories would significantly reduce accuracy. In this study, we propose a Conv-Transformer model that is capable of multi-task structural health monitoring, addressing the complexities of small sample datasets while handling multiple fault detection tasks, including mass loss and bolt loosening. The model enhances feature extraction by combining convolutional layers and multi-head attention within the Transformer encoder, focusing on the relative location of the peaks and the local feature of each peak in the impedance signals. These advantages enable highly accurate multi-task SHM with small samples of impedance signals. The proposed model is first trained on a large amount of data in mixed conditions and then fine-tuned with small sample data for an eight-class fault classification task. Experimental results show that the model demonstrates strong learning ability and cross-condition transferability, achieving an accuracy of 92.12% for multi-task damage identification, a 4.49% improvement over a conventional Transformer baseline. The proposed method can be applied to health conditions identification of buildings, bridges, and trusses.
{"title":"Conv-Transformer based few-shot learning for highly accurate multi-task structural health monitoring via piezoelectric impedance","authors":"Hanqiao Sun , Jingfeng Lu , Jiawen Xu , Ruqiang Yan","doi":"10.1016/j.ymssp.2026.113967","DOIUrl":"10.1016/j.ymssp.2026.113967","url":null,"abstract":"<div><div>Impedance signals for structural health monitoring are often sparse and difficult to acquire in damaged conditions. Increasing the damage categories would significantly reduce accuracy. In this study, we propose a Conv-Transformer model that is capable of multi-task structural health monitoring, addressing the complexities of small sample datasets while handling multiple fault detection tasks, including mass loss and bolt loosening. The model enhances feature extraction by combining convolutional layers and multi-head attention within the Transformer encoder, focusing on the relative location of the peaks and the local feature of each peak in the impedance signals. These advantages enable highly accurate multi-task SHM with small samples of impedance signals. The proposed model is first trained on a large amount of data in mixed conditions and then fine-tuned with small sample data for an eight-class fault classification task. Experimental results show that the model demonstrates strong learning ability and cross-condition transferability, achieving an accuracy of 92.12% for multi-task damage identification, a 4.49% improvement over a conventional Transformer baseline. The proposed method can be applied to health conditions identification of buildings, bridges, and trusses.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113967"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146829","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 : 2026-03-01Epub Date: 2026-02-05DOI: 10.1016/j.ymssp.2026.113975
Penglong Li , Hongyan Guo , Yanran Liu , Qingyu Meng , Shuang Liang , Dongpu Cao , Hong Chen
Trajectory prediction in emergencies scenarios is crucial for autonomous driving. Yet vehicle motion signals in these situations are highly nonlinear and nonstationary, with complex temporal and dynamic dependencies. Because mainstream datasets mainly cover regular driving and omit emergencies, existing models can still achieve satisfactory performance under normal conditions even without explicitly modeling exteroceptive cues, kinematic signals, or semantic intentions. However, during highly nonstationary and dynamic processes such as sudden cut-in or emergency braking, these weakly dependent architectures reveal significant shortcomings in generalization and robustness. To address these challenges, this paper proposes RDI-Pred, a multi-source temporal prediction framework that integrates Risk–Dynamics–Intention synergy from the perspectives of time-series signal processing and dynamic system modeling. First, we build a risk-aware exteroceptive encoder that uses prior-enhanced risk attention for risk scoring. Furthermore, a tri-agent interaction micrograph is constructed among the ego vehicle(Ego), target vehicle(TV), and closest in-path vehicle (CIPV) to model localized spatiotemporal dependencies, thereby enabling early-stage perception of exteroceptive risks. Next, we design a multi-scale Dynamics encoder that captures motion dynamics at short, mid, and long horizons. A 1D-CNN with a sliding window extracts short-term transients, BiGRU (Bidirectional Gated Recurrent Unit) states describe mid-term behavior, and a BiLSTM (Bidirectional Long Short-Term Memory) with self-attention models long-term dependencies, yielding a robust dynamic prior for trajectory decoding. Finally, we add cut-in intention recognition auxiliary task to constrain and re-score multi-modal trajectory candidates in decoding, promoting intention-aligned trajectories and suppressing mismatched ones. On the large-scale ESP high-risk dataset, RDI-Pred surpasses MTR with +32.9% mAP, -44.0% minADE, -45.9% minFDE, and -46.6% MR, showing clear performance gains across all key metrics. The results confirm its accuracy and robustness under emergency high-risk conditions, offering a practical path toward zero-tolerance safety in autonomous driving. Our code will be made publicly available at https://github.com/penglo/RDI-Pred-Risk-Dynamics-Intention-Collaborative-Vehicle-Trajectory-Prediction-in-Emergency-Scenarios .
