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Rib quality assessment using quantitative ultrasound imaging of bone 用骨的定量超声成像评价肋骨质量
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-02-06 DOI: 10.1016/j.ultras.2026.107995
MC. Herrera , F. Sundblad , Ari. Salmi , CR. Dickerson , K. Raum
This feasibility study evaluated quantitative ultrasound imaging of bone (QUSIB) for non-ionizing assessment of rib quality in the context of breast cancer treatment. In silico, microcomputed tomography-based rib models simulated five-year of the effects of radiation and bisphosphonate therapy. Broadband ultrasound propagation (6-MHz center frequency, 128-element array) yielded backscatter and attenuation coefficients, which were related to structural and material parameters via univariate and partial least squares (PLS) regression analyses with 5-fold cross-validation. The strongest univariate correlations were observed for trabecular total bone volume fraction (BV/TVtb) and cortical porosity with attenuation at 7–8 MHz. PLS models significantly predicted trabecular BV/TVtb (R2 = 0.50; p < 0.001) and cortical porosity (R2 = 0.58; p < 0.001). Treatment-dependent spectral shifts in backscatter and attenuation coefficients confirmed sensitivity to pathological changes.
In-vivo QUSIB measurements at the antero-lateral 4th–6th ribs and at the tibia midshaft in n = 10 healthy volunteers produced apparent integrated backscatter and attenuation values that closely matched in-silico distributions (p > 0.01) and did not differ significantly from tibia measurements.
These results demonstrate that QUSIB backscatter biomarkers robustly reflect rib microstructure and treatment-induced alterations, supporting their potential for fracture-risk assessment in breast cancer patients.
本可行性研究评估了骨定量超声成像(QUSIB)在乳腺癌治疗中对肋骨质量的非电离评估。在计算机上,基于微计算机断层扫描的肋骨模型模拟了放射和双膦酸盐治疗5年的影响。宽带超声传播(中心频率为6mhz, 128元阵列)通过单变量和偏最小二乘(PLS)回归分析获得了与结构和材料参数相关的反向散射和衰减系数,并进行了5倍交叉验证。单变量相关性最强的是骨小梁总骨体积分数(BV/TVtb)和皮质孔隙度,在7-8 MHz时衰减。PLS模型显著预测小梁BV/TVtb (R2 = 0.50; p < 0.001)和皮质孔隙度(R2 = 0.58; p < 0.001)。治疗相关的后向散射光谱偏移和衰减系数证实了对病理变化的敏感性。在n = 10名健康志愿者中,在第4 -第6肋骨前外侧和胫骨中轴处的体内QUSIB测量产生了明显的综合后向散射和衰减值,与计算机分布密切匹配(p > 0.01),与胫骨测量值无显著差异。这些结果表明,QUSIB后向散射生物标志物强有力地反映了肋骨微观结构和治疗引起的改变,支持了它们在乳腺癌患者骨折风险评估中的潜力。
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引用次数: 0
LambNet-T: A lightweight path-conditional transformer autoencoder for temperature-aware baseline learning in Lamb-wave SHM lamnet - t:用于lamwave SHM中温度感知基线学习的轻量级路径条件变压器自编码器。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-01-23 DOI: 10.1016/j.ultras.2026.107973
Jan Horňas, Ondřej Vích, Lenka Šedková, Ivan Mlch, Bohuslav Cabrnoch, Michal Král
Reliable Lamb-wave–based Structural Health Monitoring (SHM) depends on accurate baseline selection under varying temperatures. This study presents LambNet-T, a lightweight path-conditional Transformer-based autoencoder for temperature-aware baseline learning across multiple transducer paths. LambNet-T employs Attention Pooling (AP) to generate contextual embeddings and enables robust baseline selection using Cosine Similarity (CS) with a Median-based evaluation strategy, improving diagnostic accuracy and temperature robustness in multi-path Lamb-wave SHM. Experiments on a composite panel over −10 to +50 °C used only four baseline temperatures to reflect practical constraints, with quadratic interpolation for data augmentation. LambNet-T demonstrated significantly higher training efficiency than a convolutional autoencoder (CAE-GAP). During inference, the Median of the highest path-specific CS values identified the optimal temperature-compensated baseline. The method achieved high precision (R2 = 0.994 ± 0.001), outperforming both CAE-GAP and conventional Optimal Baseline Selection (OBS). Integration with an existing damage localization framework reduced impact location errors to as low as 4.12 mm. A conservative statistical filter, based on baseline selection variability, was applied to manage uncertainty. All experimental datasets are openly available for reproducibility.
