کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6758206 1431263 2018 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Rough surface reconstruction of real surfaces for numerical simulations of ultrasonic wave scattering
ترجمه فارسی عنوان
بازسازی سطح سطحی واقعی برای شبیه سازی های عددی پراکندگی موج اولتراسونیک
کلمات کلیدی
پراکندگی موج اولتراسونیک، سطح خشن، بازسازی سطح، شبیه سازی عددی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
The scattering of waves by rough surfaces plays a significant role in many fields of physical sciences including ultrasonics where failure surfaces are often rough and their accurate identification is critical. The prediction of the strength of scattering can be hampered when the roughness is not adequately characterised and this is a particular issue when the surface roughness is within an order of the incident wavelength. Here we develop a methodology to reconstruct, and accurately represent, rough surfaces using an AutoRegressive (AR) process that then allows for rapid numerical simulations of ultrasonic wave rough surface scattering in three dimensions. Gaussian, exponential and AR surfaces are reconstructed based on real surface data and the statistics of the surfaces are compared with each other. The statistics from the AR surfaces agree well with those from actual rough surfaces, taken from experimental samples, in terms of the heights as well as the gradients, which are the two main factors in accurately predicting the wave scattering intensities. Ultrasonic rough surface scattering is simulated numerically using the Kirchhoff approximation, and comparisons with Gaussian, exponential, AR and real sample surfaces are performed; scattering intensities found using AR surfaces show the best agreement with the real sample surfaces.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NDT & E International - Volume 98, September 2018, Pages 27-36
نویسندگان
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