{"title":"RDI-Pred: Risk-aware and dynamics-enhanced trajectory prediction with intention guidance in emergency scenarios","authors":"Penglong Li , Hongyan Guo , Yanran Liu , Qingyu Meng , Shuang Liang , Dongpu Cao , Hong Chen","doi":"10.1016/j.ymssp.2026.113975","DOIUrl":"10.1016/j.ymssp.2026.113975","url":null,"abstract":"<div><div>Trajectory prediction in emergencies scenarios is crucial for autonomous driving. Yet vehicle motion signals in these situations are highly nonlinear and nonstationary, with complex temporal and dynamic dependencies. Because mainstream datasets mainly cover regular driving and omit emergencies, existing models can still achieve satisfactory performance under normal conditions even without explicitly modeling exteroceptive cues, kinematic signals, or semantic intentions. However, during highly nonstationary and dynamic processes such as sudden cut-in or emergency braking, these weakly dependent architectures reveal significant shortcomings in generalization and robustness. To address these challenges, this paper proposes RDI-Pred, a multi-source temporal prediction framework that integrates Risk–Dynamics–Intention synergy from the perspectives of time-series signal processing and dynamic system modeling. First, we build a risk-aware exteroceptive encoder that uses prior-enhanced risk attention for risk scoring. Furthermore, a tri-agent interaction micrograph is constructed among the ego vehicle(Ego), target vehicle(TV), and closest in-path vehicle (CIPV) to model localized spatiotemporal dependencies, thereby enabling early-stage perception of exteroceptive risks. Next, we design a multi-scale Dynamics encoder that captures motion dynamics at short, mid, and long horizons. A 1D-CNN with a sliding window extracts short-term transients, BiGRU (Bidirectional Gated Recurrent Unit) states describe mid-term behavior, and a BiLSTM (Bidirectional Long Short-Term Memory) with self-attention models long-term dependencies, yielding a robust dynamic prior for trajectory decoding. Finally, we add cut-in intention recognition auxiliary task to constrain and re-score multi-modal trajectory candidates in decoding, promoting intention-aligned trajectories and suppressing mismatched ones. On the large-scale ESP high-risk dataset, RDI-Pred surpasses MTR with +32.9% mAP, -44.0% minADE, -45.9% minFDE, and -46.6% MR, showing clear performance gains across all key metrics. The results confirm its accuracy and robustness under emergency high-risk conditions, offering a practical path toward zero-tolerance safety in autonomous driving. Our code will be made publicly available at https://github.com/penglo/RDI-Pred-Risk-Dynamics-Intention-Collaborative-Vehicle-Trajectory-Prediction-in-Emergency-Scenarios .</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113975"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134801","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}
Accurate and reliable estimation of bearing health conditions requires the construction of a suitable Health Indicator (HI). In this study, the Modified Total Harmonic Distribution (MTHD) health indicator is developed based on advanced frequency domain analysis to describe the bearing health status effectively. It has also been validated that MTHD demonstrated desirable properties of monotonicity, robustness, and trendability. To accurately identify the First Prediction Time (FPT), a linear combination of the mean and variance of the MTHD curve is employed. However, due to variations in operating conditions and loading, the degradation process of bearings may differ. As a result, a single fixed model cannot accurately characterize the occurrence of different degradation processes. To address this issue, an adaptive Wiener model is proposed. In this framework, the Remaining Useful Life (RUL) prediction is achieved using either an appropriate linear or nonlinear Wiener model selected through a model adaptive algorithm. Finally, the effectiveness of the proposed model is validated using the XJTU-SY bearing dataset as well as the laboratory’s own generated dataset.
