Ultrasonics最新文献_第2页

Ultrasonic characterization and mechanical performance of self-compacting concrete in fresh and hardened states 自密实混凝土在新硬化状态下的超声表征及力学性能

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-04-04 DOI: 10.1016/j.ultras.2025.107657

Mouhcine Benaicha , Olivier Jalbaud , Yves Burtschell

{"title":"Ultrasonic characterization and mechanical performance of self-compacting concrete in fresh and hardened states","authors":"Mouhcine Benaicha , Olivier Jalbaud , Yves Burtschell","doi":"10.1016/j.ultras.2025.107657","DOIUrl":"10.1016/j.ultras.2025.107657","url":null,"abstract":"<div><div>This study provides a thorough evaluation of self-compacting concrete (SCC) properties in both its fresh and hardened states using advanced ultrasonic testing techniques. While existing research has offered valuable insights into SCC characteristics, a systematic analysis correlating ultrasonic parameters with both rheological and mechanical properties has been lacking. This research addresses this gap through extensive testing and analysis of critical parameters, including air content, water absorption, plastic viscosity, yield stress, density, compressive strength, and Young’s modulus.</div><div>Our findings reveal that ultrasonic velocity exhibits strong positive correlations with plastic viscosity (<em>R<sup>2</sup> = 0.95</em>), yield stress (<em>R<sup>2</sup> = 0.97</em>), and fresh density (<em>R<sup>2</sup> = 0.99</em>). Increased plastic viscosity and yield stress are associated with higher ultrasonic velocity, indicating enhanced internal consistency and material integrity. Similarly, fresh density positively correlates with ultrasonic velocity, reflecting improved compactness and uniformity. These relationships underscore the significance of these parameters in influencing SCC’s ultrasonic characteristics.</div><div>In the hardened state, ultrasonic velocity shows a robust positive correlation with compressive strength (<em>R<sup>2</sup> = 0.98 to 0.99</em>) and Young’s modulus (<em>R<sup>2</sup> = 0.96 to 0.98</em>), suggesting that a denser and stiffer concrete matrix facilitates better ultrasonic wave transmission, indicative of superior structural integrity. These insights are instrumental for optimizing SCC mixture designs, enhancing both performance and durability in construction applications.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107657"},"PeriodicalIF":3.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785107","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

One shot, one SoS: A real-time, single-shot global speed of sound estimator 一个镜头，一个SoS：一个实时的，单镜头的全球声音速度估计器

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-04-03 DOI: 10.1016/j.ultras.2025.107612

Pat De la Torre, Di Xiao, Alfred C.H. Yu

{"title":"One shot, one SoS: A real-time, single-shot global speed of sound estimator","authors":"Pat De la Torre, Di Xiao, Alfred C.H. Yu","doi":"10.1016/j.ultras.2025.107612","DOIUrl":"10.1016/j.ultras.2025.107612","url":null,"abstract":"<div><div>Speed of sound (SoS), or the propagation speed of acoustic waves through a medium, is an intrinsic property of human tissue and has emerged as a new biomarker in health diagnostics. Alas, no existing technique has practically demonstrated that the tissue SoS can be robustly measured from a single pulse-echo transmission with an imaging transducer, so incorporating SoS estimation into the ultrasound imaging pipeline remains technically challenging. In this paper, we propose a novel global SoS estimation algorithm that requires only a single steered plane wave transmission for operation. Our single-shot framework derives the SoS estimate by 1) calculating each pixel’s pre-beamformed sum of normalized autocorrelation coefficients (SNAC) derived from the time-delayed channel data ensemble for an assumed SoS; 2) constructing a loss metric that is defined as, for different SoS candidates, the negated total SNAC over different pixels; 3) finding the SoS with the minimum loss value. Our single-shot SoS estimator was implemented in real-time (50 ms processing time) on a portable ultrasound research scanner. It was tested <em>in vitro</em> using agar staircase phantoms (SoS range: 1508–1682 m/s) and <em>in vivo</em> using svelte human calves (SoS range: 1573–1589 m/s). All SoS estimates were validated with reference through-transmission measurements. Results show that our framework yielded accurate SoS estimates with a small mean signed difference (MSD) <em>in vitro</em> (0.4 ± 6.5 m/s) and <em>in vivo</em> (3.8 ± 15.7 m/s). When the framework was extended to a 10-angle multi-transmission sequence, its SoS estimation performance was further improved with a smaller MSD (0.2 ± 2.0 m/s). The advent of the proposed single-shot SoS estimator can help advance the emerging use of SoS in tissue characterization and improve other imaging processes that are influenced by SoS, such as beamforming and Doppler estimation.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"153 ","pages":"Article 107612"},"PeriodicalIF":3.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820988","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

