Ultrasonics最新文献_第7页

Estimating annulus sealing properties using the flexural wave spectrum in pitch-catch well-logging 在间距捕捉测井中利用挠曲波谱估算环空密封性能。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-28 DOI: 10.1016/j.ultras.2024.107491

Sander Bøe Thygesen , Tore Lie Sirevaag , Sven Peter Näsholm

Safe oil and gas well operations require appropriate sealing of the annulus casing. Pitch-catch ultrasound logging measurements can be used for well-barrier inspection. In the analysis of such data, an important aspect is to determine whether there is cement or mud behind the casing.

This paper presents a data processing approach to differentiate between fluid and solid behind the casing from pitch-catch datasets. It is based on the spectral signature of the casing flexural wave, in which a notch-like dip might be observed. This dip is understood to occur in most solid annulus scenarios. However, when the annulus velocity exceeds a certain limit or is below a threshold, a dip is not produced. The frequency where the dip occurs is associated with an overlap between the flexural phase-velocity and the annulus P-wave velocity. This is exploited by picking the notch frequency, and then its value is used to estimate the annulus material P-wave velocity.

On the basis of this insight, a method for distinguishing solids from fluids is presented. The outcome is a binary algorithm that detects a dip (or no dip), and which in addition differentiates between annulus materials using the estimated velocity. In addition, we analyze the accuracy of the velocity estimation. It is straightforward to adopt this in an operational setting. This paper demonstrates the performance and accuracy of the algorithm for both simulated data and field recordings.

油气井的安全作业要求对环形套管进行适当的密封。间距捕捉超声波测井测量可用于井障检查。在分析此类数据时，一个重要的方面是确定套管后面是水泥还是泥浆。本文介绍了一种数据处理方法，用于从螺距捕捉数据集中区分套管后的流体和固体。该方法基于套管挠曲波的频谱特征，其中可能会观察到类似凹槽的倾角。据了解，在大多数固体环空情况下都会出现这种凹陷。然而，当环空速度超过一定限度或低于阈值时，就不会产生凹陷。出现凹陷的频率与挠曲相速度和环面 P 波速度之间的重叠有关。利用这一点，我们可以选取陷波频率，然后用其值来估算环面材料的 P 波速度。在此基础上，提出了一种区分固体和流体的方法。该方法是一种二进制算法，可检测凹陷（或无凹陷），并利用估算的速度区分环状材料。此外，我们还分析了速度估算的准确性。这种算法可以直接应用于实际工作中。本文展示了该算法在模拟数据和现场记录方面的性能和准确性。

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引用次数: 0

RFImageNet framework for segmentation of ultrasound images with spectra-augmented radiofrequency signals 利用频谱增强射频信号分割超声图像的 RFImageNet 框架

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-28 DOI: 10.1016/j.ultras.2024.107498

Zhun Xie , Jiaqi Han , Nan Ji , Lijun Xu , Jianguo Ma

Computer-aided segmentation of medical ultrasound images assists in medical diagnosis, promoting accuracy and reducing the burden of sonographers. However, the existing ultrasonic intelligent segmentation models are mainly based on B-mode grayscale images, which lack sufficient clarity and contrast compared to natural images. Previous research has indicated that ultrasound radiofrequency (RF) signals contain rich spectral information that could be beneficial for tissue recognition but is lost in grayscale images. In this paper, we introduce an image segmentation framework, RFImageNet, that leverages spectral and amplitude information from RF signals to segment ultrasound image. Firstly, the positive and negative values in the RF signal are separated into the red and green channels respectively in the proposed RF image, ensuring the preservation of frequency information. Secondly, we developed a deep learning model, RFNet, tailored to the specific input image size requirements. Thirdly, RFNet was trained using RF images with spectral data augmentation and tested against other models. The proposed method achieved a mean intersection over union (mIoU) of 54.99% and a dice score of 63.89% in the segmentation of rat abdominal tissues, as well as a mIoU of 63.28% and a dice score of 68.92% in distinguishing between benign and malignant breast tumors. These results highlight the potential of combining RF signals with deep learning algorithms for enhanced diagnostic capabilities.