可靠的基于兰姆波的结构健康监测(SHM)依赖于在不同温度下准确的基线选择。本研究提出了LambNet-T,一种轻量级的基于路径条件变压器的自编码器,用于跨多个传感器路径的温度感知基线学习。LambNet-T采用注意力池(AP)生成上下文嵌入,并使用余弦相似度(CS)和基于中值的评估策略实现稳健的基线选择,提高了多路径Lamb-wave SHM的诊断准确性和温度鲁棒性。在-10至+50°C的复合面板上进行的实验仅使用四个基线温度来反映实际约束,并使用二次插值来增强数据。LambNet-T的训练效率明显高于卷积自编码器(CAE-GAP)。在推理过程中,最高路径特异性CS值的中位数确定了最佳温度补偿基线。该方法具有较高的精密度(R2 = 0.994±0.001),优于CAE-GAP和传统的最优基线选择(OBS)。与现有的损伤定位框架集成,将冲击定位误差降低到4.12 mm。采用基于基线选择可变性的保守统计过滤器来管理不确定性。所有的实验数据集都是公开的。
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引用次数: 0
An analytical two-step method for precise evaluation of local resonance frequencies for internal planar defects 平面内缺陷局部共振频率精确计算的两步解析法。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-01-27 DOI: 10.1016/j.ultras.2026.107980
Honglin Yan , Shuang Xu , Jiarui Deng , Qingping Kang , Paixin Chen , Ruiqi Guan , Hua Zhang , Kai Wang
Despite the effectiveness of methods based on local defect resonance (LDR) for the nondestructive evaluation of planar defects, the physical mechanism underlying the generation of LDR remains an ongoing topic of research interest. Existing methods for interpreting the generation of LDR are based on the vibration theory and simplified boundary conditions, but they demonstrate effectiveness for LDR frequency prediction only in defects within specific parameter ranges and lack universal applicability for both near surface and internal defects. A two-step approach is proposed in this investigation to understand the generation of LDR from the perspective of wave reflection and standing wave formation. In this approach, the interaction of guided waves with defect boundaries are analyzed using the normal mode expansion method, and thereby the phase shift of reflected wave modes is obtained. On this basis, the formation of standing waves is analyzed, and a quantitative relation between the defect parameters and LDR frequency can be obtained explicitly. The shape effect on the LDR frequency is then investigated via a Rayleigh method. The proposed approach provides an insight into the generation of LDR for both near surface and internal defects, and enables the quantitative evaluation of defects with circular and elliptical shapes using the LDR frequencies.
尽管基于局部缺陷共振(LDR)的方法对平面缺陷的无损评估是有效的,但LDR产生的物理机制仍然是一个研究热点。现有的解释LDR产生的方法是基于振动理论和简化的边界条件,但它们仅对特定参数范围内缺陷的LDR频率预测有效,对近表面和内部缺陷缺乏普遍适用性。本文提出了从波反射和驻波形成两个角度来理解LDR产生的两步方法。该方法采用法模展开法分析导波与缺陷边界的相互作用,从而得到反射波模的相移。在此基础上,分析了驻波的形成,明确了缺陷参数与LDR频率之间的定量关系。然后通过瑞利方法研究了形状对LDR频率的影响。该方法为近表面和内部缺陷的LDR生成提供了深入的见解,并能够使用LDR频率对圆形和椭圆形状的缺陷进行定量评估。
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引用次数: 0
Limitations of the 1D inverse thermal modelling method for ultrasonic thermometry 超声测温一维逆热建模方法的局限性。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-01-31 DOI: 10.1016/j.ultras.2026.107981
Laurence Clarkson, Frederic Cegla
Structural health monitoring often involves temperature measurement. However, traditional sensors cannot measure subsurface temperature non-invasively, making them unsuitable for monitoring temperature-driven damage mechanisms such as high-cycle thermal fatigue. This limitation arises, in part, due to effective thermal low-pass filtering caused by material properties. A previous feasibility study demonstrated that subsurface temperature can be inferred non-invasively in mild steel subjected to uniform heating. This was achieved using the ultrasonic-based inverse thermal modelling (ITM) method, which assumes the temperature of a component can be described by a 1D system.