Numerical and experimental study of circular array to enhance acoustic tweezer-based particle manipulation 圆形阵列增强声波镊子粒子操纵的数值与实验研究

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-04-01 DOI: 10.1016/j.ultras.2025.107647

Yuhan Meng , Jie Zhang , Zhenyu Hong , Bruce W. Drinkwater

{"title":"Numerical and experimental study of circular array to enhance acoustic tweezer-based particle manipulation","authors":"Yuhan Meng , Jie Zhang , Zhenyu Hong , Bruce W. Drinkwater","doi":"10.1016/j.ultras.2025.107647","DOIUrl":"10.1016/j.ultras.2025.107647","url":null,"abstract":"<div><div>Acoustic tweezers enable non-contact, non-invasive manipulation, with promising applications in fields such as biology, micromechanics, and advanced materials. The circular array, commonly used to generate acoustic vortices—an important type of acoustic tweezer—consists of multiple independently addressable elements arranged in a circular configuration. By adjusting the element excitations, the circular array can flexibly control the location of particles. In this study, we employed numerical and experimental methods to analyse the relationship between device geometrical parameters and acoustic field distribution, as well as their impact on particle manipulation. Results from the three-dimensional model indicate that water surface height, array radius, and the material and thickness of the bottom observation layer, significantly influence the acoustic field distribution and, hence trapping performance. Additionally, we used trap stiffness theory to evaluate particle movement capability, and experimentally identified conditions under which trapping may fail, providing theoretical support for improving acoustic tweezer technology.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107647"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Defect localization in heterogeneous plate structures using the geometric phase change – index of Lamb waves 基于兰姆波几何相变指数的非均质板结构缺陷定位

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-31 DOI: 10.1016/j.ultras.2025.107654

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

{"title":"Defect localization in heterogeneous plate structures using the geometric phase change – index of Lamb waves","authors":"Guangdong Zhang , Tribikram Kundu , Pierre A. Deymier , Keith Runge","doi":"10.1016/j.ultras.2025.107654","DOIUrl":"10.1016/j.ultras.2025.107654","url":null,"abstract":"<div><div>Defect localization in homogeneous structures using ultrasonic waves is relatively easy to implement. However, locating defects in heterogeneous structures made of different materials can be challenging. This is because complicated reflections, refractions and scatterings occur when ultrasonic waves pass through the interfaces between two dissimilar materials of the heterogeneous structures. To address this issue, a localization methodology based on geometric phase change – index (GPC-I), derived from topological acoustic (TA) sensing, is proposed to adapt to the complicated scenarios when defects are present in heterogeneous plate structures. The GPC-I is adopted as the damage index (DI) to present the possibility of defects appearing on different acoustic sensing paths. A maximum peak value-dependent threshold in GPC-I plots (GPC-I vs. sensor sites) is defined to filter out unreliable sensing paths resulting from the heterogeneity. Different sensing modes (I and II) are combined to comprehensively provide a more reliable and accurate localization framework. Numerical modeling carried out by Abaqus/CAE software verifies the proposed GPC-I based localization technique. Comparison results among GPC-I and other two commonly used acoustic parameters—wave velocity differences (VD) and amplitude ratio (AR) (or wave attenuation) show that the GPC-I has superiority with higher sensitivity and stability for defect localization. This work can provide promising guidance for localizing defects in complex heterogeneous plate structures used in real-world engineering applications.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107654"},"PeriodicalIF":3.8,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769228","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

