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A Study on Stable Regularized Moving Least-Squares Interpolation and Coupled with SPH Method
المؤلفون المشاركون
Jiang, Hua
Chen, Yunsai
Zheng, Xing
Jin, Shanqin
Ma, Qingwei
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-28، 28ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-30
دولة النشر
مصر
عدد الصفحات
28
التخصصات الرئيسية
الملخص EN
The smoothed particle hydrodynamics (SPH) method has been popularly applied in various fields, including astrodynamics, thermodynamics, aerodynamics, and hydrodynamics.
Generally, a high-precision interpolation is required to calculate the particle physical attributes and their derivatives for the boundary treatment and postproceeding in the SPH simulation.
However, as a result of the truncation of kernel function support domain and irregular particle distribution, the interpolation using conventional SPH interpolation experiences low accuracy for the particles near the boundary and free surface.
To overcome this drawback, stable regularized moving least-squares (SRMLS) method was introduced for interpolation in SPH.
The surface fitting studies were performed with a variety of polyline bases, spatial resolutions, particle distributions, kernel functions, and support domain sizes.
Numerical solutions were compared with the results using moving least-squares (MLS) and three SPH methods, including CSPH, K2SPH, and KGFSPH, and it was found that SRMLS not only has nonsingular moment matrix, but also obtains high-accuracy result.
Finally, the capability of the algorithm coupled with SRMLS and SPH was illustrated and assessed through several numerical tests.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jiang, Hua& Chen, Yunsai& Zheng, Xing& Jin, Shanqin& Ma, Qingwei. 2020. A Study on Stable Regularized Moving Least-Squares Interpolation and Coupled with SPH Method. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-28.
https://search.emarefa.net/detail/BIM-1201965
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jiang, Hua…[et al.]. A Study on Stable Regularized Moving Least-Squares Interpolation and Coupled with SPH Method. Mathematical Problems in Engineering No. 2020 (2020), pp.1-28.
https://search.emarefa.net/detail/BIM-1201965
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jiang, Hua& Chen, Yunsai& Zheng, Xing& Jin, Shanqin& Ma, Qingwei. A Study on Stable Regularized Moving Least-Squares Interpolation and Coupled with SPH Method. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-28.
https://search.emarefa.net/detail/BIM-1201965
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1201965
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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