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Quantification and propagation of uncertainties in electroacoustic absorbers due to temperature effects using Bayesian inference 基于贝叶斯推理的电声吸收器中温度效应不确定性的量化和传播
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 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.
在可用于主动噪声控制的技术中,电声吸收器(ea)是一种可以控制声阻抗以匹配所需目标值的设备。这种控制取决于用于构建EA的扬声器的机电特性,称为Thiele-Small参数。由于这些特性会受到环境因素的影响,如温度和湿度,扬声器模型参数的不确定性会给控制律本身带来不确定性。这项工作提出了使用贝叶斯推理框架量化由于温度变化引起的ea的Thiele-Small参数中的不确定性,以及这些不确定性传播到关键操作指标,即频率响应函数(FRF)和正常吸收系数。使用阻抗管在−10°C至+50°C的宽温度范围内测量了多个ea的声阻抗,并使用极余模型来识别Thiele-Small参数随温度的变化。然后采用Metropolis-Hastings和仿射不变集合采样(AIES)算法对Thiele-Small参数的后验分布进行采样,并比较了它们的性能。Metropolis-Hastings在估计相关参数时表现出偏差、欠分散和收敛失败,而集合采样器在计算成本较高的情况下能有效捕获全后验。利用ais衍生后验的不确定性传播产生了完全包含实验数据的频响和吸收系数的预测区间。
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引用次数: 0
Novel variable inerter damper with independently tunable inertance and damping 具有独立可调的惯性和阻尼的新型可变阻尼器
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 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.
与其他无源阻尼器相比,惯性阻尼器在各种振动控制问题中表现出独特的性能。大多数现有的pid一旦制造出来就只能具有固定的惯性和阻尼系数,这限制了它们的实际应用和自适应或半主动控制的实现。本文提出了一种具有良好的惯性系数和阻尼系数可调能力的可变阻尼器设计。与现有的VID不同,新的VID设计可以连续和单独调整惯性和阻尼系数,符合通常需要精确、连续和单独调整这两个系数的控制优化。进行了理论建模和大量的实验室实验,验证了VID原型在各种工况下的性能。实验结果证实了惯性和阻尼的广泛调谐范围,据作者所知,这是第一个具有如此广泛可调性的吨级原型。此外,惯性系数和电磁阻尼系数可以通过各自的调节机制独立调节。所提出VID的显著特征将显著改善id的功能和适用性。
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引用次数: 0
Conv-Transformer based few-shot learning for highly accurate multi-task structural health monitoring via piezoelectric impedance 压电阻抗高精度多任务结构健康监测中基于逆变变压器的少镜头学习
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-02-09 DOI: 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.
用于结构健康监测的阻抗信号通常是稀疏的,并且在受损条件下难以获取。增加伤害种类会显著降低精度。在本研究中,我们提出了一个能够进行多任务结构健康监测的convo - transformer模型,该模型在处理多个故障检测任务(包括质量损失和螺栓松动)的同时,解决了小样本数据集的复杂性。该模型通过结合卷积层和Transformer编码器内的多头关注来增强特征提取,重点关注阻抗信号中峰值的相对位置和每个峰值的局部特征。这些优点使高精度的多任务SHM具有小样本的阻抗信号。首先对混合条件下的大量数据进行训练,然后对小样本数据进行微调,完成8类故障分类任务。实验结果表明,该模型具有较强的学习能力和跨条件可移植性,对多任务损伤识别的准确率达到92.12%,比传统的Transformer基线提高4.49%。该方法可应用于建筑物、桥梁和桁架的健康状况识别。
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引用次数: 0
RDI-Pred: Risk-aware and dynamics-enhanced trajectory prediction with intention guidance in emergency scenarios RDI-Pred:紧急情况下带有意图指导的风险意识和动态增强轨迹预测
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 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 .