{"title":"A novel frequency-domain health indicator for bearing RUL estimation using adaptive Wiener process degradation modeling","authors":"Afshin Nagheli, Mehrdad Poursina, Hossein Karimpour","doi":"10.1016/j.ymssp.2026.113955","DOIUrl":"10.1016/j.ymssp.2026.113955","url":null,"abstract":"<div><div>Accurate and reliable estimation of bearing health conditions requires the construction of a suitable Health Indicator (HI). In this study, the Modified Total Harmonic Distribution (MTHD) health indicator is developed based on advanced frequency domain analysis to describe the bearing health status effectively. It has also been validated that MTHD demonstrated desirable properties of monotonicity, robustness, and trendability. To accurately identify the First Prediction Time (FPT), a linear combination of the mean and variance of the MTHD curve is employed. However, due to variations in operating conditions and loading, the degradation process of bearings may differ. As a result, a single fixed model cannot accurately characterize the occurrence of different degradation processes. To address this issue, an adaptive Wiener model is proposed. In this framework, the Remaining Useful Life (RUL) prediction is achieved using either an appropriate linear or nonlinear Wiener model selected through a model adaptive algorithm. Finally, the effectiveness of the proposed model is validated using the XJTU-SY bearing dataset as well as the laboratory’s own generated dataset.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113955"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095827","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}
To address the risk of fire in tunnels, acoustic computed tomography (CT), is introduced for tunnel fire detection where the Simultaneous Algebraic Reconstruction Technique (SART) is used to reconstruct the ceiling temperature distribution in a tunnel with a heat release rate of 3.0 MW. The reconstruction of a selected area demonstrates that optimal results are achieved when the reconstructive grid is divided into cells with approximately equal length and width, densely distributed while avoiding overlap with effective acoustic paths. This optimal grid scheme is then applied to the entire ceiling area under the tunnel. Based on this, the ratio of acoustic transceiver spacing is further analyzed, which showed that the most economical spacing ratio is 4:1. By adopting the 4:1 strategy for the reconstruction of the entire tunnel ceiling area, the number of acoustic transceivers is reduced from 112 to 34, which greatly improves the economy and practicality of the program. Finally, two additional fire scenarios are investigated: one with dual symmetrical fire sources and another with a single biased fire source located off the tunnel centerline. The reconstruction under the dual-source scenario yields satisfactory results, further validating the effectiveness of the proposed approach. However, in the biased ignition case, near the fire source, a significant reduction in the number of effective acoustic paths is observed, which compromises the reconstruction accuracy. To address this, a Simulated Annealing (SA) algorithm is introduced to optimize the transceiver layout, and the results further confirm the robustness and adaptability of the proposed reconstruction strategy, providing a universal and high-precision optimization method for global monitoring of tunnel fires.
{"title":"Optimized acoustic computed tomography for monitoring urban road tunnel fire-induced ceiling temperatures using simulated annealing and SART","authors":"Zihe Gao, Xiaocui Wei, Huizhen Li, Yaqi Fan, Xinru Zhang","doi":"10.1016/j.ymssp.2026.113930","DOIUrl":"10.1016/j.ymssp.2026.113930","url":null,"abstract":"<div><div>To address the risk of fire in tunnels, acoustic computed tomography (CT), is introduced for tunnel fire detection where the Simultaneous Algebraic Reconstruction Technique (SART) is used to reconstruct the ceiling temperature distribution in a tunnel with a heat release rate of 3.0 MW. The reconstruction of a selected area demonstrates that optimal results are achieved when the reconstructive grid is divided into cells with approximately equal length and width, densely distributed while avoiding overlap with effective acoustic paths. This optimal grid scheme is then applied to the entire ceiling area under the tunnel. Based on this, the ratio of acoustic transceiver spacing is further analyzed, which showed that the most economical spacing ratio is 4:1. By adopting the 4:1 strategy for the reconstruction of the entire tunnel ceiling area, the number of acoustic transceivers is reduced from 112 to 34, which greatly improves the economy and practicality of the program. Finally, two additional fire scenarios are investigated: one with dual symmetrical fire sources and another with a single biased fire source located off the tunnel centerline. The reconstruction under the dual-source scenario yields satisfactory results, further validating the effectiveness of the proposed approach. However, in the biased ignition case, near the fire source, a significant reduction in the number of effective acoustic paths is observed, which compromises the reconstruction accuracy. To address this, a Simulated Annealing (SA) algorithm is introduced to optimize the transceiver layout, and the results further confirm the robustness and adaptability of the proposed reconstruction strategy, providing a universal and high-precision optimization method for global monitoring of tunnel fires.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113930"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072610","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 : 2026-03-01Epub Date: 2026-01-28DOI: 10.1016/j.ymssp.2026.113945
Hai-nan Guo, Hao-xiang He, Xiao-jian Gao, Xi-hang Han
