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    Investigation of Surface Roughness–Induced Attenuation of Reflected Waves Using a Quasi-Monte Carlo Method

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2025:;volume( 008 ):;issue: 003::page 31006-1
    Author:
    Xie, Lejuan
    ,
    Zhang, Shuzeng
    DOI: 10.1115/1.4067542
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An understanding of the influence of surface roughness on wave scattering and accurate predictions of wave amplitudes are crucial for quantitative ultrasonic nondestructive testing and evaluation. In this work, the effects of surface roughness on the reflection coefficient are investigated using a quasi-Monte Carlo (QMC) method. The wave fields reflected from smooth and rough interfaces with an immersion transducer are modeled using the Rayleigh integral method, and the solutions are efficiently calculated using the QMC method for interfaces constructed using pseudo-random samples. The reflected wave fields are simulated and presented, and the properties of coherent and incoherent waves affected by interface roughness are discussed. The surface roughness–induced attenuation of reflected waves is calculated using the ratio of received pressures for waves reflected from rough and smooth interfaces, and the predicted results are compared with those obtained using other recognized methods. It is shown that at low levels of roughness, excellent agreement is obtained between the results from the QMC method and the well-known Kirchhoff approximation, while for high levels of roughness, where the Kirchhoff theory gives pessimistic results, the predicted values agree well with those simulated using a finite element modeling approach, thus verifying the effectiveness of the proposed method.
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      Investigation of Surface Roughness–Induced Attenuation of Reflected Waves Using a Quasi-Monte Carlo Method

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    contributor authorXie, Lejuan
    contributor authorZhang, Shuzeng
    date accessioned2025-04-21T10:06:27Z
    date available2025-04-21T10:06:27Z
    date copyright2/5/2025 12:00:00 AM
    date issued2025
    identifier issn2572-3901
    identifier othernde_8_3_031006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305509
    description abstractAn understanding of the influence of surface roughness on wave scattering and accurate predictions of wave amplitudes are crucial for quantitative ultrasonic nondestructive testing and evaluation. In this work, the effects of surface roughness on the reflection coefficient are investigated using a quasi-Monte Carlo (QMC) method. The wave fields reflected from smooth and rough interfaces with an immersion transducer are modeled using the Rayleigh integral method, and the solutions are efficiently calculated using the QMC method for interfaces constructed using pseudo-random samples. The reflected wave fields are simulated and presented, and the properties of coherent and incoherent waves affected by interface roughness are discussed. The surface roughness–induced attenuation of reflected waves is calculated using the ratio of received pressures for waves reflected from rough and smooth interfaces, and the predicted results are compared with those obtained using other recognized methods. It is shown that at low levels of roughness, excellent agreement is obtained between the results from the QMC method and the well-known Kirchhoff approximation, while for high levels of roughness, where the Kirchhoff theory gives pessimistic results, the predicted values agree well with those simulated using a finite element modeling approach, thus verifying the effectiveness of the proposed method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleInvestigation of Surface Roughness–Induced Attenuation of Reflected Waves Using a Quasi-Monte Carlo Method
    typeJournal Paper
    journal volume8
    journal issue3
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4067542
    journal fristpage31006-1
    journal lastpage31006-7
    page7
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2025:;volume( 008 ):;issue: 003
    contenttypeFulltext
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