紧急情况下的轨迹预测对自动驾驶至关重要。然而,在这些情况下,车辆运动信号是高度非线性和非平稳的,具有复杂的时间和动态依赖关系。由于主流数据集主要涵盖常规驾驶,忽略了紧急情况,因此即使没有明确建模外感受线索、运动学信号或语义意图,现有模型在正常情况下仍然可以获得令人满意的性能。然而,在高度非平稳和动态的过程中,如突然切断或紧急制动,这些弱依赖的体系结构在泛化和鲁棒性方面存在显着缺陷。为了解决这些挑战,本文提出了RDI-Pred,这是一个从时间序列信号处理和动态系统建模的角度集成了风险-动态-意图协同作用的多源时间预测框架。首先,我们构建了一个风险感知的外感编码器,该编码器使用先前增强的风险注意进行风险评分。此外,构建了自我载体(ego)、目标载体(TV)和最近路径载体(CIPV)之间的三智能体相互作用显微图,以模拟局部时空依赖性,从而实现对外感风险的早期感知。接下来,我们设计了一个多尺度动态编码器,可以捕获短、中、长视界的运动动态。带有滑动窗口的1D-CNN提取短期瞬态,BiGRU(双向门控循环单元)状态描述中期行为,带有自注意的BiLSTM(双向长短期记忆)模型描述长期依赖,为轨迹解码提供了鲁棒的动态先验。最后,我们增加了切入式意图识别辅助任务来约束和重新评分解码中的多模态轨迹候选者,促进意图一致的轨迹,抑制不匹配的轨迹。在大规模ESP高风险数据集上,RDI-Pred以+32.9%的mAP、-44.0%的minADE、-45.9%的minFDE和-46.6%的MR优于MTR,在所有关键指标上都表现出明显的性能提升。结果证实了该方法在紧急高风险条件下的准确性和鲁棒性,为实现自动驾驶零容忍安全提供了切实可行的途径。我们的代码将在https://github.com/penglo/RDI-Pred-Risk-Dynamics-Intention-Collaborative-Vehicle-Trajectory-Prediction-in-Emergency-Scenarios上公开提供。
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引用次数: 0
A novel frequency-domain health indicator for bearing RUL estimation using adaptive Wiener process degradation modeling 基于自适应维纳过程退化模型的轴承RUL估计频域健康指标
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-01-31 DOI: 10.1016/j.ymssp.2026.113955
Afshin Nagheli, Mehrdad Poursina, Hossein Karimpour
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.
准确可靠地估计轴承健康状况需要构建合适的健康指标(HI)。为了有效地描述轴承的健康状态,提出了基于先进频域分析的修正总谐波分布(MTHD)健康指标。结果表明,MTHD具有单调性、鲁棒性和趋势性。为了准确地识别第一次预测时间(FPT),采用了MTHD曲线均值和方差的线性组合。然而,由于操作条件和载荷的变化,轴承的退化过程可能不同。因此,单一的固定模型不能准确表征不同退化过程的发生。为了解决这一问题,提出了一种自适应维纳模型。在该框架中,剩余使用寿命(RUL)预测是通过模型自适应算法选择适当的线性或非线性维纳模型来实现的。最后,使用XJTU-SY轴承数据集以及实验室自己生成的数据集验证了所提出模型的有效性。
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引用次数: 0
Optimized acoustic computed tomography for monitoring urban road tunnel fire-induced ceiling temperatures using simulated annealing and SART 利用模拟退火和SART对城市道路隧道火灾天花板温度监测的优化声学计算机断层扫描
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.ymssp.2026.113930
Zihe Gao, Xiaocui Wei, Huizhen Li, Yaqi Fan, Xinru Zhang
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.
为了解决隧道火灾的风险,将声学计算机断层扫描(CT)引入隧道火灾探测,并利用同步代数重建技术(SART)重建热释放率为3.0 MW的隧道顶板温度分布。对选定区域的重建表明,将重建网格划分为长度和宽度大致相等的单元,密集分布,同时避免与有效声路径重叠,可获得最佳结果。然后将此优化网格方案应用于隧道下方的整个天花板区域。在此基础上,进一步分析了声收发器的间距比,得出最经济的间距比为4:1。通过对整个隧道顶棚区域采用4:1的重构策略,将声波收发器的数量从112台减少到34台,大大提高了方案的经济性和实用性。最后,研究了另外两种火灾情景:一种是双对称火源,另一种是位于隧道中心线以外的单一偏置火源。双源场景下的重建结果令人满意,进一步验证了所提方法的有效性。然而,在偏置点火情况下,在火源附近,观察到有效声路径的数量显著减少,这影响了重建的精度。为了解决这一问题,引入了模拟退火算法对收发器布局进行优化,结果进一步验证了所提重构策略的鲁棒性和适应性,为隧道火灾全局监测提供了一种通用的高精度优化方法。
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引用次数: 0
Energy difference of dynamic displacement curvature with frequency band selection for damage identification in bridges 基于频率选择的桥梁动位移曲率能量差损伤识别
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 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.