This study investigated the behaviour of ITM under non-uniform heating applied to the ‘inaccessible’ surface of a stainless steel sample through experiments and simulations. The experimental results show that ITM over-predicts temperature by as much as 120% when the heated region is small compared with the 10 mm ultrasonic beam size. In simulation, the overestimation was reduced as the size of the heating source increased, effectively making the temperature distribution more uniform across the volume through which the ultrasonic wave travels. Despite the overestimation under non-uniform heating, ITM overcomes the thermal low-pass filtering, allowing the detection of thermal transients compared with a thermocouple mounted on the ‘accessible’ surface of a component.
结构健康监测通常涉及温度测量。然而,传统的传感器无法无创地测量地下温度,这使得它们不适合监测温度驱动的损伤机制,如高循环热疲劳。这种限制部分是由于材料特性导致的有效的热低通滤波。先前的可行性研究表明,在均匀加热的低碳钢中,可以无创地推断出地下温度。这是通过基于超声波的逆热建模(ITM)方法实现的,该方法假设组件的温度可以用一维系统来描述。本研究通过实验和模拟研究了不均匀加热作用于不锈钢样品“不可接近”表面时ITM的行为。实验结果表明,与10mm超声光束尺寸相比,当加热区域较小时,ITM对温度的过度预测高达120%。在模拟中,随着热源尺寸的增大,过高估计减小,有效地使超声波穿过的体积内的温度分布更加均匀。尽管在非均匀加热情况下存在高估,但ITM克服了热低通滤波,与安装在组件“可访问”表面的热电偶相比,可以检测热瞬态。
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引用次数: 0
Transcranial steering of focused ultrasound vortex with binary acoustic metasurfaces 双声超表面聚焦超声涡的经颅转向
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-01-23 DOI: 10.1016/j.ultras.2026.107967
Zhongtao Hu , Xudong Chen
Ultrasound vortices have rapidly expanded their applications to areas like particle trapping, contactless manipulation, acoustic communications. In ultrasonic imaging and therapy involving bone tissues, these vortex beams offer intriguing possibilities but transmitting them through bone (especially the skull) poses challenges. Traditional acoustic lenses were engineered to rectify skull-induced beam aberration, and their capacity was limited to generating only static ultrasound fields within the brain. To overcome this constraint, our study presents a novel method for transcranially steering focused ultrasound vortex using 3D printed binary acoustic metasurfaces (BAMs) with a thickness of 0.8 λ. We tackled the challenge of skull-induced phase aberration by computing the phase distribution via a time reversal technique, which concurrently enabled the generation of a steerable focused vortex inside an ex vivo human skull by adjusting the operating frequency. Both numerical and simulations experiments were conducted to validate the capabilities of BAMs. We further conducted numerical demonstrations of higher-order vortices (l=2-4) inside the skull using the BAM, confirming that the approach is extensible beyond the fundamental case. This development paves the way for designing cost-effective particle-trapping systems, facilitating clot manipulation, and applying acoustic-radiation forces and torques within or across bone structures, thus presenting a new frontier for potential biomedical applications.