Due to long-term load, environmental erosion and natural factors, bridge is prone to damage and degradation. As the key goal of structural health monitoring, damage identification is particularly important. To address the challenges of complex calculations, insufficient accuracy, and high sensor requirements in traditional curvature methods, a novel method based on the dynamic displacement curvature energy difference is proposed. First, through Euler-Bernoulli beam theory and frequency response function analysis, an analytical relationship between displacement responses in different frequency ranges and mode shapes is derived. It shows that displacement responses near the natural frequency are effective for identifying damage. Then, to simplify calculations and minimize interference from non-sensitive frequency bands, combining wavelet packet transform, a “two-step” damage identification process based on sensitive frequency band fusion is proposed: the frequency bands near the natural frequency are initially picked out, and the displacement of these bands are integrated to damage localization. Next, based on the localization results, effective frequency bands are refined and their dynamic displacement curvature energy difference are fused to form the comprehensive index for damage identification. Finally, the engineering feasibility of the method is verified through numerical simulation of continuous girder bridge and the real bridge damage test of Japan Old ADA Bridge. The results show that under random and vehicle load, this method can effectively identify single or multiple location damage, and it demonstrates good identification capability under sparse measurement points and noisy environments, showing broad application prospects.
{"title":"Energy difference of dynamic displacement curvature with frequency band selection for damage identification in bridges","authors":"Hai-nan Guo, Hao-xiang He, Xiao-jian Gao, Xi-hang Han","doi":"10.1016/j.ymssp.2026.113945","DOIUrl":"10.1016/j.ymssp.2026.113945","url":null,"abstract":"<div><div>Due to long-term load, environmental erosion and natural factors, bridge is prone to damage and degradation. As the key goal of structural health monitoring, damage identification is particularly important. To address the challenges of complex calculations, insufficient accuracy, and high sensor requirements in traditional curvature methods, a novel method based on the dynamic displacement curvature energy difference is proposed. First, through Euler-Bernoulli beam theory and frequency response function analysis, an analytical relationship between displacement responses in different frequency ranges and mode shapes is derived. It shows that displacement responses near the natural frequency are effective for identifying damage. Then, to simplify calculations and minimize interference from non-sensitive frequency bands, combining wavelet packet transform, a “two-step” damage identification process based on sensitive frequency band fusion is proposed: the frequency bands near the natural frequency are initially picked out, and the displacement of these bands are integrated to damage localization. Next, based on the localization results, effective frequency bands are refined and their dynamic displacement curvature energy difference are fused to form the comprehensive index for damage identification. Finally, the engineering feasibility of the method is verified through numerical simulation of continuous girder bridge and the real bridge damage test of Japan Old ADA Bridge. The results show that under random and vehicle load, this method can effectively identify single or multiple location damage, and it demonstrates good identification capability under sparse measurement points and noisy environments, showing broad application prospects.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113945"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072611","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 : 2026-03-01Epub Date: 2026-01-28DOI: 10.1016/j.ymssp.2026.113934
Yuanbin Mao, Shiyu Lu, Qingqing Liu, Ao Yin, Yuyang Zhang, Keyi Wang, Yu Zhang, Ruhan Guo, Ling Bu
Harvesting abundant wave energy for powering distributed marine sensors is the key to realizing Digital Ocean Strategy. Bi-stable energy harvesters are of superb low-frequency response, yet the stochastic ocean waves can hardly overcome the potential barrier, esp. the ultra-low excitations. Unlike previous works which physically or nonlinearly reduce the barrier on a specific two-dimensional potential energy function, this work devises a rotation-vibration coupled multi-stable energy harvester, which encompasses multiple potential energy functions forming a three-dimensional potential energy surface in the displacement-angle phase space. This potential energy surface offers alternative routes for energy track migration by varying the coupled rotation angle, which relieves the requisite of sufficiently high excitations. The energy track migration mechanism is theoretically explored, and the nonlinear dynamics associated with the potential energy surface are analyzed. In experimental verification, the device exhibits rich motion states and trajectories under different excitation conditions. Results show that under 0.4 g ultra-low excitation, the peak-to-peak voltage reaches 4.5 V, and the root-mean-square voltage reaches 1 V, demonstrating effective energy harvesting under weak excitations. A marine sensing prototype is realized by integrating the proposed multi-stable energy harvester with processing circuit and data acquisition unit. The prototype successfully collects and transmits temperature and position data in virtual marine environment, demonstrating practical applicability of the proposed device for self-powered marine sensing.