Spatial evolution of broadband Rayleigh waves indicative of material state 表征物质状态的宽带瑞利波的空间演化

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-29 DOI: 10.1016/j.ultras.2025.107640

Seyed Hamidreza Afzalimir, Maryam Ghodousi, Cliff J. Lissenden

{"title":"Spatial evolution of broadband Rayleigh waves indicative of material state","authors":"Seyed Hamidreza Afzalimir, Maryam Ghodousi, Cliff J. Lissenden","doi":"10.1016/j.ultras.2025.107640","DOIUrl":"10.1016/j.ultras.2025.107640","url":null,"abstract":"<div><div>Laser ultrasound is well suited to monitor metal additive manufacturing processes. Pulse laser-generated Rayleigh waveforms evolve with propagation distance due to material nonlinearity, making them a powerful tool for nondestructive evaluation, particularly for assessing microstructure. Unlike narrow-band Rayleigh waves, where the relative acoustic nonlinearity parameter is commonly used to evaluate material degradation, a pulse laser generates broadband unsymmetrical V-shaped waveforms whose spatial evolution we have characterized by a steepness parameter. Thermal aging precipitates multiple phases (including <span><math><msup><mrow><mi>γ</mi></mrow><mrow><mo>′</mo></mrow></msup></math></span> and <span><math><msup><mrow><mi>γ</mi></mrow><mrow><mo>′</mo><mo>′</mo></mrow></msup></math></span>) in Inconel718 samples that we documented by X-ray diffraction. These precipitates are associated with increased material nonlinearity. Comparing waveform spatial evolution, through changes in steepness, in samples before and after thermal aging revealed significant sensitivity to the material state. Thus, the technique has strong potential to provide unique insight into a material’s microstructure and the mechanical properties dictated by that microstructure.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107640"},"PeriodicalIF":3.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739115","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

An improved D-S evidence fusion algorithm for sub-area collaborative guided wave damage monitoring of large-scale structures 基于改进D-S证据融合算法的大尺度结构子区域协同导波损伤监测

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-27 DOI: 10.1016/j.ultras.2025.107644

Yuelin Du , Hongmei Ning , Yehai Li , Qiao Bao , Qiang Wang

{"title":"An improved D-S evidence fusion algorithm for sub-area collaborative guided wave damage monitoring of large-scale structures","authors":"Yuelin Du , Hongmei Ning , Yehai Li , Qiao Bao , Qiang Wang","doi":"10.1016/j.ultras.2025.107644","DOIUrl":"10.1016/j.ultras.2025.107644","url":null,"abstract":"<div><div>Due to the development of new materials and advanced manufacturing technologies, the application of large-scale composite structures has become increasingly widespread. Ensuring the safe and stable operation of such structures presents new challenges across various application domains. Addressing the limitations of existing guided wave structural health monitoring methods for online damage monitoring in large-scale structures, such as cumbersome equipment setup, insufficient signals coverage, and difficulties in processing massive data, a method for sub-area collaborative guided-wave-based structural damage monitoring and severity assessment based on sparse sensing is proposed. By employing a sparse sensing array layout, the structure is divided into multiple monitoring sub-areas with arranged sensing arrays to reduce overall complexity. The characteristic responses of the guided wave signals from different sub-areas are extracted to construct feature sub-spaces. Support vector machines are adopted to construct evaluation sub-networks in each feature sub-space, enabling regional monitoring. Additionally, an improved D-S evidence fusion algorithm is applied to fuse the decision-layer inputs from each evaluation sub-network, effectively utilizing the feature information from multiple sub-areas and enhancing the accuracy of damage severity assessment for large-scale structures. Experimental results on typical composite structure specimens demonstrate that by fusing the support vector machine evaluation results from each sub-area, the accuracy of damage severity assessment reaches 97.5%, with uncertainties in the severity assessment below 5%.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107644"},"PeriodicalIF":3.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739258","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