超声涡旋的应用已迅速扩展到粒子捕获、非接触式操作、声学通信等领域。在涉及骨组织的超声成像和治疗中,这些涡旋光束提供了有趣的可能性,但通过骨骼(特别是头骨)传输它们带来了挑战。传统的声学透镜被设计用来纠正头骨引起的光束畸变,而且它们的能力仅限于在大脑内产生静态超声场。为了克服这一限制,我们的研究提出了一种使用厚度为0.8 λ的3D打印二元声学超表面(BAMs)的新方法。我们通过时间反转技术计算相位分布,同时通过调整工作频率在离体人类头骨内产生可操纵的聚焦涡流,解决了头骨引起的相位畸变问题。通过数值和模拟实验验证了BAMs的性能。我们进一步使用BAM对颅骨内的高阶涡(l=2-4)进行了数值演示,证实了该方法可扩展到基本情况之外。这一发展为设计具有成本效益的粒子捕获系统,促进凝块操作,以及在骨结构内或骨结构间应用声辐射力和扭矩铺平了道路,从而为潜在的生物医学应用提供了新的前沿。
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引用次数: 0
Multi-objective optimization of virtual source distributions for ultrafast diverging wave imaging 超快发散波成像中虚拟源分布的多目标优化
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-02-09 DOI: 10.1016/j.ultras.2026.107979
Zahraa Alzein , Marco Crocco , Daniele D. Caviglia , Hervé Liebgott
Diverging wave imaging (DWI) with coherent compounding addresses the field-of-view (FOV) limitations of ultrafast imaging by placing virtual sources (VSs) behind the transducer. The number and spatial distribution of these VSs affects both image quality and frame rate, making them of high interest. Existing approaches use deterministic placements (e.g., linear, tilted, and Archimedean-spiral distributions), which exhibit inherent trade-offs between resolution and contrast. However, the optimal placement of VSs to maximize image quality has not yet been investigated for convex arrays. In this study, we propose a multi-objective genetic algorithm to optimize VS spatial distributions with a compound mask weighting strategy — mapped from transmit apodization in synthetic aperture imaging (SAI) — to enhance beam coherence and reduce artifacts during optimization. The framework was evaluated across different numbers of VSs to quantify performance trade-offs under fewer transmission events. The proposed multi-objective framework optimizes two PSF-based metrics, namely the Full Width at Half Maximum (FWHM) and the Peak Sidelobe Level (PSL). Then, image-quality metrics, such as contrast ratio (CR) and signal-to-noise ratio (SNR), are computed a posteriori as independent validation measures on the reconstructed images. In both simulations and experimental trials, the optimized VS distributions achieved up to a 50% reduction in FWHM and a 60% improvement in CR compared to deterministic methods, while preserving these gains even with reduced transmission events.
相干复合发散波成像(DWI)通过在换能器后面放置虚拟源(VSs),解决了超快成像的视场(FOV)限制。这些VSs的数量和空间分布影响图像质量和帧率,使它们引起高度关注。现有的方法使用确定性放置(例如,线性,倾斜和阿基米德螺旋分布),这在分辨率和对比度之间表现出固有的权衡。然而,对于凸面阵列,VSs的最佳位置以最大限度地提高图像质量尚未得到研究。在这项研究中,我们提出了一种多目标遗传算法来优化VS空间分布,该算法采用复合掩模加权策略-从合成孔径成像(SAI)的发射apodization映射-以增强光束相干性并减少优化过程中的伪影。该框架在不同数量的VSs上进行了评估,以量化在较少传输事件下的性能权衡。提出的多目标框架优化了两个基于psf的指标,即半最大全宽度(FWHM)和峰值旁瓣电平(PSL)。然后,后验计算图像质量指标,如对比度(CR)和信噪比(SNR),作为对重建图像的独立验证措施。在模拟和实验试验中,与确定性方法相比,优化的VS分布使FWHM降低了50%,CR提高了60%,即使在减少传输事件的情况下也能保持这些增益。
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引用次数: 0
A physics-informed eigenfilter for artifact removal in ultrasonic scanning videos for structural inspection 用于结构检测的超声扫描视频中伪影去除的物理信息特征滤波器
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-02-08 DOI: 10.1016/j.ultras.2026.107992
Chengyang Huang, Francesco Lanza di Scalea