{"title":"Track migration on 3D potential energy surface via magnetically perturbed rotation to enhance multi-stable energy harvesting in weak ocean excitations","authors":"Yuanbin Mao, Shiyu Lu, Qingqing Liu, Ao Yin, Yuyang Zhang, Keyi Wang, Yu Zhang, Ruhan Guo, Ling Bu","doi":"10.1016/j.ymssp.2026.113934","DOIUrl":"10.1016/j.ymssp.2026.113934","url":null,"abstract":"<div><div>Harvesting abundant wave energy for powering distributed marine sensors is the key to realizing Digital Ocean Strategy. Bi-stable energy harvesters are of superb low-frequency response, yet the stochastic ocean waves can hardly overcome the potential barrier, esp. the ultra-low excitations. Unlike previous works which physically or nonlinearly reduce the barrier on a specific two-dimensional potential energy function, this work devises a rotation-vibration coupled multi-stable energy harvester, which encompasses multiple potential energy functions forming a three-dimensional potential energy surface in the displacement-angle phase space. This potential energy surface offers alternative routes for energy track migration by varying the coupled rotation angle, which relieves the requisite of sufficiently high excitations. The energy track migration mechanism is theoretically explored, and the nonlinear dynamics associated with the potential energy surface are analyzed. In experimental verification, the device exhibits rich motion states and trajectories under different excitation conditions. Results show that under 0.4 g ultra-low excitation, the peak-to-peak voltage reaches 4.5 V, and the root-mean-square voltage reaches 1 V, demonstrating effective energy harvesting under weak excitations. A marine sensing prototype is realized by integrating the proposed multi-stable energy harvester with processing circuit and data acquisition unit. The prototype successfully collects and transmits temperature and position data in virtual marine environment, demonstrating practical applicability of the proposed device for self-powered marine sensing.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113934"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146049212","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 : 2026-03-01Epub Date: 2026-01-28DOI: 10.1016/j.ymssp.2026.113936
Mingtao Fu, Hongchen Miao, Guozheng Kang
Metamaterial-aided ultrasonic nondestructive testing (NDT) has emerged as a promising field for overcoming limitations in conventional defect detection. However, the practical implementation encounters challenges because traditional metamaterial design typically requires breaking structural continuity, and the 2D/3D periodic distribution of metamaterials leads to a significant increase in complexity. This study presents an innovative metablock design strategy characterized by nondestructive properties, one-dimensional periodicity, and broadband performance (20 kHz bandwidth). Focusing on the fundamental shear horizontal (SH0) wave, a preferred mode in NDT due to its nondispersive propagation characteristic, a subwavelength rectangular metablock capable of effective wave manipulation through antiresonance mechanisms is developed. The proposed metablock can be easily manufactured and attached to the host structure without compromising the structure’s integrity. A theoretical model is developed to describe the mechanism of wave isolation and simultaneously design the metablock’s dimensions. Practical demonstrations include one-dimensional isolators blocking full-angle incident SH0 waves and waveguides guiding SH0 wave propagation, which are validated by simulations and experiments. Furthermore, a metablock-aided inspection system is developed to demonstrate enhanced detection capabilities for oblique cracks (oriented between 0° and 90°), most of which fall outside the capability of conventional Pulse-echo ultrasonic testing. Simulation and experimental results confirm significant improvements of the proposed system in crack identification accuracy and extended inspection coverage with a wide frequency range, highlighting the metablock’s promising applications in SH0 wave-based NDT.