Utilization of fullerenes nanoparticles for ultrasound applications in developing a high-efficiency acoustic emission source 利用富勒烯纳米颗粒在超声领域的应用开发了一种高效声发射源

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-26 DOI: 10.1016/j.ultras.2025.107634

Huanhuan Yin, Zhihua Shao, Xueguang Qiao

{"title":"Utilization of fullerenes nanoparticles for ultrasound applications in developing a high-efficiency acoustic emission source","authors":"Huanhuan Yin, Zhihua Shao, Xueguang Qiao","doi":"10.1016/j.ultras.2025.107634","DOIUrl":"10.1016/j.ultras.2025.107634","url":null,"abstract":"<div><div>Fullerenes have exhibited excellent performance in solar cells, electric transducer and catalysts. The rather high absorption coefficient, combined with its low specific heat capacity, as well as hydrophobicity and antioxidant, are key features for applications in acoustic emission (AE), which has never been reported. Here, we fabricate and characterize a flexible an AE source based on the fullerenes-polydimethylsiloxane (PDMS) composite. By controlling the composite concentration or thickness, the center frequency can be changed in laser ultrasound excitation. The assembled transducer simultaneously achieves relatively wide frequency range (10-dB bandwidth<span><math><mo>></mo></math></span>10 MHz) and efficient laser ultrasound conversion <span><math><mrow><mo>(</mo><mn>1</mn><mo>.</mo><mn>13</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>)</mo></mrow></math></span>. The mechanical robustness of the AE source is also quantitatively characterized in water. Notably, compared to graphene nano-flakes, the fullerenes exhibit a more than threefold increase in excitation amplitude. Owing to high-intensity ultrasound excitation of the fullerenes-PDMS composite, the structure characteristics of centimeter-scaled physical models are clearly resolved by irradiating the material as a laser-ultrasound source. To construct a compact fiber-optic exciter, the fullerenes-PDMS film is additionally applied to a fiber end via dip coating. The findings suggest that fullerenes possess significant competitive advantages as a high-efficiency AE source in the field of ultrasound applications.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107634"},"PeriodicalIF":3.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748314","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

Ultrasonic scattering in polycrystalline materials with elongated grains: A comparative 3D and 2D theoretical and numerical analysis 具有细长晶粒的多晶材料中的超声散射：三维和二维理论和数值分析的比较

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-22 DOI: 10.1016/j.ultras.2025.107642

Juan Camilo Victoria-Giraldo , Bing Tie , Jérôme Laurent , Alain Lhémery , Denis Solas

{"title":"Ultrasonic scattering in polycrystalline materials with elongated grains: A comparative 3D and 2D theoretical and numerical analysis","authors":"Juan Camilo Victoria-Giraldo , Bing Tie , Jérôme Laurent , Alain Lhémery , Denis Solas","doi":"10.1016/j.ultras.2025.107642","DOIUrl":"10.1016/j.ultras.2025.107642","url":null,"abstract":"<div><div>In this paper, a previously developed theoretical model for the ultrasonic elastic wave scattering, based on the Stanke and Kino model and applicable to both 2D and 3D single-phase untextured polycrystals, is extended to microstructures with elongated grains. The effect of elongated grains on wave attenuation and phase velocity induced by scattering is investigated, highlighting similarities and discrepancies between the 2D and 3D cases. Additionally, 2D and 3D finite element (FE) models are developed to compare and validate the theoretical predictions under fixed assumptions. The morphology of the numerical polycrystalline samples is characterized using a multi-exponential two-point correlation (TPC) function which, when incorporated with the theoretical model, enables a more direct and accurate comparison. The FE models demonstrate excellent quantitative agreement with the theoretical predictions and, moreover, support the wave propagation’s directional dependency in the stochastic scattering region and the 2D-3D dimensionality dissimilarities in the Rayleigh region. It is shown that 2D attenuation can predict 3D behavior in the stochastic limit and provide insights into the estimation of 3D grain morphology in the Rayleigh limit.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107642"},"PeriodicalIF":3.8,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal principal component and measurement interval selection for PCA reconstruction-based anomaly detection in uncontrolled structural health monitoring 非受控结构健康监测中基于PCA重构的异常检测的最优主成分和测量区间选择。