Artifact suppression in industrial ultrasound videos is critical for enhancing the visibility of weak structural features such as flaws. Traditional approaches such as frequency-based filtering and baseline subtraction are often limited by assumptions of perfectly separated signal components or fixed spatiotemporal alignment, which rarely hold in practice. More recent studies for artifact removal in medical ultrasound have considered eigenspace filtering that relies on the different spatiotemporal coherence between the consistent artifacts (clutter in medical imaging) and the transient signals of interest. This paper adapts the eigenfiltering approach to industrial wheel inspection system implementing a Synthetic Aperture Focus Technique (SAFT) applied to flaw imaging in railroad rails using a Rolling Search Unit (RSU). The paper clarifies key aspects of eigenfiltering applied to industrial ultrasound videos. First, it is shown that the eigenfilter effectiveness primarily stems from the large spatiotemporal autocorrelation (rather than cross-correlation) of the pseudo-stationary artifact reflections compared to the small autocorrelation of the transient flaw reflections. In addition, to address the challenges of shifting artifact positions during a scan (a very common occurrence in practical tests), the paper proposes a novel recursive eigenfilter with rectification that is different from traditional eigenfiltering. This recursive algorithm leverages a nonnegativity constraint consistent with the physics of ultrasound imaging, which iteratively reshapes the eigenspace to optimally suppress the spatiotemporally correlated artifact reflections while highlighting the uncorrelated flaw reflections. The algorithm offers excellent convergence. Experimental results obtained from RSU scanning of both artificial and natural rail flaws demonstrate outstanding filtering performance in the presence of strong artifacts. This filtering approach is widely applicable to many imaging applications involving a scanning setup.
工业超声视频中的伪影抑制对于增强弱结构特征(如缺陷)的可见性至关重要。基于频率的滤波和基线减法等传统方法往往受到完全分离信号成分或固定时空对准假设的限制,在实践中很少成立。最近的医学超声伪影去除研究考虑了特征空间滤波,该滤波依赖于一致伪影(医学成像中的杂波)和感兴趣的瞬态信号之间的不同时空相干性。本文将特征滤波方法应用于工业车轮检测系统,利用滚动搜索单元(RSU)将合成孔径聚焦技术(SAFT)应用于轨道缺陷成像。本文阐述了特征滤波在工业超声视频中的应用。首先,与瞬态缺陷反射的小自相关相比,特征滤波器的有效性主要源于伪平稳伪反射的大时空自相关(而不是互相关)。此外,为了解决扫描过程中伪影位置移位的问题(在实际测试中很常见),本文提出了一种与传统特征滤波不同的带整流的递归特征滤波器。该递归算法利用与超声成像物理特性一致的非负性约束,迭代地重塑特征空间,以最佳地抑制时空相关的伪影反射,同时突出不相关的缺陷反射。该算法具有良好的收敛性。对人造和自然轨道缺陷进行RSU扫描的实验结果表明,在存在强伪影的情况下,RSU扫描具有出色的滤波性能。这种滤波方法广泛适用于涉及扫描设置的许多成像应用。
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引用次数: 0
Study on frequency tunable resonators via variable mass 变质量调频谐振器的研究。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-07-01 Epub Date: 2026-02-07 DOI: 10.1016/j.ultras.2026.107997
Zitong Mai, Xiping He, Maiwei Liao, Zhibo Li
This study proposes a frequency tunable ultrasonic resonator based on a variable mass method, in which a metal ring, i.e., a tuning frequency ring (TFR) is mounted on the resonator. The resonant frequency of the resonator is adjusted by altering the position of the TFR, which introduces changes in both inertia and stiffness. LTspice were conducted to investigate the effects of the TFR’s size, material, and position on the resonant frequency, with experimental measurements further validating the results. Contrary to the conventional belief that adding mass lowers the frequency, the study reveals that placing the TFR near the displacement node can increase the resonant frequency. The results also demonstrate that the tuning range of the system can be controlled by modifying the TFR’s geometry and material properties. For a resonator with a resonant frequency of 28  kHz, when the mass of the TFR is about 36  g, studies show that the maximum tunable frequency range is 9  kHz. Based on the energy method, the equivalent mass and stiffness of the resonator were calculated using the SECM (Segmented Equivalent Circuit Model) and cubic spline interpolation, explaining the physical mechanism of frequency tuning using the variable mass method, providing a practical solution for achieving wide-range frequency tuning in ultrasonic resonators.