{"title":"Nondestructive subwavelength metablocks for manipulation of shear horizontal waves","authors":"Mingtao Fu, Hongchen Miao, Guozheng Kang","doi":"10.1016/j.ymssp.2026.113936","DOIUrl":"10.1016/j.ymssp.2026.113936","url":null,"abstract":"<div><div>Metamaterial-aided ultrasonic nondestructive testing (NDT) has emerged as a promising field for overcoming limitations in conventional defect detection. However, the practical implementation encounters challenges because traditional metamaterial design typically requires breaking structural continuity, and the 2D/3D periodic distribution of metamaterials leads to a significant increase in complexity. This study presents an innovative metablock design strategy characterized by nondestructive properties, one-dimensional periodicity, and broadband performance (20 kHz bandwidth). Focusing on the fundamental shear horizontal (SH<sub>0</sub>) wave, a preferred mode in NDT due to its nondispersive propagation characteristic, a subwavelength rectangular metablock capable of effective wave manipulation through antiresonance mechanisms is developed. The proposed metablock can be easily manufactured and attached to the host structure without compromising the structure’s integrity. A theoretical model is developed to describe the mechanism of wave isolation and simultaneously design the metablock’s dimensions. Practical demonstrations include one-dimensional isolators blocking full-angle incident SH<sub>0</sub> waves and waveguides guiding SH<sub>0</sub> wave propagation, which are validated by simulations and experiments. Furthermore, a metablock-aided inspection system is developed to demonstrate enhanced detection capabilities for oblique cracks (oriented between 0° and 90°), most of which fall outside the capability of conventional Pulse-echo ultrasonic testing. Simulation and experimental results confirm significant improvements of the proposed system in crack identification accuracy and extended inspection coverage with a wide frequency range, highlighting the metablock’s promising applications in SH<sub>0</sub> wave-based NDT.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113936"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146049213","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 : 2026-03-01Epub Date: 2026-02-05DOI: 10.1016/j.ymssp.2026.113980
Xinyu Wen , Ang Song , Shengquan Li , Jia Guo
To address modal coupling and multi-source uncertainty in the multimodal vibration control of piezoelectric smart thin plates, this paper proposes an active vibration control strategy based on an integrated observer. First, an error-decoupling observer is designed to separate different vibration modes based on their frequency characteristics, achieving modal decoupling. Then, an independent cascaded backward recursive observer is employed to estimate the time-delay vibration signals of the decoupled modes with high precision. To compensate for sensor-induced phase delays and reduce input uncertainties, the estimated vibration signals are processed through predictive reconstruction, which enhances control accuracy and dynamic performance. The stability of the closed-loop system is guaranteed via Lyapunov analysis. Experimental results demonstrate that, compared with linear active disturbance rejection control with an extended state observer (LADRC-ESO), the proposed method achieves an additional attenuation of approximately 10 dB in vibration amplitude and an overall improvement of about 8% in vibration suppression. These results confirm the effectiveness of the proposed method.
{"title":"Decoupled multimodal vibration control of smart thin plates based on integrated observer","authors":"Xinyu Wen , Ang Song , Shengquan Li , Jia Guo","doi":"10.1016/j.ymssp.2026.113980","DOIUrl":"10.1016/j.ymssp.2026.113980","url":null,"abstract":"<div><div>To address modal coupling and multi-source uncertainty in the multimodal vibration control of piezoelectric smart thin plates, this paper proposes an active vibration control strategy based on an integrated observer. First, an error-decoupling observer is designed to separate different vibration modes based on their frequency characteristics, achieving modal decoupling. Then, an independent cascaded backward recursive observer is employed to estimate the time-delay vibration signals of the decoupled modes with high precision. To compensate for sensor-induced phase delays and reduce input uncertainties, the estimated vibration signals are processed through predictive reconstruction, which enhances control accuracy and dynamic performance. The stability of the closed-loop system is guaranteed via Lyapunov analysis. Experimental results demonstrate that, compared with linear active disturbance rejection control with an extended state observer (LADRC-ESO), the proposed method achieves an additional attenuation of approximately 10 dB in vibration amplitude and an overall improvement of about 8% in vibration suppression. These results confirm the effectiveness of the proposed method.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"247 ","pages":"Article 113980"},"PeriodicalIF":8.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134803","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}