计算机辅助医学超声图像分割有助于医学诊断，提高准确性并减轻超声技师的负担。然而，现有的超声波智能分割模型主要基于 B 型灰度图像，与自然图像相比缺乏足够的清晰度和对比度。以往的研究表明，超声射频（RF）信号包含丰富的频谱信息，这些信息有利于组织识别，但在灰度图像中却丢失了。本文介绍了一种图像分割框架 RFImageNet，它能利用射频信号的光谱和振幅信息来分割超声图像。首先，在所提出的射频图像中，射频信号中的正负值被分别分离到红色和绿色通道中，确保频率信息的保留。其次，我们开发了一个深度学习模型 RFNet，以满足特定输入图像大小的要求。第三，我们使用带有光谱数据增强功能的射频图像对 RFNet 进行了训练，并与其他模型进行了对比测试。在对大鼠腹部组织进行分割时，所提出的方法取得了 54.99% 的平均交集大于联合（mIoU）和 63.89% 的骰子分数；在区分良性和恶性乳腺肿瘤时，取得了 63.28% 的平均交集大于联合（mIoU）和 68.92% 的骰子分数。这些结果凸显了将射频信号与深度学习算法相结合以增强诊断能力的潜力。

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引用次数: 0

Ultrasonic backscattering measurement of hardness gradient distribution in polycrystalline materials 超声波反向散射测量多晶材料的硬度梯度分布

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-28 DOI: 10.1016/j.ultras.2024.107496

Changze Li, Ping Chen, Tong Fu, Xin Yu

It is crucial to obtain the internal hardness distribution in polycrystalline materials to evaluate the mechanical performance of components and monitor their service life. Current methods, however, fail to meet the non-destructive evaluation needs for materials with hardness gradient distributions. This paper, based on the principle of grain boundary scattering of ultrasound in polycrystalline materials, combined with the Transverse-to-Transverse Singly-Scattered Response (T-T SSR) theory, proposes an ultrasonic SSR model adapted to hardness gradient distributions. The model elucidates the influence of hardness gradient variations and grain dispersion on ultrasonic scattering. Using DREAM.3D, seven different-scale polycrystalline volumes were constructed to assess the relevance of volume-weighted average grain size and spatial correlation of hardness gradient materials. Finally, induction quenching was applied to 40Cr to induce a gradient hardness distribution internally, followed by ultrasonic backscatter experiments. The results indicate that the theoretical model and the spatial variance of measured signals align well over a relatively long time window. For the specimen with minor curvature, the theoretical hardness distribution obtained by the model is accurate, with an average error of 2.55 % compared to destructive testing data. However, the results for the larger curvature reveal limitations in the model.

获取多晶材料的内部硬度分布对于评估部件的机械性能和监控其使用寿命至关重要。然而，目前的方法无法满足对具有硬度梯度分布的材料进行无损评估的需求。本文基于超声波在多晶材料中的晶界散射原理，结合横向到横向单散射响应（T-T SSR）理论，提出了一种适用于硬度梯度分布的超声 SSR 模型。该模型阐明了硬度梯度变化和晶粒分散对超声散射的影响。利用 DREAM.3D，构建了七个不同尺度的多晶体，以评估硬度梯度材料的体积加权平均晶粒尺寸和空间相关性的相关性。最后，对 40Cr 进行了感应淬火，以在内部诱导硬度梯度分布，随后进行了超声反向散射实验。结果表明，在相对较长的时间窗口内，理论模型和测量信号的空间方差非常吻合。对于曲率较小的试样，模型得到的理论硬度分布是准确的，与破坏性测试数据相比，平均误差为 2.55%。然而，较大曲率的结果显示了模型的局限性。

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引用次数: 0

Simulation and experimentation of nonlinear Rayleigh wave inspection of fatigue surface microcracks 疲劳表面微裂纹的非线性瑞利波检测模拟与实验。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-28 DOI: 10.1016/j.ultras.2024.107500