本研究提出了一种基于变质量法的频率可调超声谐振器,在谐振器上安装一个金属环,即调谐频率环(TFR)。通过改变TFR的位置来调整谐振器的谐振频率,从而引入惯性和刚度的变化。LTspice研究了TFR的尺寸、材料和位置对谐振频率的影响,并通过实验测量进一步验证了结果。与增加质量降低频率的传统观点相反,研究表明,将TFR放置在位移节点附近可以提高谐振频率。结果还表明,可以通过改变TFR的几何形状和材料特性来控制系统的调谐范围。对于谐振频率为28 kHz的谐振器,当TFR质量约为36 g时,研究表明其最大可调谐频率范围为9 kHz。基于能量法,利用分段等效电路模型(SECM)和三次样条插值计算了谐振器的等效质量和刚度,解释了变质量法频率调谐的物理机理,为实现超声谐振器的大范围频率调谐提供了一种实用的解决方案。
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引用次数: 0
Lightweight frameworks for real-time crack monitoring in civil infrastructure 用于民用基础设施裂缝实时监测的轻量级框架
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.ultras.2026.107970
Vindhyesh Pandey, S.S. Mishra
Cracks in concrete buildings, pavements and bridges are important signs of structural deterioration and present serious concerns to integrity and safety. Tradionally, manual inspection has been in use to detect the cracks which is labour-intensive, subjective and prone to errors. Recently, researchers have evolved an advanced automated techniques such as YOLO (You Only Look Once), to overcome the manual errors. Continuous refinements have led to the developments of sophisticated versions YOLOv4 to YOLOv11 in the YOLO series. This study suggests a customisation of YOLOv11, for the purpose of its quickness, high accuracy and recall. Using data augmentation, hyperparameter optimisation and transfer learning on a composite dataset of concrete crack images, this model is specifically customized for crack detection. Based on experimental and publicly accessible data like SDNET2018 (Structural Defects Network), this customized version outperforms baseline versions YOLOv5, YOLOv8, YOLOv9, YOLOv10 and YOLOv11. An mAP50 (mean Average Precision) value of 68.6% is achieved which is 3.47% higher as compared to YOLOv11. Similarly, a precision of 80.8% and recall of 63.6% are achieved. The study provides 50, 100, 200, 300 and 400 epochs for training and validation. The 100 layers and 6.3 GFLOPs (Giga Floating Point Operations Per Second) of this model are also very less compared to other given models which is an indicator of less complex model. This model has proved computationally efficient and suitable for real-time applications and robust to challenging conditions such as low contrast and complex backgrounds, making it a valuable tool for structural health monitoring.
混凝土建筑物、路面和桥梁的裂缝是结构恶化的重要标志,对完整性和安全构成严重关切。传统上,人工检查一直用于检测裂缝,这是劳动密集型的,主观的,容易出错。最近,研究人员开发了一种先进的自动化技术,如YOLO (You Only Look Once),以克服人工错误。不断的改进导致了YOLO系列中复杂版本YOLOv4到YOLOv11的发展。本研究建议对YOLOv11进行定制,以提高其速度、准确性和召回率。在混凝土裂缝图像的复合数据集上使用数据增强、超参数优化和迁移学习,该模型是专门为裂缝检测定制的。基于SDNET2018(结构缺陷网络)等实验和公开可访问的数据,该定制版本优于基准版本YOLOv5, YOLOv8, YOLOv9, YOLOv10和YOLOv11。mAP50 (mean Average Precision)值达到68.6%,比YOLOv11高3.47%。同样,准确率为80.8%,召回率为63.6%。本研究提供了50、100、200、300和400个epoch用于训练和验证。与其他给定模型相比,该模型的100层和6.3 GFLOPs(每秒千兆浮点运算)也非常少,这是一个不太复杂的模型的指标。该模型已被证明具有计算效率,适合实时应用,并且对低对比度和复杂背景等具有挑战性的条件具有鲁棒性,使其成为结构健康监测的宝贵工具。
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引用次数: 0
Validating sideband peak count-index (SPC-I) technique as a hybrid linear/nonlinear ultrasonic technique through numerical modeling and experiment 通过数值模拟和实验验证边带峰值计数指数(SPC-I)技术是一种线性/非线性混合超声技术。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2026-06-01 Epub Date: 2026-01-17 DOI: 10.1016/j.ultras.2026.107966