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-22 DOI: 10.1016/j.ultras.2025.107632

Kang Yang , Kang Gao , Junkai Zhou , Chao Gao , Tingsong Xiao , Harsha Vardhan Tetali , Joel B. Harley

{"title":"Optimal principal component and measurement interval selection for PCA reconstruction-based anomaly detection in uncontrolled structural health monitoring","authors":"Kang Yang , Kang Gao , Junkai Zhou , Chao Gao , Tingsong Xiao , Harsha Vardhan Tetali , Joel B. Harley","doi":"10.1016/j.ultras.2025.107632","DOIUrl":"10.1016/j.ultras.2025.107632","url":null,"abstract":"<div><div>PCA reconstruction-based techniques are widely used in guided wave structural health monitoring to facilitate unsupervised damage detection. The measurement interval of collecting evaluation data significantly influences the correlation among the data points, impacting principal component values and, consequently, the accuracy of damage detection. Despite its importance, there has been limited research on the selection of suitable components and measurement intervals to reduce false alarms. This paper seeks to develop strategies for identifying the optimal number of principal components and measurement intervals for PCA reconstruction-based damage detection methods. Our results indicate that the patterns of change in reconstruction coefficients, based on the number of components used in PCA reconstruction and the measurement interval for collecting evaluation data, are effective indicators for determining the optimal principal components and measurement intervals for damage detection, without using any damage information. The effectiveness of the indicators for determining optimal components and measurement intervals is validated using evaluation sets collected under uncontrolled and dynamic monitoring conditions, with measurement intervals ranging from 86 to 8600 s per measurement.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107632"},"PeriodicalIF":3.8,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711174","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

On the use of a Transformer Neural Network to deconvolve ultrasonic signals 利用变压器神经网络对超声信号进行反卷积

IF 3.8 2区物理与天体物理

Ultrasonics Pub Date : 2025-03-21 DOI: 10.1016/j.ultras.2025.107639

T. Sendra, P. Belanger

{"title":"On the use of a Transformer Neural Network to deconvolve ultrasonic signals","authors":"T. Sendra, P. Belanger","doi":"10.1016/j.ultras.2025.107639","DOIUrl":"10.1016/j.ultras.2025.107639","url":null,"abstract":"<div><div>Pulse-echo ultrasonic techniques play a crucial role in assessing wall thickness deterioration in safety-critical industries. Current approaches face limitations with low signal-to-noise ratios, weak echoes, or vague echo patterns typical of heavily corroded profiles. This study proposes a novel combination of Convolution Neural Networks (CNN) and Transformer Neural Networks (TNN) to improve thickness gauging accuracy for complex geometries and echo patterns. Recognizing the strength of TNN in language processing and speech recognition, the proposed network comprises three modules: 1. pre-processing CNN, 2. a Transformer model and 3. a post-processing CNN. Two datasets, one being simulation-generated, and the other, experimentally gathered from a corroded carbon steel staircase specimen, support the training and testing processes. Results indicate that the proposed model outperforms other AI architectures and traditional methods, providing a 5.45% improvement over CNN architectures from NDE literature, a 1.81% improvement over ResNet-50, and a 17.5% improvement compared to conventional thresholding techniques in accurately detecting depths with a precision under 0.5<span><math><mi>λ</mi></math></span>.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"152 ","pages":"Article 107639"},"PeriodicalIF":3.8,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714960","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