Ne Liu , Shuyun Cheng , Jiaqi Fan , Ying Zhu , Ning Yang , Yongdong Pan

The nonlinear ultrasonic inspection is a method that the higher harmonics generated by the interaction of ultrasound and fatigue damage, which is used to evaluate material properties. In this paper, the difference between experimental measurement and simulation analysis was discussed, based on the simulation and experimentation. The results of simulation and experimentation both show that the nonlinear coefficient increases, reaches the maximum near the wavelength of

0.3 λ

, and then decreases to a certain extent and stabilizes. The difference between the simulation and the experimentation is that the crack depth corresponding to the maxima of the nonlinear coefficient and the relative variation between the nonlinear coefficient and the peak are different. And the causes of the difference were analyzed according to the simulation results and experimental measurements, which provides a reliable basis for the further study of the evaluation mechanism of the nonlinear Rayleigh wave.

非线性超声波检测是一种利用超声波与疲劳损伤相互作用产生的高次谐波来评估材料特性的方法。本文在模拟和实验的基础上，讨论了实验测量和模拟分析之间的差异。模拟和实验的结果都表明，非线性系数会增大，在波长为 0.3λ 附近达到最大值，然后在一定程度上减小并趋于稳定。模拟与实验的区别在于非线性系数最大值对应的裂纹深度以及非线性系数与峰值之间的相对变化不同。根据模拟结果和实验测量结果分析了造成差异的原因，为进一步研究非线性瑞利波的评价机理提供了可靠的依据。

引用次数: 0

Analytical modelling and analysis of the meander-line coil EMATs 蜿蜒线线圈电磁流量计的分析模型和分析。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-21 DOI: 10.1016/j.ultras.2024.107493

Runjie Yang , Zhichao Li , Shujuan Wang , Chuanliu Jiang

The meander-line coil electromagnetic acoustic transducer (EMAT) is widely used in the field of ultrasonic nondestructive testing due to its convenience to generate specific mode of guided waves. Some design methods of the meander-coil EMATs are developed in the frequency-wavenumber domain while others in the time–space domain. In this paper, a unified theoretical framework is developed by proposing an analytical model from the system perspective. Signal transfers between different physical fields in EMAT excitation, wave propagation and EMAT reception are represented as linear time–space-invariant systems. Taking the Rayleigh wave EMAT detection as an example, the analytical model for the transfer functions of these systems is established. The analytical model is experimentally verified by different Rayleigh wave detection techniques: the conventional EMAT, the spatial pulse compression (SPC) EMAT, temporal-spatial pulse compression (TSPC) EMAT and detection cases employing the same receiving EMAT. From the system perspective, the received signal of EMAT is interpreted as the response of the filter system to the input signal. It is found that the meander-coil EMAT can be regarded as the frequency domain expression during the detection. And the frequency domain expression plays different roles in different techniques.

蜿蜒线线圈电磁声换能器（EMAT）因其便于产生特定模式的导波而被广泛应用于超声波无损检测领域。蜿蜒线线圈电磁声换能器的一些设计方法是在频率-波数域中开发的，而另一些则是在时空域中开发的。本文从系统角度提出了一个分析模型，从而建立了一个统一的理论框架。EMAT 激发、波传播和 EMAT 接收过程中不同物理场之间的信号传输被表示为线性时空不变系统。以瑞利波电磁超声检测为例，建立了这些系统传递函数的分析模型。该分析模型通过不同的瑞利波检测技术进行了实验验证：传统的电磁超声波检测技术、空间脉冲压缩（SPC）电磁超声波检测技术、时间空间脉冲压缩（TSPC）电磁超声波检测技术以及采用相同接收电磁超声波检测技术的检测情况。从系统角度看，电磁超声波接收器的接收信号被解释为滤波系统对输入信号的响应。在检测过程中，可以将蜿蜒线圈 EMAT 视为频域表达式。而频域表达式在不同的技术中发挥着不同的作用。

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引用次数: 0

Multiple reflection wave detection method based on inversion of multilayer material transfer function 基于多层材料传递函数反演的多重反射波探测方法。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-20 DOI: 10.1016/j.ultras.2024.107495

Hao Jiang , Chong chen , Xianwen Xue , Mengyuan Li , Bowei Chen

For multi-layer composite materials, conventional ultrasonic testing is prone to interference from multiple reflected waves inside the multi-layer material due to factors such as material acoustic impedance differences and acoustic attenuation. This article proposes a new method to analyze propagation process of acoustic waves in multi-layer materials containing defects, and an algorithm for inverting the transfer function of one-layer from multiple reflection signals was proposed, and corresponding pulse responses were used to detect defects.