Guangdong Zhang , Meng Wang , Othmane Achouham , Umar Amjad , Hamad Alnuaimi , Charfeddine Mechri , Rachid EI Guerjouma , Tribikram Kundu
The sideband peak count–index (SPC-I) technique has been widely used to assess material nonlinearity. However, its ability to capture true nonlinear responses of materials and structures has not convinced some researchers yet. This is because SPC-I variations can be generated by both linear scattering effects and nonlinear responses. Since changes in linear scattering modes can also influence SPC-I values, it is sometimes difficult to determine whether the observed variations stem from material nonlinearity or purely from linear scatterings. This work investigates whether SPC-I is sensitive to the variation in material nonlinearity. It also gives clear guidelines on how the upper and lower bounds of the moving threshold line should be set for capturing the linear and nonlinear variations separately, or together as a hybrid technique. Numerical simulations are conducted using an isotropic nonlinear elastic material (a hyperelastic material) modeled as a “Murnaghan material” characterized by second- and third-order elastic constants (SOECs and TOECs). Linear elastic (classic theory of linear elasticity) and nonlinear elastic plates are excited at different amplitudes for comparison and the amplification factor (AF) for these excitations is defined as the ratio of the input ultrasonic excitation to its baseline value (the first input excitation value). Numerical results demonstrate that for different AF values, SPC-I computed from normalized spectral plots remains constant for linear materials but varies for nonlinear materials. This trend is also observed for nonlinear elastoplastic materials in another sets of numerical modeling. Experimental measurements on aluminum and carbon fiber composite plates confirm the findings of the numerical modeling based observations that SPC-I can capture the nonlinear responses, reinforcing its significance in material characterization and damage detection. Finally, this capability of SPC-I is used for solving a real-world structural health monitoring (SHM) problem – monitoring bolt-loosening – where SPC-I responses and resonance frequency shifts are shown to follow similar trends. Both techniques are capable of tracking evolving contact conditions from bolt loosening while the SPC-I technique is easier to implement.
边带峰值计数指数(SPC-I)技术已被广泛应用于材料非线性的评估。然而,它捕捉材料和结构的真正非线性响应的能力还没有让一些研究人员信服。这是因为SPC-I的变化可以由线性散射效应和非线性响应产生。由于线性散射模式的变化也会影响SPC-I值,因此有时很难确定观测到的变化是源于材料非线性还是纯粹来自线性散射。本研究探讨了SPC-I是否对材料非线性的变化敏感。它还提供了关于如何设置移动阈值线的上界和下界,以单独捕获线性和非线性变化,或作为混合技术一起。采用以二阶和三阶弹性常数(SOECs和TOECs)为特征的“Murnaghan材料”建模的各向同性非线性弹性材料(超弹性材料)进行了数值模拟。将线性弹性板(经典线性弹性理论)和非线性弹性板以不同的振幅进行激励比较,并将这些激励的放大系数(AF)定义为输入超声激励与其基线值(第一个输入激励值)的比值。数值结果表明,对于不同的AF值,归一化光谱图计算的SPC-I对线性材料保持不变,而对非线性材料则有所不同。在另一组数值模拟中,这种趋势也适用于非线性弹塑性材料。对铝和碳纤维复合材料板的实验测量证实了基于数值模拟的观察结果,即SPC-I可以捕获非线性响应,增强了其在材料表征和损伤检测中的意义。最后,SPC-I的这种能力用于解决现实世界的结构健康监测(SHM)问题——监测螺栓松动——其中SPC-I的响应和共振频移显示出类似的趋势。这两种技术都能够跟踪螺栓松动引起的接触条件变化,而SPC-I技术更容易实现。
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