桥梁由于长期荷载、环境侵蚀和自然因素的作用,容易发生损坏和退化。作为结构健康监测的关键目标,损伤识别尤为重要。针对传统曲率方法计算复杂、精度不高、对传感器要求高的问题,提出了一种基于动态位移曲率能量差的方法。首先,通过欧拉-伯努利梁理论和频响函数分析,推导了不同频率范围内位移响应与振型之间的解析关系;结果表明,在固有频率附近的位移响应是识别损伤的有效方法。然后,为了简化计算和减少非敏感频段的干扰,结合小波包变换,提出了一种基于敏感频段融合的“两步”损伤识别过程:首先提取出固有频率附近的频段,并将这些频段的位移积分到损伤定位中。其次,基于局部化结果,对有效频段进行细化,并融合其动态位移曲率能量差,形成损伤识别的综合指标;最后,通过连续梁桥数值模拟和日本老ADA桥实桥损伤试验,验证了该方法的工程可行性。结果表明,在随机载荷和车辆载荷作用下,该方法能有效识别单个或多个位置损伤,且在测点稀疏和噪声环境下具有良好的识别能力,具有广阔的应用前景。
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引用次数: 0
Track migration on 3D potential energy surface via magnetically perturbed rotation to enhance multi-stable energy harvesting in weak ocean excitations 利用磁摄动旋转在三维位能表面上进行航迹偏移,增强弱海洋激励下的多稳态能量收集
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 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.
获取丰富的波浪能为分布式海洋传感器供电是实现数字海洋战略的关键。双稳态能量采集器具有极好的低频响应特性,但随机海浪难以克服其势垒,特别是超低激励。与以往的研究不同,本文设计了一种旋转-振动耦合的多稳态能量采集器,它包含了多个势能函数,在位移-角度相空间中形成了一个三维势能面。该势能面通过改变耦合旋转角度为能量轨迹迁移提供了替代途径,从而减轻了对足够高激励的要求。从理论上探讨了能量轨迹迁移机理,分析了与势能面相关的非线性动力学。在实验验证中,该装置在不同激励条件下表现出丰富的运动状态和运动轨迹。结果表明,在0.4 g的超低激励下,峰间电压达到4.5 V,均方根电压达到1 V,在弱激励下实现了有效的能量收集。将所提出的多稳态能量采集器与处理电路和数据采集单元集成,实现了海洋传感样机。样机成功地在虚拟海洋环境中采集和传输温度和位置数据,证明了该装置在自供电海洋传感中的实际适用性。
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引用次数: 0
Nondestructive subwavelength metablocks for manipulation of shear horizontal waves 用于剪切水平波操作的非破坏性亚波长元块
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 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.
超材料辅助超声无损检测(NDT)已成为克服传统缺陷检测局限性的一个有前途的领域。然而,由于传统的超材料设计通常需要打破结构连续性,并且超材料的2D/3D周期性分布导致复杂性显着增加,因此在实际实施中遇到了挑战。本研究提出了一种创新的元块设计策略,其特点是具有无损特性、一维周期性和宽带性能(20 kHz带宽)。针对基波剪切水平波(SH0)这一非色散传播特性在无损检测中的首选模式,开发了一种亚波长矩形元块,该元块能够通过反共振机制有效地操纵波。所提出的元块可以很容易地制造并附着在宿主结构上,而不会损害结构的完整性。建立了一个理论模型来描述隔波机理,同时设计元块的尺寸。实际演示包括阻挡全角度入射SH0波的一维隔离器和引导SH0波传播的波导,并通过仿真和实验进行了验证。此外,研究人员还开发了一种元块辅助检测系统,以增强斜裂纹(取向在0°到90°之间)的检测能力,而大多数斜裂纹都超出了常规脉冲回波超声检测的能力。仿真和实验结果证实了该系统在裂纹识别精度和宽频率范围内的检测范围方面的显着提高,突出了元块在基于SH0波的无损检测中的应用前景。
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引用次数: 0
Decoupled multimodal vibration control of smart thin plates based on integrated observer 基于集成观测器的智能薄板解耦多模态振动控制
IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 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.
针对智能压电薄板多模态振动控制中的模态耦合和多源不确定性问题,提出了一种基于集成观测器的主动振动控制策略。首先,设计误差解耦观测器,根据频率特性分离不同的振动模态,实现模态解耦;然后,采用独立的级联后向递归观测器对解耦模态的时滞振动信号进行高精度估计。为了补偿传感器引起的相位延迟和减少输入的不确定性,对估计的振动信号进行预测重构,提高了控制精度和动态性能。通过李雅普诺夫分析,保证了闭环系统的稳定性。实验结果表明,与带扩展状态观测器的线性自抗扰控制(LADRC-ESO)相比,该方法的振动幅度额外衰减约10 dB,总体振动抑制效果提高约8%。这些结果证实了所提方法的有效性。
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引用次数: 0
期刊
Mechanical Systems and Signal Processing
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