对于多层复合材料，由于材料声阻抗差异和声衰减等因素，传统的超声波测试容易受到多层材料内部多个反射波的干扰。本文提出了一种分析声波在含有缺陷的多层材料中传播过程的新方法，并提出了从多个反射信号反演单层传递函数的算法，利用相应的脉冲响应检测缺陷。

引用次数: 0

Defect localization in plate structures using the geometric phase of Lamb waves 利用 Lamb 波的几何相位进行板结构缺陷定位。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-19 DOI: 10.1016/j.ultras.2024.107492

Guangdong Zhang , Tribikram Kundu , Pierre A. Deymier , Keith Runge

Commonly used methods for defect localization in structures are based on velocity differences (VD) or amplitude ratio (AR) (or attenuation due to scattering) measured along different sensing paths between a reference system and a defective system. A high value on a sensing path indicates a higher probability of the presence of defect on that path. We introduce an alternative approach based on the newly developed topological acoustic (TA) sensing technique for localizing defects in plate structures using Lamb waves. TA sensing exploits changes in geometric phase of acoustic waves to detect perturbations in the supporting medium. This approach uses a geometric phase change – index (GPC-I), a measure of the geometry of the acoustic field averaged over a spectral domain, as detection metric in lieu of VD or AR. Calculations based on the finite element method (FEM) in Abaqus/CAE software verifies the effectiveness of the proposed GPC-I-based defect localization method. Randomly located defects on the surface of a plate are localized with higher sensitivity and accuracy, by the GPC-I method in comparison to VD or AR-based methods.

结构缺陷定位的常用方法基于参考系统和缺陷系统之间不同传感路径上测量的速度差（VD）或振幅比（AR）（或散射衰减）。传感路径上的高值表明该路径上存在缺陷的概率较高。我们介绍了一种基于新开发的拓扑声学（TA）传感技术的替代方法，利用 Lamb 波定位板状结构中的缺陷。拓扑声学传感利用声波几何相位的变化来检测支撑介质中的扰动。这种方法使用几何相位变化指数（GPC-I）作为检测指标，而不是 VD 或 AR。基于 Abaqus/CAE 软件有限元法 (FEM) 的计算验证了所提出的基于 GPC-I 的缺陷定位方法的有效性。与基于 VD 或 AR 的方法相比，GPC-I 方法能以更高的灵敏度和准确度定位板表面的随机位置缺陷。

{"title":"Defect localization in plate structures using the geometric phase of Lamb waves","authors":"Guangdong Zhang , Tribikram Kundu , Pierre A. Deymier , Keith Runge","doi":"10.1016/j.ultras.2024.107492","DOIUrl":"10.1016/j.ultras.2024.107492","url":null,"abstract":"<div><div>Commonly used methods for defect localization in structures are based on velocity differences (VD) or amplitude ratio (AR) (or attenuation due to scattering) measured along different sensing paths between a reference system and a defective system. A high value on a sensing path indicates a higher probability of the presence of defect on that path. We introduce an alternative approach based on the newly developed topological acoustic (TA) sensing technique for localizing defects in plate structures using Lamb waves. TA sensing exploits changes in geometric phase of acoustic waves to detect perturbations in the supporting medium. This approach uses a geometric phase change – index (GPC-I), a measure of the geometry of the acoustic field averaged over a spectral domain, as detection metric in lieu of VD or AR. Calculations based on the finite element method (FEM) in Abaqus/CAE software verifies the effectiveness of the proposed GPC-I-based defect localization method. Randomly located defects on the surface of a plate are localized with higher sensitivity and accuracy, by the GPC-I method in comparison to VD or AR-based methods.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"145 ","pages":"Article 107492"},"PeriodicalIF":3.8,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142508937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linear pressure waves in mono- and poly-disperse bubbly liquids: Attenuation and propagation speed in slow and fast and evanescent modes 单分散和多分散气泡液体中的线性压力波：慢速、快速和蒸发模式的衰减和传播速度。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-15 DOI: 10.1016/j.ultras.2024.107487

Tetsuya Kanagawa , Akihiro Nakamura

Using volumetric averaged equations from a two-fluid model, this study theoretically investigates linear pressure wave propagation in a quiescent liquid with many spherical gas bubbles. The speed and attenuation of sound are evaluated using the derived linear dispersion. Mono- and poly-disperse bubbly liquids are treated. To precisely describe the attenuation effect, some forms of bubble dynamics equations and temperature gradient models are employed. Focusing on the dissipative effect, we analyze the stop band that occurs in the linear dispersion relation. In the two-fluid model, even if the dissipation effect is considered, the inconvenience that the wavenumber diverges to infinity in the resonance frequency cannot be resolved. Additionally, the validity of terminating that wavenumber value in the middle of the frequency is demonstrated. To determine a linear dispersion relation that can exactly predict thermal conduction and acoustic radiation, wave propagation velocities and attenuation coefficients are compared with some experimental data and existing models. The results show that thermal conduction and acoustic radiation should be set appropriately to accurately predict the propagation velocity and attenuation except in the high frequency range, the phase velocity in the resonance frequency range, or the attenuation in the high frequency range.

本研究利用双流体模型的体积平均方程，从理论上研究了线性压力波在带有许多球形气泡的静止液体中的传播。利用推导出的线性频散对声速和衰减进行了评估。对单分散和多分散气泡液体进行了处理。为了精确描述衰减效应，采用了某些形式的气泡动力学方程和温度梯度模型。针对耗散效应，我们分析了线性弥散关系中出现的阻带。在双流体模型中，即使考虑了耗散效应，也无法解决波数在共振频率下发散到无穷大的不便。此外，还证明了在频率中间终止该波长值的有效性。为了确定能够准确预测热传导和声辐射的线性色散关系，将波的传播速度和衰减系数与一些实验数据和现有模型进行了比较。结果表明，要准确预测除高频范围外的传播速度和衰减、共振频率范围内的相位速度或高频范围内的衰减，应适当设置热传导和声辐射。

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引用次数: 0

Reconstruction of reflection ultrasound computed tomography with sparse transmissions using conditional generative adversarial network 利用条件生成对抗网络重建稀疏传输的反射超声计算机断层扫描。

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-15 DOI: 10.1016/j.ultras.2024.107486

Zhaohui Liu , Xiang Zhou , Hantao Yang , Qiude Zhang , Liang Zhou , Yun Wu , Quanquan Liu , Weicheng Yan , Junjie Song , Mingyue Ding , Ming Yuchi , Wu Qiu

Ultrasound computed tomography (UCT) has attracted increasing attention due to its potential for early breast cancer diagnosis and screening. Synthetic aperture imaging is a widely used means for reflection UCT image reconstruction, due to its ability to produce isotropic and high-resolution anatomical images. However, obtaining fully sampled UCT data from all directions over multiple transmissions is a time-consuming scanning process. Even though sparse transmission strategy could mitigate the data acquisition complication, image quality reconstructed by traditional Delay and Sum (DAS) methods may degrade substantially. This study presents a deep learning framework based on a conditional generative adversarial network, UCT-GAN, to efficiently reconstruct reflection UCT image from sparse transmission data. The evaluation experiments using breast imaging data in vivo show that the proposed UCT-GAN is able to generate high-quality reflection UCT images when using 8 transmissions only, which are comparable to that reconstructed from the data acquired by 512 transmissions. Quantitative assessment in terms of peak signal-to-noise ratio (PSNR), normalized mean square error (NMSE), and structural similarity index measurement (SSIM) show that the proposed UCT-GAN is able to efficiently reconstruct high-quality reflection UCT images from sparsely available transmission data, outperforming several other methods, such as RED-GAN, DnCNN-GAN, BM3D. In the experiment of 8-transmission sparse data, the PSNR is 29.52 dB, and the SSIM is 0.7619. The proposed method has the potential of being integrated into the UCT imaging system for clinical usage.

超声波计算机断层扫描（UCT）因其在早期乳腺癌诊断和筛查方面的潜力而受到越来越多的关注。合成孔径成像技术能够生成各向同性的高分辨率解剖图像，因此被广泛用于超声计算机断层扫描图像的反射重建。然而，通过多次传输从各个方向获取完全采样的 UCT 数据是一个耗时的扫描过程。尽管稀疏传输策略可以减轻数据采集的复杂性，但通过传统的延迟与求和（DAS）方法重建的图像质量可能会大幅下降。本研究提出了一种基于条件生成对抗网络（UCT-GAN）的深度学习框架，可从稀疏传输数据中高效地重建反射 UCT 图像。使用乳房活体成像数据进行的评估实验表明，所提出的 UCT-GAN 仅使用 8 次传输就能生成高质量的反射 UCT 图像，其质量可与 512 次传输数据重建的图像相媲美。从峰值信噪比（PSNR）、归一化均方误差（NMSE）和结构相似性指数测量（SSIM）等方面进行的定量评估表明，所提出的 UCT-GAN 能够从稀疏的传输数据中有效地重建高质量的反射 UCT 图像，其性能优于 RED-GAN、DnCNN-GAN 和 BM3D 等其他几种方法。在 8 个传输稀疏数据的实验中，PSNR 为 29.52 dB，SSIM 为 0.7619。该方法有望集成到 UCT 成像系统中用于临床。

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引用次数: 0

A physics-based acoustic emission energy method for mixed-mode impact damage prediction of composite laminates 基于物理的声发射能量法，用于复合材料层压板的混合模式冲击损伤预测

IF 3.8 2区物理与天体物理 Q1 ACOUSTICS

Ultrasonics

Pub Date : 2024-10-12 DOI: 10.1016/j.ultras.2024.107490

Jingjing He , Fan Yang , Haixu Wang , Xiaojun Sun , Yu Zhu , Yaokun Wang , Xuefei Guan

In-service composite laminates are susceptible to impact-induced damage, which can substantially reduce its integrity and service life. The damage prediction remains a great challenge due to mixed damage modes and varying damage patterns. This study develops a novel acoustic emission (AE) energy method for predicting damage areas under three typical damage modes. Laboratory testing of composite laminate specimens subject to quasi-static indentation is performed in conjunction with in-situ AE monitoring to acquire AE data. By bridging two sets of energy formulations developed, namely, the one that correlates the damage area and the released strain energy of each damage mode and another that relates the released strain energy to the AE energy, an analytical model for predicting damage areas using AE energy components is derived. Proper signal procedure procedures are established to extract the energy components from AE monitoring data, and numerical and testing data are used to calibrate the model parameters. The effectiveness of the proposed model is further validated by comparing the prediction results of the damage areas with the actual damage areas of specimens tested under different indentation depths. The result indicates that the proposed AE energy method can yield reliable predictions of the damage area under mixed damage modes.

使用中的复合材料层压板很容易受到冲击引起的损坏，这会大大降低其完整性和使用寿命。由于混合损伤模式和不同的损伤模式，损伤预测仍然是一个巨大的挑战。本研究开发了一种新型声发射（AE）能量方法，用于预测三种典型损坏模式下的损坏区域。在对受到准静态压痕的复合材料层压板试样进行实验室测试的同时，还进行了原位 AE 监测，以获取 AE 数据。通过将所开发的两套能量公式（即将每种损坏模式的损坏面积和释放应变能相关联的公式，以及将释放应变能与 AE 能量相关联的公式）连接起来，得出了使用 AE 能量成分预测损坏面积的分析模型。建立了从 AE 监测数据中提取能量分量的适当信号程序，并使用数值和测试数据来校准模型参数。通过比较损伤面积的预测结果和不同压痕深度下测试试样的实际损伤面积，进一步验证了所提模型的有效性。结果表明，所提出的 AE 能量方法可以可靠地预测混合损伤模式下的损伤面积。

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引用次数: 0